Machine learning-based methods in structural reliability analysis: A review

SS Afshari, F Enayatollahi, X Xu, X Liang - Reliability Engineering & System …, 2022 - Elsevier
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 …

Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review

S Kabir, Y Papadopoulos - Safety science, 2019 - Elsevier
Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …

Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network

S Fan, E Blanco-Davis, Z Yang, J Zhang… - Reliability Engineering & …, 2020 - Elsevier
A data-driven Bayesian network (BN) is used to investigate the effect of human factors on
maritime safety through maritime accident analysis. Its novelties consist of (1) manual …

Application of Bayesian networks in reliability evaluation

B Cai, X Kong, Y Liu, J Lin, X Yuan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation
and inference and is increasingly used in the field of reliability evaluation. This paper …

Evaluation of the risk of pollution caused by ship operations through bow-tie-based fuzzy Bayesian network

O Bayazit, M Kaptan - Journal of Cleaner Production, 2023 - Elsevier
Ocean and marine environments face the adverse effects of climate change and
environmental pollution. Maritime transportation, one of the most severe marine pollution …

Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach

M Aydin, E Akyuz, O Turan, O Arslan - Ocean Engineering, 2021 - Elsevier
Risk analysis is regarded as one of the most critical research topics in maritime industry due
to the nature of work. Validation of risk analysis is a significant challenge for safety …

Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches

N Khakzad, F Khan, P Amyotte - Reliability Engineering & System Safety, 2011 - Elsevier
Safety analysis in gas process facilities is necessary to prevent unwanted events that may
cause catastrophic accidents. Accident scenario analysis with probability updating is the key …

Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas

P Weber, G Medina-Oliva, C Simon, B Iung - Engineering Applications of …, 2012 - Elsevier
In this paper, a bibliographical review over the last decade is presented on the application of
Bayesian networks to dependability, risk analysis and maintenance. It is shown an …

[图书][B] Bayesian methods for structural dynamics and civil engineering

KV Yuen - 2010 - books.google.com
Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …

Bayesian updating with structural reliability methods

D Straub, I Papaioannou - Journal of Engineering Mechanics, 2015 - ascelibrary.org
Bayesian updating is a powerful method to learn and calibrate models with data and
observations. Because of the difficulties involved in computing the high-dimensional …