Journal ArticleDOI
Review of Metamodeling Techniques in Support of Engineering Design Optimization
Gongming Wang,Songqing Shan +1 more
- Vol. 129, Iss: 4, pp 370-380
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TLDR
This work reviews the state-of-the-art metamodel-based techniques from a practitioner's perspective according to the role of meetamodeling in supporting design optimization, including model approximation, design space exploration, problem formulation, and solving various types of optimization problems.Abstract:
Computation-intensive design problems are becoming increasingly common in manufacturing industries. The computation burden is often caused by expensive analysis and simulation processes in order to reach a comparable level of accuracy as physical testing data. To address such a challenge, approximation or metamodeling techniques are often used. Metamodeling techniques have been developed from many different disciplines including statistics, mathematics, computer science, and various engineering disciplines. These metamodels are initially developed as “surrogates” of the expensive simulation process in order to improve the overall computation efficiency. They are then found to be a valuable tool to support a wide scope of activities in modern engineering design, especially design optimization. This work reviews the state-of-the-art metamodel-based techniques from a practitioner’s perspective according to the role of metamodeling in supporting design optimization, including model approximation, design space exploration, problem formulation, and solving various types of optimization problems. Challenges and future development of metamodeling in support of engineering design is also analyzed and discussed.Copyright © 2006 by ASMEread more
Citations
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Journal ArticleDOI
Multi-objective optimization of an automotive body component with fiber-reinforced composites
TL;DR: In this paper, the design optimization process of a vehicle front body structure made of short-fiber composites is proposed, where the aim of the optimization process is to reduce the weight in consideration of quality and production characteristics.
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An optimal pointwise weighted ensemble of surrogates based on minimization of local mean square error
TL;DR: By using six well-known mathematical problems and four engineering problems, it is proved that the OPWE proposed in this paper is better than the other ensembles of surrogates in terms of both accuracy and robustness.
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Performance of different optimization concepts for reactive flow systems based on combined CFD and response surface methods
Philip Rößger,Andreas Richter +1 more
TL;DR: An improved multi-parameter and multi-objective optimization concept for reactive flow systems and demonstrates this concept for a new quench reactor is developed and shown that radial basis function metamodels in combination with a certain number of CFD calculations provide a robust and efficient optimization scheme.
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Multi-point objective-oriented sequential sampling strategy for constrained robust design
Ping Zhu,Siliang Zhang,Wei Chen +2 more
TL;DR: The results show that the proposed method can mitigate the effect of both metamodelling uncertainty and design uncertainty, and identify the robust design solution more efficiently than the single-point sequential sampling approach.
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Metamodeling-based approach for risk assessment and cost estimation: Application to geological carbon sequestration planning
TL;DR: A Python based, Leakage Assessment and Cost Estimation (PyLACE) web application was developed for quantifying financial risks associated with potential leakage from geologic carbon sequestration sites and is demonstrated using a multilayer, carbon storage model.
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