Direct probability integral method (DPIM)
Version 1.1.0 (11 KB) by
Guohai Chen
Direct probability integral method (DPIM) is a unified framework for uncertainty propagation analysis, reliability analysis and design.
Direct probability integral method (DPIM) is a unified framework for uncertainty propagation analysis, reliability analysis and reliability-based optimization design for static or dynamic structural systems, which is based on the probability density integral equations (PDIEs) from the principle of conservation of probability.
DPIM_SDOF.m is for stochastic response analysis of SDOF system using DPIM;
SelectPoint_GF.m is for generating the representative point set (integration points) and calculating assigned probability (integration weight), so as to solve the probability density integral equation (PDIE) based on GF-discrepancy point selection technique.
Main references:
[1] G.H. Chen, D.X. Yang, Direct probability integral method for stochastic response analysis of static and dynamic structural systems, Computer Methods in Applied Mechanics and Engineering, 357 (2019) 112612. DOI:10.1016/j.cma.2019.112612
[2] G.H. Chen, D.X. Yang, A unified analysis framework of static and dynamic structural reliabilities based on direct probability integral method, Mechanical Systems and Signal Processing, 158 (2021) 107783. DOI: 10.1016/j.ymssp.2021.107783
[3] G.H. Chen, D.X. Yang, Y.H. Liu, H.C. Guo. System reliability analysis of static and dynamic structures via direct probability integral method. Computer Methods in Applied Mechanics and Engineering, 388 (2022) 114262. DOI: 10.1016/j.cma.2021.114262
Cite As
Please cite above three main references.
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| Version | Published | Release Notes | |
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| 1.1.0 | Modified some bugs |
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| 1.0.0 |
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