@inproceedings{20201008263743 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2025 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},
pages = {Design Engineering Division and Computers and Information in Engineering Division - },
address = {Laval, QC, Canada},
abstract = {<div data-language="eng" data-ev-field="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/></div> � 2019 Canadian Society for Civil Engineering. All rights reserved.},
key = {Numerical models},
%keywords = {ABAQUS;Damage detection;Gaussian noise (electronic);Gravity dams;Information use;Location;Natural frequencies;Strain energy;Structural health monitoring;},
%note = {ABAQUS software;Continuous monitoring;Damage localization;Displacement modes;Energy based approach;Health monitoring system;Mode shapes;Multiple damages;Random data;Strain energy mode shapes;},
}

{"_id":"xDXFxsRX5HzqmXN7M","bibbaseid":"bagchi-roy-bagchi-multipledamagelocalizationofgravitydamstrainenergybasedapproachusingrandomdata-2019","author_short":["Bagchi, S.","Roy, T.","Bagchi, A."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","language":"English","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":[{"propositions":[],"lastnames":["Bagchi"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Roy"],"firstnames":["T.B."],"suffixes":[]},{"propositions":[],"lastnames":["Bagchi"],"firstnames":["A."],"suffixes":[]}],"volume":"2019-June","year":"2019","pages":"Design Engineering Division and Computers and Information in Engineering Division - ","address":"Laval, QC, Canada","abstract":"<div data-language=\"eng\" data-ev-field=\"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^st 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/></div> � 2019 Canadian Society for Civil Engineering. All rights reserved.","key":"20201008263743","bibtex":"@inproceedings{20201008263743 ,\nlanguage = {English},\ncopyright = {Compilation and indexing terms, Copyright 2025 Elsevier Inc.},\ncopyright = {Compendex},\ntitle = {Multiple damage localization of gravity dam: Strain energy based approach using random data},\njournal = {Proceedings, Annual Conference - Canadian Society for Civil Engineering},\nauthor = {Bagchi, S. and Roy, T.B. and Bagchi, A.},\nvolume = {2019-June},\nyear = {2019},\npages = {Design Engineering Division and Computers and Information in Engineering Division - },\naddress = {Laval, QC, Canada},\nabstract = {<div data-language=\"eng\" data-ev-field=\"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^st 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/></div> � 2019 Canadian Society for Civil Engineering. All rights reserved.},\nkey = {Numerical models},\n%keywords = {ABAQUS;Damage detection;Gaussian noise (electronic);Gravity dams;Information use;Location;Natural frequencies;Strain energy;Structural health monitoring;},\n%note = {ABAQUS software;Continuous monitoring;Damage localization;Displacement modes;Energy based approach;Health monitoring system;Mode shapes;Multiple damages;Random data;Strain energy mode shapes;},\n} \n\n\n","author_short":["Bagchi, S.","Roy, T.","Bagchi, A."],"id":"20201008263743","bibbaseid":"bagchi-roy-bagchi-multipledamagelocalizationofgravitydamstrainenergybasedapproachusingrandomdata-2019","role":"author","urls":{},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://bibbase.org/network/files/vr93P5xh9GQ9oiwqW","dataSources":["t3LjCpZw6L2kk69Qf","6Aw5QAtT2yLJ3d2JP","qBPxBjrzghRQ4Wzbf","EnwwBMFxopKkypo2f","8uWbXNBCDiEboMj8h","kxo3ipwEmaMeCrkMp","eY47YrWmhe3yDpwLG","i6ubY7NPky4suh856","svEcTSnbqnioEMadv","bsavQQhdeQCjQYBnW","crgetHAdhXyFEJo52"],"keywords":[],"search_terms":["multiple","damage","localization","gravity","dam","strain","energy","based","approach","using","random","data","bagchi","roy","bagchi"],"title":"Multiple damage localization of gravity dam: Strain energy based approach using random data","year":2019}