Calibration of Mechanistic-Empirical (ME) Design Methods and Development of Statistical Performance Models for Optimized Life-Cycle Asset Management of Jointed Concrete Pavements in California

Saboori, Ashkan

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Calibration of Mechanistic-Empirical (ME) Design Methods and Development of Statistical Performance Models for Optimized Life-Cycle Asset Management of Jointed Concrete Pavements in California

2024-01-01
By Saboori, Ashkan

File Language:

English

[PDF - 27.28 MB]

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Creators:

Saboori, Ashkan
Corporate Creators:

University of California, Davis, Institute of Transportation Studies
Corporate Contributors:

California Department of Transportation ; National Center for Sustainable Transportation (NCST) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Dissertation
Geographical Coverage:

California ; United States
Corporate Publisher:

University of California, Davis. Institute of Transportation Studies
Abstract:

The primary goal of this dissertation is to develop frameworks, quantitative models, and databases to support data-driven, informed, and integrated decision-making for managing the vast transportation infrastructure in California. This research focuses on optimizing maintenance and rehabilitation (M&R) strategies for jointed plain concrete pavements (JPCP) to ensure cost-effectiveness and minimal disruption to traffic flow. The study aims to address the need for improved performance models for slab and lane replacement procedures, considering the unique environmental and traffic conditions in California.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/78561/dot_78561_DS1.pdf
File Type:

[PDF - 27.28 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:4c4d58f7cfd86c5105c7e959702c94a25d1fa62f6a09c6b8ee284d0d715b56c09cd06d30df3fc1565c6f9b709f97ee350a6e632ae28fe4c36e5b7c58b20ae803

File Language:

English

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