@inproceedings{6cb4350e4aa941809e2c046b76fb10d0,
title = "Line sampling for assessing structural reliability with imprecise failure probabilities",
abstract = "In this paper, a novel implementation of the Line Sampling method for computing imprecise probabilities is presented. The model of uncertainty is generalised to include both aleatory and epistemic uncertainties which comprise gaps of knowledge and scarcity of data. The proposed generalised uncertainty model allows for sets of probability distribution functions - also known as credal sets - and sets of bounded variables. The proposed implementation, based on the Adaptive Line Sampling algorithm, not only makes the computation of single probabilities a lot faster but, most importantly, eases the search for lower and upper bounds of the failure probability.",
keywords = "reliability analysis, optimization RBDO, reliability, uncertainty analysis, distribution functions, probability distributions",
author = "{De Angelis}, M. and E. Patelli and M. Beer",
year = "2014",
month = jul,
day = "7",
doi = "10.1061/9780784413609.093",
language = "English",
series = "Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "915--924",
editor = "Hall, {Jim W.} and Siu-Kui Au and Michael Beer",
booktitle = "Vulnerability, Uncertainty, and Risk",
address = "United States",
note = "2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 ; Conference date: 13-07-2014 Through 16-07-2014",
}