A web services-based multidisciplinary design optimization framework for complex engineering systems with uncertainties

2014 ◽  
Vol 65 (4) ◽  
pp. 585-597 ◽  
Author(s):  
C.W. Liu ◽  
X.X. Jin ◽  
L.S. Li
Keyword(s):  
Web Services ◽  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
Engineering Systems ◽  
Optimization Framework ◽  
Complex Engineering ◽  
Complex Engineering Systems

scholarly journals An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Ping Jiang ◽  
Jianzhuang Wang ◽  
Qi Zhou ◽  
Xiaolin Zhang
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Kriging Model ◽  
Multidisciplinary Design ◽  
High Approximation ◽  
Engineering Systems ◽  
Analytical Target Cascading ◽  
Combined Approach ◽  
Coordination Strategy ◽  
Target Cascading

Multidisciplinary design optimization (MDO) has been applied widely in the design of complex engineering systems. To ease MDO problems, analytical target cascading (ATC) organizes MDO process into multilevels according to the components of engineering systems, which provides a promising way to deal with MDO problems. ATC adopts a coordination strategy to coordinate the couplings between two adjacent levels in the design optimization process; however, existing coordination strategies in ATC face the obstacles of complicated coordination process and heavy computation cost. In order to conquer this problem, a quadratic exterior penalty function (QEPF) based ATC (QEPF-ATC) approach is proposed, where QEPF is adopted as the coordination strategy. Moreover, approximate models are adopted widely to replace the expensive simulation models in MDO; a QEPF-ATC and Kriging model combined approach is further proposed to deal with MDO problems, owing to the comprehensive performance, high approximation accuracy, and robustness of Kriging model. Finally, the geometric programming and reducer design cases are given to validate the applicability and efficiency of the proposed approach.

scholarly journals Multidisciplinary Design Optimization Framework with Coupled Derivative Computation for Hybrid Aircraft

2020 ◽  
Vol 57 (4) ◽  
pp. 715-729 ◽  
Author(s):  
Alessandro Sgueglia ◽  
Peter Schmollgruber ◽  
Nathalie Bartoli ◽  
Emmanuel Benard ◽  
Joseph Morlier ◽  
...  
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
Optimization Framework
Sign in / Sign up

Export Citation Format

Share Document