Journal
INTERNATIONAL JOURNAL OF MECHANICS AND MATERIALS IN DESIGN
Volume 13, Issue 2, Pages 173-193Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s10999-015-9324-z
Keywords
Time-variant reliability; System reliability; Stochastic process; Time discretization; FORM
Funding
- National Science Foundation of China [11172096]
- National Science Foundation for Excellent Young Scholars [51222502]
- State Key Laboratory of Construction Machinery [SKLCM2014-1]
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In this paper, we propose a new method for analyzing time-variant system reliability based on stochastic process discretization, which provides an effective tool for reliability design of many relatively complex structures considering the whole lifecycle. Within a design lifetime, the stochastic process is discretized into a series of random variables, and meanwhile, we can derive a time-invariant limit-state function in each time interval; the discretized random variables from the stochastic processes and the original random variables are transformed to the independent normal space, and a conventional time-invariant system reliability problem is derived through the linearization to each discretized limit-state functions; by solving this time-invariant system reliability problem, we can obtain the structural reliability or failure probability within the design lifetime. Finally, in this paper, we provide four numerical examples to verify the effectiveness of the method.
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