has been cited by the following article(s):
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[1]
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System reliability of a gravity dam-foundation system using Bayesian networks
Reliability Engineering & System Safety,
2022
DOI:10.1016/j.ress.2021.108178
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[2]
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Performance of a Hybrid Neural Network Reduced Flexibility Index Method for Localization and Severity Detection of Damages in a Gravity Dam
Practice Periodical on Structural Design and Construction,
2022
DOI:10.1061/(ASCE)SC.1943-5576.0000642
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[3]
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System reliability of a gravity dam-foundation system using Bayesian networks
Reliability Engineering & System Safety,
2022
DOI:10.1016/j.ress.2021.108178
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[4]
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Comparison of homogenous and random fields of tensile strength effects on the nonlinear dynamical response of Guandi concrete gravity dams under strong earthquake waves
Structure and Infrastructure Engineering,
2021
DOI:10.1080/15732479.2020.1832534
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[5]
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Effect of the spatial variability of strength parameters on the dynamic damage characteristics of gravity dams
Engineering Structures,
2019
DOI:10.1016/j.engstruct.2019.01.042
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[6]
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Support vector machine based reliability analysis of concrete dams
Soil Dynamics and Earthquake Engineering,
2018
DOI:10.1016/j.soildyn.2017.09.016
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[7]
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Risk, Reliability, Resilience (R3) and Beyond in Dam Engineering: A State-of-the-Art Review
International Journal of Disaster Risk Reduction,
2018
DOI:10.1016/j.ijdrr.2018.07.024
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