What question did this study set out to answer?

Review state-of-the-art adaptive surrogate modeling techniques developed to improve computational efficiency in reliability-based design optimization under manufacturing and operational uncertainties.

September 5, 2022IEEE Transactions on Reliability

An Overview of Adaptive-Surrogate-Model-Assisted Methods for Reliability-Based Design Optimization

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Authors

CLChunyan LingShanghai University WKWay KuoCity University of Hong Kong MXMin XieCity University of Hong Kong

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Implication

Systematic review evaluates adaptive surrogate models in reliability-based design optimization, highlighting computational trade-offs and persistent challenges in uncertainty-aware engineering.

Key Points

Review state-of-the-art adaptive surrogate modeling techniques developed to improve computational efficiency in reliability-based design optimization under manufacturing and operational uncertainties.
Reviewed foundational reliability-based design optimization (RBDO) principles and canonical constraint-handling strategies.
Conducted a systematic analysis categorizing adaptive surrogate modeling algorithms across diverse engineering domains.
Evaluated method-specific trade-offs regarding computational overhead, approximation accuracy, and integration complexity.
Adaptive surrogate models consistently reduce the number of expensive numerical simulations required to locate reliable optimal designs.
Identified critical ongoing challenges, including algorithmic convergence in high-dimensional parameter spaces and sampling efficiency near complex limit-state boundaries.

Cite This Study

Ling et al. (2022) studied this question.

synapsesocial.com/papers/69d844f5d56ca42147d17f9b https://doi.org/10.1109/tr.2022.3200137

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Implication

Systematic review evaluates adaptive surrogate models in reliability-based design optimization, highlighting computational trade-offs and persistent challenges in uncertainty-aware engineering.

An Overview of Adaptive-Surrogate-Model-Assisted Methods for Reliability-Based Design Optimization

Discussion

Member takes

Implication

Key Points

Cite This Study

An Overview of Adaptive-Surrogate-Model-Assisted Methods for Reliability-Based Design Optimization

Discussion

Member takes

Implication

Key Points

Cite This Study

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