Design of computer experiments for developing seismic surrogate models
Design of computer experiments for developing seismic surrogate models
复制标题
开发地震替代模型的计算机实验设计
DOI：
10.1177/87552930211033309
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发表时间：
2021
影响因子：
5
通讯作者：
Zhengxiang Yi
中科院分区：
文献类型：
--
作者：
H. Burton;Hongquan Xu;Zhengxiang Yi
代理模型在地震工程界越来越受欢迎，因为它们能够提高计算密集型任务的效率。本文探讨了开发地震代理模型的计算机实验设计（DoCE）。讨论了两类DoCE方法，同时强调了特定方法的优点和缺点。通过一个说明性的案例研究，开发代理模型来预测中位倒塌能力和预期的年损失单户木结构建筑与跛脚墙提供了进一步的见解。仔细检查了所选DoCE方法对相关替代模型的预测性能和效率（就所需的显式模拟数量而言）的影响。结果表明，阶乘和拉丁超立方体设计（LHD）不执行时，使用不同的方法来生成的训练集和测试集（即设计外类型的测试）。一个有效的混合设计，结合了正交阵列为基础的复合设计与少量的LHD样本，产生一个代理模型具有优越的上级预测性能。
Surrogate models are growing in popularity within the earthquake engineering community because of their ability to increase the efficiency of computationally intensive tasks. This article examines the design of computer experiments (DoCE) for the purpose of developing seismic surrogate models. Two categories of DoCE approaches are discussed while underscoring the benefits and drawbacks of specific methods. Further insight is provided through an illustrative case study that develops surrogate models to predict the median collapse capacity and expected annual losses in single-family woodframe buildings with cripple walls. The implications of the chosen DoCE method on the predictive performance and efficiency (in terms of the required number of explicit simulations) of the associated surrogate models are closely examined. The results show that both factorial and Latin hypercube designs ( LHDs ) do not perform well when different approaches are used to generate the training and testing sets (i.e. out-of-design-type testing). An efficient hybrid design that combines an orthogonal array-based composite design with a small number of LHD samples is shown to produce a surrogate model with superior predictive performance.