基于改进BP-GA方法的FPSO舷侧结构耐撞性能优化设计
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摘要
基于遗传算法和ABAQUS参数化有限元仿真技术,对传统的BP-GA优化方法进行改进,并采用改进的BP-GA方法对浮式生产储油卸油装置(FPSO)舷侧结构的耐撞性能进行优化,以验证其可行性和准确性。结果表明,与传统的BP神经网络相比,经遗传算法优化的BP神经网络具有更高的预测精度和更强的泛化能力;改进的BP-GA优化方法可在结构减重的基础上进一步提高结构的耐撞性能,能较好地适用于复杂的FPSO舷侧结构耐撞性优化设计。采用的优化方法具有通用性,可为抗爆性能的优化设计提供参考。
The traditional BP-GA optimization method is improved based on the genetic algorithm and ABAQUS parameterized FEM simulation technology. The crashworthiness of a FPSO side structure is optimized by using improved BP-GA to verify its feasibility and precision. The results show that the BP neural network optimized by genetic algorithm has higher prediction accuracy and generalization ability than the traditional BP neural network. The improved BP-GA optimization method can further improve the crashworthiness of structures based on structural weight reduction, which is more suitable for the complex ship structure crashworthiness optimization. The proposed optimization method is versatile and can provide a reference for the optimization of the anti-explosion capacity.
The traditional BP-GA optimization method is improved based on the genetic algorithm and ABAQUS parameterized FEM simulation technology. The crashworthiness of a FPSO side structure is optimized by using improved BP-GA to verify its feasibility and precision. The results show that the BP neural network optimized by genetic algorithm has higher prediction accuracy and generalization ability than the traditional BP neural network. The improved BP-GA optimization method can further improve the crashworthiness of structures based on structural weight reduction, which is more suitable for the complex ship structure crashworthiness optimization. The proposed optimization method is versatile and can provide a reference for the optimization of the anti-explosion capacity.
引文
[1]高振国.船体桁材在碰撞与搁浅中的结构变形机理及FPSO舷侧结构抗撞性能研究[D].上海:上海交通大学,2015.
[2]高振国,胡志强,王革.FPSO舷侧结构抗撞性能的解析计算研究[J].工程力学,2014,31(S1):155-160.
[3]何欢,朱广荣,何成,等.基于Kriging模型的结构耐撞性优化[J].南京航空航天大学学报,2014,46(2):297-303.
[4]LI M,DENG Z,GUO H,et al.Optimizing Crashworthiness Design of Square Honeycomb Structure[J].Journal of Central South University,2014,21(3):912-919.
[5]JIANG Z,GU M.Optimization of a Fender Structure for the Crashworthiness Design[J].Materials&Design,2010,31(3):1085-1095.
[6]ZAREI H R,KR?GER M.Bending Behavior of Empty and Foam-filled Beams:Structural Optimization[J].International Journal of Impact Engineering,2008,35(6):521-529.
[7]李丹.双舷侧结构耐撞性能影响因素研究及优化分析[D].哈尔滨:哈尔滨工业大学,2015.
[8]王自力,朱学军,顾永宁.船体结构耐撞性优化设计方法研究[J].中国造船,2000,41(2):34-40.
[9]蒋致禹.船舶护舷结构的碰撞研究[D].上海:上海交通大学,2010.
[10]张延昌,葛珅玮,刘昆,等.基于正交设计与BP-GA算法的船体结构耐撞性能优化设计[J].江苏科技大学学报(自然科学版),2013,27(6):511-517.
[11]申红莲.改进遗传算法及其应用[D].河北保定:华北电力大学,2007.
[12]胡宗文,刘昆,王自力.撞击船艏刚度对船体结构碰撞性能影响[J].振动与冲击,2014,33(14):149-154.
[13]刘瑞江,张业旺,闻崇炜,等.正交试验设计和分析方法研究[J].实验技术与管理,2010,27(9):52-55.
[14]曹金凤.Python语言在Abaqus中的应用[M].北京:机械工业出版社,2011.
[2]高振国,胡志强,王革.FPSO舷侧结构抗撞性能的解析计算研究[J].工程力学,2014,31(S1):155-160.
[3]何欢,朱广荣,何成,等.基于Kriging模型的结构耐撞性优化[J].南京航空航天大学学报,2014,46(2):297-303.
[4]LI M,DENG Z,GUO H,et al.Optimizing Crashworthiness Design of Square Honeycomb Structure[J].Journal of Central South University,2014,21(3):912-919.
[5]JIANG Z,GU M.Optimization of a Fender Structure for the Crashworthiness Design[J].Materials&Design,2010,31(3):1085-1095.
[6]ZAREI H R,KR?GER M.Bending Behavior of Empty and Foam-filled Beams:Structural Optimization[J].International Journal of Impact Engineering,2008,35(6):521-529.
[7]李丹.双舷侧结构耐撞性能影响因素研究及优化分析[D].哈尔滨:哈尔滨工业大学,2015.
[8]王自力,朱学军,顾永宁.船体结构耐撞性优化设计方法研究[J].中国造船,2000,41(2):34-40.
[9]蒋致禹.船舶护舷结构的碰撞研究[D].上海:上海交通大学,2010.
[10]张延昌,葛珅玮,刘昆,等.基于正交设计与BP-GA算法的船体结构耐撞性能优化设计[J].江苏科技大学学报(自然科学版),2013,27(6):511-517.
[11]申红莲.改进遗传算法及其应用[D].河北保定:华北电力大学,2007.
[12]胡宗文,刘昆,王自力.撞击船艏刚度对船体结构碰撞性能影响[J].振动与冲击,2014,33(14):149-154.
[13]刘瑞江,张业旺,闻崇炜,等.正交试验设计和分析方法研究[J].实验技术与管理,2010,27(9):52-55.
[14]曹金凤.Python语言在Abaqus中的应用[M].北京:机械工业出版社,2011.