Spatial variability modeling and reliability analysis of flexible pavement through mechanistic–empirical model

Srivastava, A. K.; Srivastava, Dharmendra Kumar; Misra, Anil Kumar

doi:10.1108/jedt-02-2019-0038

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…This article describes a non-destructive method of measuring and determining the function of deterioration. Both the practitioners and academicians agree that the reliability of PMS and its outputs is proportional to the reliability of the PPM in use [7].…”

Section: Introductionmentioning

confidence: 94%

Non-Destructive Evaluation of Asphalt Concrete Materials Performance During their Life Cycle Based on Accelerated Pavement Testing

Ďurinová

Kozel

2021

Civil and Environmental Engineering

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The characteristics of asphalt concrete materials (ACM) composing the surfacing layer of a bituminous pavement must fulfil a requirement to maintain a level of operational capability demanded by national standards of a given country. ACM’s are a subject to significant stress caused by traffic load and climate conditions, this leads to changes in their physico-mechanical properties. The loss of physico-mechanical properties causes deterioration of road surface characteristics. Since these changes occur throughout the ACM’s life cycle, it is necessary to know the deterioration curves related to loading and time in mathematical terms, i.e. functions describing the initiation and progression of pavement’s defect in time. Pavement Performance Models (PPM) ascertained by non-destructive testing are used to objectively express the surface properties of pavements and their deterioration. The methodology consists of an analytical method to ascertain physico-mechanical characteristics of ACM’s and the use of experimental accelerated pavement testing (APT) facilities.

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Section: Introductionmentioning

confidence: 94%

Non-Destructive Evaluation of Asphalt Concrete Materials Performance During their Life Cycle Based on Accelerated Pavement Testing

Ďurinová

Kozel

2021

Civil and Environmental Engineering

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“…The Mechanistic-Empirical Pavement Design Guide equation is one of the most common methods used to estimate pavement roughness based on different input variables. This technique includes the transfer function and regression equation to calculate pavement performance indicators such as pavement roughness and distresses (Srivastava et al , 2019). The regression analysis approach was adopted by many researchers for the development of pavement roughness models due to the simplicity of implementation, ease of use and the ability to study the effect of different types of parameters on pavement roughness.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of pavement roughness regression models based on smartphone measurements

Al‐Suleiman

Alatoom

2022

JEDT

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Purpose The purpose of this paper was to study the possibility of using smartphone roughness measurements for developing pavement roughness regression models as a function of pavement age, traffic loading and traffic volume variables. Also, the effects of patching and pavement distresses on pavement roughness were investigated. The work focused on establishing pavement roughness prediction models and applying these models to pavement management systems (PMS) to help decision-makers choose the best maintenance and rehabilitation (M&R) options by using cost-effective methods. Design/methodology/approach Signal processing techniques including filtering and processing techniques were used to obtain the International Roughness Index (IRI) from raw acceleration data collected from smartphone accelerometer sensors. The obtained IRI values were inputted as a dependent variable in analytical regression models as well as several independent variables with proper transformations. Findings According to the study results, several regression models were developed with a big variation in the coefficients of determination (R2). However, the best models included pavement age, accumulated traffic volume (∑TV) and construction quality factor (CQF) with R2 equal to 0.63. It was also found that the effects of pavement distresses and patching was significant at a-level < 0.05. The patching effect on pavement roughness was found higher than the effect of other pavement distresses. Practical implications The presented results and methods in this paper could be used in the future predictions of pavement roughness and help the decision-makers to estimate M&R needs. The work focused on establishing IRI prediction models and applying these models to the PMS to help decision-makers choose the best M & R options. Originality/value To develop sound pavement roughness models, it is essential to collect roughness data using automated procedures. However, applying these procedures in developing countries faces several difficulties such as the high price and operation costs of roughness equipment and lack of technical experience. The advantage of using IRI values taken from smartphones is that the roughness evaluation survey may be expanded to cover the full road network at a cheaper cost than with automated instruments. Therefore, if the roughness survey covers more roads, the prediction model’s accuracy will be improved.

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“…The so-called colored asphalt pavement refers to the color asphalt mixture made by mixing the decolorized asphalt and different colorants, and the construction forms the colored asphalt pavement with certain strength and road performance (Xing et al , 2018). Colored asphalt pavement can strengthen traffic management, facilitate traffic guidance and reduce the probability of traffic accidents (Srivastava et al , 2019; Liu and Sun, 2014; Lee et al , 1985). And the city is beautified, the traffic environment is improved, the colored asphalt pavement has become one of the important means to build a modern city.…”

Section: Introductionmentioning

confidence: 99%

Effects of different colorants on service performance for colored asphalt pavement in cold regions

Fu¹,

Chen²,

Sun³

et al. 2021

PRT

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Purpose The service performance for colored asphalt pavement is inevitably affected by the addition of different colorants, especially the challenge of low temperature environment in cold regions. Therefore, the purpose of study is to explore the effects of different colorants on the service performance for colored asphalt pavement and to provide a foundation for improving the applicability of colored asphalt pavement in cold regions. Design/methodology/approach In the study, three kinds of colorants (iron oxide red, iron oxide yellow, iron oxide green) were used to compare the influence of different colorants amounts and different colorants kinds on the service performance for colored asphalt pavement in cold regions. According to the characteristics of low temperature in cold regions, the effects of different colorants on the low temperature performance for colored asphalt pavement were studied. Findings The study shows that different colorants have different effects on the service performance of colored asphalt pavement. The high temperature performance increases with the increase of the colorants amount, but the low temperature performance is opposite. Additionally, the yellow colored asphalt pavement has more advantages of low temperature adaptation than the red and green colored asphalt pavement. Originality/value The study results provide a certain theoretical foundation for the application of colored asphalt pavement in cold regions and have certain value and significance for the further development of colored asphalt pavement.

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Spatial variability modeling and reliability analysis of flexible pavement through mechanistic–empirical model

Cited by 6 publications

References 26 publications

Non-Destructive Evaluation of Asphalt Concrete Materials Performance During their Life Cycle Based on Accelerated Pavement Testing

Non-Destructive Evaluation of Asphalt Concrete Materials Performance During their Life Cycle Based on Accelerated Pavement Testing

Development of pavement roughness regression models based on smartphone measurements

Effects of different colorants on service performance for colored asphalt pavement in cold regions

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