TY - GEN

T1 - Comparison of search algorithms for assessing airblast effects

AU - Togashi, Fumiya

AU - Löhner, Rainald

AU - Baum, Joseph D.

AU - Luo, Hong

AU - Jeong, Shinkyu

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

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M3 - Conference contribution

SN - 9781624100536

T3 - 17th AIAA Computational Fluid Dynamics Conference

BT - 17th AIAA Computational Fluid Dynamics Conference

T2 - 17th AIAA Computational Fluid Dynamics Conference

Y2 - 6 June 2005 through 9 June 2005

ER -