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Random Vibration Analysis Using Quasi-Random Bootstrapping
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
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Reliability analysis of engineering structures such as bridges, airplanes, and cars require calculation of small failure probabilities. These probabilities can be calculated using standard Monte Carlo simulation, but this method is impractical for most real-life systems because of its high computational cost.
Many studies have focused on reducing the computational cost of a reliability assessment. These include bootstrapping, Separable Monte Carlo, Importance Sampling, and the Combined Approximations. The computational cost can also be reduced using an efficient method for deterministic analysis such as the mode superposition, mode acceleration, and the combined acceleration method. This paper presents and demonstrates a method that uses a combination of Sobol quasi-random sequences and bootstrapping to reduce the number of function calls.
The study demonstrates that the use of quasi-random numbers in conjunction bootstrapping reduces dramatically computational cost.
CitationRahman, M. and Nikolaidis, E., "Random Vibration Analysis Using Quasi-Random Bootstrapping," SAE Technical Paper 2018-01-1104, 2018, https://doi.org/10.4271/2018-01-1104.
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