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Assessment of the Seismic Behaviour of the Reinforced Concrete Structures Based on the Probabilities: Implementing Fragility Curves

机译:基于概率的钢筋混凝土结构抗震性能评估:实现脆性曲线

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The response of reinforced concrete structures to earthquake is a complicated issue that has been the subject of researchers’ studies for years. At present, various methods are used to evaluate the seismic resistance of existing buildings in the world. These methods are established in such ways that they only have an application in different types of reinforced concrete buildings constructed in a country. Therefore, direct application of them in other countries is not possible. On the other hand, design control of the existing reinforced concrete structures and determining their behaviour against earthquake motions, needs a rather easy applied method. One of the main desired goals on this basis is to introduce a new method for computing the probability of vulnerability of reinforced concrete structures that besides simplicity, and accuracy in computation, presents a more realistic and pragmatic probability of structures vulnerability and also can readily compute the level of vulnerability of other structures and be able to present in valid regulations of seismic design of structures, because it seems that it expresses the Log normal distribution probability very conservatively. Therefore, Logistic probability distribution was studied and it appeared that it has the ability of computing probability of vulnerability of the structures with high accuracy. In this paper, the attempts have been made to apply the logistic distribution simultaneously with the Log-normal distribution and to compare their results.
机译:钢筋混凝土结构对地震的反应是一个复杂的问题,多年来一直是研究人员研究的主题。目前,世界上已有各种方法来评估现有建筑物的抗震性能。建立这些方法的方式仅适用于在一个国家/地区建造的不同类型的钢筋混凝土建筑物。因此,无法在其他国家直接应用它们。另一方面,对现有钢筋混凝土结构的设计控制以及确定其抵抗地震运动的性能,需要一种相当容易应用的方法。在此基础上,主要的目标目标之一是引入一种计算钢筋混凝土结构易损性的新方法,该方法除了简单,计算准确外,还提供了更加现实和实用的结构易损性概率,并且可以轻松地计算出其他结构的易损性水平,并能够在结构的抗震设计有效法规中提出,因为它似乎非常保守地表达了Log正态分布概率。因此,对逻辑概率分布进行了研究,结果表明该逻辑分布具有较高的计算结构易损性概率的能力。在本文中,已经尝试将逻辑分布与对数正态分布同时应用,并比较它们的结果。

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