Earthquake Damage Detection in Buildings and Early Warning Based on Wave Travel Times
基于波传播时间的建筑物震害检测与预警
基本信息
- 批准号:0800399
- 负责人:
- 金额:$ 21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-08-01 至 2011-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Abstract 0800399The objective of this project is to develop a novel methodology for remote structural health monitoring that is robust when applied to actual structures and large amplitude response, and is calibrated using data from full-scale structures. The focus of this project will be on buildings. The methodology is based on detecting changes in travel time of seismic waves propagating through the structure, that have been radiated by a virtual source created by de-convolution of recorded vibration response. The methodology will be calibrated using earthquake records from full-scale buildings that have been damaged or could have been damaged by an earthquake. Further, the effectiveness of this methodology for general condition monitoring will be explored. The major advantages of this wave-based method are that it can localize the damage with relatively small number of sensors, and that it is not sensitive to the effects of soil-structure interaction and changes in other structural boundary conditions.The availability of a validated methodology that works with real structures and field data will greatly facilitate the decision making during emergency response and recovery following an earthquake, and will help reduce loss of life, injuries and monetary losses caused by earthquakes. For example, a timely decision to evacuate an unsafe building will reduce the risk of loss of life and injuries caused by potential collapse of the weakened structure by its shaking from the aftershocks. The methodology, with capability for general condition monitoring of structures, will be a useful tool in managing the aging infrastructure. The results of this project will be broadly publicized and reported in technical journals for information dissemination. The project will also enhance the educational infrastructure of the nation by training a graduate student working on her/his Ph.D. thesis.
摘要0800399该项目的目的是开发一种新型的方法,用于远程结构健康监测,该方法在应用于实际结构和较大振幅响应时是可靠的,并使用来自全尺度结构的数据进行校准。 该项目的重点将放在建筑物上。该方法基于检测到通过结构传播的地震波的行进时间的变化,这些变化是由于记录的振动响应的偏置卷积所产生的虚拟来源所辐射的。 该方法将使用来自全面建筑物的地震记录进行校准,这些建筑物已损坏或可能被地震损坏。 此外,将探讨该方法对一般状况监测的有效性。 这种基于波浪的方法的主要优点是,它可以用相对较少的传感器定位损坏,并且对土壤结构相互作用的影响和其他结构边界条件的变化不敏感。与实际结构和现场数据一起使用的方法将极大地促进地震后紧急响应和恢复期间的决策,并有助于减少地震造成的生命损失,伤害和货币损失。 例如,及时撤离不安全建筑物的及时决定将降低由于后余的震动而导致结构潜在崩溃所造成的生命损失和伤害的风险。 具有结构性监测能力的方法将是管理老化基础架构的有用工具。该项目的结果将在技术期刊上广泛宣传和报告,以进行信息传播。 该项目还将通过培训从事她/他的博士学位的研究生来增强国家的教育基础设施。论文。
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)
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Maria Todorovska其他文献
Maria Todorovska的其他文献
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{{ truncateString('Maria Todorovska', 18)}}的其他基金
Workshop: International Travel Grant for U.S. Team to Attend 4th UJNR Workshop on Soil Structure Interaction (March 2007, Tsukuba, Japan)
研讨会:为美国团队参加第四届 UJNR 土壤结构相互作用研讨会提供国际旅费补助(2007 年 3 月,日本筑波)
- 批准号:
0712053 - 财政年份:2007
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
The Third United States - Japan Natural Resources (UJNR) Workshop on Soil-Structure Interaction
第三届美国-日本自然资源(UJNR)土壤-结构相互作用研讨会
- 批准号:
0336939 - 财政年份:2003
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
Continuing Support for the Operation of the Los Angeles Strong Motion Array
继续支持洛杉矶强震动阵列的运行
- 批准号:
0301650 - 财政年份:2003
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
POWRE: Wavelets Applications to Seimic Response Studies
POWRE:小波在地震响应研究中的应用
- 批准号:
0075070 - 财政年份:2000
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
Los Angeles Strong Motion Array-Field Maintenance
洛杉矶强动阵列现场维护
- 批准号:
9812721 - 财政年份:1999
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
Los Angeles Strong Motion Array - Field Maintenance
洛杉矶强震阵列 - 现场维护
- 批准号:
9617085 - 财政年份:1997
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
Digitization and Processing of Data Recorded by the Los Angeles Strong Motion Network During the Northridge, CA, Earthquake of 17 January, 1994 and its Aftershocks
1994 年 1 月 17 日加利福尼亚州北岭地震及其余震期间洛杉矶强震网络记录的数据的数字化和处理
- 批准号:
9416761 - 财政年份:1994
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
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