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Comparative Structural Analysis of Flexible Pavements Using Finite Element Method

机译:有限元法比较柔性路面的结构分析

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ABSTRACT The evaluation of bituminous concrete mixes for their tendency to rutting has been an important research field for many years. Rutting is a major type of distress encountered in bituminous pavements. The Finite Element Method (FEM) is a numerical analysis technique to obtain various structural parameters such as stress, strain and deflection of pavement layers. The objective of this paper is to study the sensitivity of these variables in reducing the vertical surface deflections, the critical tensile strains at the bottom of the bitumen layer and the critical compressive strains on the top of subgrade using the finite element method. This study has been carried out in order to compare the performance of flexible pavement using the finite element method and KENLAYER. Vertical surface deflections in flexible pavements have always been a major concern and are used as a criterion for pavement design. It is desirable to reduce the deflections as much as possible. This paper deals with ways to reduce deflections by varying the design configuration, such as increasing the Hot Mix Asphalt (HMA) modulus, the base modulus, sub base modulus and the subgrade modulus. Another objective of the present study is to investigate the effectiveness of two different methods in reducing vertical surface deflections (wo) and the critical tensile strains in the bitumen layer (εt) or the radial strains at the bottom layer of HMA. The finite element method was adopted to evaluate the effectiveness of the two methods and the sensitivity of various factors
机译:摘要评估沥青混凝土混合物的车辙趋势是多年来的重要研究领域。车辙是在沥青路面上遇到的主要苦恼类型。有限元方法(FEM)是一种数值分析技术,用于获取各种结构参数,例如路面的应力,应变和挠度。本文的目的是使用有限元方法研究这些变量在减小垂直表面挠度,沥青层底部的临界拉伸应变和路基顶部的临界压缩应变方面的敏感性。进行这项研究是为了比较使用有限元法和KENLAYER进行的柔性路面的性能。柔性路面的垂直表面挠度一直是人们关注的主要问题,并被用作路面设计的标准。希望尽可能减小挠度。本文探讨了通过改变设计配置来减少挠度的方法,例如增加热混合沥青(HMA)模量,基础模量,次基础模量和路基模量。本研究的另一个目标是研究两种不同方法在降低垂直表面挠度(wo)和沥青层的临界拉伸应变(εt)或HMA底层的径向应变方面的有效性。采用有限元方法对两种方法的有效性以及各种因素的敏感性进行了评估。

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