...
首页> 外文期刊>Soils and foundations >Effect of probabilistic variation in soil properties and profile of site response
【24h】

Effect of probabilistic variation in soil properties and profile of site response

机译:概率变化对土壤性质和位点响应曲线的影响

获取原文
获取原文并翻译 | 示例

摘要

Site response is a function of the soil profile, and the probable distribution of the soil profile has a significant effect on the seismic site response. In the present study, the influence of random variations in soil characterizations on the site response is investigated using different probabilistic distributions. The important characteristics of the local soil, corresponding to the layering, the shear wave velocity (V-s), the decrease in the nonlinear modulus, and the damping (MRD) curves, are considered when carrying out these random variations. Stochastic processes are generated by using different distribution models and keeping in mind the effect of the coefficients of the variations. In this research, a proposed procedure is developed and coded to perform the variations in soil characterizations. The coding of this new procedure is based on the original SHAKE91 framework. However, instead of using the fixed soil properties and profile, the uncertainties of the MRD curves, the layer thickness, and V-s are generated as the input data. This analysis shows that the use of median V-s, obtained from all the possible inputs under the different stochastic processes, yields good agreements with the baseline profile. Modelling the variabilities in the layering and the V-s profile is seen to have a slight effect on the performance of the site response. Additionally, the results of these analyses indicate that the variabilities in nonlinear soil properties have a significant impact on the median surface response spectrum and the amplification spectrum of the surface motions. (C) 2018 Production and hosting by Elsevier B.V. on behalf of The Japanese Geotechnical Society.
机译:场地响应是土壤剖面的函数,土壤剖面的可能分布对地震场地响应有重大影响。在本研究中,使用不同的概率分布研究了土壤特征随机变化对场地响应的影响。执行这些随机变化时,应考虑与分层,剪切波速度(V-s),非线性模量的减小和阻尼(MRD)曲线相对应的局部土壤的重要特征。通过使用不同的分布模型并记住变化系数的影响来生成随机过程。在这项研究中,提出了一个建议的程序并进行了编码,以执行土壤特征的变化。此新过程的编码基于原始的SHAKE91框架。但是,不是使用固定的土壤属性和剖面,而是将MRD曲线,层厚度和V-s的不确定性作为输入数据生成。该分析表明,使用从不同随机过程下的所有可能输入获得的中值V-s与基线曲线具有良好的一致性。对分层和V-s轮廓中的变化进行建模对站点响应的性能影响很小。此外,这些分析的结果表明,非线性土壤特性的变化对表面运动的中值表面响应谱和放大谱有重大影响。 (C)2018年由Elsevier B.V.代表日本岩土工程学会制作和托管。

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