首页> 外文期刊>Canadian Geotechnical Journal >An energy-based approach to predict debris flow mobility and analyze empirical relationships
【24h】

An energy-based approach to predict debris flow mobility and analyze empirical relationships

机译:一种基于能量的方法来预测泥石流流动性并分析经验关系

获取原文
获取原文并翻译 | 示例
           

摘要

Several empirical relationships allowing a preliminary estimate of debris flow runout distances have been proposed to correlate the runout length to the volume of the sliding granular mass, delimit potentially hazardous areas, and design safeguarding measures. To overcome their large variability and define their fields of applicability, an energy-based model, predicting debris flow mobility, is developed. The power balance of a granular mass sliding along two planar surfaces is written by taking into account the volume of the debris mass, the slopes of the sliding surfaces, an assigned interstitial pressure, the possible mass variation along the motion, the energy dissipation due to the grain inelastic collisions ("granular temperature" within a basal "shear layer"), and friction. A system of ordinary differential equations is obtained; its numerical solution allows, through parametrical analyses: (i) highlighting of the role of physical and mechanical parameters on the runout distance, such as grain size material, interstitial pressures, grain collisions, and erodibility of the crossed channel; and (ii) defining of the favourable conditions for debris flows mechanism generation. Finally, through the back-analysis of some cases, an original relationship to estimate the runout length, as well as to interpret the results of the empirical formulas, is proposed.
机译:已经提出了几种经验关系,可以初步估计泥石流的跳动距离,以将跳动长度与滑动颗粒物质的体积相关联,划定潜在的危险区域,并设计保护措施。为了克服它们的巨大可变性并定义它们的适用范围,开发了一种基于能量的模型来预测泥石流的流动性。沿两个平面滑动的颗粒状物质的功率平衡是通过考虑碎屑的体积,滑动面的斜率,分配的间隙压力,沿运动的可能质量变化以及由于晶粒无弹性的碰撞(基底“剪切层”中的“颗粒温度”)和摩擦。得到一个常微分方程组;通过参数分析,其数值解可以:(i)突出物理参数和机械参数在跳动距离上的作用,例如晶粒大小,间隙压力,晶粒碰撞和交叉通道的易蚀性; (ii)定义产生泥石流的有利条件。最后,通过对某些情况的反分析,提出了估算跳动长度以及解释经验公式结果的原始关系。

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