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首页> 外文期刊>Magazine of Concrete Research >Reinforced concrete frame analysis with mode of failure prediction capability
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Reinforced concrete frame analysis with mode of failure prediction capability

机译：具有故障预测能力模式的钢筋混凝土框架分析

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摘要

This paper is concerned with the development of a numerical method that is intended not only for the analysis and design of new frame-type reinforced-concrete (RC) structures, but also for the assessment of existing frame-type RC structures. The characteristic feature of the proposed method, which was developed within an object-oriented environment using the Python programming language, is its ability to identify all types of failure that may be suffered by the elements of the structure. This is achieved by noting that the portions of the structure extending between points of maximum bending moment and points of contra-flexure or consecutive points of contra-flexure are equivalent to cantilevers or simply supported beams, respectively, for which there is ample experimental information linking their design details with modes of failure. The validity of the method is verified through a comparative study of the numerical predictions with the experimentally established behaviour of frames obtained from the literature.
机译：本文涉及一种数值方法的发展，该方法不仅用于分析和设计新的框架型钢筋混凝土（RC）结构，而且还用于评估现有的框架型RC结构。所提出的方法的特征是使用Python编程语言在一个面向对象的环境中开发的，它具有识别结构元素可能遭受的所有类型的故障的能力。这是通过注意到在最大弯矩点和反弯曲点或反弯曲的连续点之间延伸的结构部分分别等效于悬臂梁或简单支撑的梁而实现的，为此有足够的实验信息链接他们的设计细节以及失败模式。通过对数值预测与从文献中获得的实验确定的框架行为进行比较研究，验证了该方法的有效性。

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