Publications

This is a list of publications that make use of SU2. If your publication is missing, visit the Zotero SU2 group to add it. Otherwise, send a mail with the .bib file to su2code.central@gmail.com.

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  2020 (28)
Nonintrusive continuum sensitivity analysis for fluid applications. Kulkarni, M. D; Canfield, R. A; and Patil, M. J Journal of Computational Physics, 403: 109066. 2020.
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Uncertainty Quantification and Robust Optimization in Engineering. Kumar, D.; Alam, S. B.; Vučinić, D.; and Lacor, C In Advances in Visualization and Optimization Techniques for Multidisciplinary Research, pages 63–93. Springer, 2020.
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Application of DDES to Iced Airfoil in Stanford University Unstructured (SU2). Molina, E. S; Silva, D. M; Broeren, A. P; Righi, M.; and Alonso, J. J In Progress in Hybrid RANS-LES Modelling, pages 283–293. Springer, 2020.
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Multi-Fidelity Wing Optimization Utilizing 2D to 3D Mapping in Transonic Conditions. MacDonald, T.; and Alonso, J. J In AIAA Scitech 2020 Forum, pages 1295, 2020.
Multi-Fidelity Wing Optimization Utilizing 2D to 3D Mapping in Transonic Conditions [link]Paper   doi   link   bibtex   12 downloads  
Implementation of a Size Field Based Isotropic Hex Core Meshing Algorithm. Steinbrenner, J. P; Wyman, N. J; Jefferies, M. S; Karman, S. L; and Shipman, J. In AIAA Scitech 2020 Forum, pages 1408, 2020.
Implementation of a Size Field Based Isotropic Hex Core Meshing Algorithm [link]Paper   doi   link   bibtex   6 downloads  
Applications of Polynomial Chaos-Based Cokriging to Aerodynamic Design Optimization Benchmark Problems. Nagawkar, J.; Leifsson, L. T; and Du, X. In AIAA Scitech 2020 Forum, pages 0542, 2020.
Applications of Polynomial Chaos-Based Cokriging to Aerodynamic Design Optimization Benchmark Problems [link]Paper   doi   link   bibtex   3 downloads  
Computational analysis and stability of thermally non-uniform supersonic jets. Chauhan, M.; Massa, L.; and Lowe, T. In AIAA Scitech 2020 Forum, pages 1725, 2020.
Computational analysis and stability of thermally non-uniform supersonic jets [link]Paper   doi   link   bibtex   9 downloads  
Enhancing Designer Understanding by Combining Multiple Dominance Relations and Tabu Search. Phillips, S.; and Jarrett, J. P In AIAA Scitech 2020 Forum, pages 0161, 2020.
Enhancing Designer Understanding by Combining Multiple Dominance Relations and Tabu Search [link]Paper   doi   link   bibtex   3 downloads  
A CFD-based methodology for aerodynamic-aeroacoustic shape optimization of airfoils. Ricks, N.; Tsirikoglou, P.; Contino, F.; and Ghorbaniasl, G. In AIAA Scitech 2020 Forum, pages 1729, 2020.
A CFD-based methodology for aerodynamic-aeroacoustic shape optimization of airfoils [link]Paper   doi   link   bibtex   5 downloads  
Aero-structural Design Tool for Advanced Exhaust Systems. Nigam, N.; Ayyalasomayajula, S. K; Tang, Y.; Ketha, P.; Menier, V.; Fenrich, R. W; and Alonso, J. J In AIAA Scitech 2020 Forum, pages 0162, 2020.
Aero-structural Design Tool for Advanced Exhaust Systems [link]Paper   doi   link   bibtex   3 downloads  
Numerical Study of Shock Interference Patterns for Gas Flows with Thermal Nonequilibrium and Finite-Rate Chemistry. Gomes, A. C; Fossati, M.; Maier, W.; Alonso, J. J; Scoggins, J.; Magin, T.; and Economon, T. D In AIAA Scitech 2020 Forum, pages 1805, 2020.
Numerical Study of Shock Interference Patterns for Gas Flows with Thermal Nonequilibrium and Finite-Rate Chemistry [link]Paper   doi   link   bibtex   3 downloads  
Correlation Effects in Bayesian Neural Networks for Computational Aeroacoustics Ice Detection. Hauth, J.; Huan, X.; Zhou, B. Y.; Gauger, N. R; Morelli, M.; and Guardone, A. In AIAA Scitech 2020 Forum, pages 1414, 2020.
Correlation Effects in Bayesian Neural Networks for Computational Aeroacoustics Ice Detection [link]Paper   doi   link   bibtex   3 downloads  
Shape Sensitivity for High-speed Flows with Shocks. Kulkarni, M. D In AIAA Scitech 2020 Forum, pages 0888, 2020.
Shape Sensitivity for High-speed Flows with Shocks [link]Paper   doi   link   bibtex   3 downloads  
Development of a Real-Time In-Flight Ice Detection System via Computational Aeroacoustics and Bayesian Neural Networks. Zhou, B. Y.; Gauger, N. R; Morelli, M.; Guardone, A.; Hauth, J.; and Huan, X. In AIAA Scitech 2020 Forum, pages 1638, 2020.
Development of a Real-Time In-Flight Ice Detection System via Computational Aeroacoustics and Bayesian Neural Networks [link]Paper   doi   link   bibtex   3 downloads  
Aerodynamic Heating in Missile-Fin Interaction Region. Fano, D.; Poggie, J.; and Blaisdell, G. A In AIAA Scitech 2020 Forum, pages 0583, 2020.
Aerodynamic Heating in Missile-Fin Interaction Region [link]Paper   doi   link   bibtex   5 downloads  
The Effect of Engine Location on the Aerodynamic Efficiency of a Flying-V Aircraft. Rubio Pascual, B.; and Vos, R. In AIAA Scitech 2020 Forum, pages 1954, 2020.
The Effect of Engine Location on the Aerodynamic Efficiency of a Flying-V Aircraft [link]Paper   doi   link   bibtex   3 downloads  
Effect of Target Lift Coefficient on Aerodynamic Optimization of Transonic Leading Edge Tubercles. Colpitts, R.; Perez, R. E; Jansen, P. W; and Levert-Beaulieu, A. In AIAA Scitech 2020 Forum, pages 1542, 2020.
Effect of Target Lift Coefficient on Aerodynamic Optimization of Transonic Leading Edge Tubercles [link]Paper   doi   link   bibtex   4 downloads  
Non-Intrusive Parametric Reduced Order Modeling using Randomized Algorithms. Rajaram, D.; Puranik, T. G; Perron, C.; and Mavris, D. N In AIAA Scitech 2020 Forum, pages 0417, 2020.
Non-Intrusive Parametric Reduced Order Modeling using Randomized Algorithms [link]Paper   doi   link   bibtex   3 downloads  
Adjoint-based Trailing-edge Noise Minimization using Stochastic Noise Generation. Zhou, B. Y.; Gauger, N. R; Satcunanathan, S.; Meinke, M. H; and Schroeder, W. In AIAA Scitech 2020 Forum, pages 1727, 2020.
Adjoint-based Trailing-edge Noise Minimization using Stochastic Noise Generation [link]Paper   doi   link   bibtex   4 downloads  
Aerodynamic Driven Multidisciplinary Topology Optimization of Compliant Airfoils. Gomes, P.; and Palacios, R. In AIAA Scitech 2020 Forum, pages 0894, 2020.
Aerodynamic Driven Multidisciplinary Topology Optimization of Compliant Airfoils [link]Paper   doi   link   bibtex   4 downloads  
Multi-fidelity Design Optimization of a Long Range Blended Wing Body Aircraft with New Airframe Technologies. Liu, Y.; Swamy, A. P. M.; and Elham, A. In AIAA Scitech 2020 Forum, pages 0009, 2020.
Multi-fidelity Design Optimization of a Long Range Blended Wing Body Aircraft with New Airframe Technologies [link]Paper   doi   link   bibtex   3 downloads  
One Shot Optimization with Generalized Constraints. Munguia, B. C; and Alonso, J. J In AIAA Scitech 2020 Forum, pages 0886, 2020.
One Shot Optimization with Generalized Constraints [link]Paper   doi   link   bibtex   3 downloads  
Towards Design of Airfoil Pressure Tap Locations for Real-Time Predictions Under Uncertainty Using Bayesian Neural Networks. Shen, W.; Huan, X.; Zhou, B. Y.; and Gauger, N. R In AIAA Scitech 2020 Forum, pages 0906, 2020.
Towards Design of Airfoil Pressure Tap Locations for Real-Time Predictions Under Uncertainty Using Bayesian Neural Networks [link]Paper   doi   link   bibtex   3 downloads  
A Framework of gradient-based shape optimization using feature-based CAD parameterization. Sun, L.; Yao, W.; Robinson, T.; Marques, S.; and Armstrong, C In AIAA Scitech 2020 Forum, pages 0889, 2020.
A Framework of gradient-based shape optimization using feature-based CAD parameterization [link]Paper   doi   link   bibtex   3 downloads  
Exploring Unstructured Mesh Adaptation for Hybrid Reynolds-Averaged Navier–Stokes/Large Eddy Simulation. Park, M. A; Kleb, W. L; Anderson, W. K; Wood, S. L; Balan, A.; Zhou, B. Y.; and Gauger, N. R In AIAA SciTech 2020 Forum, pages 1139, 2020.
Exploring Unstructured Mesh Adaptation for Hybrid Reynolds-Averaged Navier–Stokes/Large Eddy Simulation [link]Paper   doi   link   bibtex   3 downloads  
A Discrete Adjoint Solver for Time-Domain Fluid-Structure Interaction Problems with Large Deformations. Venkatesan-Crome, C.; and Palacios, R. In AIAA Scitech 2020 Forum, pages 0406, 2020.
A Discrete Adjoint Solver for Time-Domain Fluid-Structure Interaction Problems with Large Deformations [link]Paper   doi   link   bibtex   7 downloads  
Implementation of a pressure based incompressible flow solver in SU2 for wind turbine applications. Koodly Ravishankara, A.; Ozdemir, H.; and van der Weide, E. In AIAA Scitech 2020 Forum, pages 0992, 2020.
Implementation of a pressure based incompressible flow solver in SU2 for wind turbine applications [link]Paper   doi   link   bibtex   4 downloads  
An analysis of inviscid transonic flows over three-dimensional wings using the discontinuous Galerkin solver in SU2. Choi, J. H.; Alonso, J. J; and van der Weide, E. In AIAA Scitech 2020 Forum, pages 1564, 2020.
An analysis of inviscid transonic flows over three-dimensional wings using the discontinuous Galerkin solver in SU2 [link]Paper   doi   link   bibtex   3 downloads  
  2019 (37)
Impact of POD modes energy redistribution on flow reconstruction for unsteady flows of impulsively started airfoils and wings. Pascarella, G; Fossati, M; and Barrenechea, G International Journal of Computational Fluid Dynamics,1–11. 2019.
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Using an Anti-Fairing to Reduce Drag at Wing/Body Junctions. Belligoli, Z.; Koers, A. J; Dwight, R. P; and Eitelberg, G. AIAA Journal, 57(4): 1468–1480. 2019.
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High-Performance Derivative Computations using CoDiPack. Sagebaum, M.; Albring, T.; and Gauger, N. R ACM Transactions on Mathematical Software (TOMS), 45(4): 1–26. 2019.
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Effective adjoint approaches for computational fluid dynamics. Kenway, G. K.; Mader, C. A; He, P.; and Martins, J. R. Progress in Aerospace Sciences,100542. 2019.
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Application of Sparse Grid Surrogate Models to Airfoil Analysis and Design. Michael, N.; and Weed, R. In AIAA Aviation 2019 Forum, pages 2928, 2019.
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Far-field CFD simulations of a magnetic nozzle on a field-aligned mesh. Marks, T.; Jorns, B.; and Boyd, I. Bulletin of the American Physical Society, 64. 2019.
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Projection-based model reduction: Formulations for physics-based machine learning. Swischuk, R.; Mainini, L.; Peherstorfer, B.; and Willcox, K. Computers & Fluids, 179: 704–717. 2019.
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Uncertainty estimation module for turbulence model predictions in SU2. Mishra, A. A.; Mukhopadhaya, J.; Iaccarino, G.; and Alonso, J. AIAA Journal, 57(3): 1066–1077. 2019.
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A Numerical Investigation of Shock Wave Propagation in Ducts with Grooves. Mehdi, M.; Konstantinos, K.; and John, E. In Proceedings of a meeting held 7-11 January 2019, San Diego, California, USA, pages 22, San Diego, January 2019. AIAA
A Numerical Investigation of Shock Wave Propagation in Ducts with Grooves [link]Paper   doi   link   bibtex   abstract   3 downloads  
Combination of Polynomial Chaos with Adjoint Formulations for Optimization Under Uncertainties. Kumar, D.; Raisee, M.; and Lacor, C. In Uncertainty Management for Robust Industrial Design in Aeronautics, pages 567–582. Springer, 2019.
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Simulation and Analysis of Oscillating Airfoil Ice Shapes via a Fully Unsteady Collection Efficiency Approach. Morelli, M.; Zhou, B. Y; Guardone, A.; and others In 75th International Annual Forum American Helicopter Society (AHS), pages 1–12, 2019.
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Impact of geometric, operational, and model uncertainties on the non-ideal flow through a supersonic ORC turbine cascade. Razaaly, N.; Persico, G.; and Congedo, P. M. Energy, 169: 213–227. 2019.
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Transition Modeling for Low to High Speed Boundary Layer Flows with CFD Applications. Kaynak, U.; Bas, O.; Cakmakcioglu, S. C.; and Tuncer, I. H. In Boundary Layer Flows-Theory, Applications and Numerical Methods. IntechOpen, 2019.
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Numerical investigation of noise generation by rod-airfoil configuration using DES (SU2) and the FW-H analogy. Sharma, S.; Geyer, T. F; Sarradj, E.; and Schmidt, H. In 25th AIAA/CEAS Aeroacoustics Conference, pages 2400, 2019.
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Challenges in Sensitivity Computations for (D) DES and URANS. Albring, T.; Zhou, B. Y.; and Gauger, N. R In AIAA Scitech 2019 Forum, pages 0169, 2019.
Challenges in Sensitivity Computations for (D) DES and URANS [link]Paper   link   bibtex   4 downloads  
CUPyDO-An integrated Python environment for coupled fluid-structure simulations. Thomas, D.; Cerquaglia, M. L.; Boman, R.; Economon, T.; Alonso, J.; Dimitriadis, G.; and Terrapon, V. Advances in Engineering Software, 128: 69–85. 2019.
CUPyDO-An integrated Python environment for coupled fluid-structure simulations [link]Paper   link   bibtex   3 downloads  
Efficient global optimization with ensemble and selection of kernel functions for engineering design. Palar, P. S.; and Shimoyama, K. Structural and Multidisciplinary Optimization, 59(1): 93–116. 2019.
Efficient global optimization with ensemble and selection of kernel functions for engineering design [link]Paper   link   bibtex   3 downloads  
Powder Development and Qualification for High-Performance Cold Spray Copper Coatings on Steel Substrates. Poirier, D.; Legoux, J.; Vo, P.; Blais, B.; Giallonardo, J. D; and Keech, P. G Journal of Thermal Spray Technology, 28(3): 444–459. 2019.
Powder Development and Qualification for High-Performance Cold Spray Copper Coatings on Steel Substrates [link]Paper   link   bibtex   2 downloads  
Predictions of ice formations on wind turbine blades and power production losses due to icing. Yirtici, O.; Ozgen, S.; and Tuncer, I. H Wind Energy. 2019.
Predictions of ice formations on wind turbine blades and power production losses due to icing [link]Paper   link   bibtex   2 downloads  
Towards a Vortex Generator Model for Integral Boundary Layer Methods. Koodly Ravishankara, A.; Ozdemir, H.; and Franco, A. In AIAA Scitech 2019 Forum, pages 0803, 2019.
Towards a Vortex Generator Model for Integral Boundary Layer Methods [link]Paper   link   bibtex   2 downloads  
Towards Adjoint-based Broadband Noise Minimization using Stochastic Noise Generation. Zhou, B. Y.; Gauger, N. R; Yao, H.; Peng, S.; and Davidson, L. In AIAA Scitech 2019 Forum, pages 0002, 2019.
Towards Adjoint-based Broadband Noise Minimization using Stochastic Noise Generation [link]Paper   link   bibtex   2 downloads  
An adaptive ALE scheme for non-ideal compressible fluid dynamics over dynamic unstructured meshes. Re, B; and Guardone, A Shock Waves, 29(1): 73–99. 2019.
An adaptive ALE scheme for non-ideal compressible fluid dynamics over dynamic unstructured meshes [link]Paper   link   bibtex   2 downloads  
Towards Integrated Field Inversion and Machine Learning With Embedded Neural Networks for RANS Modeling. Holland, J. R; Baeder, J. D; and Duraisamy, K. In AIAA Scitech 2019 Forum, pages 1884, 2019.
Towards Integrated Field Inversion and Machine Learning With Embedded Neural Networks for RANS Modeling [link]Paper   link   bibtex   4 downloads  
A Computational Framework for Assessment of Fuel Sloshing Effects on Transonic Wing Flutter Characteristics. Srivastava, S.; Damodaran, M.; and Khoo, B. C. In AIAA Scitech 2019 Forum, pages 1527, 2019.
A Computational Framework for Assessment of Fuel Sloshing Effects on Transonic Wing Flutter Characteristics [link]Paper   link   bibtex   3 downloads  
Unsteady aerodynamic modeling methodology based on dynamic mode interpolation for transonic flutter calculations. Güner, H.; Thomas, D.; Dimitriadis, G.; and Terrapon, V. Journal of Fluids and Structures, 84: 218–232. 2019.
Unsteady aerodynamic modeling methodology based on dynamic mode interpolation for transonic flutter calculations [link]Paper   link   bibtex   2 downloads  
RBF-based mesh morphing approach to perform icing simulations in the aviation sector. Groth, C.; Costa, E.; and Biancolini, M. E. Aircraft Engineering and Aerospace Technology. 2019.
RBF-based mesh morphing approach to perform icing simulations in the aviation sector [link]Paper   link   bibtex   3 downloads  
NERONE: An Open-Source Based Tool for Aerodynamic Transonic Optimization of Nonplanar Wings. Pustina, L.; Cavallaro, R.; and Bernardini, G. Aerotecnica Missili & Spazio, 98(1): 85–104. 2019.
NERONE: An Open-Source Based Tool for Aerodynamic Transonic Optimization of Nonplanar Wings [link]Paper   link   bibtex   2 downloads  
Shock-Induced Separation Suppression Using CFD-Based Active Flow Control Optimization. Munguia, B. C; Mukhopadhaya, J.; and Alonso, J. J In AIAA Scitech 2019 Forum, pages 0695, 2019.
Shock-Induced Separation Suppression Using CFD-Based Active Flow Control Optimization [link]Paper   link   bibtex   2 downloads  
Nonlinear Aeroelasticity: a CFD-based Adaptive Methodology for Flutter Prediction. Bombardieri, R.; Cavallaro, R.; Sáez de Teresa, J. L.; and Karpel, M. In AIAA Scitech 2019 Forum, pages 1866, 2019.
Nonlinear Aeroelasticity: a CFD-based Adaptive Methodology for Flutter Prediction [link]Paper   link   bibtex   2 downloads  
Flow and Noise Predictions Around Tandem Cylinders using DDES approach with SU2. Molina, E.; Zhou, B. Y.; Alonso, J. J; Righi, M.; and Silva, R. G In AIAA Scitech 2019 Forum, pages 0326, 2019.
Flow and Noise Predictions Around Tandem Cylinders using DDES approach with SU2 [link]Paper   link   bibtex   2 downloads  
Optimization of an ORC supersonic nozzle under epistemic uncertainties due to turbulence models. Razaaly, N.; Gori, G.; Iaccarino, G.; and Congedo, P. In GPPS 2019, 2019.
Optimization of an ORC supersonic nozzle under epistemic uncertainties due to turbulence models [link]Paper   link   bibtex   2 downloads  
Transition Modeling for Low to High Speed Boundary Layer Flows with CFD Applications. Kaynak, U.; Bas, O.; Cakmakcioglu, S. C.; and Tuncer, I. H. In Boundary Layer Flows-Theory, Applications and Numerical Methods. IntechOpen, 2019.
Transition Modeling for Low to High Speed Boundary Layer Flows with CFD Applications [link]Paper   link   bibtex   3 downloads  
Robust optimization of turbine cascades for Organic Rankine Cycles operating with siloxane MDM. Razaaly, N; Gori, G; Le Maıtre, O; Iaccarino, G; and Congedo, P. . 2019.
Robust optimization of turbine cascades for Organic Rankine Cycles operating with siloxane MDM [pdf]Paper   link   bibtex   2 downloads  
Combination of Polynomial Chaos with Adjoint Formulations for Optimization Under Uncertainties. Kumar, D.; Raisee, M.; and Lacor, C. In Uncertainty Management for Robust Industrial Design in Aeronautics, pages 567–582. Springer, 2019.
Combination of Polynomial Chaos with Adjoint Formulations for Optimization Under Uncertainties [link]Paper   link   bibtex   2 downloads  
Viscous-Inviscid Analysis of Transonic Swept Wings using 2.5 D RANS and Parametric Shapes. Kontogiannis, A.; Parenteau, M.; and Laurendeau, E. In AIAA Scitech 2019 Forum, pages 2116, 2019.
Viscous-Inviscid Analysis of Transonic Swept Wings using 2.5 D RANS and Parametric Shapes [link]Paper   link   bibtex   2 downloads  
Optimal Compliant Airfoils Using Fully Non-Linear FSI Models. Venkatesan-Crome, C.; Carrusca Gomes, P.; and Palacios, R. In AIAA Scitech 2019 Forum, pages 1216, 2019.
Optimal Compliant Airfoils Using Fully Non-Linear FSI Models [link]Paper   link   bibtex   2 downloads  
A kinetic BGK edge-based scheme including vibrational and electronic energy modes for High-Mach flows. Fossati, M.; Mogavero, A.; Herrera-Montojo, J.; Scggings, J.; and Magin, T. Computers and Fluids, 185(15): 1–12. 2019.
A kinetic BGK edge-based scheme including vibrational and electronic energy modes for High-Mach flows [link]Paper   link   bibtex   2 downloads  
  2018 (25)
Numerical Investigation of Shock Wave Propagation in Ducts with Grooves. Mortazawy Mehdi In Proceeding of 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), Glasgow, UK, June 2018.
Numerical Investigation of Shock Wave Propagation in Ducts with Grooves [pdf]Paper   link   bibtex   abstract   2 downloads  
Numerical Simulation of Shock Wave Propagation in Ducts with Grooves. Mortazawy Mehdi Ph.D. Thesis, Embry-Riddle Aeronautical University, Daytona Beach, Florida, May 2018.
Numerical Simulation of Shock Wave Propagation in Ducts with Grooves [link]Paper   link   bibtex   abstract   2 downloads  
Effects of Power Deposition on the Aerodynamic Forces on a Slender Body. Gutierrez, D. R.; and Poggie, J. AIAA Journal, 56(7): 2911–2917. 2018.
Effects of Power Deposition on the Aerodynamic Forces on a Slender Body [link]Paper   doi   link   bibtex   2 downloads  
Uncertainty Estimation Module for Turbulence Model Predictions in SU2. Mishra, A. A.; Mukhopadhaya, J.; Iaccarino, G.; and Alonso, J. AIAA Journal, 57(3): 1066–1077. 2018.
Uncertainty Estimation Module for Turbulence Model Predictions in SU2 [link]Paper   link   bibtex   2 downloads  
An automated CFD analysis workflow in overall aircraft design applications. Gu, X.; Ciampa, P. D.; and Nagel, B. CEAS Aeronautical Journal, 9(1): 3–13. 2018.
An automated CFD analysis workflow in overall aircraft design applications [link]Paper   link   bibtex   2 downloads  
Adjoint-based fluid dynamic design optimization in quasi-periodic unsteady flow problems using a harmonic balance method. Rubino, A.; Pini, M.; Colona, P.; Albring, T.; Nimmagadda, S.; Economon, T.; and Alonso, J. J. Journal of Computational Physics, 372(1): 220–235. January 2018.
Adjoint-based fluid dynamic design optimization in quasi-periodic unsteady flow problems using a harmonic balance method [link]Paper   link   bibtex   2 downloads  
Sensitivity Analysis of Aerospace Configurations Using Open-Source Tool SU2. Kaushik, K.; Subrahmanya, M.; and Suman, V. . 2018.
Sensitivity Analysis of Aerospace Configurations Using Open-Source Tool SU2 [pdf]Paper   link   bibtex   3 downloads  
RANS Simulations of the High Lift Common Research Model with Open-Source Code SU2. Matiz-Chicacausa, A; Escobar, J; Velasco, D; Rojas, N; and Sedano, C In Numerical Simulation of the Aerodynamics of High-Lift Configurations, pages 93–111. Springer, 2018.
RANS Simulations of the High Lift Common Research Model with Open-Source Code SU2 [link]Paper   link   bibtex   3 downloads  
PRACE Project Airinnova: Automation of High-Fidelity CFD Analysis for Aircraft Design and Optimization. Zhanga, M.; Gongb, J.; Axnerb, L.; and Barthb, M. . 2018.
PRACE Project Airinnova: Automation of High-Fidelity CFD Analysis for Aircraft Design and Optimization [pdf]Paper   link   bibtex   2 downloads  
Accurate gradient computations for shape optimization via discrete adjoints in CFD-related multiphysics problems. Burghardt, O.; and Gauger, N. R arXiv preprint arXiv:1811.00068. 2018.
Accurate gradient computations for shape optimization via discrete adjoints in CFD-related multiphysics problems [link]Paper   link   bibtex   2 downloads  
Implementation of SU2 Solver with Cell-Based Data Structure for 3D RANS Equations. Mansoor Saatloo, M. In 2018 Fluid Dynamics Conference, pages 4155, 2018.
Implementation of SU2 Solver with Cell-Based Data Structure for 3D RANS Equations [link]Paper   link   bibtex   2 downloads  
Fluid Structure Interaction Problems with CIRA Structured CFD solver. CINQUEGRANA, D.; and VITAGLIANO, P. L. . 2018.
Fluid Structure Interaction Problems with CIRA Structured CFD solver [pdf]Paper   link   bibtex   2 downloads  
AERODYNAMIC OPTIMIZATION USING FSI COUPLED ADJOINTS IN SU2. Venkatesan-Crome, C.; Sanchez, R.; and Palacios, R. structure, 3(4): 5. 2018.
AERODYNAMIC OPTIMIZATION USING FSI COUPLED ADJOINTS IN SU2 [pdf]Paper   link   bibtex   6 downloads  
Comparison of the Finite Volume and Discontinuous Galerkin schemes for the Double Vortex Pairing Problem using the SU2 Software Suite. Singh, K.; Drikakis, D.; Frank, M.; Kokkinakis, I. W; Alonso, J. J; Economon, T. D; and van der Weide, E. T In 2018 AIAA Aerospace Sciences Meeting, pages 1833, 2018.
Comparison of the Finite Volume and Discontinuous Galerkin schemes for the Double Vortex Pairing Problem using the SU2 Software Suite [link]Paper   link   bibtex   2 downloads  
RANS Simulation of Transport Aircraft Configuration Using Open Source Code SU2 with Roe Scheme. Puttam, J. K.; Suman, V. K.; Nagarajan, K. K.; and Babu, K M. . 2018.
RANS Simulation of Transport Aircraft Configuration Using Open Source Code SU2 with Roe Scheme [pdf]Paper   link   bibtex   3 downloads  
Uncertainty quantification of turbulence models for complex aerospace flows. Mishra, A.; Mukhopadhaya, J; Iaccarino, G; and Alonso, J. J. . 2018.
Uncertainty quantification of turbulence models for complex aerospace flows [pdf]Paper   link   bibtex   2 downloads  
Accurate numerical simulation on the structural response of the VEGA payload fairing using modal coupling approach. Schmidt, H; Koh, S; Dafnis, A; Schröder, K.; and Schröder, W CEAS Space Journal,1–11. 2018.
Accurate numerical simulation on the structural response of the VEGA payload fairing using modal coupling approach [link]Paper   link   bibtex   2 downloads  
High Fidelity Aerodynamics Models for Blended Wing Body Design. CERQUETANI, L; SGUEGLIA, A; BENARD, E; and SCHMOLLGRUBER, P Int Jr Rob and Auto Engg: IJARE-103. 2018.
High Fidelity Aerodynamics Models for Blended Wing Body Design [pdf]Paper   link   bibtex   3 downloads  
A ROBUST EXPERIMENT DESIGN FOR THE INVESTIGATION OF NON-IDEAL COMPRESSIBLE-FLUID FLOW EFFECTS. Zocca, M.; Gori, G.; Le Maitre, O.; Congedo, P. M; and Guardone, A. . 2018.
A ROBUST EXPERIMENT DESIGN FOR THE INVESTIGATION OF NON-IDEAL COMPRESSIBLE-FLUID FLOW EFFECTS [pdf]Paper   link   bibtex   2 downloads  
Robust Optimization of a Supersonic ORC Turbine Cascade: a Quantile-based Approach. Razaaly, N.; Persico, G.; Gori, G.; and Congedo, P. M. In ECFD 7-7th European Conference on Computational Fluid Dynamic, 2018.
Robust Optimization of a Supersonic ORC Turbine Cascade: a Quantile-based Approach [pdf]Paper   link   bibtex   2 downloads  
A look-up table method based on unstructured grids and its application to non-ideal compressible fluid dynamic simulations. Rubino, A; Pini, M; Kosec, M; Vitale, S; and Colonna, P Journal of computational science, 28: 70–77. 2018.
A look-up table method based on unstructured grids and its application to non-ideal compressible fluid dynamic simulations [link]Paper   link   bibtex   2 downloads  
PIRA: performance instrumentation refinement automation. Lehr, J.; Hück, A.; and Bischof, C. In Proceedings of the 5th ACM SIGPLAN International Workshop on Artificial Intelligence and Empirical Methods for Software Engineering and Parallel Computing Systems, pages 1–10, 2018. ACM
PIRA: performance instrumentation refinement automation [link]Paper   link   bibtex   2 downloads  
Reconstruction of Unsteady Flows Using Reduced Order Modeling. Pascarella, G.; Barrenechea, G.; and Fossati, M. In 2018.
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Low-cost unsteady discrete adjoints for aeroacoustic optimization using temporal and spatial coarsening techniques. Nimmagadda, S.; Economon, T. D.; Alonso, J. J.; Silva, C.; Zhou, B. Y.; and Albring, T. In 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics, 2018.
Low-cost unsteady discrete adjoints for aeroacoustic optimization using temporal and spatial coarsening techniques [link]Paper   doi   link   bibtex   2 downloads  
Simulation and Adjoint-based Design for Variable Density Incompressible Flows with Heat Transfer. Economon, T. D. In 2018 Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2018.
Simulation and Adjoint-based Design for Variable Density Incompressible Flows with Heat Transfer [link]Paper   doi   link   bibtex   2 downloads  
  2017 (15)
Su2: the open-source software for non-ideal compressible flows. Pini, M.; Vitale, S; Colonna, P; Gori, G.; Guardone, A.; Economon, T; Alonso, J.; and Palacios, F In Journal of Physics: Conference Series, volume 821, pages 012013, 2017. IOP Publishing
Su2: the open-source software for non-ideal compressible flows [link]Paper   link   bibtex   2 downloads  
Fully turbulent discrete adjoint solver for non-ideal compressible flow applications. S. Vitale, T. A.; and M. Pini, N. R. G. Journal of the Global Power and Propulsion Society, 1: 252–270. November 2017.
Fully turbulent discrete adjoint solver for non-ideal compressible flow applications [link]Paper   link   bibtex   2 downloads  
Adjoint Formulation Investigations of Benchmark Aerodynamic Design Cases in SU2. T. Economon, J. J. A.; and T. Albring, N. R. G. AIAA 2017-4363. June 2017.
Adjoint Formulation Investigations of Benchmark Aerodynamic Design Cases in SU2 [link]Paper   link   bibtex   2 downloads  
Assessment of the Recursive Projection Method for the Stabilization of Discrete Adjoint Solvers. T. Albring, T. D. AIAA 2017-3664. June 2017.
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Reduction of Airframe Noise Components Using a Discrete Adjoint Approach. Zhou, B. Y.; Albring, T.; Gauger, N. R.; Silva, C. R. I. d.; Economon, T. D.; and Alonso, J. J. AIAA 2017-3658. June 2017.
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Optimal Actuation of Dielectric Membrane Wings using High-Fidelity Fluid-Structure Modelling. R. Sanchez, R. P.; T. D. Economon, J. J. A.; and T. Albring, N. R. G. AIAA 2017-0857. January 2017.
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High-Performance Derivative Computations using CoDiPack. Sagebaum, M.; Albring, T.; and Gauger, N. R. arXiv preprint arXiv:1709.07229. January 2017.
High-Performance Derivative Computations using CoDiPack [link]Paper   link   bibtex   2 downloads  
Official preCICE Adapters for Standard Open-Source Solvers. Uekermann, B.; Bungartz, H.; Cheung Yau, L.; Chourdakis, G.; and Rusch, A. In Proceedings of the 7th GACM Colloquium on Computational Mechanics for Young Scientists from Academia, October 2017.
Official preCICE Adapters for Standard Open-Source Solvers [pdf]Paper   link   bibtex   2 downloads  
Multi-fidelity uncertainty analysis in CFD using hierarchical kriging. Palar, P. S; and Shimoyama, K. In 35th AIAA Applied Aerodynamics Conference, pages 3261, 2017.
Multi-fidelity uncertainty analysis in CFD using hierarchical kriging [link]Paper   link   bibtex   2 downloads  
A Discrete Adjoint Framework for Low-Boom Supersonic Aircraft Shape Optimization. Munguia, B. C.; Economon, T. D.; and Alonso, J. J. In 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Denver, Colorado, June 2017. American Institute of Aeronautics and Astronautics
A Discrete Adjoint Framework for Low-Boom Supersonic Aircraft Shape Optimization [link]Paper   doi   link   bibtex   2 downloads  
A Discrete Adjoint Approach for Jet-Flap Interaction Noise Reduction. Zhou, B. Y.; Albring, T.; Gauger, N. R.; Ilario da Silva, C. R.; Economon, T. D.; and Alonso, J. J. In 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics, 2017.
A Discrete Adjoint Approach for Jet-Flap Interaction Noise Reduction [link]Paper   doi   link   bibtex   2 downloads  
Hybrid RANS/LES Calculations in SU2. Molina, E.; Spode, C.; Annes da Silva, R. G.; Manosalvas-Kjono, D. E.; Nimmagadda, S.; Economon, T. D.; Alonso, J. J.; and Righi, M. In 23rd AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2017.
Hybrid RANS/LES Calculations in SU2 [link]Paper   doi   link   bibtex   2 downloads  
Computations of Active Flow Control for Heavy Vehicle Drag Reduction. Manosalvas-Kjono, D. E.; Economon, T. D.; Othmer, C.; and Jameson, A. In 35th AIAA Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics, 2017.
Computations of Active Flow Control for Heavy Vehicle Drag Reduction [link]Paper   doi   link   bibtex   1 download  
Adjoint of generalized outflow-based functionals applied to hypersonic inlet design. Kline, H.; and Alonso, J. AIAA Journal,3903–3915. 2017.
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The Continuous Adjoint Method for Multi-Fidelity Hypersonic Inlet Design. Kline, H. L. Ph.D. Thesis, Department of Aeronautics and Astronautics, Stanford University, 2017.
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  2016 (11)
Performance optimizations for scalable implicit RANS calculations with SU2. Economon, T. D; Mudigere, D.; Bansal, G.; Heinecke, A.; Palacios, F.; Park, J.; Smelyanskiy, M.; Alonso, J. J; and Dubey, P. Computers & Fluids, 129: 146–158. 2016.
Performance optimizations for scalable implicit RANS calculations with SU2 [link]Paper   link   bibtex   1 download  
Towards a Fluid-Structure Interaction solver for problems with large deformations within the open-source SU2 suite. Sanchez, R.; Palacios, R.; Economon, T. D; Kline, H. L; Alonso, J. J; and Palacios, F. In 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, pages 0205, 2016.
Towards a Fluid-Structure Interaction solver for problems with large deformations within the open-source SU2 suite [link]Paper   link   bibtex   1 download  
Efficient aerodynamic design using the discrete adjoint method in SU2. Albring, T.; Sagebaum, M.; and Gauger, N. R In 17th AIAA/ISSMO multidisciplinary analysis and optimization conference, pages 3518, 2016.
Efficient aerodynamic design using the discrete adjoint method in SU2 [link]Paper   link   bibtex   1 download  
Assessment of the fluid-structure interaction capabilities for aeronautical applications of the open-source solver SU2. Sanchez, R.; Kline, H.; Thomas, D.; Variyar, A.; Righi, M.; Economon, T. D; Alonso, J. J; Palacios, R.; Dimitriadis, G.; and Terrapon, V. . 2016.
Assessment of the fluid-structure interaction capabilities for aeronautical applications of the open-source solver SU2 [link]Paper   link   bibtex   1 download  
Optimal Flow Actuation for Separation Control and Noise Minimization. Zhou, B. Y.; Albring, T.; and Gauger, N. R. Proceedings of 9th International Conference on Computational Fluid Dynamics, ICCFD9-2016-191,. December 2016.
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An Efficient Unsteady Aerodynamic and Aeroacoustic Design Framework Using Discrete Adjoint. Zhou, B. Y.; Albring, T.; Gauger, N. R.; Silva, C. R. I. d.; Economon, T. D.; and Alonso, J. J. AIAA 2016-3369. July 2016.
An Efficient Unsteady Aerodynamic and Aeroacoustic Design Framework Using Discrete Adjoint [link]Paper   link   bibtex   1 download  
Multifidelity Conceptual Design and Optimization of Strut-Braced Wing Aircraft using Physics Based Methods. Variyar, A.; Economon, T. D.; and Alonso, J. J. In 54th AIAA Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 2016.
Multifidelity Conceptual Design and Optimization of Strut-Braced Wing Aircraft using Physics Based Methods [link]Paper   doi   link   bibtex   1 download  
Robust uniform time sampling approach for the harmonic balance method. Nimmagadda, S.; Economon, T. D.; Alonso, J. J.; and Ilario da Silva, C. R. In 46th AIAA Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2016.
Robust uniform time sampling approach for the harmonic balance method [link]Paper   doi   link   bibtex   1 download  
Computational Design of Drag Diminishing Active Flow Control Systems for Heavy Vehicles. Manosalvas, D. E.; Economon, T. D.; Othmer, C.; and Jameson, A. In 8th AIAA Flow Control Conference. American Institute of Aeronautics and Astronautics, 2016.
Computational Design of Drag Diminishing Active Flow Control Systems for Heavy Vehicles [link]Paper   doi   link   bibtex   1 download  
Mulit-Objective Optimization of a Hypersonic Inlet Using Generalized Outflow Boundary Conditions in the Continuous Adjoint Method. Kline, H. L.; Economon, T. D.; and Alonso, J. J. In 54th AIAA Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 2016.
Mulit-Objective Optimization of a Hypersonic Inlet Using Generalized Outflow Boundary Conditions in the Continuous Adjoint Method [link]Paper   doi   link   bibtex   1 download  
Multi-Objective Optimization of a Hypersonic Inlet Using Generalized Outflow Boundary Conditions in the Continuous Adjoint Method. Kline, H.; Economon, T.; and Alonso, J. In 54th AIAA Aerospace Sciences Meeting, 2016.
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  2015 (14)
Implementation of ball-center spring analogy mesh deformation technique with CFD design optimization. Yang, Y.; and Özgen, S. In 22nd AIAA Computational Fluid Dynamics Conference, pages 2612, 2015.
Implementation of ball-center spring analogy mesh deformation technique with CFD design optimization [link]Paper   link   bibtex   1 download  
Non-ideal compressible-fluid dynamics simulation with su2: Numerical assessment of nozzle and blade flows for organic rankine cycle applications. Gori, G.; Guardone, A.; Vitale, S; Head, A; Pini, M; Colonna, P; and others In 3rd International Seminar on ORC Power Systems. Brussels, Belgium, 2015.
Non-ideal compressible-fluid dynamics simulation with su2: Numerical assessment of nozzle and blade flows for organic rankine cycle applications [pdf]Paper   link   bibtex   2 downloads  
Comparison of open-source CFD software for aerodynamic analysis of mini-UAV. Vogeltanz, T. In 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC), pages 5E3–1, 2015. IEEE
Comparison of open-source CFD software for aerodynamic analysis of mini-UAV [link]Paper   link   bibtex   2 downloads  
Development of a Consistent Discrete Adjoint Solver in an Evolving Aerodynamic Design Framework. Albring, T.; Sagebaum, M.; and Gauger, N. R. AIAA 2015-3240. February 2015.
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An Aerodynamic Design Framework based on Algorithmic Differentiation. Albring, T.; Zhou, B. Y.; Gauger, N. R.; and Sagebaum, M. ERCOFTAC Bulletin, 102: 10–16. March 2015.
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A Discrete Adjoint Framework for Unsteady Aerodynamic and Aeroacoustic Optimization. Zhou, B. Y.; Albring, T. A.; Gauger, N. R.; Economon, T. D.; Palacios, F.; and Alonso, J. J. In 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2015.
A Discrete Adjoint Framework for Unsteady Aerodynamic and Aeroacoustic Optimization [link]Paper   doi   link   bibtex   2 downloads  
Extension of the SU2 open source CFD code to the simulation of turbulent flows of fuids modelled with complex thermophysical laws. Vitale, S.; Gori, G.; Pini, M.; Guardone, A.; Economon, T. D.; Palacios, F.; Alonso, J. J.; and Colonna, P. In 22nd AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2015.
Extension of the SU2 open source CFD code to the simulation of turbulent flows of fuids modelled with complex thermophysical laws [link]Paper   doi   link   bibtex   1 download  
Techniques for the Design of Active Flow Control Systems in Heavy Vehicles. Manosalvas, D. E.; Economon, T. D.; Palacios, F.; and Jameson, A. In 33rd AIAA Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics, 2015.
Techniques for the Design of Active Flow Control Systems in Heavy Vehicles [link]Paper   doi   link   bibtex   1 download  
Unsteady Continuous Adjoint Approach for Aerodynamic Design on Dynamic Meshes. Economon, T. D.; Palacios, F.; and Alonso, J. J. AIAA Journal, 53(9): 2437–2453. July 2015.
Unsteady Continuous Adjoint Approach for Aerodynamic Design on Dynamic Meshes [link]Paper   doi   link   bibtex  
Large-scale aircraft design using SU2. Palacios, F.; Economon, T. D.; and Alonso, J. J. In 53rd AIAA Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 2015.
Large-scale aircraft design using SU2 [link]Paper   doi   link   bibtex  
SUAVE: An Open-Source Environment for Multi-Fidelity Conceptual Vehicle Design. Lukaczyk, T. W.; Wendorff, A. D.; Colonno, M.; Economon, T. D.; Alonso, J. J.; Orra, T. H.; and Ilario, C. In 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2015.
SUAVE: An Open-Source Environment for Multi-Fidelity Conceptual Vehicle Design [link]Paper   doi   link   bibtex  
SU2: An Open-Source Suite for Multiphysics Simulation and Design. Economon, T. D.; Palacios, F.; Copeland, S. R.; Lukaczyk, T. W.; and Alonso, J. J. AIAA Journal, 54(3): 828–846. December 2015.
SU2: An Open-Source Suite for Multiphysics Simulation and Design [link]Paper   doi   link   bibtex  
Towards High-Performance Optimizations of the Unstructured Open-Source SU2 Suite. Economon, T. D.; Palacios, F.; Alonso, J. J.; Bansal, G.; Mudigere, D.; Deshpande, A.; Heinecke, A.; and Smelyanskiy, M. In AIAA Infotech \char64 Aerospace. American Institute of Aeronautics and Astronautics, 2015.
Towards High-Performance Optimizations of the Unstructured Open-Source SU2 Suite [link]Paper   doi   link   bibtex   1 download  
Adjoint-Based Optimization of a Hypersonic Inlet. Kline, H.; Palacios, F.; Economon, T.; and Alonso, J. In 22nd AIAA Computational Fluid Dynamics Conference, Dallas, TX, June 2015.
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  2014 (7)
A matrix-form GSM–CFD solver for incompressible fluids and its application to hemodynamics. Yao, J.; and Liu, G. Computational Mechanics, 54(4): 999–1012. 2014.
A matrix-form GSM–CFD solver for incompressible fluids and its application to hemodynamics [link]Paper   link   bibtex  
Multi-fidelity uncertainty quantification: application to a vertical axis wind turbine under an extreme gust. Padron, A. S; Alonso, J. J; Palacios, F.; Barone, M. F; and Eldred, M. S In 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, pages 3013, 2014.
Multi-fidelity uncertainty quantification: application to a vertical axis wind turbine under an extreme gust [link]Paper   link   bibtex   1 download  
A Consistent and Robust Discrete Adjoint Solver for the Stanford University Unstructured (SU2) Framework – Validation and Application. Albring, T.; Sagebaum, M.; and Gauger, N. R. Jahresbericht der Deutschen Strömungsmechanischen Arbeitsgemeinschaft STAB,40–41. December 2014.
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Stanford University Unstructured (SU2): Analysis and Design Technology for Turbulent Flows. Palacios, F.; Economon, T. D.; Aranake, A.; Copeland, S. R.; Lonkar, A. K.; Lukaczyk, T. W.; Manosalvas, D. E.; Naik, K. R.; Padron, S.; Tracey, B.; Variyar, A.; and Alonso, J. J. In 52nd Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 2014.
Stanford University Unstructured (SU2): Analysis and Design Technology for Turbulent Flows [link]Paper   doi   link   bibtex   3 downloads  
An Unsteady Continuous Adjoint Approach for Aerodynamic Design on Dynamic Meshes. Economon, T. D.; Palacios, F.; and Alonso, J. J. In 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2014.
An Unsteady Continuous Adjoint Approach for Aerodynamic Design on Dynamic Meshes [link]Paper   doi   link   bibtex  
Finding Computationally Inexpensive Methods to Model the Flow Past Heavy Vehicles and the Design of Active Flow Control Systems for Drag Reduction. Manosalvas, D. E.; Economon, T. D.; Palacios, F.; and Jameson, A. In 32nd AIAA Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics, 2014.
Finding Computationally Inexpensive Methods to Model the Flow Past Heavy Vehicles and the Design of Active Flow Control Systems for Drag Reduction [link]Paper   doi   link   bibtex  
Sensitivity of the Performance of a 3-Dimensional Hypersonic Inlet to Shape Deformations. Kline, H.; Palacios, F.; and Alonso, J. In 19th AIAA International Space Planes and Hypersonic Systems and Technologies Conference, Atlanta, GA, June 2014.
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  2013 (4)
Stanford University Unstructured (SU\textasciicircum2): An open-source integrated computational environment for multi-physics simulation and design. Palacios, F.; Alonso, J.; Duraisamy, K.; Colonno, M.; Hicken, J.; Aranake, A.; Campos, A.; Copeland, S.; Economon, T.; Lonkar, A.; Lukaczyk, T.; and Taylor, T. In 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. American Institute of Aeronautics and Astronautics, 2013.
Stanford University Unstructured (SU\textasciicircum2): An open-source integrated computational environment for multi-physics simulation and design [link]Paper   doi   link   bibtex   15 downloads  
Unsteady Aerodynamic Design on Unstructured Meshes with Sliding Interfaces. Economon, T.; Palacios, F.; and Alonso, J. In 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. American Institute of Aeronautics and Astronautics, 2013.
Unsteady Aerodynamic Design on Unstructured Meshes with Sliding Interfaces [link]Paper   doi   link   bibtex   4 downloads  
A Viscous Continuous Adjoint Approach for the Design of Rotating Engineering Applications. Economon, T. D.; Palacios, F.; and Alonso, J. J. In 21st AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2013.
A Viscous Continuous Adjoint Approach for the Design of Rotating Engineering Applications [link]Paper   doi   link   bibtex   2 downloads  
An Adjoint-Based Aerodynamic Shape Optimization Methodology for Fairing Systems. Colonno, M.; Palacios, F.; Economon, T. D.; Lonkar, A. K.; and Alonso, J. J. In 31st AIAA Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics, 2013.
An Adjoint-Based Aerodynamic Shape Optimization Methodology for Fairing Systems [link]Paper   doi   link   bibtex   1 download  
  2012 (2)
Optimal Shape Design for Open Rotor Blades. Economon, T.; Palacios, F.; and Alonso, J. In 30th AIAA Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics, 2012.
Optimal Shape Design for Open Rotor Blades [link]Paper   doi   link   bibtex   1 download  
A Coupled-Adjoint Method for Aerodynamic and Aeroacoustic Optimization. Economon, T.; Palacios, F.; and Alonso, J. In 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2012.
A Coupled-Adjoint Method for Aerodynamic and Aeroacoustic Optimization [link]Paper   doi   link   bibtex   1 download