共查询到17条相似文献，搜索用时 109 毫秒
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群体建筑物量大面广,为了简化群体建筑物震害预测的工作,采用类比预测法对群体建筑物震害进行了预测.从城市建筑中选取具有典型破坏特征的建筑物作为样本,通过建筑物结构类型、高度、建设年代、现状质量和用途作为震害影响因子进行震害类比预测.建立规划区内建筑物易损性矩阵.最后以宁德市为例,利用本文方法给出了宁德市建筑物的易损性矩阵... 相似文献
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基于时间因素(材料内部作用、荷载作用和环境影响)和事件因素中的地震因素和抗震加固,通过结构可靠度理论研究和结构材料与构件的试验分析,结合现有的结构动态抗力函数以及不同极限破坏状态和结构抗力之间的对应关系,建立结构的动态易损性。研究事件因素中的拆迁和新建对城市建筑结构数量和类型的影响,以及未来城市不同结构类型的变化特点,给出未来城市的动态震害矩阵;研究群体震害矩阵的异地应用和事件因素中拆迁和新建建筑对震害矩阵的影响,在已有震害预测城市的建筑结构基础资料上,应用模糊数学中可信度方法,形成目标城市的动态震害矩阵,有利于进行结构的抗震设防和地震风险分析。 相似文献
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基于已有震害矩阵模拟的群体震害预测方法研究 总被引：1，自引：6，他引：1
本文提出了一种群体震害预测方法，根据已有建筑物震害预测结果或震害统计分析结果，按照影响建筑物抗震能力的主要因素，由普查资料统计出的建筑物各影响因素的建筑面积比例得出模拟震害矩阵与已知矩阵的贴近度，最后进行加权平均，建立具体预测对象群体建筑物的震害矩阵。 相似文献
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本文在进行冕宁县建筑物普查和建筑物抗震性能抽样调查的基础上,采用建筑物单体及群体震害概率预测方法,对冕宁县进行震害预测,给出了50年内各镇及广大农村的建筑震害预测结果,为该县防震减灾提供了科学的依据。 相似文献
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通过对多层砖房的普查和抽样调查取得的原始资料,用多层砖房震害预测方法和软件进行易损性分析,给出重要房屋单体震害预测结果和群体房屋的易损性矩阵． 相似文献
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科学地预测城市建筑物震害易损性,以此来分析城市防灾的薄弱环节,是预防及减轻地震损失的关键步骤。惠州建筑物普查结果中,少数抽样建筑物有详细图纸,可以进行具体的震害计算,多数建筑物无详细图纸,尚无合适的精确计算模型。文中对有详细图纸的砖混建筑进行了震害指数计算,根据普查数据表识别并量化了震害影响指标,进而建立了样本库以及基于KPCA和GA_LSSVR的预测模型。在此基础上,对无详细图纸的砖混建筑进行了震害指数预测,得到了惠州区域砖混建筑物的震害易损性矩阵。该预测模型利用KPCA对建筑物震害影响因素进行特征提取,并用LSSVR来对建筑物震害指数进行回归预测,利用GA对LSSVR中的相关参数进行寻优,其可用性和有效性均在文中有所验证。 相似文献
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桥梁群体震害预测方法的研究 总被引：1，自引：0，他引：1
本文研究了桥梁群体震害预测方法的理论，并采用模糊数学、灰色系统理论和概率分析方法，建立了中、小型桥梁群体震害预测的数学模型，在对江南一带城市地震震害预测工作中桥梁抽样单体震害预测经验法的计算基础上，给出了公路桥梁在不同地震烈度影响耻的单因素评价矩阵，为区域性的地震震害预测工作提供了一个有力的实用工具。 相似文献
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提出了一种通过构建具有普适性的概率模型对群体建筑物进行震害预测的方法。该方法基于已有的群体建筑物易损性矩阵,通过概率分析和数据拟合,进行构建建筑群的破坏概率模型,并通过计算建筑物易损性指数的均值和方差来确定其具体参数。分析表明,该概率模型对群体建筑物震害预测具有一定的可行性和普遍的适用性。 相似文献
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汶川地震高烈度区城镇房屋震害简介 总被引：26，自引：7，他引：19
汶川8.0级大地震宏观震中地震烈度高达X I度,造成大量房屋结构破坏和倒塌,本文介绍了极震区以及周边高烈度区内部分城镇房屋的典型震害,并给出这些城镇中砖混和底框架多层结构主要破坏等级的比例,同时对某些震害特征和相应的抗震问题进行了简要讨论。 相似文献
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多因素影响的建筑物群体震害预测方法研究 总被引：2，自引：1，他引：1
为了简化震害预测工作,提出了一种多因素影响的建筑物群体震害预测方法。首先,将已有数据库中的资料按不同相似度进行分类,从中选取所需要的样本数据。然后将所选取的样本数据按不同影响因素分类,分别求出考虑各影响因子下的震害矩阵,再由房屋普查资料得出预测区考虑各影响因素时各影响因子下的房屋的建筑面积,并将建筑面积比例作为各影响因子的权重,最终得出预测区某种结构类型整体的震害矩阵。利用文中方法建立了厦门市多层砌体结构的震害矩阵,与厦门市采用单体抽样法得出的震害矩阵相比较,其平均震害指数最大差值不大于0.041,验证了此方法的可行性。 相似文献
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A PRELIMINARY STUDY ON THE METHOD OF SEISMIC INTENSITY ASSESSMENT BASED ON RESIDENTIAL BUILDING DATA AND HIGH RESOLUTION REMOTE SENSING IMAGES 
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下载免费PDF全文 After destructive earthquakes, the assessment result of seismic intensity is an important decision-making basis for emergency rescue, recovery and reconstruction. This job requires higher timeliness by government and society. Because remote sensing technology is not affected by the terrible traffic conditions on the ground after the earthquake, large-scale seismic damage information in the earthquake area can be collected in a short time by the remote sensing image. The remote sensing technique plays a more and more important role in rapid acquisition of seismic damage information, emergency rescue decision-making, seismic intensity assessment and other work. On the basis of previous studies, this paper proposes a new method to assess seismic intensity by using remote sensing image, i.e. to interpret the building collapse rate of a residential quarter after an earthquake by high-resolution remote sensing images. If there already are detailed building data and building structure vulnerability matrix data of a residential area, we can calculate the building collapse rate under any intensity values in this residential area by using the theory of earthquake damage prediction. Assuming that the building collapse rate interpreted by remote sensing is equal to the building collapse rate predicted by using the existing data, it will be easy to calculate the actual seismic intensity of the residential area in this earthquake event. Based on this idea, according to the relevant standard specifications issued by China Earthquake Administration, this paper puts forward some functional models, such as the calculation model of building collapse rate based on remote sensing, the data matrix model of residential building structure, the prediction function matrix model of residential building collapse rate and the prediction model of residential building collapse rate. A formula for calculating seismic intensity by using remote sensing interpretation of collapse rate is also proposed. To test and verify the proposed method, this paper takes two neighboring blocks of Jiegu Town after the Yushu M7.1 earthquake in Qinghai Province as an example. The building structure matrix of the study block was constructed by using pre-earthquake 0.6m resolution satellite remote sensing image(QuickBird, acquired on November 6, 2004), post-earthquake 0.2m aerial remote sensing image(acquired by National Bureau of Surveying and Mapping, April 15, 2010) and some field investigation data. The building collapse rate in the two blocks was calculated by using the interpretation results of seismic damage from the Remote Sensing Technology Coordinating Group of China Seismological Bureau. The seismic damage matrix of building structures in Yushu area is constructed by using the abundant scientific data of the scientific investigation team of the project “Comprehensive Scientific Investigation of the Yushu M7.1 Earthquake in Qinghai Province” of China Seismological Bureau. On this basis, the collapse rate prediction function of different structures in Yushu area is constructed. According to the prediction function of collapse rate and the building structure matrix of the two blocks, the building collapse rate under different intensity values is predicted, and the curve of intensity-collapse rate function is drawn. By comparing the building collapse rate interpreted by remote sensing and the intensity-collapse rate function curve of this two blocks, the seismic intensity of both blocks are calculated to be the same value: Ⅸ degree, which is consistent with the results of the field scientific investigation of the earthquake. The validation shows that the method proposed in this paper can effectively avoid the influence caused by the difference of seismic performance of buildings and accurately evaluate seismic intensity when using remote sensing technique. The method has certain application value for earthquake emergency work. 相似文献