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风积土地区工程病害分类和防治系统化研究

张玉 张向东 陈铁林 刘家顺

灾害学2017,Vol.32Issue(1):11-16,21,7.
灾害学2017,Vol.32Issue(1):11-16,21,7.DOI:10.3969/j.issn.1000-811X.2017.01.003

风积土地区工程病害分类和防治系统化研究

Engineering Disease Classification and Control in Aeolian Soil Area

张玉 1张向东 2陈铁林 3刘家顺1

作者信息

  • 1. 北京交通大学 土木建筑工程学院,北京 100044
  • 2. 北京交通大学 城市地下工程教育部重点实验室,北京 100044
  • 3. 辽宁工程技术大学 土木与交通学院,辽宁 阜新 123000
  • 折叠

摘要

Abstract

As for the disease classification,influencing factors and controlling measurements for Aeolian Soil engineering in western Liaoning Province of China,methods of field investigation,indoor experiment and construc-tion requirements analysis are used.The disease classifications are obtained in terms of disease phenomenon and disease mechanism respectively,then analyzing the four-level influencing factors under the Engineering-Geosphere System and Analytic Hierarchy Process,and giving the controlling measurements,thus forming the systematical and simple frame for engineering disease identification and control.The results show:①Aeolian Soil is silty clay with coarse granule,good gradation,medium compressibility,low shear strength,easy liquefaction,apparent structure and non-obvious collapsibility;②Engineering disease in Aeolian Soil area often develops under the reason of com-pressible settlement,shearing damage,vibration-subsidence and liquefaction,collapsibility,frost-heave and thaw-settlement,weathering,current scour,etc.;③Based on the Engineering-Geosphere System,the main influencing factors for engineering disease in Aeolian Soil area are physicomechanical property of Aeolian Soil,human activity and natural environment;④It’s necessary to establish systematical frame of disease identification,adjusting and control,thus making the work normative,processive,standardizing and informatized.

关键词

风积土/工程/病害/分类/地圈系统/防治

Key words

Aeolian soil/engineering/disease/classification/geosphere system/control

分类

建筑与水利

引用本文复制引用

张玉,张向东,陈铁林,刘家顺..风积土地区工程病害分类和防治系统化研究[J].灾害学,2017,32(1):11-16,21,7.

基金项目

中央高校基本科研业务费专项资金资助项目“土质隧道围岩注浆参数选定物理模型试验研究”(C16JB00110);高等学校博士学科点专项科研基金资助项目 ()

灾害学

OA北大核心CSCDCSTPCD

1000-811X

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