Multiple damage localization of gravity dam: Strain energy based approach using random data. Bagchi, S., Roy, T., & Bagchi, A. In volume 2019-June, Laval, QC, Canada, 2019. Continuous monitoring;Damaged structures;Displacement modes;Energy based approach;Health monitoring system;Real-time vibration data;Strain energy mode shapes;White Gaussian Noise;
abstract   bibtex   
Continuous monitoring of large-concrete structures like Dam, using information obtained using the health monitoring system, is necessary for the prognosis of its premature degradation. In this study, Koyna dam, is modeled in 2D using ABAQUS software. Material properties of the dam material are assumed to be linear and elastic. The model is first validated against the available results for Koyna Dam. As real-time vibration data is sparse for the structures like Dam due to its size and location, White Gaussian Noise is used for generating the simulated ambient response. Damage is incorporated in the numerical model introducing suitable change in the modulus of elasticity of the elements at some specific locations. The dynamic properties of both the pristine as well as the damaged structures, including the natural frequency, Displacement Mode Shape (DMS), Curvature Mode Shape (CMS) and Strain Energy Mode Shape (SEMS) are compared to identify the appropriate parameter that can identify the damage up to the tire of quantification. Studying the modal responses of the numerical model of the gravity dam it is inferred that the neither natural frequency nor DMS or CMS are capable of identifying the region of the stiffness change with acceptable accuracy. While on the other hand, 1st eigen mode shows that SEMS can identify the damaged location with sufficient accuracy. Therefore, in this study Strain Energy based damage index is used for quantifying the damage.
� 2019 Canadian Society for Civil Engineering. All rights reserved.
@inproceedings{20201008263743 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.},
copyright = {Compendex},
title = {Multiple damage localization of gravity dam: Strain energy based approach using random data},
journal = {Proceedings, Annual Conference - Canadian Society for Civil Engineering},
author = {Bagchi, S. and Roy, T.B. and Bagchi, A.},
volume = {2019-June},
year = {2019},
address = {Laval, QC, Canada},
abstract = {Continuous monitoring of large-concrete structures like Dam, using information obtained using the health monitoring system, is necessary for the prognosis of its premature degradation. In this study, Koyna dam, is modeled in 2D using ABAQUS software. Material properties of the dam material are assumed to be linear and elastic. The model is first validated against the available results for Koyna Dam. As real-time vibration data is sparse for the structures like Dam due to its size and location, White Gaussian Noise is used for generating the simulated ambient response. Damage is incorporated in the numerical model introducing suitable change in the modulus of elasticity of the elements at some specific locations. The dynamic properties of both the pristine as well as the damaged structures, including the natural frequency, Displacement Mode Shape (DMS), Curvature Mode Shape (CMS) and Strain Energy Mode Shape (SEMS) are compared to identify the appropriate parameter that can identify the damage up to the tire of quantification. Studying the modal responses of the numerical model of the gravity dam it is inferred that the neither natural frequency nor DMS or CMS are capable of identifying the region of the stiffness change with acceptable accuracy. While on the other hand, 1<sup>st</sup> eigen mode shows that SEMS can identify the damaged location with sufficient accuracy. Therefore, in this study Strain Energy based damage index is used for quantifying the damage.<br/> &#65533; 2019 Canadian Society for Civil Engineering. All rights reserved.},
key = {Numerical models},
keywords = {Information use;Structural health monitoring;Gaussian noise (electronic);Location;Natural frequencies;ABAQUS;Gravity dams;Strain energy;Damage detection;},
note = {Continuous monitoring;Damaged structures;Displacement modes;Energy based approach;Health monitoring system;Real-time vibration data;Strain energy mode shapes;White Gaussian Noise;},
}

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