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首页> 外文期刊>Engineering Structures >In-plane response of masonry infill walls: Comprehensive experimentally-based equivalent strut model for deterministic and probabilistic analysis
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In-plane response of masonry infill walls: Comprehensive experimentally-based equivalent strut model for deterministic and probabilistic analysis

机译：砌体填充墙的面内响应：基于实验的综合等效支杆模型，用于确定性和概率分析

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摘要

It is widely recognised that the presence of infills modifies the global structural response of frame buildings subjected to seismic loads. Despite the substantial research carried out in the last decades, the assessment of the seismic performance of infilled frames remains an open issue due to the complexity of the interaction between the infill and the frame and to the large number of parameters involved. In this study, a data set of 162 experimental tests available in the literature is initially employed to assess the reliability of different models based on the equivalent strut approach. The comparison between predicted and experimental values highlights large uncertainties, especially for the stiffness prediction. A novel model is thus developed, that duly takes into account these uncertainties. The constitutive model is piecewise-linear, where characteristic force-displacement points are clearly defined and the related error terms are estimated. Beside the masonry mechanical characteristics, the model considers different features, such as the presence of vertical or horizontal hollows in the units. An example of application of the proposed model is finally presented. Specifically, the cyclic response of experimental tests not included in the original data set is reproduced by making use of the suggested strut model.
机译：众所周知，填充物的存在改变了框架结构在地震荷载作用下的整体结构响应。尽管在过去的几十年中进行了大量的研究，但是由于填充物和框架之间相互作用的复杂性以及所涉及的大量参数，对填充框架的抗震性能的评估仍然是一个悬而未决的问题。在这项研究中，最初采用文献中可用的162个实验测试的数据集来基于等效的支撑方法评估不同模型的可靠性。预测值与实验值之间的比较突出了很大的不确定性，尤其是对于刚度预测而言。因此，开发了一种新颖的模型，该模型充分考虑了这些不确定性。本构模型是分段线性的，其中明确定义了特征力位移点，并估计了相关的误差项。除了砌筑物的机械特性外，该模型还考虑了不同的特征，例如单元中存在垂直或水平凹陷。最后给出了该模型的应用实例。具体来说，通过使用建议的支撑模型，可以再现未包含在原始数据集中的实验测试的循环响应。

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