Surrogate models are commonly used for approximation of large computationally expensive vehicle
crash simulation to facilitate rapid design space exploration and optimization. Unfortunately, the optimum design
based on surrogates may turn out to be infeasible after running finite element crash simulation due to the surrogate
errors. To meet this challenge, conservative strategy of surrogate modeling through compensating fitting errors was
used for reliability based design optimization of vehicle structures for crashworthiness and weight reduction. The
critical crash responses were constructed by unbiased kriging models, and conservative surrogates were obtained
via adding safety margin to estimate the crash responses conservatively. The benefits of using conservative
surrogates for reliability based design optimization were investigated in the context of constraint feasibility of
the optimum designs through a mathematical example and a case study on vehicle crashworthiness design. The
results demonstrate that optimization based on conservative surrogate helps to achieve the feasible optimum
design, showing more attractive for reliability based design optimization in engineering applications.
PAN Feng1 (潘锋), ZHU Ping1,2* (朱平), CHEN Wei3 (陈卫), LI Chen-zhao1 (李忱钊)
. Application of Conservative Surrogate to Reliability Based Vehicle Design for Crashworthiness[J]. Journal of Shanghai Jiaotong University(Science), 2013
, 18(2)
: 159
-165
.
DOI: 10.1007/s12204-012-1240-x
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