Machine learning-based methods in structural reliability analysis: A review
Structural Reliability analysis (SRA) is one of the prominent fields in civil and mechanical
engineering. However, an accurate SRA in most cases deals with complex and costly …
engineering. However, an accurate SRA in most cases deals with complex and costly …
Modeling and analysis of internal corrosion induced failure of oil and gas pipelines
Internal corrosion is a complex phenomenon that includes under-deposit corrosion (UDC),
microbially influenced corrosion (MIC), erosion, and localized and uniform corrosion …
microbially influenced corrosion (MIC), erosion, and localized and uniform corrosion …
Accident investigation and lessons not learned: AcciMap analysis of successive tailings dam collapses in Brazil
Tailings dam collapses, though rare, have significant human, economic and environmental
impacts. In this study, we analyze two tailings dam collapses in Mariana and Brumadinho …
impacts. In this study, we analyze two tailings dam collapses in Mariana and Brumadinho …
Bayesian framework for reliability prediction of subsea processing systems accounting for influencing factors uncertainty
A Bayesian network probabilistic framework is suggested for reliability prediction of two
conceptual subsea processing systems. A suitable reliability prediction method for …
conceptual subsea processing systems. A suitable reliability prediction method for …
A review of time-dependent reliability analyses of slopes: Research progress, influencing factors, and future research directions
M Xiong, Y Huang - Transportation Geotechnics, 2022 - Elsevier
The reliability analysis and evaluation of slope has made great progress recently. It
gradually extends from a time invariant random system to a time-varying random system …
gradually extends from a time invariant random system to a time-varying random system …
Concrete gravity dams model parameters updating using static measurements
The structural control of concrete gravity dams is of primary importance. In this context,
numerical models play a fundamental role both to assess the vulnerability of gravity dams …
numerical models play a fundamental role both to assess the vulnerability of gravity dams …
Probabilistic demand models and performance-based fragility estimates for concrete protective structures subjected to missile impact
The manifold missile attacks upon structures and deficiency of codal provisions motivated
the current study to develop probabilistic demand models for protective structures subjected …
the current study to develop probabilistic demand models for protective structures subjected …
Introducing a probabilistic framework to measure dam overtopping risk for dams benefiting from dual spillways
V Rajabzadeh, AA Hekmatzadeh, PT Shourijeh… - Reliability Engineering & …, 2023 - Elsevier
Assessing the overtopping risk has become a necessity in face of ever-changing, extreme
weather conditions. This study proposed a novel probabilistic framework to evaluate the …
weather conditions. This study proposed a novel probabilistic framework to evaluate the …
Analysis of seepage failure probability for high core rockfill dams during rapid drawdown of reservoir water level
Z Wu, C Chen, Y Zheng, J Chen, K Bian, J Li - Journal of Hydrology, 2024 - Elsevier
Rapid drawdown (RDD) is an abnormal reservoir flood control operation that may cause
seepage failure of high core rockfill dams. In this paper, a novel framework combining …
seepage failure of high core rockfill dams. In this paper, a novel framework combining …
Probabilistic demand models and reliability based code calibration for reinforced concrete column and beam subjected to blast loading
Performance-based probabilistic demand models for reinforced concrete (RC) columns and
beams have been estimated due to ongoing blast loading attacks on structures and …
beams have been estimated due to ongoing blast loading attacks on structures and …