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城市生活垃圾主压缩特性试验及修正主压缩指数模型研究
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  • 英文篇名:Experimental study on the primary compression behavior of municipal solid waste and a model of modified primary compression index
  • 作者:徐辉 ; 朱广 ; 张振营 ; 詹良通 ; 陈云敏
  • 英文作者:XU Hui;ZHU Guang;ZHANG Zhenying;ZHAN Liangtong;CHEN Yunmin;School of Civil Engineering and Architecture,Zhejiang Sci-Tech University;Key Laboratory of Soft Soils and Geoenvironmental Engineering of Ministry of Education,Zhejiang University;
  • 关键词:土力学 ; 城市生活垃圾 ; 修正主压缩指数 ; 含水量 ; 干重度 ; 可压缩组分含量 ; 模型
  • 英文关键词:soil mechanics;;municipal solid waste(MSW);;modified primary compression index;;water content;;dry unit weight;;compressible component content;;model
  • 中文刊名:YSLX
  • 英文刊名:Chinese Journal of Rock Mechanics and Engineering
  • 机构:浙江理工大学建筑工程学院;浙江大学软弱土与环境土工教育部重点实验室;
  • 出版日期:2019-04-12 15:14
  • 出版单位:岩石力学与工程学报
  • 年:2019
  • 期:v.38;No.353
  • 基金:国家自然科学基金资助项目(51708508,51478436,51678532)~~
  • 语种:中文;
  • 页:YSLX201906018
  • 页数:14
  • CN:06
  • ISSN:42-1397/O3
  • 分类号:195-208
摘要
城市生活垃圾的修正主压缩指数对于填埋场沉降预测、填埋容量评估和填埋进程规划具有重要意义。通过开展2组大型模型试验和6组填埋柱压缩试验,研究城市生活垃圾的主压缩特性并建立修正主压缩指数模型。修正主压缩指数随含水量的增大而增大,随干重度的增大而减小,随可压缩组分含量的增加而增大;建立以含水量、干重度和可压缩组分含量为主要参数的修正主压缩指数预测模型,并进一步拓展为能够预测修正主压缩指数随埋深的变化;利用苏州七子山填埋场钻孔取样测试数据对模型进行了验证,结果表明模型预测结果较为可靠且比文献模型表现更优;算例分析结果表明,考虑修正主压缩指数随埋深的变化,有利于更加精确地指导生活垃圾填埋场填埋进程规划和填埋容量评估。
        The modified primary compression index of municipal solid waste(MSW) is an essential parameter for predicting waste settlement,evaluating landfill capacity and planning landfill process. Two groups of large-scale model experiments and six groups of column compression tests were conducted to investigate the primary compression behavior of MSW,and a modified primary compression index model was proposed. It is found that the modified primary compression index increases with increasing the moisture content or the compressible component content but decreases with rising the dry unit weight. A mathematical model for predicting the modified primary compression index was proposed taking the water content,dry unit weight and compressible component content into account,and the model was developed to predict the modified primary compression index with varied burial depths. Comparison between the model and the testing data of borehole samples from Qizishan landfill in Suzhou was carried out,which indicates that the model fits well the test data and performs better than the models documented in literature. An example illustrates that it is beneficial to take the variation of the modified primary compression index with burial depth into consideration in accurately planning the landfill process or/and assessing the landfill capacity of MSW landfills.
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