Stochastic Simulation of Crack Growth in Hydrogenating and Cycling High-Strength Steels via Cloud Computing

Abstract:

Stochastic simulation using authors’ empirically-specified deterministic model estimates technical risk, i.e. failure risk. Simulating a crack growth in hydrogenating and stress cycling high-strength steels requires a great computing performance. Cloud computing based on Microsoft Azure enables authors to provide a lot of required calculations to complete design tasks in appropriate time to ensure safety operation of the structure component under consideration. Obtained results illustrate benefits of using cloud computing for stochastic simulation of crack growth in high-strength steels in comparison with the same calculations executed on a workstation. The article emphasizes the prospects of cloud computing applications to technical risk management.

• Periodical: Advanced Materials Research (Volumes 1008-1009)
• Pages: 1130-1133
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1008-1009.1130
• Online since: August 2014
• Authors: Petr Sokolnikov, Yury V. Berchun, Georgy V. Shashurin, Pavel V. Tarakanov, Ludmila A. Rezchikova, Aleksander Romanov
• Keywords: Cloud Computing, Cycling, Hydrogen Embrittlement, Life, Stochastic Simulation

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