Using multi-level structural optimization method for ship chamber structure design

DOI：

 作者 单位 E-mail 赵智超 大连理工大学船舶工程学院 凌川惠 大连理工大学船舶工程学院 李楷 大连理工大学船舶工程学院 likai@dlut.edu.cn

对升船机承船厢进行结构优化的意义在于通过减轻结构自重以提高有效载重量,从而能够满足更大吨位的船舶过坝要求,改善经济性。针对承船厢的板梁结构形式特点,本文提出了综合应用BESO和RSM方法的多层次结构优化设计方法,涵盖尺度优化、拓扑优化和截面优化三个层次。该方法的核心(KOP)是使用BESO方法从基结构中获得优化解。在尺度优化层次,根据不同的主要尺度参数建立相应的基结构模型,应用KOP得到相应优化解,并建立响应面模型进行尺度优化求解。在拓扑优化层次,根据最优尺度参数重新建立基结构模型调用KOP求解,得到最优拓扑。由于最优拓扑解存在锯齿边,在截面优化层次需要对各截面进行光滑处理。将光滑处理问题转化为对截面参数的求解,建立截面参数与优化目标的响应面模型,最终确定各截面形状。通过某500吨级升船机承船厢的结构优化设计实例,验证了本文提出的多层次结构优化设计方法的可行性和有效性。

In order to meet the requirements of the larger tonnage ship over dam, it is necessary to optimize the structure of the ship chamber to reduce the structural weight, and improve the effective load to improve the economy. In this paper, a multi-level structure optimization based on BESO method and RSM method is proposed, which covers three optimization levels, as dimension optimization, topology optimization and section optimization. The kernel optimization procedure (KOP) of the method is using BESO to obtain the optimal topology from a ground structure. In the dimension optimization level, many structural models are generated based on different dimensional parameters. According to the corresponding optimization solutions obtained by KOP, the RS model is created to obtain the optimal dimension parameters. In the topology optimization level, the ground structure is reconstructed by using the KOP on the basis of optimal dimension parameters, and then the optimal topology could be obtained. As there are some jagged edges in the optimal topology solution, it is necessary to convert the sections in the section optimization level. RSM is used to determine the section parameters, and then the locations and shapes of structural members could be determined. The method is applied to the structural design of a 500t ship chamber, the optimization results demonstrate that the multi-level structural optimization method can lead to a greater weight saving and a less calculation cost, compared with original design and GA-based optimization results.
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