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Damage Identification in Beam-Type Structures Using Pseudo Strain Energy Density and Grey Relation Coefficient
  • ISSN号:1006-4982
  • 期刊名称:《天津大学学报:英文版》
  • 时间:0
  • 分类:O441.4[理学—电磁学;理学—物理] TP393.4[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China, [2]Hubei Key Laboratory of Control Structure, Huazhong University of Science and Technology, Wuhan 430074, China)
  • 相关基金:Supported by National Natural Science Foundation of China (No. 50778077 and No. 50608036).
中文摘要:

基于假紧张精力密度(PSED ) 和灰关系系数(GRC ) ,一个索引被建议在时间域定位横梁类型结构的损坏。基因算法(GA ) 被利用识别证实的损坏地点的结构的损坏严厉。而且,一个系统的损坏鉴定节目在 MATLAB 站台上基于 GA 被开发。ANSYS 被采用进行复杂土木工程结构的有限元素分析,它与接口技术被嵌入。二拍子的圆舞损坏鉴定被高速公路桥牌和一根实验室横梁基于 polyvinylidens 氟化物(PVDF ) 建模的 Xinxingtang 的一个有限元素模型验证。桥模型与 57 个 girder 片断被构造,并且与 58 个测量点模仿了。损坏片断被 GRC 索引不管损坏程度和噪音层次精确地定位。与是的检测片断的僵硬减小因素变量, GA 程序在 6 h 为 150 代演变并且与 1% 和 3% 的最大的错误识别了损坏程度相应于到 0 和 5% 的信号比率的噪音分别地。相反,没有使用 GRC 索引的普通基于 GA 的方法在 24 h 为 600 代演变,但是没能获得令人满意的结果。在实验室测试, PVDF 补丁被用作动态紧张传感器,并且损坏地点由于事实被识别点的 GRC 索引接近损坏元素当时,比 0.6 小那些其它比 0.6 大。基于 GA 的损坏 quantification 与在横梁模型的裂缝深度的价值也一致。

英文摘要:

Based on pseudo strain energy density (PSED) and grey relation coefficient (GRC), an index is proposed to locate the damage of beam-type structures in time-domain. The genetic algorithm (GA) is utilized to identify the structural damage severity of confirmed damaged locations. Furthermore, a systematic damage identification program based on GA is developed on MATLAB platform. ANSYS is employed to conduct the finite element analysis of com- plicated civil engineering structures, which is embedded with interface technique. The two-step damage identification is verified by a finite element model of Xinxingtang Highway Bridge and a laboratory beam model based on polyvi- nylidens fluoride (PVDF). The bridge model was constructed with 57 girder segments, and simulated with 58 meas- urement points. The damaged segments were located accurately by GRC index regardless of damage extents and noise levels. With stiffness reduction factors of detected segments as variables, the GA program evolved for 150 generations in 6 h and identified the damage extent with the maximum errors of 1% and 3% corresponding to the noise to signal ratios of 0 and 5%, respectively. In contrast, the common GA-based method without using GRC index evolved for 600 generations in 24 h, but failed to obtain satisfactory results. In the laboratory test, PVDF patches were used as dynamic strain sensors, and the damage locations were identified due to the fact that GRC indexes of points near damaged ele- ments were smaller than 0.6 while those of others were larger than 0.6. The GA-based damage quantification was also consistent with the value of crack depth in the beam model.

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期刊信息
  • 《天津大学学报:英文版》
  • 主管单位:中华人民共和国教育部
  • 主办单位:天津大学
  • 主编:龚克
  • 地址:天津市南开区卫津路92号天津大学第19教学桉东配楼
  • 邮编:300072
  • 邮箱:trans@tju.edu.cn
  • 电话:022-27400281
  • 国际标准刊号:ISSN:1006-4982
  • 国内统一刊号:ISSN:12-1248/T
  • 邮发代号:6-128
  • 获奖情况:
  • 天津市一级期刊,被国内外十余家检索机构收录
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,英国英国皇家化学学会文摘
  • 被引量:153