有限元法
梁(结构)
离散化
弯曲
反向
流离失所(心理学)
变形(气象学)
结构工程
反问题
Timoshenko梁理论
结构健康监测
计算机科学
数学
数学分析
几何学
工程类
材料科学
心理治疗师
复合材料
心理学
作者
Runzhou You,Liang Ren,Chaolin Yuan,Gangbing Song
出处
期刊:Journal of Engineering Mechanics-asce
[American Society of Civil Engineers]
日期:2021-02-24
卷期号:147 (5)
被引量:34
标识
DOI:10.1061/(asce)em.1943-7889.0001917
摘要
The real-time estimation of structural deformations using discrete strain data, known as shape sensing, is critical to the health monitoring of structures such as bridges. An innovative methodology called the inverse finite-element method (iFEM) is proposed to solve this issue. In this paper, a novel two-node inverse beam element, iBeam3, is developed for two-dimensional deformation monitoring of beam type structures. The present iFEM formulation is derived based on the least-squares variational principle involving section strains of Euler-Bernoulli beam theory for stretching and bending. The iBeam3 element is able to reconstruct deformed shapes without any prior material and/or loading information because only the strain-displacement relationship is used in the formulation. Static and dynamic validation cases regarding steel beams with different boundary conditions subjected to transverse force are discussed in detail. In the tests, different discretization strategies are used to perform the iFEM analysis, and the effects of sensor positions, number of sensors, and measurement errors are evaluated with respect to iFEM-predicted accuracy. The experimental results demonstrate that the iBeam3 element is accurate, robust, and highly efficient. The present methodology provides promising potential in the real-time shape sensing of civil infrastructures.
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