RAPID: Collection of Perishable Data on Wind- and Surge-Induced Residential Building Damage in Texas during 2017 Hurricane Harvey

RAPID:收集 2017 年飓风哈维期间德克萨斯州风和浪涌引起的住宅建筑损坏的易腐数据

基本信息

  • 批准号:
    1759996
  • 负责人:
  • 金额:
    $ 3.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-10-01 至 2018-09-30
  • 项目状态:
    已结题

项目摘要

Windstorms and associated hazards, such as storm surge, routinely cause the most building damage of any natural hazard in the United States. To mitigate this damage, it is important to understand the relationship between wind speed and its characteristics and the resulting building damage. On 25 August 2017, Hurricane Harvey struck the coast of Texas as a Category 4 hurricane with a rare combination of high wind speeds and significant storm surge. Preliminary reconnaissance showed that residential building performance in coastal communities in Texas exposed to the brunt of Hurricane Harvey's impacts was highly variable, even for similar building types that should have experienced similar wind speeds and storm surge levels. This variability demonstrates gaps in the fundamental knowledge of the relationship between hurricane hazards and building damage. This Grant for Rapid Response Research (RAPID) will support field data collection on residential building performance during Hurricane Harvey in order to fill these gaps by formally evaluating the hurricane hazard-to-building damage relationship through direct observation. A better understanding of the hazard-to-damage relationship and the factors that influence it can be used to advance hurricane-resistant building design methodologies and society's resilience to windstorms. All data acquired during the field work will be shared with the engineering research community through the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI) Data Depot available at https://www.designsafe-ci.org. The collected building performance data, matched with wind speed observations or estimates, will provide a library of engineering case studies for use in the classroom to educate the next generation of engineers and architects on the impacts of hurricanes on buildings.Current building design and damage prediction methods assume that windstorm damage is primarily a function of standardized wind speed magnitude, local terrain, and building characteristics, implicitly ignoring any potential differences between extreme wind event types for the same given wind speed, and any effects from potentially coexisting hazards such as storm surge. The goals of this RAPID project are to 1) collect a representative, spatially-referenced database of residential building performance during Hurricane Harvey, 2) develop hurricane fragility functions for wind based on the field data collected, and 3) establish a framework for evaluating the effects of enhanced hazard conditions, such as storm surge or mesovortices within the hurricane eyewall, in addition to high winds, and other extreme wind events such as tornadoes, on the wind-to-damage relationship. Residential building damage data will be collected, from major areas with significant building stock along the impacted Texas coastline, by a team of researchers and graduate students from Auburn University, University of Illinois at Urbana-Champaign, and University of Maryland. A guided cluster sampling approach over a large spatial area will be used to conduct detailed, ground-based surveys of single-family residential structures with geo-tagged photographs and field notes. The collected data will include the damage ratios for all major building components, characteristics of the building such as construction material and number of stories, and any evidence that could be used to estimate wind speed or storm surge height. The fragility functions developed from the empirical data will be used to facilitate the comparisons between wind-to-damage relationships, demonstrating differences in expected building performance during wind-only, wind and storm surge, and tornado events.
在美国,风暴和风暴潮等相关灾害通常造成的建筑物破坏是所有自然灾害中最严重的。为了减轻这种破坏,重要的是要了解风速及其特性与建筑物破坏之间的关系。 2017年8月25日,飓风哈维以四级飓风强度袭击德克萨斯州海岸,并伴有罕见的高风速和显著的风暴潮。 初步调查显示,德克萨斯州沿海社区的住宅建筑性能受到飓风哈维的冲击,即使是应该经历类似风速和风暴潮水平的类似建筑类型也存在很大差异。这种变化表明,在飓风灾害和建筑物损坏之间的关系的基本知识的差距。该快速反应研究(RAPID)拨款将支持在哈维飓风期间收集有关住宅建筑性能的现场数据,以通过直接观察正式评估飓风灾害与建筑物损坏的关系来填补这些空白。更好地了解灾害与损害的关系及其影响因素,可用于推进抗飓风建筑设计方法和社会对风暴的适应能力。现场工作期间获得的所有数据将通过NSF支持的自然灾害工程研究基础设施(NHERI)数据库与工程研究界共享,该数据库可在www.example.com上获得https://www.designsafe-ci.org。收集的建筑性能数据与风速观测或估计相匹配,将提供一个工程案例研究库,供课堂使用,以教育下一代工程师和建筑师对当前的建筑物设计和损坏预测方法假设风暴损坏主要是标准化风速大小、局部地形和建筑物特性的函数,隐含地忽略了对于相同给定风速的极端风事件类型之间的任何潜在差异,以及来自潜在共存危险(例如风暴潮)的任何影响。 该RAPID项目的目标是:1)收集哈维飓风期间住宅建筑性能的代表性空间参考数据库,2)根据收集的现场数据开发风的飓风脆弱性函数,以及3)建立评估增强灾害条件影响的框架,例如风暴潮或飓风眼墙内的中涡旋,以及强风,和其他极端风事件,如龙卷风,对风灾的关系。 来自奥本大学、伊利诺伊大学厄巴纳-香槟分校和马里兰州大学的研究人员和研究生团队将从受影响的德克萨斯州海岸线沿着拥有大量建筑物的主要地区收集住宅建筑损坏数据。将在一个大的空间区域内采用有指导的整群抽样方法,对单户住宅结构进行详细的地面调查,并附有地理标记的照片和实地说明。收集的数据将包括所有主要建筑构件的损坏率,建筑物的特征,如建筑材料和层数,以及任何可用于估计风速或风暴潮高度的证据。从经验数据开发的脆弱性函数将被用来促进风之间的比较损坏的关系,表明在风,风和风暴潮,龙卷风事件期间预期的建筑物性能的差异。

项目成果

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David Roueche其他文献

Structural performance of self-tapping screws for use in steel-CLT composite members
用于钢-CLT 复合构件的自攻螺钉的结构性能
  • DOI:
    10.1016/j.engstruct.2025.120652
  • 发表时间:
    2025-10-01
  • 期刊:
  • 影响因子:
    6.400
  • 作者:
    Hugh Merryday;Kadir Sener;David Roueche
  • 通讯作者:
    David Roueche

David Roueche的其他文献

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{{ truncateString('David Roueche', 18)}}的其他基金

Reconstruction of Four-Dimensional Near-Surface Wind Characteristics from Debris and Damage Attributes using Computer Vision
利用计算机视觉从碎片和损伤属性重建四维近地表风特性
  • 批准号:
    2053935
  • 财政年份:
    2021
  • 资助金额:
    $ 3.99万
  • 项目类别:
    Standard Grant
CAREER: Theory-Guided Statistical Framework for Advancing Learning from Post-Windstorm Engineering Assessments
职业:理论指导的统计框架,促进风暴后工程评估的学习
  • 批准号:
    1944149
  • 财政年份:
    2020
  • 资助金额:
    $ 3.99万
  • 项目类别:
    Standard Grant

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