岩土力学 ›› 2025, Vol. 46 ›› Issue (10): 3065-3076.doi: 10.16285/j.rsm.2024.1422CSTR: 32223.14.j.rsm.2024.1422

• 基础理论与实验研究 • 上一篇    下一篇

好氧降解对垃圾土沉降影响试验及干重度预测模型

丁前绅1, 2, 3, 4,金佳旭5,曹天书6,刘磊2, 3, 4   

  1. 1.辽宁工程技术大学 力学与工程学院,辽宁 阜新 123000; 2.中国科学院武汉岩土力学研究所 岩土力学与工程安全全国重点实验室,湖北 武汉 430071; 3.中国科学院武汉岩土力学研究所-香港理工大学固体废弃物科学联合实验室,湖北 武汉 430071; 4.中国科学院武汉岩土力学研究所 污染泥土科学与工程湖北省重点实验室,湖北 武汉 430071; 5.辽宁工程技术大学 土木工程学院,辽宁 阜新 123000;6.湖北省建设工程质量安全监督总站,湖北 武汉 430071
  • 收稿日期:2024-11-14 接受日期:2025-01-10 出版日期:2025-10-11 发布日期:2025-10-13
  • 通讯作者: 刘磊,男,1982年生,博士,研究员,主要从事环境岩土力学与工程等方面的研究工作。E-mail: lliu@whrsm.ac.cn
  • 作者简介:丁前绅,男,1996年生,博士,主要从事环境岩土工程等方面的研究工作。E-mail: 18342840929@163.com
  • 基金资助:
    湖北省自然科学基金杰出青年项目(No.2021CFA096);国家自然科学基金(No.52274206);辽宁省“兴辽英才计划”项目(No.XLYC2203142)

Effect of aerobic degradation on settlement characteristics of municipal solid waste and dry unit weight prediction model

DING Qian-shen1, 2, 3, 4, JIN Jia-xu5, CAO Tian-shu6, LIU Lei2, 3, 4   

  1. 1. School of Mechanics and Engineering, Liaoning Technical University, Fuxin, Liaoning 123000, China; 2. State Key Laboratory of Geomechanics and Geotechnical Engineering Safety, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, China; 3. IRSM-CAS/HK Poly. Univ. Joint Laboratory on Solid Waste Science, Wuhan, Hubei 430071, China; 4. Hubei Province Key Laboratory of Contaminated Sludge and Soil Science and Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, China; 5. School of Civil Engineering, Liaoning Technical University, Fuxin, Liaoning 123000, China; 6. Hubei Provincial Construction Engineering Quality and Safety Supervision Station, Wuhan, Hubei 430071, China
  • Received:2024-11-14 Accepted:2025-01-10 Online:2025-10-11 Published:2025-10-13
  • Supported by:
    This work was supported by the Hubei Provincial Natural Science Foundation for Distinguished Young Scholars of China (2021CFA096), the National Natural Science Foundation of China (52274206) and the Liaoning Revitalization Talents Program (XLYC2203142).

摘要: 好氧降解作用对生活垃圾土力学参数的影响是复杂多变的。干重度作为垃圾土的重要参数在评价好氧降解稳定化方面有着重要地位。以武汉市典型垃圾土为研究对象,开展6组不同工况下垃圾土模型体试验,将模型试验分为厌氧和好氧2个部分。模型试验结果表明:水位高度、垃圾土厌氧封存时间以及好氧通风频率是影响垃圾土力学特性的重要因素;修正主压缩指数的范围在0.174~0.452之间,且与水位高度成反比;厌氧阶段垃圾土修正次压缩指数的范围在0.015 4~0.16之间,好氧通风阶段垃圾土修正次压缩指数的范围在0.01~0.78之间,且与水位高度成反比,与好氧通风频率成正比;提出了好氧应变效率用以表征好氧通风条件不同工况下垃圾堆体的应变特性,且好氧应变效率与好氧通风频率成正比,与水位高度和厌氧封存时间成反比。引入Logistic模型描述垃圾土有机物质量变化规律,可预测得到降解稳定时间。最后以应变沉降模型及质量变化模型为基础建立了垃圾土干重度预测模型。

关键词: 垃圾土, 好氧降解, 厌氧降解, 预测模型, 干重度

Abstract: The effects of aerobic degradation on the geotechnical parameters of municipal solid waste (MSW) are complex and variable. As a key parameter of MSW, dry density plays a significant role in assessing the stabilization of aerobic degradation. This study focuses on typical MSW from Wuhan, conducting model tests on six groups under different conditions. The model tests are divided into two parts: anaerobic and aerobic conditions. The results of model tests indicate that water level height, anaerobic storage duration, and aerobic ventilation frequency are key factors affecting the mechanical properties of MSW. The modified primary compression index ranges from 0.174 to 0.452 and is inversely proportional to water level height. During the anaerobic phase, the modified secondary compression index ranges from 0.015 4 to 0.16, whereas in the aerobic ventilation phase, the modified secondary compression index varies from 0.01 to 0.78, showing an inverse relationship with water level height and a direct relationship with aerobic ventilation frequency. Additionally, the aerobic strain efficiency is proposed to characterize the strain characteristics of MSW under varying aerobic ventilation conditions. The aerobic strain efficiercy is directly proportional to aerobic ventilation frequency, while inversely proportional to water level height and anaerobic storage duration. A Logistic model is introduced to describe the variation pattern of organic matter mass in MSW, enabling the prediction of stabilization time for degradation. Finally, based on the strain-settlement model and the mass variation model, a predictive model for dry density of MSW is established.

Key words: municipal solid waste, aerobic degradation, anaerobic degradation, prediction model, dry unit weight

中图分类号: TU 196.2
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