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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A generalised collaborative optimisation method and its combination with kriging metamodels for engineering design
TL;DR: In this article, a generalised collaborative optimisation (GCO) method is proposed in the field of multidisciplinary design optimization (MDO), where the linear normalization method is adopted in GCO to remove inconsistencies caused by the range discrepancies between design variables.
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An efficient variable screening method for effective surrogate models for reliability-based design optimization
TL;DR: It is found that output variance is critical for identifying important variables in the RBDO process and an efficient approximation method based on the univariate dimension reduction method (DRM) is proposed to calculate output variance efficiently.
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Research on Metamodel-Based Global Design Optimization and Data Mining Methods
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Analysis of gene expression programming for approximation in engineering design
TL;DR: Comparative results indicate that GEP can achieve the most accurate and robust approximation of a low-dimensional design space for small sample sets and for large sample sets, and the transparency of GEP is the best since it can provide clear function relationships and factor contributions by means of compact expressions.
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Metamodel-Based Seismic Fragility Analysis of Concrete Gravity Dams
TL;DR: Probabilistic methods, such as fragility analysis, have been developed as a promising alternative for the seismic assessment of dam-type structures, but given the costly reevaluation o...
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