Replication Data for: Accounting for Non-normal Distribution of Input variables and Their Correlations in Robust Optimization

ExperimentalData.mat includes the data obtained via tensile tests in three directions from 49 different samples gathered from different coils. These are the raw data used to describe the input to the optimization problem. Principal component analysis is done after subtracting their mean values. OptimizationDOE.mat includes the DOE made by LHS sampling in combined noise and design variable space, SimulationResults.mat includes the finite element simulation results that are performed on DOE points. These data are used to build the Kriging metamodel for optimization using the above-mentioned material data. WindData.mat includes the collected wind data from a weather station described in the manuscript.ExperimentalData.mat 包含了49组取自不同卷材的试样在三个方向上开展拉伸试验所得到的数据，这些是用于表征优化问题输入的原始数据。在对数据进行去均值处理后，将执行主成分分析（Principal Component Analysis）。 OptimizationDOE.mat 包含了在噪声与设计变量联合空间中通过拉丁超立方（LHS）抽样生成的实验设计（DOE）。 SimulationResults.mat 包含了在各实验设计点上开展的有限元仿真结果，此类数据可用于基于前述材料数据构建用于优化的克里金（Kriging）代理模型。 WindData.mat 包含了从论文手稿中提及的气象站采集得到的风速数据。