对松散颗粒路面材料弹性行为的全面回顾

IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL
Ayesh Dushmantha, Shiran Jayakody, Yilin Gui, Chaminda Gallage
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引用次数: 0

摘要

柔性路面的基层和亚基层严重依赖于未粘结的颗粒材料,在重复载荷下的性能至关重要。该性能由两个主要参数来衡量:弹性模量和永久变形,这两个参数受材料的固有特性(如级配、含水率和密度)和外部因素(如施加应力和负载重复)的影响。随着时间的推移,这些因素的变化会导致强度下降和不可恢复应变的增加,因此需要对路面的弹性行为进行常规评估,以保持其寿命和耐久性。考虑到频繁的现场测试的实际困难,计算模型已经成为模拟弹性模量和预测塑性应变的重要工具,包括各种影响因素,并通过实验室和现场数据进行校准。本文深入研究了影响散体颗粒路面材料回弹性能的特性,强调应力水平和含水率对回弹模量有显著影响,而荷载循环次数和应力水平对永久变形有显著影响。本研究的核心是探索这些因素对弹性行为的综合影响。此外,它还评估了计算建模的当前前景,通过对现有文献的比较分析,展示了最常用模型预测这些参数的能力。这表明,为了提高路面的可靠性和耐久性,模型必须不断发展,以包括对未来改善的密度和等级的预测。这项研究进一步确定了路面退化的主要原因,有助于制定有针对性的修复策略,并选择准确的模型来预测复原力,确保路面设计的稳健。此外,这篇综述通过合并对未结合颗粒材料的弹性的新见解和对计算模型的关键评估来推进该领域。它介绍了新的观点和趋势,弥合了早期评论的差距,并为路面工程的未来研究铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive review of the resilient behaviour of unbound granular pavement materials
Flexible pavements rely heavily on unbound granular materials for their base and subbase layers, where their performance under repetitive loading is critical. This performance is gauged by two main parameters: resilient modulus and permanent deformation, which are influenced by both intrinsic material properties such as gradation, moisture content, and density and external factors such as applied stress and load repetitions. Over time, variations in these elements can lead to diminished strength and increased non-recoverable strain, highlighting the necessity for routine evaluation of the pavement’s resilient behavior to maintain its longevity and durability. Given the practical difficulties of frequent field testing, computational models have emerged as vital tools for simulating the resilient modulus and predicting plastic strain, incorporating diverse influencing factors, and calibrated with lab and in-situ data. This paper delves into the properties affecting the resilient behavior of unbound granular pavement materials, emphasizing that stress level and moisture content significantly impact the resilient modulus, while load cycles and stress level notably influence permanent deformation. Central to this study is the exploration of the integrated effect of these factors on resilient behavior. Additionally, it evaluates the current landscape of computational modeling, showcasing the capabilities of the most used models for predicting these parameters through comparative analysis of existing literature. It suggests that to enhance pavement reliability and durability, models must evolve to include predictions on density and gradation for future improvement. This study further identifies key causes of pavement deterioration, helping develop targeted rehabilitation strategies and select accurate models for predicting resilience, ensuring robust pavement design. Furthermore, this review advances the field by merging new insights on the resilience of unbound granular materials with a critical evaluation of computational models. It introduces fresh perspectives and trends, bridging gaps in earlier reviews and paving the way for future research in pavement engineering.
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来源期刊
CiteScore
13.60
自引率
6.30%
发文量
402
审稿时长
15 weeks
期刊介绍: The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.
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