Comparative Benchmark Studies of Response Surface Model-Based Optimization and Direct Multidisciplinary Design Optimization

2014 ◽  
Author(s):  
Hongyi Xu ◽  
Monica T. Majcher ◽  
Ching-Hung Chuang ◽  
Yan Fu ◽  
Ren-Jye Yang
Keyword(s):  
Design Optimization ◽  
Response Surface ◽  
Multidisciplinary Design Optimization ◽  
Response Surface Model ◽  
Multidisciplinary Design ◽  
Surface Model ◽  
Model Based

Application of Multidisciplinary Design Optimization in the Truss Spar Concept Design

2010 ◽  
Author(s):  
Zhe Jiang ◽  
Weicheng Cui ◽  
Xiaoping Huang
Keyword(s):  
Design Optimization ◽  
Response Surface ◽  
Multidisciplinary Design Optimization ◽  
Coupling Effect ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Design Solution ◽  
Traditional Design ◽  
System Solution ◽  
Truss Spar

In the traditional design of a Truss Spar, designers usually choose different discipline as major concentration in different design phases. The coupling effect among disciplines can hardly be accounted for. Multidisciplinary design optimization has been proved to be an effective tool for the design of complex engineering systems, which takes all disciplines into account at the same time and exploit coupling effect among disciplines, thereby achieving the optimal system solution. In this paper, a multidisciplinary optimization scheme for a Truss Spar is firstly developed and the Truss Spar is decomposed into four modules: weight module, hydrodynamic module, structure module and stability module. Response surface method is used to replace the high-fidelity analysis to perform the approximate mathematical models of the objective function/constraints as a function of design variables. In order to enhance the accuracy of the predicted optimum, the response surface models are continuously updated using the information obtained from the numerical simulation of latest iterative results. Finally, an optimal design solution, which satisfies all the constraints, is obtained using collaborative optimization. The characteristics of the optimized design solution including hull weight, heave response, stability performance and strength of the bottom deck, are much improved comparing with traditional design.

Multidisciplinary Design Optimization on Conceptual Design of Aero-engine

2016 ◽  
Vol 33 (2) ◽  
Author(s):  
Xiao-bo Zhang ◽  
Zhan-xue Wang ◽  
Li Zhou ◽  
Zeng-wen Liu
Keyword(s):  
Design Optimization ◽  
Conceptual Design ◽  
Multidisciplinary Design Optimization ◽  
System Level ◽  
Multidisciplinary Design ◽  
Design Stage ◽  
Surface Model ◽  
Coupled Problem ◽  
Aero Engine ◽  
Integrated Performance

AbstractIn order to obtain better integrated performance of aero-engine during the conceptual design stage, multiple disciplines such as aerodynamics, structure, weight, and aircraft mission are required. Unfortunately, the couplings between these disciplines make it difficult to model or solve by conventional method. MDO (Multidisciplinary Design Optimization) methodology which can well deal with couplings of disciplines is considered to solve this coupled problem. Approximation method, optimization method, coordination method, and modeling method for MDO framework are deeply analyzed. For obtaining the more efficient MDO framework, an improved CSSO (Concurrent Subspace Optimization) strategy which is based on DOE (Design Of Experiment) and RSM (Response Surface Model) methods is proposed in this paper; and an improved DE (Differential Evolution) algorithm is recommended to solve the system-level and discipline-level optimization problems in MDO framework. The improved CSSO strategy and DE algorithm are evaluated by utilizing the numerical test problem. The result shows that the efficiency of improved methods proposed by this paper is significantly increased. The coupled problem of VCE (Variable Cycle Engine) conceptual design is solved by utilizing improved CSSO strategy, and the design parameter given by improved CSSO strategy is better than the original one. The integrated performance of VCE is significantly improved.

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