Optimization of a fender structure for the crashworthiness design

Optimization of a fender structure for the crashworthiness design
复制标题

DOI:
10.1016/j.matdes.2009.09.047
复制
发表时间:
2010-03-01
期刊:
影响因子:
8.4
通讯作者:
Gu, Mintong
Gu, Mintong
中科院分区:
材料科学1区
文献类型:
--
作者:
Jiang, Zhiyu;Gu, Mintong

文献摘要

被引文献

相似文献

船舶靠泊过程中,护舷往往承受较大的碰撞载荷。本文介绍了一种变几何尺寸规则型船舶护舷结构的耐撞性设计。在优化过程中,以比吸能(SEA)和最大压碎力(Pm)为目标,以蒙皮厚度、骨架厚度、纵向加强筋厚度和护舷高度为设计变量。首先进行非线性有限元分析,以捕捉196个样本的碰撞响应。之后,进行参数研究,以调查不同的变量对设计目标的影响。一个反向传播神经网络,然后构建代理模型,制定变量和目标之间的映射。在网络验证时,应用多目标遗传算法获得Pareto最优解。最优集合被定义为具有最大SEA与Pm比率的解。采用灵敏度分析技术对最优集的独立设计变量进行了检验和验证。(C)2009爱思唯尔有限公司保留所有权利。
Ship fenders often take large crash loads during berthing. This paper presents a crashworthiness design of a regular ship fender structure with varying geometric dimensions. In the optimization, specific energy absorption (SEA) and maximum crushing force (Pm) are set as two objectives and the thickness of the outer skin, the thickness of the frames, the thickness of the longitudinally reinforced stiffener and the height of the fender are selected as four design variables. Nonlinear finite element analysis is first carried out to capture the crash responses of 196 samples. Afterwards, parametric studies are performed to investigate the influences of different variables on the design objectives. A back-propagation neural network is then constructed as the surrogate model to formulate the mapping between the variables and the objectives. When the network is validated, a multi-objective genetic algorithm is applied to obtain the Pareto optimal solutions. The optimum set is defined as the solution with the maximum SEA to Pm ratio. The independent design variables of the optimum set are tested and verified using sensitivity analysis technique. (C) 2009 Elsevier Ltd. All rights reserved.