Lee, Jinwoo (2015) Joint optimization of pavement management and reconstruction policies for segment and system problems. PhD thesis, University of California, USA.
Abstract
This dissertation presents a methodology for the joint optimization of a variety of pavement construction and management activities for segment and system problems under multiple budget constraints. The objective of pavement management is to minimize the total discounted life time costs for the agency and the highway users by finding optimal policies. The scope of the dissertation is focused on continuous time and continuous state formulations of pavement condition. We use a history-dependent pavement deterioration model to account for the influence of history on the deterioration rate. Three topics, representing different aspects of the problem are covered in the dissertation. In the first part, the subject is the joint optimization of pavement design, maintenance and rehabilitation (M&R) strategies for the segment-level problem. A combination of analytical and numerical tools is proposed to solve the problem. In the second part of the dissertation, we present a methodology for the joint optimization of pavement maintenance, rehabilitation and reconstruction (MR&R) activities for the segment-level problem. The majority of existing Pavement Management Systems (PMS) do not optimize reconstruction jointly with maintenance and rehabilitation policies. We show that not accounting for reconstruction in maintenance and rehabilitation planning results in suboptimal policies for pavements undergoing cumulative damage in the underlying layers (base, sub-base or subgrade). We propose dynamic programming solutions using an augmented state which includes current surface condition and age. In the third part, we propose a methodology for the joint optimization of rehabilitation and reconstruction activities for heterogeneous pavement systems under multiple budget constraints. Within a bottom-up solution approach, Genetic Algorithm (GA) is adopted. The complexity of the algorithm is polynomial in the size of the system and the policy-related parameters.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Madanat, Samer M; Daganzo, Carlos F and Leachman, Robert C |
| Uncontrolled Keywords: | civil engineering; transportation; operations research; history-dependent pavement deterioration; optimization; pavement maintenance; pavement reconstruction; pavement rehabilitation; segment and system problems |
| Index terms: | pavement construction, budget constraint, reconstruction, dissertation, dynamic programming, strategy, deterioration, pavement design, genetic algorithm, management system, accounting, operations research, history, agency, complexity, methodology |
| Subjects: | research dissemination and communication, economic analysis, infrastructure engineering, algorithms, research methods, transportation engineering, building construction, design methods, material degradation and durability, financial and cost management, architectural and construction history, management, systems engineering, sociology |
| Topics: | Engineering Principles, Cost Management, Business Strategy, Research Practice, Construction Materials, Organizational Design, Design Practice, Digital Applications |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here