Monte Carlo simulation and evaluation of burst strength of pressure vessels
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Georg W. Mair
Abstract
The Monte Carlo method enables the statistical simulation of the mechanical properties of groups taken from a given population. In the case of composite pressure vessels used for hydrogen storage, properties like burst strength or fatigue cycle strength are of interest. This paper provides comprehensive information on how populations are generated and how samples can be taken and evaluated; it also explains how to determine the acceptance rate of random samples from simulated populations for passing the approval test “minimum burst pressure”. A word of caution is also expressed regarding the evaluation of acceptance rates from a small sample.
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© 2019, Carl Hanser Verlag, München
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Articles in the same Issue
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- Mechanical properties of cryogenically treated AA5083 friction stir welds
- Fatigue life evaluation of composite wing spar cap materials
- Effect of Cu addition on porous NiTi SMAs produced by self-propagating high-temperature synthesis
- Optimized random sampling for the load level method in Wöhler tests
- Monte Carlo simulation and evaluation of burst strength of pressure vessels
- Stress analysis of a Wankel engine eccentric shaft under varied thermal conditions
- Effectiveness of Ti micro-alloying for the suppression of Fe impurities in AZ91 Mg alloys and associated corrosion properties
- Mechanical properties of hybrid fiber reinforced concrete and a nondestructive evaluation
- Multi-objective optimization of an intersecting elliptical pressure hull as a means of buckling pressure maximizing and weight minimization
- Preload dependent material properties of lamination stacks for electric machines
- Effect of inoculant type and treatment material quantity on properties of vermicular graphite cast iron rail vehicle brake discs
- Effects of the chemical treatment of avocado pear wood filler on the properties of LDPE composites
- Uncertainty analysis of cutting parameters during grinding based on RSM optimization and Monte Carlo simulation
- Applicability of compact tension specimens for evaluation of the plane-strain fracture toughness of steel