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Site-Specific Snow Load Models and Hazard Curves for Probabilistic Design

机译:用于概率设计的特定于现场的雪荷载模型和危险曲线

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This paper describes a study to develop site-specific probabilistic snow load models for use in reliability analyses of structures in the United States. Annual maximum snow water-equivalent depth data measured at 93 first-order weather stations was obtained from the National Climatic Data Center. These were then converted to annual maximum ground snow loads and statistics at each site were obtained using graphical fitting techniques. The 50 year maximum roof snow load values (in ratio to code-specified nominal values) were then evaluated site by site using the statistics for annual maximum ground snow, extreme value theory, Monte Carlo simulation, statistics for ground to roof conversion factors, and the nominal ground snow load values in ASCE 7. Finally, the 84 sites in the continental United States (excluding nine sites in Alaska) were grouped on the basis of the 5% exclusion values of actual to nominal 50 year maximum roof snow load. Aggregated statistics for 50 year roof snow load in three geographic regions (designated Northeast, Midwest/Mid-Atlantic, and Northern Midwest/Mountain West) were determined. The roof snow load models developed in this study can be used in code calibration studies and development of next-generation partial safety factors. Snow load models such as those developed herein are developed using data from weather stations typically located at airport or military base locations. Therefore, they are not applicable to special locations such as mountainous regions or gorges. ASCE 7 suggests that design snow loads in such cases should be based on local snow information with consideration given to the orientation, elevation, and records available at each location. Using the state of Oregon as an example, this study also develops county-scale design ground snow load curves and then postprocesses this information into snow hazard curves. Both the design ground snow load curves and the snow hazard curves are presented as functions of elevation for each county area (defined as areas having similar ground snow load versus elevation relationships). To evaluate structural performance of a building subjected to snow load in a performance-based framework, snow hazard curves can be convolved with fragility curves for the building. This study demonstrates one approach for developing snow hazard curves for special regions (mountain areas and gorges) for use in such performance-based design applications.
机译:本文介绍了一项研究,该研究开发了针对特定地点的概率雪荷载模型,用于美国结构的可靠性分析。从国家气候资料中心获得了在93个一级气象站测得的年度最大雪水当量深度数据。然后将其转换为年度最大地面雪荷载,并使用图形拟合技术获得每个站点的统计数据。然后使用年度最大地面积雪统计量,极值理论,蒙特卡洛模拟,地面到屋顶转换因子的统计量,逐个站点评估50年最大屋顶积雪负荷值(与规范规定的名义值的比率)。 ASCE 7中的名义地面雪荷载值。最后,美国大陆的84个站点(不包括阿拉斯加的9个站点)根据实际到名义50年最大屋顶雪荷载的5%排除值进行分组。确定了三个地理区域(指定为东北,中西部/中大西洋和北部中西部/西山)50年屋顶积雪量的汇总统计数据。在这项研究中开发的屋顶雪荷载模型可用于规范校准研究和下一代局部安全系数的开发。使用来自通常位于机场或军事基地位置的气象站的数据来开发诸如本文开发的雪负荷模型。因此,它们不适用于山区或峡谷等特殊地点。 ASCE 7建议在这种情况下,设计雪荷载应基于当地的雪情信息,并考虑到每个位置的方向,海拔和记录。以俄勒冈州为例,本研究还开发了县级设计的地面雪荷载曲线,然后将该信息后处理为雪灾曲线。设计的地面雪荷载曲线和雪灾曲线均作为每个县地区(定义为地面雪荷载与海拔关系相似的地区)的海拔函数呈现。为了在基于性能的框架中评估承受雪荷载的建筑物的结构性能,可以将积雪危险曲线与建筑物的脆性曲线卷积。这项研究表明了一种开发特殊区域(山区和峡谷)积雪危险曲线的方法,可用于基于性能的设计应用中。

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