Computational model to predict fatigue damage behavior of asphalt mixtures under cyclic loading

Yong Rak Kim, David H. Allen, Dallas N. Little

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

Fatigue cracking and failure of inelastic heterogeneous asphalt concrete mixtures were modeled computationally with the finite element method. The model incorporates elastic behavior of the aggregate particles, viscoelastic behavior of the asphalt matrix, and time-dependent fracture both within the asphalt matrix and along boundaries between matrix and aggregate particles. Rate-dependent progressive cracking up to failure was implemented by incorporation of a cohesive zone fracture model. The resulting model was used to simulate comprehensive fatigue damage-associated mechanical behavior including microcracking, macrocracking, and eventual sample failure of several asphalt mixtures composed of different mixture constituents, which results in different damage evolution characteristics. Simulation results were compared with real fatigue testing data in both load-controlled and displacement-controlled modes and demonstrated good correlations to laboratory data with model calibrations. The approach proposed can be employed to predict complex fatigue behavior of asphalt mixtures by measurement of only fundamental material properties and fracture or damage properties of mixture constituents without recourse to expensive laboratory fatigue tests.

Original languageEnglish (US)
Title of host publicationBituminous Paving Mixtures
PublisherNational Research Council
Pages196-206
Number of pages11
Edition1970
ISBN (Print)030909979X, 9780309099790
DOIs
StatePublished - Jan 1 2006

Publication series

NameTransportation Research Record
Number1970
ISSN (Print)0361-1981

Fingerprint

Asphalt mixtures
Fatigue damage
Fatigue of materials
Asphalt
Microcracking
Asphalt concrete
Fatigue testing
Concrete mixtures
Materials properties
Calibration
Finite element method

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

Cite this

Kim, Y. R., Allen, D. H., & Little, D. N. (2006). Computational model to predict fatigue damage behavior of asphalt mixtures under cyclic loading. In Bituminous Paving Mixtures (1970 ed., pp. 196-206). (Transportation Research Record; No. 1970). National Research Council. https://doi.org/10.3141/1970-23

Computational model to predict fatigue damage behavior of asphalt mixtures under cyclic loading. / Kim, Yong Rak; Allen, David H.; Little, Dallas N.

Bituminous Paving Mixtures. 1970. ed. National Research Council, 2006. p. 196-206 (Transportation Research Record; No. 1970).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, YR, Allen, DH & Little, DN 2006, Computational model to predict fatigue damage behavior of asphalt mixtures under cyclic loading. in Bituminous Paving Mixtures. 1970 edn, Transportation Research Record, no. 1970, National Research Council, pp. 196-206. https://doi.org/10.3141/1970-23
Kim YR, Allen DH, Little DN. Computational model to predict fatigue damage behavior of asphalt mixtures under cyclic loading. In Bituminous Paving Mixtures. 1970 ed. National Research Council. 2006. p. 196-206. (Transportation Research Record; 1970). https://doi.org/10.3141/1970-23
Kim, Yong Rak ; Allen, David H. ; Little, Dallas N. / Computational model to predict fatigue damage behavior of asphalt mixtures under cyclic loading. Bituminous Paving Mixtures. 1970. ed. National Research Council, 2006. pp. 196-206 (Transportation Research Record; 1970).
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