Abstract
The mesh refinement decisions of an experienced user of high-velocity impact numerical approximation finite differences computations are discovered as a set of comprehensible rules by means of Genetic Programming. These rules that could automatically trigger adaptive mesh refinement to mimic the expert user, detect mesh cells that require refinement by evolving a formula involving cell quantities such as material densities. Various cell variable combinations are investigated in order to identify the optimal ones for indicating mesh refinement. A high-velocity impact phenomena example of a tungsten ball that strikes a steel plate illustrates this methodology.
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Acknowledgments
The authors would like to acknowledge assistance from I. Cullis for acting as our expert and the assistance from S.C. Roberts and R.W. Brankin with aspects of the computations, Fortran programming, and engineering data manipulation.
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Howard, D., Brezulianu, A. Capturing expert knowledge of mesh refinement in numerical methods of impact analysis by means of genetic programming. Soft Comput 15, 103–110 (2011). https://doi.org/10.1007/s00500-010-0684-x
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DOI: https://doi.org/10.1007/s00500-010-0684-x