2016
DOI: 10.1177/0954407016672606
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Multi-objective optimization design of a multi-layer honeycomb sandwich structure under blast loading

Abstract: In order to improve the shielding performance of the underbody protective structure of military vehicles when subjected to explosive events, a multi-layer honeycomb sandwich structure is proposed. Full consideration of the computing response of the underbody protective structure under blast loading is a large-scale and strongly non-linear problem; a reasonably simplified finite element model is constructed in this paper. LS-DYNA software was employed to simulate blast loading by using the *LOAD_BLAST equation … Show more

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Cited by 16 publications
(5 citation statements)
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“…The indicators for evaluating the protective performance of armored vehicles mainly fall into two categories: vehicle and occupant. Based on vehicle evaluation criteria, the focus is on whether the deflection peaks of protective components and the vehicle's bottom armor plate are within design limits, and whether there is penetration damage to materials [8]. This assessment involves both stress-based strength criteria and displacement-based stiffness criteria.…”
Section: Human Injury Assessment Indicatorsmentioning
confidence: 99%
“…The indicators for evaluating the protective performance of armored vehicles mainly fall into two categories: vehicle and occupant. Based on vehicle evaluation criteria, the focus is on whether the deflection peaks of protective components and the vehicle's bottom armor plate are within design limits, and whether there is penetration damage to materials [8]. This assessment involves both stress-based strength criteria and displacement-based stiffness criteria.…”
Section: Human Injury Assessment Indicatorsmentioning
confidence: 99%
“…Resulting from the use of numerical analysis techniques, optimization of such structures using derivative-based approaches that require gradient information are less common with none found in the literature for FEA analysis cases. Furthermore, many examples of multiobjective optimization problems can be found, which further restricts the choice of optimizer if all objectives are to be considered (Namvar and Vosoughi, 2020;Paz et al, 2014Paz et al, , 2015Wang et al, 2017;Yin et al, 2011). The most common choices for an optimizer found for these problems have been surrogate optimization (Paz et al, 2014(Paz et al, , 2015Sun et al, 2010), and evolutionary and heuristic optimization techniques (Huang et al, 2021;Namvar and Vosoughi, 2020;Schultz et al, 2011;Wang et al, 2017;Yin et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, many examples of multiobjective optimization problems can be found, which further restricts the choice of optimizer if all objectives are to be considered (Namvar and Vosoughi, 2020;Paz et al, 2014Paz et al, , 2015Wang et al, 2017;Yin et al, 2011). The most common choices for an optimizer found for these problems have been surrogate optimization (Paz et al, 2014(Paz et al, , 2015Sun et al, 2010), and evolutionary and heuristic optimization techniques (Huang et al, 2021;Namvar and Vosoughi, 2020;Schultz et al, 2011;Wang et al, 2017;Yin et al, 2011). Surrogate optimizations rely on fitting easily differentiable functions to computed designs in the objective space.…”
Section: Introductionmentioning
confidence: 99%
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“…Explosion-resistant structure can absorb the explosive shock wave and prevent buildings and personnel from being seriously hit. Aluminum honeycomb structure is widely used as explosion-resistant structure for its high specific strength, high specific stiffness, and good energy absorption ability [1,2].…”
Section: Introductionmentioning
confidence: 99%