| 基于遗传算法的大型钢塔结构的节点损伤参数识别方法 |
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| 引用本文： | 郭佳凡,于吉全. 基于遗传算法的大型钢塔结构的节点损伤参数识别方法[J]. 湖北大学学报(自然科学版), 2009, 31(4): 379-383 |
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| 作者姓名： | 郭佳凡 于吉全 |
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| 作者单位： | 军事经济学院,军队审计系,湖北,武汉,430035;中国矿业大学建筑工程学院,江苏,徐州,221008 |
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| 摘 要： | 针对高耸钢塔架结构的损伤特点,在建立具有节点损伤的有限元模型的基础上,提出一种基于遗传算法的参数识别方法,运用遗传算法理论对节点的损伤位置和程度进行诊断．通过对一实际大跨越塔结构的数值仿真分析,表明提出的损伤诊断方法的结果是令人满意的,具有实际应用价值．
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| 关 键 词： | 应变模态 遗传算法 损伤诊断 输电线塔 |
Recognition approach of joint damage parameters in high-rising tower structures on the basis of genetic algorithms |
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| GUO Jia-fan,YU Ji-quan. Recognition approach of joint damage parameters in high-rising tower structures on the basis of genetic algorithms[J]. Journal of Hubei University(Natural Science Edition), 2009, 31(4): 379-383 |
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| Authors: | GUO Jia-fan YU Ji-quan |
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| Affiliation: | 1.Department of Military Audit;Military Economics Academy;Wuhan 430035;China;2.School of Architecture Engineering;China University of Mine Technology;Xuzhou 221008;China |
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| Abstract: | Established the finite element model of joint-damaged structure based on the damaging characteristic of high-rising steel tower structure.Parameters identification approach of improved genetic algorithms(IGAs) presented,and the structural damaging detection and determined damaging extent were performed by IGAs.The numerical example of high-rising steel tower was utilized to demonstrate the effectiveness of the proposed approach. |
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| Keywords: | strain mode genetic algorithms damage detection tower structure |
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