An Improved Method of Structure Damage Diagnosis for Jacket Platforms
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...
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Published in | Journal of marine science and application Vol. 10; no. 4; pp. 485 - 489 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Harbin Engineering University
01.12.2011
Engineering Institute, Ocean University of China, Qingdao 266071, China Construction Engineering Institute, Agricultural University of Qingdao, Qingdao 266009,China%Engineering Institute, Ocean University of China, Qingdao 266071, China |
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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. |
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AbstractList | 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. P75; 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. |
Author | Juan Liu Weiping Huang Xiang Shi |
AuthorAffiliation | Engineering Institute, Ocean University of China, Qingdao 266071, China Construction Engineering Institute, Agricultural University of Qingdao, Qingdao 266009, China |
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Keywords | genetic algorithm damage diagnosis mode shape error function objective function |
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Notes | 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. damage diagnosis; genetic algorithm; objective function; mode shape error function 23-1505/T |
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PublicationTitle | Journal of marine science and application |
PublicationTitleAbbrev | J. Marine. Sci. Appl |
PublicationTitleAlternate | Journal of Marine Science and Application |
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PublicationYear | 2011 |
Publisher | Harbin Engineering University Engineering Institute, Ocean University of China, Qingdao 266071, China Construction Engineering Institute, Agricultural University of Qingdao, Qingdao 266009,China%Engineering Institute, Ocean University of China, Qingdao 266071, China |
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References | HollandJ.H.Adaptation in natural and artificial systems1975Ann Arbor, MIUniv. of Michigan Press HeF.YeL.Y.Review of vibration-based structural damage identification approachesEarthquake Resistant Engineering and Retrofitting2005273236 HuangW.P.WangX.Y.Structural damage diagnosis based on improved chc algorithmJournal of Vibration, Measurement & Diagnosis2007273232235 HuangW.P.WangX.Y.TangS.Z.Damage diagnosis of offshore structures based on responses of a part of nodesEngineering Mechanics2008255218221 YiW.J.LiuX.Damage diagnosis of structures by genetic algorithmEngineering Mechanics20011826470 WangX.P.CaoL.M.Genetic algorithms-Theory, applications and software2002Xi’anXi’an Jiaotong University Press GuoJ.F.YuJ.Q.Recognition approach of joint damage parameters in high-rising tower structures on the basis of genetic algorithmsJournal of Hubei University (Natural Science Edition)2009314379383 ZhangD.W.WeiF.X.Model modification and damage diagnosis1999BeijingScience Press Duan XP, Zhu HP (2001). Detection of structure damage parameter based on genetic algorithm. Engineering Mechanics, (Supplement), 422–426. F. He (1095_CR3) 2005; 27 D.W. Zhang (1095_CR9) 1999 X.P. Wang (1095_CR7) 2002 W.J. Yi (1095_CR8) 2001; 18 W.P. Huang (1095_CR4) 2007; 27 1095_CR1 J.F. Guo (1095_CR2) 2009; 31 W.P. Huang (1095_CR5) 2008; 25 J.H. Holland (1095_CR6) 1975 |
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SubjectTerms | Electrical Machines and Networks Engineering Geotechnical Engineering & Applied Earth Sciences Machinery and Machine Elements Offshore Engineering Power Electronics Research Papers 夹克 损伤诊断 海上平台 海洋石油 物理模型试验 结构损伤 诊断方法 遗传算法 |
Title | An Improved Method of Structure Damage Diagnosis for Jacket Platforms |
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