Developing probabilistic approach for asphaltic overlay design by considering variability of input parameters

Maji, Avijit; Singh, Dharamveer; Chawla, Hitesh

doi:10.1007/s41062-016-0046-3

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…У роботах зарубіжних авторів [23] відзначається, що зміна товщини шару дорожнього покриття відповідає нормальному розподілу з коефіцієнтом варіації у діапазоні від 3 % до 25 % для шару асфальтобетону і від 5 % до 35 % для шарів з зернистих матеріалів. Аналогічні результати отримані проф.…”

Section: виклад основного матеріалуunclassified

“…Гамеляком [24]. Модуль пружності матеріалу шарів конструкції дорожнього одягу, кількість прикладань розрахункового навантаження також можуть бути охарактеризовані коефіцієнтом варіації [23][24][25]. Модулі пружності підкорюються логонормальному [26][27][28][29] або нормальному законам розподілу [27,30].…”

Section: виклад основного матеріалуunclassified

“…Тому останні дослідження спрямовані на розроблення моделей оцінювання стану дорожнього одягу, які враховують неоднорідність та мінливість вхідних параметрів через функції розподілу ймовірностей та статистичні характеристики розподілу. Так, у дослідженні [23] конструкція посилення вважається невдалою, якщо виконується умова:…”

Section: виклад основного матеріалуunclassified

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Probability Methods of Analysis of Assessment of the Condition of Road Clothes in Use

Batrakova

Urdzik

2021

MEC

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This article is a continuation of the analysis of methods and criteria for assessing the condition of non-rigid pavement, which contains in its structural layers such hidden defects as cracks, material disintegration, violation of the structure of intermediate layers of monolithic material and others. The variety of models for assessing the condition of the pavement with destruction is explained by: variability of soil-geological, climatic conditions of operation of pavement; the variety of physical and mechanical characteristics of the materials of the structural layers of the pavement and the soil of the ground; heterogeneity of geometric parameters of pavements in the longitudinal and transverse profiles. According to many scientists to assess the condition of the pavement is a necessary condition for the use of methods of probabilistic analysis. Methods of designing and assessing the condition of the pavement structure must take into account the principles of reliability, including probabilistic methods of reliability analysis. Most of the considered probabilistic models for assessing the condition of pavement are focused on the design of new construction, which allows not to take into account the patterns of changes in physical and mechanical properties of materials of structural layers and their geometric parameters during operation. However, the most relevant is to assess the condition of pavement with damage, including hidden cracks. Much of the article is devoted to the analysis of this area of research. According to the results of the analysis, it is concluded that probabilistic methods allow to take into account the heterogeneity of parameters that characterize the stress-strain state of the pavement structure and can be used in models to assess the condition of pavement with cracks in layers of monolithic materials.

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Section: виклад основного матеріалуunclassified

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Probability Methods of Analysis of Assessment of the Condition of Road Clothes in Use

Batrakova

Urdzik

2021

MEC

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“…Zhou, Hu, and Scullion (2010) presented a comprehensive mechanistic-empirical system to design a balanced asphaltic overlay based on traffic loadings, climate conditions, existing pavement conditions, and material properties of asphalt overlay mix. Maji, Singh, and Chawla (2016) developed a comprehensive probabilistic approach for asphaltic overlay design that can accommodate variations in the design parameters which include layer thicknesses, layer moduli, vehicle damage factor, lane distribution factor, and traffic growth rate. Nobakht, Sakhaeifar, and Newcomb (2016) proposed a rehabilitation strategy based on structural capacity, which mainly applies a damage ratio estimated from the (FWD) data and a rutting index estimated from distress assessment.…”

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Simplified empirical approach for predicting the remaining strength factor used in pavement rehabilitation applications

Abaza

2019

Cogent Engineering

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This paper presents a simplified empirical model for predicting the asphaltic remaining strength factor to be used in estimating the resurfacing thickness for both thin and thick asphaltic surfaces. The proposed model for predicting the asphaltic remaining strength factor in the case of thin asphaltic surface is mainly a function of key performance indicators and calibration constant (K). In the case of thick asphaltic surface, an average remaining strength factor is proposed which is a function of the existing asphaltic surface thickness, cold milling thickness, and the remaining strength factor associated with thin asphaltic surface. The proposed remaining strength factor is to be used in estimating the resurfacing thickness component due to the strength loss endured by the asphaltic surface. Two case studies are presented to predict the remaining strength factor. The first one applies the remaining strength factor model to estimate the resurfacing thicknesses for two sample projects considering variable rehabilitation scheduling time, while the second one calibrates the remaining strength factor model for a local roadway sample using minimization of the sum of squared errors. The sample results Khaled A. Abaza ABOUT THE AUTHOR Prof. Abaza earned his PhD in Transportation Engineering Systems from the University of Toledo, Ohio, 1990. He is a licensed professional engineer (PE) in the State of California where he worked as a transportation engineer with the California Department of Transportation (Caltrans) from 1991 to 1997. He joined Birzeit University in 1997 and held different teaching and administrative positions including chairperson of the Civil Engineering Department and dean of the Faculty of Engineering and Technology. Prof. Abaza has mainly applied his expertise in stochastic modeling, optimization methods, statistical analysis and pavement engineering to provide reliable solutions to many of the contemporary problems facing pavement engineers. His recent research efforts have mainly focused on pavement performance prediction using discrete-time heterogeneous Markov chains. This has led to the development of Empirical-Markovian models which are used in developing optimal pavement rehabilitation strategies and predicting resurfacing design thicknesses.

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A high-fidelity computational investigation of buried concrete sewer pipes exposed to truckloads and corrosion deterioration

Zamanian

Hur

Shafieezadeh

2020

Engineering Structures

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Developing probabilistic approach for asphaltic overlay design by considering variability of input parameters

Cited by 9 publications

References 14 publications

Probability Methods of Analysis of Assessment of the Condition of Road Clothes in Use

Probability Methods of Analysis of Assessment of the Condition of Road Clothes in Use

Simplified empirical approach for predicting the remaining strength factor used in pavement rehabilitation applications

A high-fidelity computational investigation of buried concrete sewer pipes exposed to truckloads and corrosion deterioration

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