RAPID/Collaborative Research: Multi-Platform 3-D Data Preservation of Tornado Damage to Engineered Structures in Texas during November 16-17, 2015

RAPID/协作研究：2015 年 11 月 16 日至 17 日期间德克萨斯州工程结构龙卷风损坏的多平台 3D 数据保存

• 批准号: 1623752
• 负责人: Douglas Smith
• 金额: $ 0.68万
• 依托单位: Texas Tech University
• 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: 2016-03-15 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1623752&HistoricalAwards=false
• 关键词: RAPID; Collaborative; Research; Multi; Platform

During November 16-17, 2015, a rare tornado outbreak produced at least 17 tornadoes in Texas, Oklahoma, and Kansas, including an Enhanced Fujita (EF) EF3 tornado, which damaged a group of engineered structures at an oilfield services facility near Pampa, Texas and nearby engineered center-pivot irrigation system structures. Structural resistances for these structures can be estimated, enabling the estimation of tornado wind speeds associated with the damage. This Rapid Response Research (RAPID) project will investigate tornado wind structure and estimated wind speeds through three-dimensional (3-D), digital data preservation of the tornado damage to the oilfield facility and irrigation system structures. Preservation of this 3-D structural damage data will enable future researchers to validate wind-damage prediction models, via physical modeling, computer modeling, and other predictive damage modeling (for example, loss estimation and risk assessment modeling). Using a suite of remote-sensing data collection methods, the project team will rapidly collect high-resolution, 3-D structural damage data through photography and photogrammetry, laser scanning, unmanned aerial vehicle visual imaging, and satellite imaging. The data collected from this project can serve as the basis for collaborative, multi-disciplinary studies emphasizing the accurate and highly detailed preservation of structural damage from tornadoes, heightened understanding of the complex wind structures of tornadoes, validation or refinement of tornado wind speed estimates, and development of more resilient infrastructure. Undergraduate students will participate in data collection and then use this data to collaborate on future research alongside graduate students and faculty researchers from three institutions, thus training future leaders in the mitigation of natural hazards damage.

在2015年11月16日至17日，一次罕见的龙卷风爆发在德克萨斯州，俄克拉荷马州和堪萨斯州至少生产了17次龙卷风，其中包括增强的富士（EF）EF3龙卷风，损坏了在Pampa，Texas和Bampa Engine Centered Centered Center-Center-Center-Piv System Systems Insteruction的油田服务机构的一组工程结构。 可以估算这些结构的结构电阻，从而估计与损坏相关的龙卷风风速。 这项快速响应研究（快速）项目将通过三维（3-D），数字数据保存龙卷风损坏对油田设施和灌溉系统结构的数字数据保存，调查龙卷风风结构和估计风速。 保留此3D结构损伤数据将使未来的研究人员通过物理建模，计算机建模和其他预测损害建模（例如，损失估算和风险评估建模）来验证风损伤预测模型。 使用一组遥感数据收集方法，项目团队将通过摄影和摄影测量，激光扫描，无人驾驶飞机视觉成像和卫星成像来迅速收集高分辨率，3D结构损伤数据。 从该项目中收集的数据可以作为协作，多学科研究的基础，强调了龙卷风对龙卷风的准确保存，对龙卷风的复杂风结构的了解，验证或对龙卷风风速估算的核对以及更高的弹性基础结构的发展，增强了对龙卷风的复杂风结构的了解。 本科生将参与数据收集，然后使用此数据与来自三个机构的研究生和教师研究人员一起在未来的研究中进行合作，从而培训未来的领导者减轻自然危害损害。