基于柔度灵敏度的弧形闸门损伤识别研究

张宇驰,黄恢宏

raybet体育在线 院报 ›› 2016, Vol. 33 ›› Issue (12) : 37-41.

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raybet体育在线 院报 ›› 2016, Vol. 33 ›› Issue (12) : 37-41. DOI: 10.11988/ckyyb.20160197
工程安全与灾害防治

基于柔度灵敏度的弧形闸门损伤识别研究

  • 张宇驰1,2,3,黄恢宏4
作者信息 +

Damage Identification forRadial Gate Based on Sensitivity Analysis of Structural Flexibility

  • ZHANG Yu-chi1,2,3,HUANG Hui-hong4
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文章历史 +

摘要

基于柔度灵敏度的结构损伤识别理论,针对柔度灵敏度法在实际工程振动测试中结构柔度矩阵和单元刚度矩阵难以准确获得的问题,提出了一种新的改进算法,优化和减少输入量,以满足其在实际工程应用中的需要。该算法通过提取结构前几阶低阶模态,计算结构柔度矩阵;依次假定各单元发生损伤,构建结构损伤前后柔度改变量矩阵,实现结构损伤的准确识别。以水工弧形闸门为例,开展柔度灵敏度的损伤识别方法研究,数值模拟结果表明:该方法能够较为准确地定位损伤单元,避免对称单元误判的产生,为水工结构实际工程的损伤识别提供了重要的理论依据。

Abstract

Structural flexibility matrix and element’s stiffness matrix are difficult be obtained accurately by sensitivity analysis of structural flexibility in practical vibration test.To solve this problem, an improved method which optimizes and reduces input data to meet the requirements of practical application is proposed. The first several low modals are collected and the structural flexibility matrix is calculated, and then the elements are assumed successively to be damaged and the matrix of flexibility variation before and after structural damage is built. The method is applied to the damage identification for a hydraulic radial gate, and the numerical simulation results prove that the proposed method could locate the damaged element accurately and avoid the misjudgment of symmetric unit. The research provides theoretical basis for the damage identification of hydraulic structures.

关键词

弧形闸门 / 柔度灵敏度 / 损伤识别 / 模态参数 / 柔度矩阵

Key words

radial gate / flexibility sensitivity / damage identification / modal parameter / flexibility matrix

引用本文

导出引用
张宇驰,黄恢宏. 基于柔度灵敏度的弧形闸门损伤识别研究[J]. raybet体育在线 院报. 2016, 33(12): 37-41 https://doi.org/10.11988/ckyyb.20160197
ZHANG Yu-chi,HUANG Hui-hong. Damage Identification forRadial Gate Based on Sensitivity Analysis of Structural Flexibility[J]. Journal of Changjiang River Scientific Research Institute. 2016, 33(12): 37-41 https://doi.org/10.11988/ckyyb.20160197
中图分类号: TV663.2   

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基金

国家自然科学基金项目(51469015)

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