Damage detection in bridges using accurate modal parameters-Reference-Cited by-同舟云学术

Damage detection in bridges using accurate modal parameters

Published:2004-01 Issue:3 Volume:40 Page:287-304
ISSN:0168-874X
Container-title:Finite Elements in Analysis and Design
language:en
Short-container-title:Finite Elements in Analysis and Design

Author:

Dutta Anjan,Talukdar S

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Graphics and Computer-Aided Design,General Engineering,Analysis

Reference20 articles.

1. A vibration technique for non-destructively assessing the integrity of structures;Adams;J. Mech. Eng. Sci.,1978

2. The location of defects in structures from measurements of natural frequency;Cawley;J. Strain Anal.,1979

3. A numerical study of the eigenparameters of a damaged cantilever;Yuen;J. Sound Vib.,1985

4. Simple static and dynamic models for the cracked elastic beam;Petroski;Int. J. Fracture,1983

5. C. Williams, O.S. Salawu, Concepts of condition assessment of bridges using vibration testing and analysis, in: B.I.G. Barr et al. (Eds.), Bridge Assessment Monitoring and Design, London, Elsevier Science, 1994.

Cited by 77 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data;Structural Health Monitoring;2024-03-26

2. A 2D-CNN-Based Two-Stage Structural Damage Localization and Quantification Technique Using Time Domain Vibration Data;International Journal of Structural Stability and Dynamics;2023-12-20

3. A two-stage method to detect damages in aluminum plates using curvature modal shape subtraction indicator and particle swarm optimization;Thin-Walled Structures;2023-04

4. A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study;Structural Health Monitoring;2023-01-12

5. Structural damage detection based on convolutional neural networks and population of bridges;Measurement;2022-10