在沥青路应用的基层中可持续利用垃圾填埋场采矿土等馏分

A. Sandeep Reddy, Mahi Patil, Parishi H. Dalal, Kannan K.R. Iyer, Trudeep N. Dave
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引用次数: 0

摘要

自然资源的稀缺性,以及与其加工和运输相关的能源需求/碳足迹,导致人们开始寻求用于道路/路面建设和其他基础设施开发的替代材料。另一方面,垃圾填埋场开采出的类似土壤的部分(LMSF)在世界各地开采出的遗留垃圾填埋场废物中占很大比例,但其应用却很有限。本研究探讨了如何利用 LMSF 开发新型沥青路面基层,以建设具有弹性的道路基础设施。根据级配分析、压实试验和加利福尼亚承载比(CBR)试验,研究结果令人鼓舞。所研究的大多数基层组合都超过了印度低容量道路(农村和外围城市道路)的设计要求;而湿拌金刚砂中 30% 的 LMSF 满足印度和其他国际规范的要求。成本效益分析表明,在路基层中使用 LMSF 可显著节省材料成本。在沥青路面基层中使用低成本、可持续的 LMSF,可以设计出 CBR 超过设计值的优质道路,从而提高道路基础设施的生命周期性能,增强对疲劳效应、水淹没和超载条件的适应能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Sustainable utilization of landfill mined soil like fraction in subbase layer for asphalt road applications

The scarcity of natural resources, and energy demand/carbon footprints related to their processing and transportation, has led to the quest for alternate materials for road/pavement construction and other infrastructure development. On the other side, landfill mined soil like fraction (LMSF) forms significant proportion of mined legacy landfill waste that exists at different locations around the world; however, it has found limited applications. The present study explores the utilization of LMSF in development of novel asphalt road subbase layers for resilient road infrastructure. 30–60% of LMSF replacement has been studied, and findings based on gradation analysis, compaction tests and California bearing ratio (CBR) tests are quite encouraging. Most combinations of subbase layers studied exceed the design requirements for low volume roads in Indian scenario (rural and outer urban roads); while 30% LMSF in wet mix macadam satisfies the requirements of Indian and other international codes. The cost-benefit analysis shows significant saving in material cost due to utilization of LMSF in road subbase layer. The potential utilization of low cost and sustainable LMSF in asphalt road subbase layer would allow design of superior roads with CBR exceeding design values, resulting in better life cycle performance of road infrastructure with high resilience to fatigue effects, water inundation and overloading conditions.

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