Research to Integrate and Test a Predictive Methodology for Building Cladding Performance Using a Sample of Hurricane Bertha Damage Data

使用飓风伯莎损坏数据样本集成和测试建筑覆层性能预测方法的研究

• 批准号: 9617344
• 负责人: Lawrence Twisdale
• 金额: $ 3.04万
• 依托单位: Applied Research Associates, Inc. Headquarters (Albuquerque)
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-15 至 1997-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9617344&HistoricalAwards=false
• 关键词: Research; Integrate; Test; Predictive; Methodology

9617344 Twisdale The project will use failure data collected on occasion of Hurricane Bertha making land fall in North Carolina on July 1996, using an unbiased sample of structures affected within the designed wind speed region of the storm for testing structures with an integrated building performance prediction method. In the project a numerical windfield model of validated and re-created storm windfield data will be integrated with wind tunnel test data to predict loads on building components and on cladding components resistance models. The result will be an end-to-end model for evaluating structure cladding performance. The importance of these results are reflected in the fact that cladding loss of integrity results in wind and water penetration which in turn produce the damage of building contents and great total economic losses. ***

本项目将使用1996年7月飓风伯莎（Bertha）在北卡罗来纳州登陆时收集的失效数据，使用在风暴设计风速区域内受影响的无偏结构样本，以综合建筑性能预测方法对结构进行测试。在该项目中，经过验证和重新创建的风暴风场数据的数值风场模型将与风洞试验数据相结合，以预测建筑构件和包层构件阻力模型上的载荷。结果将是评估结构包层性能的端到端模型。这些结果的重要性反映在这样一个事实中，即包层完整性的丧失导致风和水的渗透，进而造成建筑内容物的破坏和巨大的经济损失。＊＊＊