Performance of surrogate models in reliability-based design optimization

机译：替代模型在基于可靠性的设计优化中的性能

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摘要

Structural designs are progressively more conditioned by uncertainty in a wide range of fields, and new designs have to meet the requirements of safety and efficiency. Probabilistic optimization is a powerful tool able to improve and optimize initial designs into others which are more efficient. In spite of the continuous growth of computational power, this kind of optimization usually turns out to be unaffordable, due to the computational cost of the methods involved. However, parallel computing and surrogate models can overcome this drawback by reducing drastically the total computational cost of the process. In this paper, a survey of the performance of several surrogate models combined with reliability-based design optimization is presented. Two examples are selected to show the behavior of the methods when applied to different models.

机译：结构设计越来越受到广泛领域不确定性的制约，新设计必须满足安全性和效率的要求。概率优化是一个功能强大的工具，能够将初始设计改进和优化为其他更有效的设计。尽管计算能力在不断增长，但由于所涉及方法的计算成本高昂，因此这种优化通常无法负担。但是，并行计算和代理模型可以通过大大减少该过程的总计算成本来克服此缺点。本文对几种替代模型的性能进行了调查，并结合了基于可靠性的设计优化。选择了两个示例来展示方法应用于不同模型时的行为。

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来源
《High performance and optimum design of structures and materials》|2014年|371-380|共10页
会议地点 Ostend(BE)
作者
M. Cid Montoya; J. Diaz; S. Hernandez;
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作者单位

Structural Mechanics Group, School of Civil Engineering, University of La Coruna, Spain;

Structural Mechanics Group, School of Civil Engineering, University of La Coruna, Spain;

Structural Mechanics Group, School of Civil Engineering, University of La Coruna, Spain;

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原文格式 PDF
正文语种 eng
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关键词
uncertainty quantification; reliability based design optimization; surrogate models;

机译：不确定度量化基于可靠性的设计优化；替代模型;

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2. Global kriging surrogate modeling for general time-variant reliability-based design optimization problems [J] . Hawchar Lara, El Soueidy Charbel-Pierre, Schoefs Franck Structural and multidisciplinary optimization . 2018,第3期

机译：全球Kriging基于时变形可靠性的设计优化问题的替代模型
3. Reliability-based design optimization with progressive surrogate models [J] . Pugazhendhi Kanakasabai, Anoop K. Dhingra Engineering Optimization . 2014,第10a12期

机译：基于渐进代理模型的基于可靠性的设计优化
4. Performance of surrogate models in reliability-based design optimization [C] . M. Cid Montoya, J. Diaz, S. Hernandez International conference on high performance and optimum design of structures and materials . 2014

机译：基于可靠性的设计优化的代理模型的性能
5. Reliability-based design optimization using surrogate model with assessment of confidence level [D] . Zhao, Liang 2011

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6. Fuzzy Multi-SVR Learning Model for Reliability-Based Design Optimization of Turbine Blades [O] . Chun-Yi Zhang, Ze Wang, Cheng-Wei Fei, 2019

机译：基于模糊Multi-SVR学习模型的涡轮叶片可靠性优化设计
7. Reliability-based design optimization using surrogate model with assessment of confidence level [O] . Liang Zhao -1

机译：基于可靠性的设计优化，替代模型评估置信水平
8. Efficient Variable Screening Method for Effective Surrogate Models for Reliability-Based Design Optimization. [R] . Cho, H., Bae, S., Choi, K. K., 2014

机译：基于可靠性设计优化的有效替代模型的有效变量筛选方法。

Performance of surrogate models in reliability-based design optimization

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