Performance of Steel Grain Silos and Rural Communities to Windstorms

Performance of Steel Grain Silos and Rural Communities to Windstorms
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钢制粮仓和农村社区的风暴性能

DOI:
10.1061/9780784482247.027
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发表时间:
2019
期刊:
ASCE Structures Congress 2019
影响因子:
--
通讯作者:
Wittich, Christine
Wittich, Christine
中科院分区:
--
文献类型:
--
作者:
Brito, Lianne;Wittich, Christine

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农村社区是数百万人和小企业的家园,分布在美国各地。因此,这些农村地区经常遭受极端负荷和自然灾害,包括地震,龙卷风和飓风。量化自然灾害对农村社区造成的破坏的规模和程度是一项巨大的挑战,特别是考虑到各种因素,如饲料供应被毁、牲畜损失、谷仓和其他结构受损等。因此,作为了解自然灾害对农村社区影响的第一步,本文首先介绍了2018年前七个月遭受自然灾害的农村社区的数字/虚拟侦察结果。通过数字化勘察与传统勘察相结合的成果,突出了大型钢粮筒仓结构对风暴的敏感性。为了进一步深入了解这个问题,在LS-DYNA中提出了这种结构的数值模型,并在参数研究中使用,以确定导致结构失效的关键几何和载荷特性。
Rural communities are home to millions of people and small businesses, and are found in a wide range of geographic locations across the United States. As such, these rural areas are routinely subjected to extreme loads and natural hazards including earthquakes, tornadoes, and hurricanes. It is an enormous challenge to quantify the scale and extent of natural hazards’ damage on rural communities, particularly when considering the various components such as destroyed feed supplies, livestock losses, damage to barns and other structures, etc. This challenge is exacerbated by the lack of knowledge regarding the response of many rural systems to weather and climate disasters. Therefore, as a first step towards understanding the impacts of natural hazards on rural communities, this paper first presents the results of a digital/virtual reconnaissance of rural communities that have been subjected to a natural hazard during the first seven months of 2018. The results of this digital reconnaissance, in combination with traditional reconnaissance, highlighted that large steel grain silo structure is particularly susceptible to windstorms. To gain further insight into this problem, a numerical model of this structure in LS-DYNA is presented and used within a parametric study to identify the key geometric and load properties that lead to failure of the structure.
DOI: 10.1080/24694452.2016.1194740
发表时间: 2016-01-01
影响因子: 3.9
作者:
Cutter, Susan L.;Ash, Kevin D.;Emrich, Christopher T.
通讯作者: Emrich, Christopher T.