Collaborative Research: Wave, Surge, and Tsunami Overland Hazard, Loading and Structural Response for Developed Shorelines

合作研究：波浪、浪涌和海啸陆上灾害、荷载和已开发海岸线的结构响应

• 批准号: 1661315
• 负责人: Daniel Cox
• 金额: $ 38.59万
• 依托单位: Oregon State University
• 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: 2017-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1661315&HistoricalAwards=false
• 关键词: Collaborative; Research; Wave; Surge; Tsunami

Inundation from storms like Hurricanes Katrina and Sandy, and the 2011 East Japan tsunami, has caused catastrophic damage to coastal communities. With increasing coastal population, and trillions of dollars of infrastructure at risk, storms and tsunamis will continue to be threats to coastal communities. Improving community resilience to these Inundation Events (IEs) requires an understanding of how they damage buildings. Prediction of structural damage in IEs can be quite difficult along developed shorelines, where some structures may partially shield buildings behind them, reducing damage in ways that are not easily predictable using the existing state-of-the-art. This project will create new tools to predict structural damage from IEs along developed shorelines. The team from the University of Notre Dame, Oregon State University, and the University of Southern California will develop computer-based predictive methods for detailed building damage using laboratory tests and field data to guide development and validate accuracy. These new models will provide increased inundation and damage prediction accuracy, resulting in improved community resilience efforts and more efficient building design. Input from industry and professional standards committees will ensure that these results reach engineering practitioners. Prediction of surge, wave, and tsunami flow transformation over the built and natural environment is essential in determining survival and failure of near-coast structures during Inundation Events. However, unlike earthquake and wind hazards, IE loading and damage often vary strongly at a parcel scale in built-up coastal regions due to the influence of nearby structures on hydrodynamic transformation. Additionally, IE hydrodynamics and loading are presently treated using a variety of simplified methods (e.g. bare earth method) which introduce significant uncertainty and/or bias. Furthermore, existing evaluations of structural damage during IEs do not employ standard structural techniques, in large part because of uncertainties in the hydrodynamics and loading. This collaborative project will examine probabilistic structural vulnerability to storm waves and tsunamis in developed regions, where structures are most concentrated but existing models perform poorly due to complex flow transformation around these structures. The laboratory and computational methodologies developed here will employ deterministic and stochastic models with scales able to resolve local transformation, and that directly represent relevant processes. Resolving the local transformation at fine scales will provide improved accuracy in the prediction of structural vulnerability during IEs, enabling improved design, mitigation, and risk-informed decision making. Results of the detailed methodology, which will be computationally intensive, will be used where appropriate to develop more tractable methodologies for the probabilistic prediction of hydrodynamic transformation, loading, and structural response by engineering practitioners.

卡特里娜飓风和桑迪飓风等风暴以及 2011 年东日本海啸造成的洪水给沿海社区造成了灾难性破坏。 随着沿海人口的增加以及数万亿美元的基础设施面临风险，风暴和海啸将继续对沿海社区构成威胁。 要提高社区对这些洪水事件 (IE) 的抵御能力，需要了解它们如何损坏建筑物。 沿着发达的海岸线预测工业园区的结构损坏可能相当困难，其中一些结构可能部分遮挡其后面的建筑物，以使用现有技术不易预测的方式减少损坏。 该项目将创建新的工具来预测已开发海岸线IE的结构损坏。 来自圣母大学、俄勒冈州立大学和南加州大学的团队将利用实验室测试和现场数据开发基于计算机的详细建筑损坏预测方法，以指导开发并验证准确性。 这些新模型将提高洪水和损害预测的准确性，从而提高社区的抗灾能力和更高效的建筑设计。 行业和专业标准委员会的投入将确保这些结果能够传达给工程从业者。 预测建筑和自然环境中的涌流、波浪和海啸流转变对于确定洪水事件期间近海岸结构的生存和失败至关重要。 然而，与地震和风灾不同，由于附近结构对水动力变换的影响，IE 载荷和损坏在沿海建成区的地块尺度上往往变化很大。 此外，IE 流体动力学和载荷目前使用各种简化方法（例如裸土方法）进行处理，这引入了显着的不确定性和/或偏差。 此外，现有的 IE 期间的结构损伤评估并未采用标准结构技术，这在很大程度上是因为流体动力学和载荷的不确定性。 该合作项目将研究发达地区的风暴潮和海啸的概率结构脆弱性，这些地区的结构最集中，但由于这些结构周围复杂的流动转换，现有模型表现不佳。 这里开发的实验室和计算方法将采用确定性和随机模型，其尺度能够解决局部变换，并直接代表相关过程。 解决精细尺度的局部变换将提高 IE 期间结构脆弱性预测的准确性，从而改进设计、缓解和风险知情决策。 详细方法的结果将是计算密集型的，将在适当的情况下用于开发更易于处理的方法，以供工程实践者对水动力变换、载荷和结构响应进行概率预测。

项目成果

Physical modeling of progressive damage and failure of wood-frame coastal residential structures due to surge and wave forces

潮汐力和波浪力引起的木框架沿海住宅结构的渐进损坏和失效的物理模型

• DOI: 10.1016/j.coastaleng.2021.103959
• 发表时间: 2021-10
• 期刊: Coastal Engineering
• 影响因子: 4.4
• 作者: Duncan, Sean;Cox, Daniel;Barbosa, Andre R.;Lomónaco, Pedro;Park, Hyoungsu;Alam, Mohammad S.;Yu, Caileen
• 通讯作者: Yu, Caileen

Static and Dynamic Structural Characterization Tests of Wave Basin Hydrodynamic Experiments of Scaled Wood Frame Shear-Wall Residential Buildings

缩尺木框架剪力墙住宅波浪池水动力试验静动力结构表征试验

• DOI: 10.17603/ds2-v287-t615
• 发表时间: 2021-01
• 期刊: Designsafe-CI
• 作者: Barbosa, Andre;Cox, Daniel;Alam, Mohammad;Mugabo, Ignace;Park, Hyoungsu;Duncan, Sean;Lomonaco, Pedro
• 通讯作者: Lomonaco, Pedro

Hydrodynamic Tests on Physical Models of Scaled Wood Frame Shear-Wall Residential Buildings

等比例木框架剪力墙住宅物理模型水动力试验

• DOI: 10.17603/ds2-8evm-1y60
• 发表时间: 2021-01
• 期刊: Designsafe-CI
• 作者: Cox, Daniel;Barbosa, Andre;Alam, Mohammad;Park, Hyoungsu;Duncan, Sean;Lomonaco, Pedro
• 通讯作者: Lomonaco, Pedro

Tsunami-driven debris experiment with varied density group conditions

不同密度组条件下的海啸驱动碎片实验

• DOI: 10.17603/ds2-w6cr-s920
• 发表时间: 2021-01
• 期刊: Designsafe-CI
• 作者: Park, Hyoungsu;Cox, Daniel
• 通讯作者: Cox, Daniel

Experimental study of debris transport driven by a tsunami-like wave: Application for non-uniform density groups and obstacles

海啸波驱动的碎片输送实验研究：非均匀密度组和障碍物的应用

• DOI: 10.1016/j.coastaleng.2021.103867
• 发表时间: 2021-02-19
• 期刊: Coastal Engineering
• 影响因子: 4.4
• 作者: Hyoungsu Park;Myung;D. Cox;M. S. Alam;Sungwon Shin
• 通讯作者: Sungwon Shin