Abstract
Mechanistic Empirical (ME) pavement design methods started to gain attention especially the last couple of years in Egypt and the Middle East. One of the challenges facing the spread of these methods in Egypt is lack of advanced properties of local soil and asphalt, which are needed as input data in ME design. Resilient modulus (Mr) for example is an important engineering property that expresses the elastic behavior of soil/unbound granular materials (UGMs) under cyclic traffic loading for ME design. In order to overcome the scarcity of the resilient modulus data for soil/UGMs in Egypt, a comprehensive laboratory testing program was conducted to measure resilient modulus of typical UGMs and subgrade soils typically used in pavement construction in Egypt. The factors that affect the resilient modulus of soil/UGMs were reviewed, studied and discussed. Finally, the prediction accuracy of the most well-known Mr Prediction models for the locally investigated materials was investigated.
Highlights
Mechanistic Empirical (ME) pavement design methods has to be calibrated using specific pavement types, materials, specific local traffic and environmental conditions, which limit the possibility of using them, unless local calibration is conducted
Several studies investigated the effect of gradation, fines content, particle shape, maximum nominal aggregate size, liquid limit (LL), plasticity index (PI), coefficient of uniformity (Cu) and coefficient of curvature (Cc) on resilient modulus [8, 9, 10]
Based on the literature review presented in this paper and the engineering properties of the investigated materials, the following conclusions can be drawn: x There are many parameters that influence the behavior of Unbound Granular materials (UGMs) and finegrained soils under repeated loads
Summary
Mechanistic Empirical (ME) pavement design methods has to be calibrated using specific pavement types, materials, specific local traffic and environmental conditions, which limit the possibility of using them, unless local calibration is conducted. Empirical Pavement Design Guide (MEPDG), a pavement system is analyzed by computing the structural responses (stresses, strains, and deflections) based on the mechanical properties of different pavement materials. The pavement distresses are predicted by empirical models using the computed critical strains and deformations. The proper characterization of Unbound Granular materials (UGMs) and subgrade soils is essential in the design and rehabilitation of pavement structures. The resilient modulus (Mr) is used as a fundamental engineering property to describe stress–strain relationship of soil/UGM under cyclic loading. The MEPDG recommends the use of resilient modulus as level 1 input data (the highest level of accuracy) instead of California Bearing Ratio (CBR) for pavement design. X Apply some of the well-known resilient modulus models exist in the literature on the investigated materials to obtain material constants and recommend the most accurate model for the local materials
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