A System Identification-Based Damage-Detection Method for Gravity Dams

11Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Dams are essential infrastructures as they provide a range of economic, environmental, and social benefits to the local populations. Damage in the body of these structures may lead to an irreparable disaster. This paper presents a cost-effective vibration-based framework to identify the dynamic properties and damage of the dams. To this end, four commonly occurred damage scenarios, including (1) damage in the neck of the dam, (2) damage in the toe of the structure, (3) simultaneous damage in the neck and the toe of the dam, and (4) damage in the lifting joints of the dam, are considered. The proposed method is based on processing the acceleration response of a gravity dam under ambient excitations. First, the random decrement technique (RDT) is applied to determine the free-vibration of the structure using the structural response. Then, a combined method based on Hilbert-Huang Transform (HHT) and Wavelet Transform (WT) is presented to obtain the dynamic properties of the structure. Next, the cubic-spline technique is used to make the mode shapes differentiable. Finally, Continuous Wavelet Transform (CWT) is applied to the residual values of mode shape curvatures between intact and damaged structures to estimate the damage location. In order to evaluate the efficiency of the proposed method in field condition, 10% noise is added to the structural response. Results show promising accuracy in estimating the location of damage even when the structure is subjected to simultaneous damage in different locations.

References Powered by Scopus

Wave propagation and sampling theory - Part I. Complex signal and scattering in multilayered media.

1146Citations
N/AReaders
Get full text

Review paper: Health monitoring of civil infrastructure

933Citations
N/AReaders
Get full text

Structural health monitoring of civil infrastructure

847Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A decision-tree-based algorithm for identifying the extent of structural damage in braced-frame buildings

25Citations
N/AReaders
Get full text

A rapid machine learning-based damage detection algorithm for identifying the extent of damage in concrete shear-wall buildings

22Citations
N/AReaders
Get full text

Damage detection in power transmission towers using machine learning algorithms

12Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Mirtaheri, M., Salkhordeh, M., & Mohammadgholiha, M. (2021). A System Identification-Based Damage-Detection Method for Gravity Dams. Shock and Vibration, 2021. https://doi.org/10.1155/2021/6653254

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 7

88%

Lecturer / Post doc 1

13%

Readers' Discipline

Tooltip

Engineering 6

75%

Medicine and Dentistry 2

25%

Save time finding and organizing research with Mendeley

Sign up for free