Abstract
Foam aluminum is an energy-absorbing material with excellent performance. The interlayer composed of multiple layers of foam aluminum and steel plate has good antiexplosion ability. In order to explore the antiexplosion performance of double-layer foam aluminum under different porosity rankings and to reveal its microscopic deformation law and failure mechanism, three kinds of aluminum foams with a porosity of 80%, 85%, and 90% were selected to form six different structures. Based on the Voronoi algorithm, a three-dimensional foam aluminum generation algorithm with random pore size and random wall thickness was written by using the Python language and Fortran language. The three-dimensional mesoscopic model of double-layer closed-cell aluminum foam sandwich panel is established by using LS-DYNA and ABAQUS software. The explosion process was simulated, and the flow field movement of explosion shock wave of aluminum foam under different porosity rankings was analyzed. Two groups of aluminum foam were randomly selected for the explosion test and compared for the strain and compression. The test results are consistent with the simulation results, which verifies the correctness of the three-dimensional meso-model. The results show that when the porosity of the upper layer of aluminum foam is greater than that of the lower layer of aluminum foam, the sandwich structure of double-layer aluminum foam has a large compression and the bottom plate has a small displacement; it is not that the greater the compression amount of aluminum foam is, the better the antiexplosion and wave absorption ability is. When the aluminum foam reaches the ultimate load-bearing capacity, the aluminum foam transfers the load due to compaction, resulting in stress enhancement phenomena. Through the analysis of the compression amount, floor deformation, wave dissipation capacity, and energy ratio of aluminum foam, it is concluded that the antiexplosion wave absorption effect of the sandwich structure of aluminum foam with 80%/85% group is the best; the changes of porosity and cell wall are important factors affecting the energy absorption capacity of aluminum foam.
Highlights
IntroductionVarious explosions have occurred frequently. Explosion containment vessels (ECVs) are widely used to completely contain the effects of explosions
In recent years, various explosions have occurred frequently
A series of conclusions are obtained through numerical simulation and analysis: (1) On the basis of Voronoi algorithm, the aluminum foam generation algorithm with random three-dimensional pore size and wall thickness is compiled by using Python language and Fortran language. e three-dimensional mesoscopic model of doublelayer closed-cell aluminum foam sandwich panel is established by using LS-DYNA and ABAQUS software, and the random wall thickness is set to better simulate the real aluminum foam model
Summary
Various explosions have occurred frequently. Explosion containment vessels (ECVs) are widely used to completely contain the effects of explosions. Many scholars have studied the dynamic response and energy absorption capacity of metal foam sandwich structure, especially under explosive loading [17,18,19,20,21]. E results show that the dynamic properties of metal foams are affected by many factors, such as meso-structure (density, core gradation, cell wall strength, etc.), plate thickness, and loading strain rate. Dou et al [29] have studied the strain rate of aluminum foam sandwich panels by means of numerical simulation and think that the strain rate effect of aluminum foam becomes more and more obvious with the increase of relative density. The three-dimensional mesoscopic model of aluminum foam is imported into the LS-DYNA software to establish the explosion model of double-layer aluminum foam sandwich panel. E stress wave intensities of the cover plate were transmitted to the first layer of aluminum foam, the first layer of aluminum foam to the second layer of aluminum foam and the second layer of aluminum foam to the bottom plate are measured, respectively, and the test results are recorded as σ1, σ2, and σ3, respectively. σ1 is the mean stress of the uppermost element of the first layer of aluminum foam, σ2 is the average stress of the lowest element of the first layer and the uppermost element stress of the second layer, and σ3 is the mean stress of the uppermost element of the bottom plate
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