Probabilistic Failure Prediction of High Strength Steel Rocket Motor Cases

Krishnaveni, A.; Christopher, T.; Jeyakumar, K.; Jebakani, D.

doi:10.1007/s11668-014-9829-z

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…Probabilistic analysis is found to be of interest in other similar design fields also. Krishnaveni et al (2014) have followed a stochastic analysis procedure in assessing the failure pressure of high strength metallic rocket motor cases. They have considered scattering in yield strength, ultimate strength, and thickness of metallic cylindrical pressure vessels and evaluated reliability-based safety factors.…”

Section: Introductionmentioning

confidence: 99%

Effect of statistical scatter in the elastic properties on the predictability of first ply failure of a polymer composite pressure vessel

J²,

Krishnaveni³

2021

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Statistical variations in the elastic properties of composites are unavoidable. This work is concerned with the assessment of the probabilistic first ply failure of pressure vessel in response to the variations of elastic properties of T700 carbon/epoxy composite among the published literature. Initially, deterministic failure pressure is estimated using Finite Element Analysis software ANSYS. The uncertainties with respect to elastic properties are quantified by using Statistical software MINITAB. Then, the probability design system platform in ANSYS software has been utilized to perform probabilistic failure analysis by Monte Carlo simulations. The statistical results in terms of the mean and standard deviation of first ply failure pressure are computed. The probabilistic first ply failure pressure range determined is within 3 limits with 99.997% confidence level. It is helpful to the designers to assess the factor of safety in the case of anticipated variations in properties.

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Section: Introductionmentioning

confidence: 99%