376
Views
6
CrossRef citations to date
0
Altmetric
Articles

Dynamic response analysis of viscoelastic pavement using differential quadrature element method

ORCID Icon, ORCID Icon, &
Pages 1321-1335 | Received 09 Dec 2017, Accepted 01 Nov 2018, Published online: 15 Nov 2018
 

ABSTRACT

This paper proposes a methodology which is composed of differential quadrature element method (DQEM) and Newmark’s time integration scheme for response analysis of viscoelastic pavement under vehicular loads. An incremental form of Boltzmann’s correspondence principle together with the generalised Maxwell–Wiechert model is employed to simulate the viscoelastic stress-dependent behaviour of asphalt concrete. The obtained incremental constitutive relations and equations of motion under the axisymmetric conditions are discretised using the DQEM and Newmark’s scheme in the spatial and temporal domain, respectively. A computer code based on the presented formulation is developed to provide the numerical results. The fast rate of convergence of the method is numerically demonstrated, and its high accuracy is exhibited by comparing the results with existing solutions in the literature, and also with those of ABAQUS software. Finally, the axisymmetric viscoelastic pavement under vehicular loading with different asphalt materials and thicknesses, and different values of the load duration of vehicles are analysed both quasi-statically and dynamically.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 225.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.