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Sustainable evaluation of urban buildings for safety in environment management: the case of the Taiwan 921 earthquake

机译:环境管理安全安全性的可持续评价:台湾921地震的情况

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After the 921 earthquake in Taiwan, people have a great fear of earthquakes. In terms of disaster characteristics in earthquakes, the casualties were caused by breakages and the collapse of the buildings. The ability of the building to resist earthquakes becomes a fundamental requirement for earthquake prevention. The factors that influence the ability of a building to resist earthquakes can be categorized into two: the characters of natural environment and the characters of the building itself. The Binary Regression Method was used to construct a forecast model for the hazardousness of the building in an earthquake disaster, and to differentiate the relationship between damage to the building and the characters of the building by the coefficients in the model. In this study, which is in accordance with building damage records of the Gi-Gi earthquake, nine factors, namely the distance between the building and a river, the thickness of the soil, the structure of the building, the number of floors a building has, the age of the building, the use of the building, the plane configuration of the building, any skylights and the situation of any overprint on the roof, are determined in the logistic regression model, and the relationship between these factors and the grades of building damage are also analyzed by the model. In the aspect of model application, this study chooses parts of the areas in the east of Tainan City, which provide similar environmental conditions, calculates the danger probability and transforms these into the building prediction results in safety, danger and collapse. The prediction results are proved credible and valid through examination.
机译:在台湾921次地震之后,人们对地震造成了极大的恐惧。在地震中的灾害特征方面,伤亡是由破损和建筑物的崩溃引起的。建筑物抵抗地震的能力成为地震预防的根本要求。影响建筑物抵抗地震能力的因素可以分为二:自然环境的特征和建筑本身的特征。二进制回归方法用于构建地震灾害中建筑物危险的预测模型,并通过模型中的系数区分建筑物损坏与建筑物的特征之间的关系。在这项研究中,符合GI-GI地震的建筑损伤记录,九因素,即建筑物与河流之间的距离,土壤厚度,建筑物的结构,楼层的建筑物数量建筑物的年龄,建筑物的使用,建筑物的平面配置,任何天窗和屋顶上的任何叠印的情况,都在逻辑回归模型中确定,以及这些因素与等级之间的关系建筑物损坏也被模型分析。在模型应用的方面,本研究选择了台南市东部的部分地区,提供了类似的环境条件,计算危险概率并将这些转变为安全,危险和崩溃的建筑预测。通过审查证明了预测结果可信度和有效。

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