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 …

Probabilistic methods for unified treatment of geotechnical and geological uncertainties in a geotechnical analysis

CH Juang, J Zhang, M Shen, J Hu - Engineering geology, 2019 - Elsevier
There are typically three types of models involved in a geotechnical analysis, ie, the
geologic model, the ground model, and the geotechnical model, each of which may be …

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 …

Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects

MS Islam, MP Nepal, M Skitmore… - Advanced Engineering …, 2017 - Elsevier
Fuzzy and hybrid methods have been increasingly used in construction risk management
research and this study aims to compile and analyse the basic concepts and methods …

Risk-based optimal inspection strategies for structural systems using dynamic Bayesian networks

J Luque, D Straub - Structural Safety, 2019 - Elsevier
In most structural systems, it is neither possible nor optimal to inspect all system components
regularly. An optimal inspection-repair strategy controls deterioration in structural systems …

Value of information analysis with structural reliability methods

D Straub - Structural Safety, 2014 - Elsevier
When designing monitoring systems and planning inspections, engineers must assess the
benefits of the additional information that can be obtained and weigh them against the cost …

Bayesian post-processing of Monte Carlo simulation in reliability analysis

W Betz, I Papaioannou, D Straub - Reliability Engineering & System Safety, 2022 - Elsevier
In reliability analysis with Monte Carlo simulation, the uncertainty about the probability of
failure can be formally quantified through Bayesian statistics. Credible intervals for the …

Maintenance and operation of infrastructure systems

M Sánchez-Silva, DM Frangopol, J Padgett… - Journal of Structural …, 2016 - ascelibrary.org
Infrastructure management plays an important role in sustainable development and is
essential for the evaluation of the socioeconomic feasibility of existing projects and the …

Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes

PG Morato, KG Papakonstantinou, CP Andriotis… - Structural Safety, 2022 - Elsevier
Civil and maritime engineering systems, among others, from bridges to offshore platforms
and wind turbines, must be efficiently managed, as they are exposed to deterioration …

Bayesian identification of soil stratigraphy based on soil behaviour type index

ZJ Cao, S Zheng, DQ Li… - Canadian Geotechnical …, 2019 - cdnsciencepub.com
The cone penetration test (CPT) has been widely used to determine the soil stratigraphy
(including the number N and thicknesses HN of soil layers) during geotechnical site …