Database Construction and Data Mining for Uncovering the Mechanism of Human Injury in Seismic Damage Buildings

揭示震害建筑人体伤害机制的数据库建设与数据挖掘

基本信息

批准号：
14404008
负责人：
OKADA Shigeyuki
金额：
$ 5.31万
依托单位：
Hokkaido University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2004
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-14404008/
关键词：
Human casualty Building damage pattern Disaster medicine Simulation Hyogoken-Nanbu earthauake Bam, Iran, earthquake Geographical Information System Detabase イベントツリー解析

项目摘要

(1)Research backgroundTo uncover the mechanism of human injury in buildings damaged by devastating earthquakes is indispensable to the fundamental resolution for prevention of the occurrence of deceased. However, conventional studies formulate the death toll estimation directly from the number of building collapses. Such ridiculous situation would be caused by the fact that there has been no contact in the research field between building structural engineers and disaster medical researchers, and they have been advancing the research under the independent organization each other.(2)Objectives of the projectIn order to interdisciplinary discuss the latest results of the research of the earthquake engineering and the disaster medicine. By the application of regression analysis and some statistical work to the database the study secondly tries to propose the death toll estimation model that runs to concrete measures for the human damage reduction. In this project treats the 2004 Barn Earth … More quake in Iran as an earthquake with masonry structure collapse, the 1999 Kocaeri Earthquake in Turkey as an earthquake with RC structure collapse, and the 1995 Kobe Earthquake in Japan as an earthquake with wooden structure collapse.(3)Implementation of the projectKickoff meeting :To discuss the research plan for 3 years with the researchers in the engineering field and the medical field at the first stage, an interdisciplinary symposium for research exchange was executed by the Japan-U.S.cooperation at the Center for Health Science, the University of Texas. The symposium was held by opening to the public, and the state of the symposium was simultaneously dlelivered to the world through the Internet Web.Construction of database :Based on the discussion in the symposium, the definition of building damage was redefined from the viewpoint of death occurrence in seismic damage building for the purpose of database construction for clarifying the death occurrence mechanism. The new definition was visualized as a pattern chart of building damage. Following the definition, we rebuilt the database from the information about dead and damage to building in the Kocaeri Earthquake and the Kobe Earthquake. In addiiton, we consolidated the database by adding the concerning data which various research organizations had collected.Modeling death toll estimation and its application :We elucidated the death causalities by means of event tree analysis for the Kobe Earthquake's database. On the basis of the result, a causal model following the process to death was proposed. That is to say, the death toll estimation model was constructed in multivariate regression model, in which the structural damage pattern of building can be specified as the result for given earthquake ground motion severities at the first step, the volumetric loss of building can be counted by the spatial damage index at the second step, and then the survival rate of inhabitants entrapped in collapsed building can be calculated at the final step. This model is not only accurate in comparison with the conventional simple models, that the collapse of building regulates the number of killed people, but also applicable to various type of buildings in foreign countries by introducing the index of volumetric loss. In addition, this model can help the decision-making for the optimal triage for search and rescue (SAR) activities as a post countermeasure ; because the survival potential of trapped people in collapsed building is affected strongly by the collapsed pattern of building, and the model can provide the information about the collapsed pattern. Less

（1）研究背景揭示了毁灭性地震破坏的建筑物中人类伤害的机制对于预防死者的基本解决方案是必不可少的。但是，传统研究直接从建筑物数量崩溃的数量中制定了死亡人数估计。这种荒谬的情况将是由于以下事实，即在建设结构工程师和灾难医学研究人员之间没有联系，并且他们一直在互相推进独立组织下的研究。（2）Projectin Order命令的目标是跨学科讨论地震工程研究和灾难医学的最新结果。通过将回归分析和一些统计工作应用于数据库的应用，第二个尝试提出了为减少人为损害的具体措施的死亡人数估计模型。在这个项目中，珍贵的2004年谷仓地球……伊朗的地震是砖石结构崩溃的地震，1999年，土耳其的科卡里地震是一场带有RC结构的地震，日本的1995年的Kobe地震崩溃了，作为木质结构的地震，与木质结构崩溃的地震。第一阶段，德克萨斯大学健康科学中心的日本 - U.S.编辑进行了研究交流跨学科研讨会。研讨会是通过向公众开放的，而研讨会的状态仅通过互联网网络简单地传达给了世界。数据库的构造：基于研讨会的讨论，建筑物损害的定义是从地震损害建筑物中死亡损害的目的从数据库构建目的建立死亡发生死亡机制的目的而重新定义的。新定义被视为建筑损坏的模式图表。在定义之后，我们从有关死亡和损害Kocaeri地震和神户地震的建筑物的信息中重建了数据库。在Additon中，我们通过添加各种研究组织收集的有关数据来合并数据库。调整死亡人数估计及其应用：我们通过对科比地震数据库的事件树分析阐明了死亡因果关系。根据结果，提出了死亡过程之后的因果模型。也就是说，死亡人数估计模型是在多元回归模型中构建的，其中可以将建筑物的结构损害模式指定为第一步的给定地震地面运动严重程度的结果，可以在第二步的空间损害索引中计算建筑物的体积损失，然后在汇总的建筑物中的生存速率纳入最终的构建速率。与传统的简单模型相比，该模型不仅是准确的，即建筑物的崩溃调节被杀害人数的数量，而且还适用于外国各种建筑物，通过引入体积损失指数。此外，该模型可以帮助对搜索和救援活动（SAR）活动进行最佳分类的决策，以作为后衡量；因为被困在建筑物中的被困人员的生存潜力受到建筑物崩溃模式的强烈影响，并且该模型可以提供有关倒塌模式的信息。较少的