Joaquim R. R. A. Martins mainly investigates Aerodynamics, Mathematical optimization, Multidisciplinary design optimization, Computational fluid dynamics and Optimization problem. His research in Aerodynamics intersects with topics in Structural engineering, Wing and Control theory. His Wing study integrates concerns from other disciplines, such as Airfoil and Pitching moment.
Joaquim R. R. A. Martins combines subjects such as Drag coefficient, Lift, Shape optimization, Sensitivity and Automatic differentiation with his study of Mathematical optimization. His biological study spans a wide range of topics, including Transonic, Finite element method, Computational science, Drag and Aerodynamic shape optimization. Joaquim R. R. A. Martins focuses mostly in the field of Optimization problem, narrowing it down to matters related to Minification and, in some cases, Singularity and Robustness.
His scientific interests lie mostly in Aerodynamics, Mathematical optimization, Wing, Multidisciplinary design optimization and Computational fluid dynamics. High fidelity is closely connected to Control theory in his research, which is encompassed under the umbrella topic of Aerodynamics. His Mathematical optimization research incorporates themes from Sensitivity, Nonlinear system and Engineering design process.
His work focuses on many connections between Wing and other disciplines, such as Aerodynamic shape optimization, that overlap with his field of interest in Mechanical engineering. He has included themes like Shape optimization, Finite element method, Computation and Computational science in his Computational fluid dynamics study. His Aerospace engineering study combines topics in areas such as Trailing edge and Morphing.
Joaquim R. R. A. Martins mostly deals with Aerodynamics, Computational fluid dynamics, Aerodynamic shape optimization, Reynolds-averaged Navier–Stokes equations and Mechanics. In his research, Joaquim R. R. A. Martins undertakes multidisciplinary study on Aerodynamics and Multidisciplinary design optimization. His Computational fluid dynamics study incorporates themes from Computational science, Airfoil, Jacobian matrix and determinant, Applied mathematics and Nonlinear system.
His Aerodynamic shape optimization research also works with subjects such as
Joaquim R. R. A. Martins focuses on Aerodynamics, Computational fluid dynamics, Aerodynamic shape optimization, Mechanical engineering and Reynolds-averaged Navier–Stokes equations. The Aerodynamics study combines topics in areas such as Propulsion, Solver, Mathematical optimization and Robustness. His Mathematical optimization research includes themes of Modal analysis and Computer simulation.
The various areas that he examines in his Computational fluid dynamics study include Optimization problem, Jacobian matrix and determinant, Engineering design process and Nonlinear system. Joaquim R. R. A. Martins performs integrative study on Aerodynamic shape optimization and Multidisciplinary design optimization. Joaquim R. R. A. Martins interconnects Shape optimization, Open source, Convective heat transfer and Wing in the investigation of issues within Mechanical engineering.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Multidisciplinary design optimization: A survey of architectures
Joaquim R. R. A. Martins;Andrew B. Lambe.
AIAA Journal (2013)
Multidisciplinary design optimization: A survey of architectures
Joaquim R. R. A. Martins;Andrew B. Lambe.
AIAA Journal (2013)
The complex-step derivative approximation
Joaquim R. R. A. Martins;Peter Sturdza;Juan J. Alonso.
ACM Transactions on Mathematical Software (2003)
The complex-step derivative approximation
Joaquim R. R. A. Martins;Peter Sturdza;Juan J. Alonso.
ACM Transactions on Mathematical Software (2003)
pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization
Ruben E. Perez;Peter W. Jansen;Joaquim R. Martins.
Structural and Multidisciplinary Optimization (2012)
pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization
Ruben E. Perez;Peter W. Jansen;Joaquim R. Martins.
Structural and Multidisciplinary Optimization (2012)
High-Fidelity Aerostructural Design Optimization of a Supersonic Business Jet
Joaquim R. R. A. Martins;Juan J. Alonso;James J. Reuther.
Journal of Aircraft (2002)
High-Fidelity Aerostructural Design Optimization of a Supersonic Business Jet
Joaquim R. R. A. Martins;Juan J. Alonso;James J. Reuther.
Journal of Aircraft (2002)
Multipoint High-Fidelity Aerostructural Optimization of a Transport Aircraft Configuration
Gaetan K. W. Kenway;Joaquim R. R. A. Martins.
Journal of Aircraft (2014)
Multipoint High-Fidelity Aerostructural Optimization of a Transport Aircraft Configuration
Gaetan K. W. Kenway;Joaquim R. R. A. Martins.
Journal of Aircraft (2014)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Hong Kong University of Science and Technology
University of Michigan–Ann Arbor
University of Michigan–Ann Arbor
Pennsylvania State University
The University of Texas at Austin
University of Toronto
University of Michigan–Ann Arbor
University of Michigan–Ann Arbor
University of Michigan–Ann Arbor
Stanford University
University of British Columbia
University of Michigan–Ann Arbor
University of California, Berkeley
National Academies of Sciences, Engineering, and Medicine
Lanzhou University
University of Oxford
Centre national de la recherche scientifique, CNRS
University of Glasgow
University of Idaho
Royal Netherlands Academy of Arts and Sciences
University of California, San Francisco
Stanford University
University of California, San Diego
University of Michigan–Ann Arbor
University of Melbourne
Cardiff University