RAPID/Collaborative Research: Investigation of Reinforced Concrete Buildings Damaged in the Magnitude 6.4 Southern Taiwan Earthquake of February 2016
RAPID/合作研究:2016 年 2 月台湾南部 6.4 级地震中受损的钢筋混凝土建筑调查
基本信息
- 批准号:1637169
- 负责人:
- 金额:$ 2.59万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-04-15 至 2017-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The magnitude 6.4 southern Taiwan earthquake occurred near the city of Tainan, Taiwan, on February 5, 2016, causing severe damage, partial collapse, and full collapse of low-to-midrise reinforced concrete buildings. While the measures of ground motion intensity would have indicated moderate structural damage, instead ten reinforced concrete buildings collapsed and hundreds more have been reported to have severe damage as a consequence of the earthquake. This damage was surprising because Taiwan has made considerable investments into earthquake research, regulations, enforcement, and strengthening. To understand this discrepancy in reinforced concrete building performance, this Grant for Rapid Response Research (RAPID) will fund a team of researchers from the United States to travel to Taiwan to work with Taiwanese researchers to gather detailed building response data, including the observed damage and properties of building structures in quantifiable terms. Both damaged and undamaged buildings will be surveyed to produce a comprehensive data set that can be used to test hypotheses on causes of damage. The data set will be used to: (1) understand causes of building collapse, (2) identify building properties that increase probability of structural damage, (3) identify vulnerable structures in seismic areas, in particular older structures built prior to modern seismic design codes, and (4) study the relationship of the site response and building damage. Because Taiwan has adopted seismic design methodologies similar to those in the United States, this data set also will help improve understanding of the seismic vulnerability of reinforced concrete buildings in the United States. The U.S. team will work with researchers from Taiwan's National Center for Research in Earthquake Engineering and National Cheng Kung University to gather data from 100 to 150 buildings affected by this earthquake. For each surveyed building, collected information will include: structural damage, geotechnical damage, structural configuration, key dimensions, building drawings, year of building code used for design, material properties, and for selected buildings, high-resolution image sequences to produce digital damage maps that can be used to quantify damage and performance in clear terms. Breaking with common practice, the team will survey both damaged and undamaged buildings, as well as retrofitted buildings. The project will produce a comprehensive data set, including information on ground motion (Taiwan has one of the densest networks of accelerometers in the world), geotechnical information, structural information, and observed performance. The data set will enable detailed engineering studies of specific buildings and sites. In total, the data set will form a "testbed" to: (1) evaluate state-of-the-art methodologies used to evaluate building vulnerability, including vulnerability to collapse, (2) develop new damage indicators for rapid screening of the built infrastructure, and (3) evaluate the effectiveness of retrofit strategies. The data set will be archived in the data repository on the DesignSafe-CI.org web site for broad use by researchers, educators, and the practicing engineering community in the United States, Taiwan, and other countries. This project will also train graduate students in post-earthquake field data collection and data archiving and curation.
台湾南部地震的6.4级发生在台湾的塔南市附近,2016年2月5日,造成严重损害,部分崩溃以及低到中间的混凝土建筑物的完全崩溃。 虽然地面运动强度的度量将表明中度结构损害,但据报道,由于地震,十层钢筋混凝土建筑物崩溃了,数百个造成了严重损害。这种损害令人惊讶,因为台湾已经对地震研究,法规,执法和加强进行了大量投资。为了了解这一在钢筋混凝土建筑绩效中的差异,这项用于快速响应研究的赠款(Rapid)将资助来自美国的研究人员团队,前往台湾与台湾研究人员合作,以收集详细的建筑响应数据,包括可量化的术语建筑结构的损害和属性。 损坏和未损坏的建筑物都将进行调查,以生成一个全面的数据集,该数据集可用于检验有关损坏原因的假设。数据集将用于:(1)了解建筑物崩溃的原因,(2)确定建筑特性,以增加结构性损害的可能性,(3)确定地震区域中的脆弱结构,尤其是在现代地震设计代码之前建造的较旧结构,以及(4)研究现场响应和建筑物损害的关系。 由于台湾采用了与美国类似的地震设计方法,因此该数据集还将有助于提高对美国增强混凝土建筑物的地震脆弱性的理解。美国团队将与台湾国家地震工程研究中心和国立郑大学国家研究中心的研究人员合作,收集受这次地震影响的100到150座建筑物的数据。 对于每个被调查的建筑物,收集的信息将包括:结构损坏,岩土损坏,结构配置,关键维度,建筑图纸,用于设计的建筑代码,材料特性和所选建筑物的建筑代码,高分辨率图像序列,用于产生可用于清晰量化损害和绩效的数字损害图。 通过共同的实践,团队将调查损坏和未损坏的建筑物以及改造的建筑物。该项目将产生全面的数据集,包括有关地面运动的信息(台湾拥有世界上最密集的加速度计网络之一),岩土技术信息,结构信息和观察到的性能。 数据集将实现特定建筑物和站点的详细工程研究。 总共,数据集将形成一个“测试床”:(1)评估用于评估建筑脆弱性的最新方法,包括崩溃的脆弱性,(2)开发新的损害指标,以快速筛选构建基础设施,以及(3)评估翻新策略的有效性。数据集将在DesignSafe-CI.org网站的数据存储库中存档,以供研究人员,教育工作者和美国,台湾和其他国家的实践工程社区广泛使用。 该项目还将培训研究生的毕业后现场数据收集以及数据归档和策展。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Dawn Lehman其他文献
A constitutive model for confined concrete in slender rectangular RC sections incorporating compressive energy
- DOI:
10.1016/j.conbuildmat.2018.10.138 - 发表时间:
2018-12-30 - 期刊:
- 影响因子:
- 作者:
Travis Welt;Dawn Lehman;Laura Lowes;James LaFave - 通讯作者:
James LaFave
Dawn Lehman的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Dawn Lehman', 18)}}的其他基金
Vertical Evacuation Structures Subjected to Sequential Earthquake and Tsunami Loadings
承受连续地震和海啸荷载的垂直疏散结构
- 批准号:
1726326 - 财政年份:2017
- 资助金额:
$ 2.59万 - 项目类别:
Standard Grant
MRI: Acquisition of Equipment to Simulate Collapse of Engineered Systems under Extreme Loads
MRI:采购模拟工程系统在极端负载下崩溃的设备
- 批准号:
0723064 - 财政年份:2007
- 资助金额:
$ 2.59万 - 项目类别:
Standard Grant
相似国自然基金
临时团队协作历史对协作主动行为的影响研究:基于社会网络视角
- 批准号:72302101
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
在线医疗团队协作模式与绩效提升策略研究
- 批准号:72371111
- 批准年份:2023
- 资助金额:41 万元
- 项目类别:面上项目
数智背景下的团队人力资本层级结构类型、团队协作过程与团队效能结果之间关系的研究
- 批准号:72372084
- 批准年份:2023
- 资助金额:40 万元
- 项目类别:面上项目
A-型结晶抗性淀粉调控肠道细菌协作产丁酸机制研究
- 批准号:32302064
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
面向人机接触式协同作业的协作机器人交互控制方法研究
- 批准号:62373044
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Unlocking the evolutionary history of Schiedea (carnation family, Caryophyllaceae): rapid radiation of an endemic plant genus in the Hawaiian Islands
合作研究:解开石竹科(石竹科)石竹的进化史:夏威夷群岛特有植物属的快速辐射
- 批准号:
2426560 - 财政年份:2024
- 资助金额:
$ 2.59万 - 项目类别:
Standard Grant
RAPID: Reimagining a collaborative future: engaging community with the Andrews Forest Research Program
RAPID:重新构想协作未来:让社区参与安德鲁斯森林研究计划
- 批准号:
2409274 - 财政年份:2024
- 资助金额:
$ 2.59万 - 项目类别:
Standard Grant
Collaborative Research: RAPID: A perfect storm: will the double-impact of 2023/24 El Nino drought and forest degradation induce a local tipping-point onset in the eastern Amazon?
合作研究:RAPID:一场完美风暴:2023/24厄尔尼诺干旱和森林退化的双重影响是否会导致亚马逊东部地区出现局部临界点?
- 批准号:
2403883 - 财政年份:2024
- 资助金额:
$ 2.59万 - 项目类别:
Standard Grant
Collaborative Research: RAPID: Investigating the magnitude and timing of post-fire sediment transport in the Texas Panhandle
合作研究:RAPID:调查德克萨斯州狭长地带火灾后沉积物迁移的程度和时间
- 批准号:
2425431 - 财政年份:2024
- 资助金额:
$ 2.59万 - 项目类别:
Standard Grant
RAPID: Collaborative Research: Multifaceted Data Collection on the Aftermath of the March 26, 2024 Francis Scott Key Bridge Collapse in the DC-Maryland-Virginia Area
RAPID:协作研究:2024 年 3 月 26 日 DC-马里兰-弗吉尼亚地区 Francis Scott Key 大桥倒塌事故后果的多方面数据收集
- 批准号:
2427233 - 财政年份:2024
- 资助金额:
$ 2.59万 - 项目类别:
Standard Grant