...
首页> 外文期刊>Computers & Concrete >An approach of evaluation and mechanism study on the high and steep rock slope in water conservancy project
【24h】

An approach of evaluation and mechanism study on the high and steep rock slope in water conservancy project

机译:水利工程高陡边坡评价与机理研究方法

获取原文
获取原文并翻译 | 示例
           

摘要

In this study, an aging deformation statistical model for a unique high and steep rock slope was proposed, and the aging characteristic of the slope deformation was better reflected. The slope displacement was affected by multiple environmental factors in multiple scales and displayed the same tendency with a rising water level. The statistical model of the high and steep rock including non-aging factors was set up based on previous analyses and the study of the deformation and residual tendency. The rule and importance of the water level factor as a non-aging unit was analyzed. A partitioned statistical model and mutation model were established for the comprehensive cumulative displacement velocity with the monitoring study under multiple factors and multiple parameters. A spatial model was also developed to reflect and predict the whole and sectional deformation character by combining aging, deformation and space coordinates. A neural network model was built to fit and predict the deformation with a high degree of precision by mastering its feature of complexity and randomness. A three-dimensional fmite element model of the slope was applied to approach the structure character using numerical simulations. Further, a three-dimensional finite element model of the slope and dam was developed, and the whole deformation state was analyzed. This study is expected to provide a powerful and systematic method to analyze very high, important and dangerous slopes.
机译:本文提出了一种独特的高陡岩石边坡的老化变形统计模型,可以较好地反映出边坡变形的老化特征。边坡位移受到多种尺度上多种环境因素的影响,并且随着水位的升高呈现出相同的趋势。在先前的分析和变形及残余趋势研究的基础上,建立了包括非时效因素在内的高陡岩石统计模型。分析了水位因素作为非衰老单位的规律和重要性。通过多因素,多参数的监测研究,建立了综合累积位移速度的分区统计模型和突变模型。还开发了空间模型,通过结合时效,变形和空间坐标来反映和预测整体变形和截面变形特征。通过掌握其复杂性和随机性的特征,建立了一个神经网络模型,以高度精确地拟合和预测变形。运用三维有限元三维有限元模型对结构特征进行数值模拟。此外,建立了边坡和坝体的三维有限元模型,并分析了整个变形状态。这项研究有望为分析非常高,重要和危险的边坡提供强有力的系统方法。

著录项

  • 来源
    《Computers & Concrete》 |2017年第5期|527-535|共9页
  • 作者单位

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China|Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China|Natl Engn Res Ctr Water Resources Efficient Utili, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China|Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China|Natl Engn Res Ctr Water Resources Efficient Utili, Nanjing 210098, Jiangsu, Peoples R China;

    Nanjing Inst Technol, Dept Comp Engn, Nanjing 211167, Jiangsu, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    high and steep slope; statistic model; spatial model; neural network; finite element model;

    机译:高陡边坡;统计模型;空间模型;神经网络;有限元模型;

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