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Effects of truck traffic on top-down fatigue cracking performance of flexible pavements using a new mechanics-based analysis framework
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.ORCID iD: 0000-0001-7174-7214
Aston University, UK.ORCID iD: 0000-0003-0889-6078
2016 (English)In: International Journal on Road Materials and Pavement Design, ISSN 1468-0629, E-ISSN 2164-7402Article in journal (Refereed) Epub ahead of print
Abstract [en]

The mechanics-based analysis framework predicts top-down fatigue cracking initiation timein asphalt concrete pavements by utilising fracture mechanics and mixture morphology-basedproperty. To reduce the level of complexity involved, traffic data were characterised and incorporatedinto the framework using the equivalent single axle load (ESAL) approach. There isa concern that this kind of simplistic traffic characterisation might result in erroneous performancepredictions and pavement structural designs. This paper integrates axle load spectraand other traffic characterisation parameters into the mechanics-based analysis framework andstudies the impact these traffic characterisation parameters have on predicted fatigue crackingperformance. The traffic characterisation inputs studied are traffic growth rate, axle load spectra,lateral wheel wander and volume adjustment factors. For this purpose, a traffic integrationapproach which incorporates Monte Carlo simulation and representative traffic characterisationinputs was developed. The significance of these traffic characterisation parameters wasestablished by evaluating a number of field pavement sections. It is evident from the resultsthat all the traffic characterisation parameters except truck wheel wander have been observedto have significant influence on predicted top-down fatigue cracking performance.

Place, publisher, year, edition, pages
Taylor & Francis, 2016.
Keyword [en]
asphalt pavement, axle load spectra, ESAL, fatigue, mechanics-based, Monte Carlo
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:kth:diva-196873DOI: 10.1080/14680629.2016.1251958OAI: oai:DiVA.org:kth-196873DiVA: diva2:1049490
Note

QC 20161129

Available from: 2016-11-24 Created: 2016-11-24 Last updated: 2016-11-29Bibliographically approved
In thesis
1. Mechanics-based Design Framework for Flexible Pavements
Open this publication in new window or tab >>Mechanics-based Design Framework for Flexible Pavements
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Load induced top-down fatigue cracking has been recognized recently as a major distress phenomenon in asphalt pavements. This paper presents a mechanics-based design framework in load and resistance factor design (LRFD) format for the top-down fatigue cracking performance evaluation of flexible pavements. This was achieved by enhancing further the hot mix asphalt fracture mechanics (HMA-FM) model through the incorporation of mixture morphology influence on key fracture properties, and incorporating partial safety factors to account for variabilities and uncertainties. The analysis framework was calibrated and validated using pavement sections that have high quality laboratory data and well documented field performance histories. Moreover, as traffic volume was identified in having a dominant influence on predicted performance, a further investigation was performed to establish and evaluate truck traffic characterization parameters effect on predicted results.

A two-component reliability analysis methodology, which uses central composite design (CCD) based response surface approach for surrogate model generation and the first order reliability method (FORM) for reliability estimation was used for the development of the LRFD mechanics-based design framework. The effectiveness of the design framework was investigated through design examples, and the results have shown that the formulated partial safety factors have accounted effectively the variabilities involved in the design process. Further investigation was performed to establish the influence design inputs variabilities have on target reliabilities through case studies that combine input variabilities in a systematic way. It was observed from the results that the coefficient of variation (COV) level of the variability irrespective of the distribution type used have a significant influence on estimated target reliability.

Abstract [sv]

Lastinducerade utmattningssprickor från ytan har nyligen identifierats som en betydande brottmekanism i asfaltbeläggningar. Denna avhandling presenterar ett mekanik-baserat ramverk i last- och motståndsfaktorer konstruktionsformat (LRFD) för utvärdering av utmattningssprickor från ytan för asfaltsbeläggningar. Detta uppnåddes genom att ytterligare förbättra brottmekanikmodellen för varmblandad asfalt (HMA-FM) genom integreringen av blandingens morfologieffekt på brottegenskaper samt säkerhetsfaktorer för att beakta variabilitet och osäkerheter. Ramverket kalibrerades och validerades med hjälp av vägar med säkerställda egenskaper och väldokumenterad prestanda. Eftersom trafikvolymen identifierades att ha ett dominerande inflytande på förväntad prestanda, utfördes vidare en utredning för att fastställa effekten av lastbilstrafikens karakteriseringsparametrar på förutsedd prestanda.

Tillförlitlighetsanalysen uppnåddes genom att implementera en tvåkomponents tillförlitlighetsanalys där en metod som kallas ”central composite design” (CCD), vilken skapar en surrogatmodell, och första ordningens tillförlitlighetsmetod (FORM) för beräkning av tillförlitligheten. Effektiviteten i det mekanik-baserade konstruktionsramverket undersöktes genom konstruktionsexempel och resultaten har tydligt visat att de formulerade partialkoefficienter effektivt har beaktat variabiliteten inom konstruktionsprocessen. Ytterligare undersökningar utfördes för att fastställa påverkan som indatas variabilitet har på den förutbestämda tillförlitligheten genom fallstudier där indatans variabilitet ändras systematiskt. Det observerades från resultaten att variabilitetens variationskoefficient (COV) har en signifikant inverkan på tillförlitligheten, oberoende av fördelningstyp.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 59 p.
Series
TRITA-JOB. PHD, 1024
Keyword
Mechanics-based, asphalt, fatigue, reliability, traffic, variability, Mekanik-baserade, utmattningssprickor, pålitlighet, lastbilstrafiken, variabilitet
National Category
Infrastructure Engineering
Research subject
Civil and Architectural Engineering
Identifiers
urn:nbn:se:kth:diva-196883 (URN)978-91-7729-223-4 (ISBN)
Public defence
2016-12-16, K1, Teknikringen 56, Stockholm, 10:30 (English)
Opponent
Supervisors
Funder
Swedish Transport Administration
Note

QC 20161125

Available from: 2016-11-25 Created: 2016-11-24 Last updated: 2016-11-25Bibliographically approved

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