暴雨与路面地基的湿度敏感性:结合有限元法和 MnROAD 湿度监测数据的案例研究

IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL
Md Jibon , Md Abdullah All Sourav , Masrur Mahedi , Sunghwan Kim , Halil Ceylan , Raul Velasquez
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引用次数: 0

摘要

由于气候变化,包括明尼苏达州在内的中西部地区强降水事件不断增加,明尼苏达州交通部(MnDOT)目前正在调查气候变化对路面地基和其他交通资产的影响。作为这项工作的一部分,我们开展了一项研究,通过关注路面基层的湿度动态和弹性模量变化,调查暴雨对路面地基性能的影响。这项研究旨在了解暴雨对路面地基内湿度通量和基层集料层相应刚度的不利影响。在使用 AASHTOWare Pavement Mechanistic-Empirical (ME) Design 中采用的弹性模量预测方程估算相应的弹性模量值时,采用了两步法预测饱和度的变化。PLAXIS 3D 是一种有限元分析工具,用于模拟不同暴雨情况下路面层内水分的移动。通过将 PLAXIS 3D 模拟预测的饱和度纳入路面 ME 方程,估算出基层的相应弹性模量值。为确保模型的准确性和可靠性,使用来自 MnROAD 设施的现场传感器数据对模型进行了验证。开发的多元线性回归模型为估算暴雨导致的弹性模量变化提供了一种方法。这项研究强调了在暴雨频发地区的路面设计和维护中考虑湿度影响的重要性,交通机构可将研究结果作为其交通/岩土资产管理计划的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heavy rainfall and moisture susceptibility of pavement foundation: A case study coupling finite element method and MnROAD moisture monitoring data

The Midwest region, including Minnesota, has been experiencing increased heavy precipitation events due to climate change, and the Minnesota Department of Transportation (MnDOT) is currently investigating the effect of climate change on pavement foundation and other transportation assets. As part of this effort, a study was conducted to investigate the impact of heavy rainfall on pavement foundation performance by focusing on moisture dynamics and resilient modulus changes in the pavement base layer. This study is aimed at understanding the adverse effects of heavy rainfall on moisture fluxes within pavement foundation and corresponding stiffness of the base aggregate layer. A two-step approach was adopted for predicting changes in saturation when estimating corresponding resilient modulus values using the resilient modulus prediction equation employed in AASHTOWare Pavement Mechanistic-Empirical (ME) Design. PLAXIS 3D, a finite-element analysis tool, was utilized to simulate the movement of moisture within the pavement layers under varying heavy rainfall scenarios. By incorporating predicted saturation from PLAXIS 3D simulations into the Pavement ME equation, corresponding resilient modulus values were estimated for the base layer. To ensure its accuracy and reliability, the model was validated using field sensor data from the MnROAD facility. Multiple linear regression models were developed to provide a means for estimating resilient modulus changes due to heavy rainfall. This study highlights the importance of considering moisture effects in pavement design and maintenance in regions prone to heavy rainfall events, and findings can be used by transportation agencies as part of their transportation/geotechnical asset management programs.

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来源期刊
Transportation Geotechnics
Transportation Geotechnics Social Sciences-Transportation
CiteScore
8.10
自引率
11.30%
发文量
194
审稿时长
51 days
期刊介绍: Transportation Geotechnics is a journal dedicated to publishing high-quality, theoretical, and applied papers that cover all facets of geotechnics for transportation infrastructure such as roads, highways, railways, underground railways, airfields, and waterways. The journal places a special emphasis on case studies that present original work relevant to the sustainable construction of transportation infrastructure. The scope of topics it addresses includes the geotechnical properties of geomaterials for sustainable and rational design and construction, the behavior of compacted and stabilized geomaterials, the use of geosynthetics and reinforcement in constructed layers and interlayers, ground improvement and slope stability for transportation infrastructures, compaction technology and management, maintenance technology, the impact of climate, embankments for highways and high-speed trains, transition zones, dredging, underwater geotechnics for infrastructure purposes, and the modeling of multi-layered structures and supporting ground under dynamic and repeated loads.
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