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一种改进的海洋平台结构损伤诊断方法研究(英文)
引用本文:刘娟,黄维平,石湘.一种改进的海洋平台结构损伤诊断方法研究(英文)[J].船舶与海洋工程学报,2011,10(4):485-489.
作者姓名:刘娟  黄维平  石湘
作者单位:Engineering Institute, Ocean University of China;Construction Engineering Institute, Agricultural University of Qingdao
基金项目:Supported by the National Natural Science Fundation of China (51079136)(51179179)
摘    要:In the exploitation of ocean oil and gas, many offshore structures may be damaged due to the severe environment, so an effective method of diagnosing structural damage is urgently needed to locate the damage and evaluate its severity. Genetic algorithms have become some of the most important global optimization tools and been widely used in many fields in recent years because of their simple operation and strong robustness. Based on the natural frequencies and mode shapes of the structure, the damage diagnosis of a jacket offshore platform is attributed to an optimization problem and studied by using a genetic algorithm. According to the principle that the structural stiffness of a certain direction can be greatly affected only when the brace bar in the corresponding direction is damaged, an improved objective function was proposed in this paper targeting measurement noise and the characteristics of modal identification for offshore platforms. This function can be used as fitness function of a genetic algorithm, and both numerical simulation and physical model test results show that the improved method may locate the structural damage and evaluate the severity of a jacket offshore platform satisfactorily while improving the robustness of evolutionary searching and the reliability of damage diagnosis.

关 键 词:damage  diagnosis  genetic  algorithm  objective  function  mode  shape  error  function

An improved method of structure damage diagnosis for jacket platforms
Juan Liu,Weiping Huang,Xiang Shi.An improved method of structure damage diagnosis for jacket platforms[J].Journal of Marine Science and Application,2011,10(4):485-489.
Authors:Juan Liu  Weiping Huang  Xiang Shi
Institution:1. Engineering Institute, Ocean University of China, Qingdao, 266071, China
2. Construction Engineering Institute, Agricultural University of Qingdao, Qingdao, 266009, China
Abstract:In the exploitation of ocean oil and gas, many offshore structures may be damaged due to the severe environment, so an effective method of diagnosing structural damage is urgently needed to locate the damage and evaluate its severity. Genetic algorithms have become some of the most important global optimization tools and been widely used in many fields in recent years because of their simple operation and strong robustness. Based on the natural frequencies and mode shapes of the structure, the damage diagnosis of a jacket offshore platform is attributed to an optimization problem and studied by using a genetic algorithm. According to the principle that the structural stiffness of a certain direction can be greatly affected only when the brace bar in the corresponding direction is damaged, an improved objective function was proposed in this paper targeting measurement noise and the characteristics of modal identification for offshore platforms. This function can be used as fitness function of a genetic algorithm, and both numerical simulation and physical model test results show that the improved method may locate the structural damage and evaluate the severity of a jacket offshore platform satisfactorily while improving the robustness of evolutionary searching and the reliability of damage diagnosis.
Keywords:
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