Shape Optimization of Panels Subject to Blast Loading Modeled with LS-DYNA

Belegundu, Ashok D.; Argod, V.; Rajan, Subramaniam; Krishnan, Kishore V.

doi:10.2514/6.2008-2285

Cited by 2 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Shape optimization of panels subjected to dynamic loading has unique challenges one of which is the considerable compute time required for carrying out the finite element analysis, an integral part of function evaluation [1,2]. The analysis of metallic and composite panels subjected to both ballistic and blast load has been carried out by many researchers.…”

Section: Introductionmentioning

confidence: 99%

MPI-enabled Shape Optimization of Panels Subjected to Air Blast Loading

Argod

Belegundu

Aziz

et al. 2008

Int. J. Simul. Multidisci. Des. Optim.

View full text Add to dashboard Cite

-The problem of finding the optimal shape of an aluminum plate to mitigate air blast loading is considered. The goal is to minimize the dynamic displacement of the plate relative to the test fixture, while monitoring plastic strain values, mass, and envelope constraints. This is a computationally challenging problem owing to (a) difficulty with finding optimal shapes with higher dimensional shape variations, (b) non-differentiable, non-convex and computationally expensive objective and constraint functions, and (c) difficulties in controlling mesh distortion that occur during explicit finite element analysis. An approach based on coupling LS-DYNA finite element software and a differential evolution (DE) optimizer is presented. Since DE involves a population of designs which are then crossed-over and mutated to yield an improved generation, it is possible to use coarse parallelization wherein a computing cluster is used to evaluate fitness of the entire population simultaneously. However, owing to highly dissimilar computing time per analysis, a result of mesh distortion and minimum time step in explicit finite element analysis, implementation of the parallelization scheme is challenging. Sinusoidal basis shapes are used to obtain an optimized 'double-bulge' shape. = maximum plastic strain at failure ε = equivalent plastic strain M = total mass of the structure M max = upper limit for the mass of the structure T = thickness of the structure (plate) at any (x, y) location in the plate t min = Minimum thickness allowed z = vector of z-coordinate of the nodes z U = upper limit on z-coordinate z L

show abstract

Section: Introductionmentioning

confidence: 99%