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    杨姝

    • 副教授     博士生导师 硕士生导师
    • 性别:女
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:机械工程学院
    • 学科:车辆工程
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    Impact and close-in blast response of auxetic honeycomb-cored sandwich panels: Experimental tests and numerical simulations

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      发布时间:2019-03-11

      论文类型:期刊论文

      发表时间:2017-11-15

      发表刊物:COMPOSITE STRUCTURES

      收录刊物:SCIE、Scopus

      卷号:180

      页面范围:161-178

      ISSN号:0263-8223

      关键字:Blast loading; Close-in detonation; Auxetic; Negative Poisson's ratio; Sandwich; Impact; Finite element

      摘要:Protecting building, critical infrastructure and military vehicles from Improvised Explosive Devices (IEDs) has become a critical task. This study aims to examine the performance of a new protective system utilizing auxetic honeycomb-cored sandwich panels for mitigation of shock loads from close-in and contact detonations of high explosives. Both field blast tests and drop weight tests were performed using the proposed sandwiches as a shield for concrete panels in combination with conventional steel protective plates. The combined shield was found to be effective in protecting reinforced concrete structures against severe impact and close-in blast loadings. The honeycomb core with re-entrant hexagonal cells shows evident auxetic characteristics which contribute substantially to outstanding force mitigation and blast-resistance performances of such sandwich panels. Numerical simulations showed good agreement with the experimental results. The proposed auxetic panels were found to perform better than conventional honeycomb panels of the same size, areal density and material. Both were found to boost the energy absorption of the monolithic steel plate by a factor of 2.5 by changing its deformation pattern under close-in blast loading. In addition, a combination of the steel plate and an auxetic sandwich panel has aerial specific energy absorption (ASEA) higher than either of them, showing great potential for the development of lightweight blast protection of civil, mining, military, nuclear infrastructure and vehicles. (C) 2017 Elsevier Ltd. All rights reserved.