154
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Development of an enhanced pavement mechanistic-empirical analysis tool for developing structural deterioration models

, ORCID Icon &
Article: 2132246 | Received 30 May 2022, Accepted 28 Sep 2022, Published online: 18 Oct 2022
 

ABSTRACT

AASHTO's Pavement Mechanistic-Empirical Design (PME) inserts the computed structural responses in the calibrated transfer functions to predict pavement distresses. However, the asphalt layer modulus is not adjusted based on the accumulated fatigue damage over the design period. This limitation negatively impacts the mechanistic part of the design procedure, making the predicted distresses more dependent on the reliability of transfer functions in the empirical part. Besides, computing actual pavement responses assists in forecasting structural deficiencies over the analysis period and planning the optimal treatment scenario through a multi-year prioritisation at the network level. Hence, a standalone application called Enhanced-PME (EPME) was developed in this study which accounts for the deterioration in asphalt layer modulus due to the accumulated fatigue damage and computes the representative pavement responses. EPME extracts traffic data, climate conditions, and material characteristics from the PME while modifying the asphalt layer modulus using a user-defined damage function. Also, a structural deterioration model for predicting effective structural number is developed in this study to demonstrate the application of EPME. The SN prediction model is validated and then implemented in two case studies, highlighting the benefits of utilising structural deterioration models in the Pavement Management System (PMS).

Disclosure statement

No potential conflict of interest was reported by the author(s).

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.