Multidiciplinary optimization is a key element of the design process. To date multidisciplinary optimization methods that use low fidelity methods are well developed. Gradient based optimization methods that use data from 3-D linear aerodynamic solvers and 2-D structural solvers have been applied to complex aerospace configurations. However, use of high fidelity methods such as Euler/Navier Stokes methods for fluids and 3-D finite element method for structures is not as well developed. As an activity of the Multidisciplinary Design Optimization Technical Committee (MDO TC) of AIAA, an effort was initiated to assess the status and use of high fidelity methods in multidisciplinary optimization. Contributions were solicited through the members...
Gradient-based aero-structural optimization strategies using high-fidelity CFD methods and close-to-...
International audienceAs part of a global effort toward the reduction of CO2 emissions, the study of...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83549/1/AIAA-2010-9231-250.pd
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is...
Multi-disciplinary design optimization (MDO) is a field that has gained traction in recent years. It...
The Ph.D. program has been focused on the development of a multidisciplinary integrated environment ...
Numerical optimization has been successfully applied to multidisciplinary design optimizations such ...
The expected computational power that will become available in the next years and decades will allow...
Over the past decade, profound attention was given to exploring the benefits of engaging numerical m...
The main objectives of the research was to further develop the necessary fundamental algorithms to e...
Industry-relevant multidisciplinary design and optimization (MDO) processes engage numerous computat...
Efficient optimization algorithms are required to reduce the computational costs of Multidisciplinar...
AbstractThis paper addresses the development of a multidisciplinary optimization procedure using an ...
This work focuses on the implementation of a complex multidisciplinary computational environment for...
This article presents the development and application of a high-fidelity simulation process chain fo...
Gradient-based aero-structural optimization strategies using high-fidelity CFD methods and close-to-...
International audienceAs part of a global effort toward the reduction of CO2 emissions, the study of...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83549/1/AIAA-2010-9231-250.pd
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is...
Multi-disciplinary design optimization (MDO) is a field that has gained traction in recent years. It...
The Ph.D. program has been focused on the development of a multidisciplinary integrated environment ...
Numerical optimization has been successfully applied to multidisciplinary design optimizations such ...
The expected computational power that will become available in the next years and decades will allow...
Over the past decade, profound attention was given to exploring the benefits of engaging numerical m...
The main objectives of the research was to further develop the necessary fundamental algorithms to e...
Industry-relevant multidisciplinary design and optimization (MDO) processes engage numerous computat...
Efficient optimization algorithms are required to reduce the computational costs of Multidisciplinar...
AbstractThis paper addresses the development of a multidisciplinary optimization procedure using an ...
This work focuses on the implementation of a complex multidisciplinary computational environment for...
This article presents the development and application of a high-fidelity simulation process chain fo...
Gradient-based aero-structural optimization strategies using high-fidelity CFD methods and close-to-...
International audienceAs part of a global effort toward the reduction of CO2 emissions, the study of...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83549/1/AIAA-2010-9231-250.pd