爆破荷载作用下砌体墙体破坏响应的非线性有限元分析

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Sipho G. Thango, G. Stavroulakis, G. Drosopoulos
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引用次数: 0

摘要

本文对砌体墙在爆炸荷载作用下的数值模拟进行了研究。提出了一种描述墙体结构响应的非线性有限元模型。在砌块的界面中使用了单向接触-摩擦定律,以提供砌块之间的离散破坏。连续损伤塑性模型也用于解释块体的压缩和拉伸破坏。本文的主要目的是研究爆破荷载参数和墙的静荷载影响下产生的不同坍塌机制。进行了参数研究,以评估爆炸源-墙(间隔)距离和爆炸重量对系统结构响应的影响。研究表明,当存在爆破作用时,传统的平面内对角开裂破坏模式可能仍然占主导地位,这取决于当平面内静载荷也施加到墙壁上时所考虑的支座距离和爆破重量。还应强调的是,墙壁中开口的存在可能会显著降低爆破作用的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of the Failure Response of Masonry Walls Subjected to Blast Loading Using Nonlinear Finite Element Analysis
A numerical investigation of masonry walls subjected to blast loads is presented in this article. A non-linear finite element model is proposed to describe the structural response of the walls. A unilateral contact–friction law is used in the interfaces of the masonry blocks to provide the discrete failure between the blocks. A continuum damage plasticity model is also used to account for the compressive and tensile failure of the blocks. The main goal of this article is to investigate the different collapse mechanisms that arise as an effect of the blast load parameters and the static load of the wall. Parametric studies are conducted to evaluate the effect of the blast source–wall (standoff) distance and the blast weight on the structural response of the system. It is shown that the traditional in-plane diagonal cracking failure mode may still dominate when a blast action is present, depending on the considered standoff distance and the blast weight when in-plane static loading is also applied to the wall. It is also highlighted that the presence of an opening in the wall may significantly reduce the effect of the blasting action.
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来源期刊
Computation
Computation Mathematics-Applied Mathematics
CiteScore
3.50
自引率
4.50%
发文量
201
审稿时长
8 weeks
期刊介绍: Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.
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