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
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2024-01-01
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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.
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