基于量子遗传算法的钢管焊接结构焊缝损伤识别
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摘要
利用从发射台骨架试验模型获取的模态参数,选择识别结果中精度较好的模态频率作为模型修正的基准频率。通过对待修正参数的灵敏度分析,运用ANSYS和MATLAB软件对有限元模型进行了修正。以实测模态和计算模态之间的误差建立一个带约束边界的非线性最小二乘目标函数,将损伤识别问题转化为优化问题,引入量子遗传算法处理模态参数,进行结构的损伤识别。为了让量子遗传算法更适用于结构工程损伤识别领域,提出了改进的动态策略调整量子门旋转角。以有限元模型焊接结点单元组弹性模量的降低模拟焊缝损伤,并假定了损伤工况,对发射台骨架模型的数值仿真及试验研究表明:该损伤识别方法识别效果较为理想,为解决这种复杂焊接结构焊缝损伤识别问题提供了新的思路。
The identified frequencies which were more accurate were selected as updating parameters.Then the initial finite element model was modified by ANSYS and MATLAB based on sensitivity ana-lysis.A nonlinear least-squares objective function with bound-constrains was determined by minimizing the error between the experimental and analytical modal modes to bring damage detection into optimization with this method.The quantum genetic algorithms were used to deal with the model para-meters for structural damage detection.The improved dynamic adjustment strategy was introduced to adjust the quantum rotation corner.Finally,the proposed method was applied to damage detection on the frame of a launch platform.The elastic modulus reduction of jointing crunodes elements group was taken to simulate the weld seam damage and two cases were investigated.The simulation and experiment results show that the proposed method is well suitable for weld seam damage detection of such complex steel tube welded structures.
The identified frequencies which were more accurate were selected as updating parameters.Then the initial finite element model was modified by ANSYS and MATLAB based on sensitivity ana-lysis.A nonlinear least-squares objective function with bound-constrains was determined by minimizing the error between the experimental and analytical modal modes to bring damage detection into optimization with this method.The quantum genetic algorithms were used to deal with the model para-meters for structural damage detection.The improved dynamic adjustment strategy was introduced to adjust the quantum rotation corner.Finally,the proposed method was applied to damage detection on the frame of a launch platform.The elastic modulus reduction of jointing crunodes elements group was taken to simulate the weld seam damage and two cases were investigated.The simulation and experiment results show that the proposed method is well suitable for weld seam damage detection of such complex steel tube welded structures.
引文
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[2]马立元,李世龙,李永军,等.基于子结构及模态柔度曲率差的某框架结构损伤识别[J].海军工程大学学报,2011,23(5):21-26.MA Li-yuan,LI Shi-long,LI Yong-jun,et al.Damage identification of a frame based on substructure and modalflexibility curvature difference[J].Journal of Naval University of Engineering,2011,23(5):21-26.(in Chinese)
[3]曹军宏,韦灼彬.基于独立分量分析和神经网络的钢结构损伤识别方法研究[J].海军工程大学学报,2012,24(2):57-61.CAO Jun-hong,WEI Zhuo-bin.Steel damage detection method based on intergrating independent component ana-lysis and neural network[J].Journal of Naval University of Engineering,2012,24(2):57-61.(in Chinese)
[4]瞿伟廉,黄东梅.大型复杂结构的两阶段损伤诊断方法[J].世界地震工程,2010,19(2):72-78.QU Wei-lian,HUANG Dong-mei.Two-step damage diagnosis methods of large and complex structures[J].World Earthquake Engineering,2010,19(2):72-78.(in Chinese)
[5]胡家顺,冯新,李昕,等.裂纹梁振动分析和裂纹识别方法研究进展[J].振动与冲击,2007,26(11):146-150.HU Jia-shun,FENG Xin,LI Xin,et al.State-of-art of vibration analysis and crack identification of cracked beams[J].Journal of Vibration and Shock,2007,26(11):146-150.(in Chinese)
[6]邹大力,屈福政,孙铁兵.基于混合遗传算法的子结构损伤识别[J].农业机械学报,2005,36(5):121-124.ZOU Da-li,QU Fu-zheng,SUN Tie-bing.Damage detection of a substructure based on hybrid genetic algorithm[J].Trans.of the Chinesse Society of Agricultrual Machinery,2005,36(5):121-124.(in Chinese)
[7]MERUANE V,HEYLEN W.A hybrid real genetic algorithm to detect structural damage using modal properties[J].Mechanical Systems and Signal Processing,2011,25:1559-1573.
[8]NOBAHARI M,SEYEDPOOR S M.Structural damage detection using an efficient correlation-based index and amodified genetic algorithm[J].Mathematical and Computer Modelling,2011,53:1798-1809.
[9]李会湘,刘利升,姜云峰.基于遗传算法梁的损伤识别研究[J].桥隧工程,2011(6):164-166.LI Hui-xiang,LIU Li-sheng,JIANG Yun-feng.Damage detection of beam based on genetic algorithm[J].Bridgeand Tunnel Engineering,2011(6):164-166.(in Chinese)
[10]尹涛,朱宏平,余岭.运用改进的遗传算法进行框架结构损伤检测[J].振动工程学报,2006,19(4):525-531.YIN Tao,ZHU Hong-ping,YU ling.Application study of an improved genetic algorithm for frame structuredamage detection[J].Journal of Vibration Engineering,2006,19(4):525-531.(in Chinese)
[11]史峰,王小川,郁磊,等.MATLAB智能算法30个案例分析[M].北京:北京航空航天大学出版社,2011.
[12]HAN K H,KIM J H.On setting the parameters of quantum-inspired evolutionary algorithm for practical applica-tions[C]//Canberra,Australia:Proc.Congr.Evolutionary Computation,2003.
[13]张宗飞.一种改进型量子遗传算法[J].计算机工程,2006,36(6):181-183.ZHANG Zong-fei.Novel improved quantum genetic algorithm[J].Computer Engineering,2006,36(6):181-183.(in Chinese)
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