Effective adjoint approaches for computational fluid dynamics
The adjoint method is used for high-fidelity aerodynamic shape optimization and is an
efficient approach for computing the derivatives of a function of interest with respect to a …
efficient approach for computing the derivatives of a function of interest with respect to a …
A comprehensive review of educational articles on structural and multidisciplinary optimization
Ever since the publication of the 99-line topology optimization MATLAB code (top99) by
Sigmund in 2001, educational articles have emerged as a popular category of contributions …
Sigmund in 2001, educational articles have emerged as a popular category of contributions …
A graph-based methodology for constructing computational models that automates adjoint-based sensitivity analysis
The adjoint method provides an efficient way to compute sensitivities for system models with
a large number of inputs. However, implementing the adjoint method requires significant …
a large number of inputs. However, implementing the adjoint method requires significant …
OpenMDAO: An open-source framework for multidisciplinary design, analysis, and optimization
Multidisciplinary design optimization (MDO) is concerned with solving design problems
involving coupled numerical models of complex engineering systems. While various MDO …
involving coupled numerical models of complex engineering systems. While various MDO …
Bayesian optimization of combinatorial structures
The optimization of expensive-to-evaluate black-box functions over combinatorial structures
is an ubiquitous task in machine learning, engineering and the natural sciences. The …
is an ubiquitous task in machine learning, engineering and the natural sciences. The …
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities, application to aerospace systems
The design process of complex systems such as new configurations of aircraft or launch
vehicles is usually decomposed in different phases which are characterized by the depth of …
vehicles is usually decomposed in different phases which are characterized by the depth of …
A computational architecture for coupling heterogeneous numerical models and computing coupled derivatives
One of the challenges in computational modeling is coupling models to solve
multidisciplinary problems. Flow-based computational frameworks alleviate part of the …
multidisciplinary problems. Flow-based computational frameworks alleviate part of the …
Large-scale multidisciplinary design optimization of an evtol aircraft using comprehensive analysis
View Video Presentation: https://doi. org/10.2514/6.2023-0146. vid This paper presents a
framework under development for enabling large-scale multi-fidelity modeling and …
framework under development for enabling large-scale multi-fidelity modeling and …
Towards a multi-fidelity & multi-objective Bayesian optimization efficient algorithm
Black-box optimization methods like Bayesian optimization are often employed in cases
where the underlying objective functions and their gradient are complex, expensive to …
where the underlying objective functions and their gradient are complex, expensive to …
Large-scale multidisciplinary optimization of an electric aircraft for on-demand mobility
Distributed electric propulsion is a key enabling technology for on-demand electric aircraft
concepts. NASA's X-57 Maxwell X-plane is a demonstrator for this technology, and it …
concepts. NASA's X-57 Maxwell X-plane is a demonstrator for this technology, and it …