Comparison of search algorithms for assessing airblast effects

Fumiya Togashi, Rainald Löhner, Joseph D. Baum, Hong Luo, Shinkyu Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Three spatial search algorithms to assess the maximum possible range-to- effect as a function of blast origin are compared. The cost function considered is the number of windows destroyed due to a blast. The 3-D flowflelds are computed using an Euler solver on optimized unstructured grids with 1-3 million elements. Efficient parallel execution of many scenarios on a network of computers ensures answers with reasonable computational times. The three methods compared comprise: a) a standard genetic optimization technique, b) a Kriging model, and c) a Finite Element approximation approach. The results indicate that the two latter models outperform the standard genetic optimization technique by a considerable margin, enabling an accurate search for locations of maximum possible blast damage with far fewer cost function evaluations. In some cases, the number of cost function evaluations (i.e. 3-D Euler runs) can be reduced by an order of magnitude. Moreover, both the Kriging model and the Finite Element approximation approach allow for reliability bounds, thereby enabling proper stopping criteria.

Original languageEnglish
Title of host publication17th AIAA Computational Fluid Dynamics Conference
Publication statusPublished - 2005 Dec 1
Event17th AIAA Computational Fluid Dynamics Conference - Toronto, ON, Canada
Duration: 2005 Jun 62005 Jun 9

Publication series

Name17th AIAA Computational Fluid Dynamics Conference

Other

Other17th AIAA Computational Fluid Dynamics Conference
CountryCanada
CityToronto, ON
Period05/6/605/6/9

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Mechanical Engineering

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