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Title:

Calibration of a Mechanistic-Empirical Cracking Model Using Network-Level Field Data

Accession Number:

01847477

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

At the core of a mechanistic-empirical (M-E) pavement design method is a collection of performance models that each predicts the development of a specific pavement distress, such as fatigue cracking and surface rutting. Each model has both mechanistic and empirical parts. The empirical parts need to be calibrated to remove bias and increase prediction accuracy. This process has traditionally been conducted with small numbers of field sections for which materials may or may not have been sampled and tested. This paper presents a new calibration approach that uses network-level field data and statewide distributions of material properties, without having to sample and test every individual calibration section. The calibration of the fatigue and reflection cracking models for CalME, the M-E design software developed for the California Department of Transportation, is used as an example to illustrate the new approach. The new approach works by correlating the statistical distributions of M-E design inputs with the statistical distribution of pavement performance, both at the network level. The uncertainties affecting pavement performance are divided into those specific to a given project (within-project variability) and those that vary between projects (between-project variability). This distinction allows a clear definition of design reliability. The results showed that the new approach can overcome some of the network-level data limitations and provides a reasonable calibration ready for routine pavement design.

Supplemental Notes:

Rongzong Wu https://orcid.org/0000-0001-7364-7583 © National Academy of Sciences: Transportation Research Board 2022.

Language:

English

Authors:

Wu, Rongzong

ORCID 0000-0001-7364-7583

Harvey, John

ORCID 0000-0002-8924-6212

Lea, Jeremy

ORCID 0000-0003-3445-8661

Jones, David

ORCID 0000-0002-2938-076X

Louw, Stephanus

ORCID 0000-0002-1021-7110

Mateos, Angel

ORCID 0000-0002-3614-2858

Hernandez-Fernandez, Noe

ORCID 0000-0002-5103-3836

Shrestha, Raghubar
Holland, Joe

Pagination:

pp 127-139

Publication Date:

2022-12

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2676
Issue Number: 12
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (15)

Identifier Terms:

CaIME (Software)

Subject Areas:

Design; Highways; Pavements

Files:

TRIS, TRB, ATRI

Created Date:

May 25 2022 3:02PM