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A time-space Kriging-based sequential metamodeling approach for multi-objective crashworthiness optimization

机译：基于时空Kriging的顺序元建模方法用于多目标抗撞性优化

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摘要

A time-space Kriging-based sequential metamodeling approach is proposed for multi objective crashworthiness optimization (MOCO) in this paper. By defining the novel time space design criteria, the constructed metamodels for the optimization objectives include the characteristic mechanical responses with respect to both the structural space domain and crash time domain, compared to standard metrics with the extremum of the time history of the entire structure. The adaptive addition of new samples is performed to gradually improve the approximation accuracy during the optimization with the guidance of an adaptive weighted sum method. The effectiveness of the proposed method is demonstrated by investigating a multi-cell thin-walled crashworthiness design problem. Finally, its effectiveness in practical engineering is validated by the crashworthiness design for a vehicle under full-overlap frontal crash loadcase. (C) 2018 Elsevier Inc. All rights reserved.
机译：本文提出了一种基于时空Kriging的顺序元建模方法，用于多目标防撞性优化（MOCO）。通过定义新颖的时空设计标准，与具有整个结构时间历史极值的标准度量相比，用于优化目标的已构建元模型包括相对于结构空间域和碰撞时域的特征机械响应。在自适应加权和方法的指导下，在优化过程中执行新样本的自适应加法，以逐渐提高近似精度。通过研究多单元薄壁耐撞性设计问题证明了该方法的有效性。最后，通过在全重叠正面碰撞载荷工况下的车辆的耐撞性设计，验证了其在实际工程中的有效性。 （C）2018 Elsevier Inc.保留所有权利。

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