@inproceedings{4fbc9de60f784ba380cc0c6eb5fdca1f,
title = "An adaptive step size based algorithm for hybrid model reliability analysis",
abstract = "Focusing on the mixed conditions of both random variables and interval variables, this paper constructs a hybrid reliability analysis algorithm based on adaptive step size. First, the doubleloop optimization model is decoupled into a sequence reliability analysis model of probability analysis and interval analysis. In probability analysis, we use the existing iterative information to determine the adaptive step length parameters and find the most probability point (MPP). In interval analysis, quadratic programming is used to find the optimum point in the interval variable space. Finally, the results of two case studies show that the proposed algorithm have a good calculation accuracy compared with Monte Carlo Sampling (MCS). In particular, the algorithm also has high calculation efficiency and convergence stability when the performance function has a high degree of nonlinear.",
keywords = "Adaptive step size, Hybrid model, Interval, Reliability, Sequentially iterative algorithm",
author = "Tao Qiu and Jianguo Zhang and Juan Wei and Lingfei You",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 2nd International Conference on Algorithms, Computing and Systems, ICACS 2018 ; Conference date: 27-07-2018 Through 29-07-2018",
year = "2018",
month = jul,
day = "27",
doi = "10.1145/3242840.3242864",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "37--41",
booktitle = "Proceedings of 2018 2nd International Conference on Algorithms, Computing and Systems, ICACS 2018",
address = "美国",
}