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Mechanics-based Design Framework for Flexible Pavements
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics. (Soil and Rock Mechanics)ORCID iD: 0000-0001-7174-7214
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 [en]
Mechanics-based, asphalt, fatigue, reliability, traffic, variability
Keyword [sv]
Mekanik-baserade, utmattningssprickor, pålitlighet, lastbilstrafiken, variabilitet
National Category
Infrastructure Engineering
Research subject
Civil and Architectural Engineering
Identifiers
URN: urn:nbn:se:kth:diva-196883ISBN: 978-91-7729-223-4OAI: oai:DiVA.org:kth-196883DiVA: diva2:1049507
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
List of papers
1. Mechanics-based Topdown Fatigue Cracking Initiation Prediction Framework for Asphaltic Pavements
Open this publication in new window or tab >>Mechanics-based Topdown Fatigue Cracking Initiation Prediction Framework for Asphaltic Pavements
2015 (English)In: International Journal on Road Materials and Pavement Design, ISSN 1468-0629Article in journal (Other academic) Submitted
National Category
Infrastructure Engineering
Identifiers
urn:nbn:se:kth:diva-164887 (URN)
Note

QS 2015

Available from: 2015-04-20 Created: 2015-04-20 Last updated: 2016-11-24Bibliographically approved
2. Effects of truck traffic on top-down fatigue cracking performance of flexible pavements using a new mechanics-based analysis framework
Open this publication in new window or tab >>Effects of truck traffic on top-down fatigue cracking performance of flexible pavements using a new mechanics-based analysis framework
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
asphalt pavement, axle load spectra, ESAL, fatigue, mechanics-based, Monte Carlo
National Category
Infrastructure Engineering
Identifiers
urn:nbn:se:kth:diva-196873 (URN)10.1080/14680629.2016.1251958 (DOI)
Note

QC 20161129

Available from: 2016-11-24 Created: 2016-11-24 Last updated: 2016-11-29Bibliographically approved
3. Reliability-based calibration for a mechanics-based fatigue cracking design procedure
Open this publication in new window or tab >>Reliability-based calibration for a mechanics-based fatigue cracking design procedure
2016 (English)In: International Journal on Road Materials and Pavement Design, ISSN 1468-0629, E-ISSN 2164-7402, Vol. 17, no 3, 529-546 p.Article in journal (Other academic) Published
Abstract [en]

This paper presents a new reliability-based code calibration in load resistance factor design (LRFD) format for the mechanics-based fatigue cracking analysis framework. The pavement design procedure incorporates an appropriate failure criterion and design period. Moreover, it provides uniform performance at the desired level of reliability while considering the inherent variabilities and uncertainties involved. A number of field pavement sections with well documented performance histories and high quality field and laboratory data were used for this purpose. Moreover, a reliability computation methodology that incorporates a central composite design (CCD) response surface approach (RS) is proposed. Appropriate statistical characterization of the dominant design parameters was performed considering its key role in reliability analysis. A first order reliability method (FORM) was used to compute pavement performance reliability and to establish the partial safety factors of the design procedure. Illustrative examples based on the developed LRFD procedure have demonstrated clearly its capacity of delivering designs with uniform reliability.

Place, publisher, year, edition, pages
Taylor & Francis, 2016
Keyword
LRFD, top-down cracking, pavement design, CCD, response surface, FORM
National Category
Infrastructure Engineering
Identifiers
urn:nbn:se:kth:diva-165276 (URN)10.1080/14680629.2015.1094397 (DOI)000379747600001 ()2-s2.0-84976334795 (ScopusID)
Note

QC 20160818

Available from: 2015-04-24 Created: 2015-04-24 Last updated: 2016-12-08Bibliographically approved
4. Design inputs variabilities influence on pavement performance reliability
Open this publication in new window or tab >>Design inputs variabilities influence on pavement performance reliability
2016 (English)In: Functional Pavement Design / [ed] Erkens et al. (Eds), 2016, 741-750 p.Conference paper (Refereed)
Abstract [en]

Pavement design is a probabilistic process as it involves many random variables.Through the incorporation of reliability, pavement design methods consider inputparameters variabilities effect on pavement performance. Load and Resistance Factor Design(LRFD) is a typical example of reliability-based design procedure. In LRFD, a set of partialsafety factors are developed by modelling input parameters variabilities with representativeaverage conditions. This paper evaluates the impact input parameters variabilities have onestimated target reliability in the case when actual variabilities are different from assumedconditions. This was achieved by evaluating a field pavement section with various combinationsof input parameters variabilities. The optimized section for a given target reliability wasachieved through the mechanics-based LRFD procedure and the actual reliabilities of thevarious cases were obtained using a methodology that uses response surface approach andfirst order reliability method (FORM). The results have shown that the level of input parametersvariabilities used affect the target reliability considerably.

National Category
Infrastructure Engineering
Research subject
Civil and Architectural Engineering
Identifiers
urn:nbn:se:kth:diva-196879 (URN)978-1-138-02924-8 (ISBN)
Conference
The 4th Chinese European Workshop
Note

QC 20161129

Available from: 2016-11-24 Created: 2016-11-24 Last updated: 2016-11-29Bibliographically approved

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