Improving the progressive collapse resistance of long-span single-layer spatial grid structures
Improving the progressive collapse resistance of long-span single-layer spatial grid structures
复制标题
提高大跨单层空间网架结构的抗连续倒塌能力
DOI：
10.1016/j.conbuildmat.2018.03.126
复制
发表时间：
2018-05
影响因子：
7.4
通讯作者：
Ji-ping Hao
中科院分区：
文献类型：
--
作者：
Jian-peng Wei;Li-min Tian;Ji-ping Hao
大跨度单层空间网格结构在公共建筑中有着广泛的应用，其连续倒塌问题一直是结构工程领域的研究热点。进行了四次子结构试验，观察到两种类型的破坏：强度和稳定性。根据实验结果，采用多尺度技术的数值模拟进行了校准。提出了一种新的方法，包括扭结钢管加固和额外的构件加固，并通过数值模拟进行了验证。扭结钢管加固是一种防止强度失效的局部加固方法。通过单杆分析确定了扭结钢管的形状。模拟结果表明，承载力和变形同时得到提高。构件移除引起的势能增加被吸收到应变能中。杆件附加加固是一种防止失稳破坏的整体加固方法。采用特征值分析和非线性屈曲分析确定多余杆件的位置。对两种典型的穹顶结构进行了附加杆件加固的抗倒塌分析。研究结果表明，附加构件加固是一种有效的抗连续倒塌技术。
The progressive collapse of long-span single-layer spatial grid structures, which are widely applied in public buildings, is a hot research topic in structural engineering. Four substructure experiments were conducted, and two types of failure were observed: strength and stability. Based on the experimental results, a numerical simulation using multi-scale technology was calibrated. A novel method including kinked steel pipe reinforcement and extra member reinforcement was proposed and validated by numerical simulation. Kinked steel pipe reinforcement is a local reinforcement method that prevents strength failure. The shape of the kinked steel pipe was determined through single-member analysis. Simulation results showed that the bearing capacity and deformation were improved simultaneously. The increase in the potential energy induced by member removal was absorbed into the strain energy. Extra member reinforcement is a global reinforcement method that prevents stability failure. Eigenvalue and nonlinear buckling analyses were adopted to locate the extra members. The extra member reinforcement was applied in the anti-collapse analysis of two typical domes. The results validated that extra member reinforcement is a powerful technique for resisting progressive collapse.
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影响因子：
7.4
作者：
Kamal Alogla;L. Weekes;Levingshan Augusthus-Nelson
通讯作者：
Kamal Alogla;L. Weekes;Levingshan Augusthus-Nelson
影响因子：
4.1
作者：
Wen-Da Wang;Huawei Li;Jing-Xuan Wang
通讯作者：
Wen-Da Wang;Huawei Li;Jing-Xuan Wang
DOI：
10.1061/(asce)cf.1943-5509.0000675
发表时间：
2015-10
影响因子：
2.5
作者：
M. S. Adaros;R. Smilowitz
通讯作者：
M. S. Adaros;R. Smilowitz
影响因子：
5.5
作者：
F. Dinu;I. Marginean;D. Dubina
通讯作者：
F. Dinu;I. Marginean;D. Dubina
DOI：
10.1061/9780784480397.015
发表时间：
2017-04
期刊：
--
影响因子：
--
作者：
Kai Qian;Yang Yu;Yue Wang;Bing Li
通讯作者：
Kai Qian;Yang Yu;Yue Wang;Bing Li