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火灾后再遭遇地震的 RC 柱简化预编码模型。

Simplified model for pre-code RC column exposed to fire followed by earthquake.

机构信息

EPICentre, Department of Civil, Environmental and Geomatic Engineering, UCL, London, UK.

School of Engineering, Institute of Infrastructure and Environment, University of Edinburgh, Edinburgh, UK.

出版信息

Sci Rep. 2022 May 28;12(1):8980. doi: 10.1038/s41598-022-13188-z.

Abstract

The behaviour of pre-code reinforced concrete (RC) columns in sequence of fire and earthquake is not well understood and can be critical in case of buildings which experienced fire and are either unrepaired or poorly repaired when exposed to an earthquake. This study proposes a framework on how to construct a simplified model to assess the post-fire cyclic behaviour of such columns. Emphasis is given to the development of simplified material models which can be used to describe the performance of the confined concrete, as its post-fire behaviour is not well studied. The model's performance is validated against the experimental results of a square, non-seismically designed RC column. Three scenarios are considered. The reference scenario, where the column is exposed only to cyclic loading. In the other two, the column is firstly exposed to an ISO-834 time-temperature curves in a furnace of 30 min and 90 min duration and after it cooled down, it is exposed to cyclic loading. The results showed that simplified material models can be used to capture the post-fire cyclic behaviour of an RC column, built without seismic design. It was also found that the confined model adopted played an important role after the peak strength is reached.

摘要

未编码的钢筋混凝土(RC)柱在火灾和地震顺序下的行为尚未得到很好的理解,对于经历过火灾且在遭受地震时未得到修复或修复不佳的建筑物而言,这可能是至关重要的。本研究提出了一种构建简化模型以评估此类柱在火灾后的循环行为的框架。重点是开发简化的材料模型,这些模型可用于描述约束混凝土的性能,因为其火灾后的行为尚未得到很好的研究。该模型的性能通过对一个方形、非抗震设计的 RC 柱的实验结果进行验证。考虑了三种情况。参考情况是,柱仅承受循环加载。在另外两种情况下,柱首先在炉中暴露于 ISO-834 时间-温度曲线 30 分钟和 90 分钟的持续时间,然后冷却后,它承受循环加载。结果表明,简化的材料模型可用于捕获未按抗震设计建造的 RC 柱的火灾后循环行为。还发现,在达到峰值强度后,所采用的约束模型起着重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f36/9148317/42429e1f2aed/41598_2022_13188_Fig1_HTML.jpg

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