Determining critical areas of transmission towers due to sudden removal of members

Case studies in engineering failure analysis Pub Date : 2017-10-01 DOI:10.1016/j.csefa.2015.09.005

Soheil Dadras Eslamlou, Behrouz Asgarian

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引用次数: 16

Abstract

In this study, the structural susceptibility of a 400 kV power transmission tower subjected to progressive collapse and methods of determining the critical areas of above mentioned structure are investigated. OpenSees program is used for numerical modeling and nonlinear dynamic analysis of the tower which considers the buckling possibility of compression members and the plasticity in the cross sections as well. First, the progressive collapse analysis is performed and the results are reported as time history diagrams. Then, the impact factor of members’ removal and the capacity-to-demand ratio are calculated for different failure scenarios of structural members due to the results of preliminary analysis of progressive collapse. The critical areas of the transmission tower through impact factor and capacity-to-demand ratio are determined so that it will be more feasible to propose retrofitting methods for the damaged structure in order to reduce the future risks. For the studied sample transmission tower, impact factors and capacity-to-demand ratios of 41% of APM cases can predict same critical areas.

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确定因突然拆除成员而导致的输电塔的关键区域

本文研究了400kv输电塔在连续倒塌作用下的结构敏感性，以及确定该结构临界区域的方法。采用OpenSees程序对塔体进行了数值模拟和非线性动力分析，同时考虑了受压构件的屈曲可能性和截面塑性。首先，进行渐进式倒塌分析，并以时间历史图的形式报告结果。然后，根据渐进式破坏的初步分析结果，计算了不同构件破坏情景下构件拆除的影响因子和能力需求比。通过影响因子和容量需求比确定输电塔的关键区域，从而更可行地提出对受损结构的改造方法，降低未来的风险。对于所研究的样本输电塔，41%的APM案例的影响因子和容量需求比可以预测相同的临界区域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Case studies in engineering failure analysis

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