Thermo-mechanical modeling of metallic alloys for nuclear engineering applications

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@Article{Vijayaraghavan:2017:Measurement,
  author =       "V. Vijayaraghavan and A. Garg and K. Tai and 
                 Liang Gao",
  title =        "Thermo-mechanical modeling of metallic alloys for
                 nuclear engineering applications",
  journal =      "Measurement",
  volume =       "97",
  pages =        "242--250",
  year =         "2017",
  ISSN =         "0263-2241",
  DOI =          "doi:10.1016/j.measurement.2016.11.003",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0263224116306406",
  abstract =     "Austenitic stainless steel 304 (SS304) alloy has been
                 used exclusively in nuclear power systems due to its
                 excellent mechanical properties at elevated temperature
                 environments. Despite its wide popularity, the effect
                 of various factors such as temperature, applied strain,
                 and strain rate on the mechanical strength of the alloy
                 needs to be investigated. In light of this, this
                 research article focuses on development of a finite
                 element based analytical modeling approach for modeling
                 the mechanical strength of SS304 with respect to
                 considered input factors. The proposed analytical
                 approach combines the interface of finite element
                 modeling and the heuristic optimization algorithm of
                 genetic programming. The developed analytical model
                 shows good conformance of the mechanical strength with
                 the experimental observations. Sensitivity and
                 parametric analysis of the derived model was also able
                 to accurately predict the elastic and plastic regime of
                 the alloy and shows that temperature remains the major
                 factor in influencing the mechanical strength of the
                 alloy. The proposed approach is anticipated to be
                 useful for nuclear engineers for optimizing the design
                 criteria for nuclear pressure vessels which can lead to
                 increased material savings and hence lead to more
                 sustainable design of nuclear power generation
                 facilities.",
  keywords =     "genetic algorithms, genetic programming,
                 Thermomechanical analysis, Finite element modeling,
                 Mechanical strength, SS304 alloy",
}

Genetic Programming entries for Venkatesh Vijayaraghavan Akhil Garg Kang Tai Liang Gao

Citations