Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness

Pavement distresses are induced by mechanistic responses in pavement structure subjected to dynamic loads of moving vehicles. Pavement surface evenness deteriorates as pavement distresses propagate, which results in dynamic axle loads and faster pavement deterioration. It is vital to consider the dy...

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Main Authors: Jingnan Zhao, Hao Wang, Pan Lu, Jiaqi Chen
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/5/2600
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author Jingnan Zhao
Hao Wang
Pan Lu
Jiaqi Chen
author_facet Jingnan Zhao
Hao Wang
Pan Lu
Jiaqi Chen
author_sort Jingnan Zhao
collection DOAJ
description Pavement distresses are induced by mechanistic responses in pavement structure subjected to dynamic loads of moving vehicles. Pavement surface evenness deteriorates as pavement distresses propagate, which results in dynamic axle loads and faster pavement deterioration. It is vital to consider the dynamic axle load spectra to predict pavement deterioration using traffic-monitoring data. This study aimed to evaluate the effect of dynamic loads and overweight traffic on asphalt pavement overlay performance using mechanistic–empirical (M–E) pavement analysis. The relationship between dynamic load coefficients (DLCs), axle loads, and international roughness index (IRI) was obtained for accurate quantification of dynamic axle loads. Then the dynamic axle load spectra were derived by shifting the static axle load spectra in weigh-in-motion (WIM) data, given the DLC value. AASHTOWare Pavement ME software was used to analyze pavement performance with static and dynamic axle load spectra, and the impact of overweight traffic on asphalt pavement overlay performance. The impact of dynamic loads on reflective fatigue cracking was distinguished at an early stage of the service period and eliminated after the 10-year analysis period, when the propagation of reflective cracking reached a specific level. On the other hand, the consideration of dynamic axle loads increased the impact of overweight truck traffic on pavement distresses, and pavement structures of major highways tend to be more sensitive to overweight traffic because of greater DLC excitement at higher operational speeds.
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spelling doaj.art-981fba356b7f499eab35734e985fec832023-11-23T22:43:22ZengMDPI AGApplied Sciences2076-34172022-03-01125260010.3390/app12052600Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal UnevennessJingnan Zhao0Hao Wang1Pan Lu2Jiaqi Chen3Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USADepartment of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USADepartment of Transportation, Logistics, and Finance, Upper Great Plain Transportation Institute, North Dakota State University, Fargo, ND 58105, USADepartment of Civil Engineering, Central South University, Changsha 410017, ChinaPavement distresses are induced by mechanistic responses in pavement structure subjected to dynamic loads of moving vehicles. Pavement surface evenness deteriorates as pavement distresses propagate, which results in dynamic axle loads and faster pavement deterioration. It is vital to consider the dynamic axle load spectra to predict pavement deterioration using traffic-monitoring data. This study aimed to evaluate the effect of dynamic loads and overweight traffic on asphalt pavement overlay performance using mechanistic–empirical (M–E) pavement analysis. The relationship between dynamic load coefficients (DLCs), axle loads, and international roughness index (IRI) was obtained for accurate quantification of dynamic axle loads. Then the dynamic axle load spectra were derived by shifting the static axle load spectra in weigh-in-motion (WIM) data, given the DLC value. AASHTOWare Pavement ME software was used to analyze pavement performance with static and dynamic axle load spectra, and the impact of overweight traffic on asphalt pavement overlay performance. The impact of dynamic loads on reflective fatigue cracking was distinguished at an early stage of the service period and eliminated after the 10-year analysis period, when the propagation of reflective cracking reached a specific level. On the other hand, the consideration of dynamic axle loads increased the impact of overweight truck traffic on pavement distresses, and pavement structures of major highways tend to be more sensitive to overweight traffic because of greater DLC excitement at higher operational speeds.https://www.mdpi.com/2076-3417/12/5/2600mechanistic-empirical pavement analysisdynamic load coefficientinternational roughness indexflexible pavement
spellingShingle Jingnan Zhao
Hao Wang
Pan Lu
Jiaqi Chen
Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness
Applied Sciences
mechanistic-empirical pavement analysis
dynamic load coefficient
international roughness index
flexible pavement
title Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness
title_full Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness
title_fullStr Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness
title_full_unstemmed Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness
title_short Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness
title_sort mechanistic empirical analysis of pavement performance considering dynamic axle load spectra due to longitudinal unevenness
topic mechanistic-empirical pavement analysis
dynamic load coefficient
international roughness index
flexible pavement
url https://www.mdpi.com/2076-3417/12/5/2600
work_keys_str_mv AT jingnanzhao mechanisticempiricalanalysisofpavementperformanceconsideringdynamicaxleloadspectraduetolongitudinalunevenness
AT haowang mechanisticempiricalanalysisofpavementperformanceconsideringdynamicaxleloadspectraduetolongitudinalunevenness
AT panlu mechanisticempiricalanalysisofpavementperformanceconsideringdynamicaxleloadspectraduetolongitudinalunevenness
AT jiaqichen mechanisticempiricalanalysisofpavementperformanceconsideringdynamicaxleloadspectraduetolongitudinalunevenness