基于结构动力学特性的高桩码头横向排架传感器优化布置方法*
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金(51508059);宁波市交通运输科技项目(201704);重庆市基础研究与前沿探索项目(cstc2018jcyjAX0345);重庆市教育委员会科学技术研究项目(KJQN 201800739)


Optimal placement of sensors for transverse bent of high-pile wharfs based on structural dynamic characteristics
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为了对高桩码头结构健康监测系统中的传感器布置提供理论指导,提出了一种基于结构动力学特性的传感器优化布置方法。在对高桩码头代表性结构单元横向排架进行结构动力学分析的基础上,运用模态应变能法选择高桩码头横向排架传感器初始测点;建立初始模态矩阵,然后利用模态置信度法和序列法对模态矩阵进行迭代、优化,确定传感器测点布置。建立了单个横向排架的数值仿真模型,利用传感器优化布置方法得到横向排架7根桩基的传感器测点布置结果,并对测点布置进行评估。模态向量间的夹角趋于正交,传感器布置方案有效,证明该传感器优化布置方法适用于高桩码头的传感器优化布置。

    Abstract:

    In order to provide theoretical guidance for the sensor placement in the high-pile wharf health monitoring system,this paper presents an optimal sensor placement method based on structural dynamic characteristics.On the basis of structural dynamics analysis of the transverse bent of representative structural units of piled wharf,the modal strain energy method is used to select the initial measuring points for the piled wharf transverse arrangement;the initial modal matrix is established,then the modal matrix is iterated and optimized by means of modal confidence method and sequence method,thus the sensors locations are obtained.The numerical simulation model of a single transverse bent is established,and the placement results of sensor points of seven pile foundations are obtained by using the optimal placement method of sensors,and the placement of measurement points is evaluated.The angle between the modal vectors tends to be orthogonal,and the sensor placement scheme is effective,which proves that the optimal sensor placement method is suitable for the sensor optimal placement of high pile wharf.

    参考文献
    相似文献
    引证文献
引用本文

吴 俊,曹师宝,石培杨,等.基于结构动力学特性的高桩码头横向排架传感器优化布置方法*[J].水运工程,2020(1):17-22.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2020-01-13
  • 出版日期:
文章二维码