RAPID/Collaborative Research: Post-Disaster, Reinforced Concrete Building Performance Data Collection following the April 25, 2015 Nepal Earthquake
RAPID/协作研究:2015 年 4 月 25 日尼泊尔地震后的灾后钢筋混凝土建筑性能数据收集
基本信息
- 批准号:1545632
- 负责人:
- 金额:$ 5.73万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-07-01 至 2016-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The magnitude 7.8 Ghorka, Nepal earthquake that occurred on April 25, 2015, and the many aftershocks that followed significantly affected Nepal, causing significant human loss as well as widespread structural damage and ground failure. The building stock in the affected regions predominantly consists of poorly engineered unreinforced masonry buildings. However, approximately 25 per cent of the buildings consist of reinforced concrete (RC) frames infilled with masonry walls. This structural system was widely used in the 1920s and 1930s in California as well as in the Pacific Northwest; hence, understanding the damage to this structural system from the Nepal earthquake has direct implications for the seismic performance of a large number of buildings in metropolitan areas in the United States. This rapid response research will focus on post-earthquake assessment of existing RC building frames with masonry infill in Nepal. A team of three researchers and three graduate students will travel to Nepal to collect perishable field data and perform detailed assessments of the seismic performance of 25-30 buildings. The team will acquire, process, and archive architectural and structural data, including building drawings, in residential buildings and critical facilities such as schools and hospitals. The data will be obtained through visual inspections and geo-referenced, three-dimensional (3D), ground-based Lidar scans and Structure from Motion, i.e., 3D reconstructions from two-dimensional photographs, thus providing detailed, quantitative damage measurements. This collected data will be made publicly available to enable future research to advance computational modeling and structural analysis for understanding the seismic performance of RC frame with masonry infill buildings. This collected data will provide new earthquake reconnaissance case studies of RC frame with infill buildings and will be used to evaluate current U.S. guidelines for assessment of existing structures. Moreover, it will serve to inform local rebuilding and recovery efforts in Nepal though close collaboration with local agencies in Nepal. The research team will collaborate with researchers and practicing engineers from Italy, Nepal, and Portugal. This project will also provide foreign research experiences for graduate students and further strengthen ties among the engineering research communities in the United States, Nepal, and European Union.
2015年4月25日发生的7.8 Ghorka,尼泊尔地震发生,许多余震发生了显着影响尼泊尔,造成了严重的人类损失以及广泛的结构损害和地面故障。受影响地区的建筑库存主要由工程较差的未增强砌体建筑组成。但是,大约25%的建筑物由钢筋混凝土(RC)框架组成,上面充满了砌体墙。 这种结构系统在1920年代和1930年代在加利福尼亚以及西北太平洋地区广泛使用。因此,了解尼泊尔地震对这种结构系统的破坏对美国大都会地区许多建筑物的地震性能有直接的影响。这项快速响应研究将重点介绍尼泊尔砖石填充物对现有RC建筑物框架的地震评估。由三名研究人员和三名研究生组成的团队将前往尼泊尔收集可腐烂的现场数据,并对25-30座建筑物的地震表现进行详细评估。该团队将在住宅建筑以及学校和医院等关键设施中获取,处理和存档的建筑和结构数据,包括建筑图纸。数据将通过视觉检查和地理参考,三维(3D),基于地面的激光扫描和运动的结构,即来自二维照片的3D重建,从而提供了详细的定量损害测量值。 该收集的数据将公开使用,以使未来的研究能够推进计算建模和结构分析,以了解使用砖石填充建筑物的RC框架的地震性能。该收集的数据将提供带有填充建筑物的RC框架的新地震侦察案例研究,并将用于评估美国当前的评估现有结构指南。此外,它将为尼泊尔与尼泊尔当地机构的密切合作提供当地的重建和恢复工作。研究团队将与来自意大利,尼泊尔和葡萄牙的研究人员和执业工程师合作。 该项目还将为研究生提供外国研究经验,并在美国,尼泊尔和欧盟的工程研究社区之间进一步加强联系。
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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Andre Barbosa其他文献
Tu1341 - Histopathological Findings and <em>Helicobacter Pylori</em> Infection in Sleeve Gastrectomy
- DOI:
10.1016/s0016-5085(18)34400-7 - 发表时间:
2018-05-01 - 期刊:
- 影响因子:
- 作者:
Maira Xavier;Joao Batista Souza;Reynaldo Quinino;Andre Barbosa;Igor Pinto;Daniel Coelho;Mirella Freitas;Brunna Neves - 通讯作者:
Brunna Neves
Andre Barbosa的其他文献
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{{ truncateString('Andre Barbosa', 18)}}的其他基金
Collaborative Research: Converging Design Methodology: Multi-objective Optimization of Resilient Structural Spines
合作研究:融合设计方法:弹性结构脊柱的多目标优化
- 批准号:
2120683 - 财政年份:2021
- 资助金额:
$ 5.73万 - 项目类别:
Standard Grant
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