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Reliability analysis of the research and application of new methods
Author: YangZiZheng
Tutor: LvZhenZhou
School: Northwestern Polytechnical University
Course: Machine and Environmental Engineering
Keywords: Reliability Analysis Response Surface Methodology Neural Networks Kriging Composites The most likely failure point APDL
CLC: O213.2
Type: Master's thesis
Year: 2006
Downloads: 854
Quote: 2
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Abstract
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For a high degree of common engineering nonlinear implicit limit state equation , the classic response surface method due to the inherent shortcomings of unable to quickly get sufficiently accurate results . To this end , this paper studies the reliability analysis method based on neural network technology and Kriging technology , and made the appropriate improvements to the new method , Finally, these methods are applied to the reliability analysis of the composite material . The first chapter is a literature review and research background . Briefly describes the structural reliability analysis methods , and a review of the basic idea of the fast probability integration method , Monte Carlo method and response surface method . Then traces the development of neural network technology , the description so that it can be used for structural reliability analysis of comparative advantage . Summarize the subsequent composite reliability Research , pointed out that the neural network and other technology for composite reliability analysis becoming one of the research direction worth mining . Finally, the main contents of this article . Chapter II of the implicit limit state equation in the reliability analysis of most of the projects , the establishment of a reliability analysis method based on the neural network of the sample screening program , and made a reliable neural network based on the weighted linear response surface analysis method. Compared with existing neural network reliability analysis methods to improve the accuracy of the reliability analysis . Chapter III introduces a flexible and adaptive response function in the form of Kriging based structural reliability analysis method based on the technology , based on the sampling strategy proposed in the previous chapter , the Kriging - based structure reliability analysis methods and examples demonstrate the feasibility and rationality . Chapter structure standard finite element program to find the most likely point of failure in structural reliability analysis method was validated and used in engineering reliability analysis . Chapter of the second and third chapters of the reliability analysis methods applied to the reliability of the composite laminate structure is divided into preparation of a neural network and connected with the finite element software Kriging composite laminate structure reliability analysis procedures for composite structure reliability analysis provides a new analysis method .
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CLC: > Mathematical sciences and chemical > Mathematics > Probability Theory and Mathematical Statistics > Application of statistical mathematics > Reliability theory
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