...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Bulletin of earthquake engineering >Microzonation models for Montreal with respect to V-S30
【24h】

Microzonation models for Montreal with respect to V-S30

机译：关于V-S30的蒙特利尔微区模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The development of seismic microzonation maps is now a prerequisite for performing advanced seismic hazards and seismic risk assessments in urban areas. Current microzonation procedures are based on classifying site response in soil categories based on . In many practical cases, information on shear wave velocity is sparse and analysts must resort to other sources of information to develop zonation maps over large regions. For Montreal, Canada, a geostatistical approach combining a large dataset of boreholes, data from the H/V method, and a limited number of shear wave velocity measurements is proposed. Predictive equations are developed with the different types of information and partly used to create three different models: A first model based on the total thickness of soft soil deposits (One Layer Model), a second model based on stratigraphy obtained from borehole data (Four Layers Model) and a third model (Composite Model) that combines data from the previous two models with data from seismic surveys. Variability and uncertainty associated with the choice of the models are described and estimated using a second moment analysis. The composite model which combines borehole, and Vs data is shown to be the most accurate compared to models derived only from borehole and Vs data (an average reduction of 40 % of the squared error) and shows good agreement with the geological map for clay and sand locations with soils classes C and D (54 % agreement on average). This approach opens new perspectives for microzonation in urban areas when budgets for Vs surveys are limited.
机译：现在，开发地震微区划图是在城市地区执行高级地震危害和地震风险评估的先决条件。当前的微区划程序是基于对土壤类别中场地响应的分类。在许多实际情况下，有关横波速度的信息很少，分析人员必须求助于其他信息资源才能在大区域上绘制分区图。对于加拿大蒙特利尔，提出了一种地统计学方法，该方法结合了大的钻孔数据集，H / V方法的数据以及有限数量的剪切波速度测量值。利用不同类型的信息开发了预测方程，部分地使用了这些方程来创建三个不同的模型：基于软土沉积物总厚度的第一个模型（单层模型），基于钻孔数据获得的地层的第二个模型（四层）模型）和第三个模型（复合模型），该模型将前两个模型的数据与地震勘测的数据相结合。使用第二阶矩分析来描述和估计与模型选择相关的可变性和不确定性。与仅从钻孔和Vs数据得出的模型相比，结合了钻孔和Vs数据的复合模型显示出了最准确的模型（平均误差减少了40％），并且与黏土和岩石的地质图具有很好的一致性。砂土的土壤类别为C和D（平均同意率为54％）。当Vs调查的预算有限时，这种方法为城市地区的微区化开辟了新的视野。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号