|Title:||A resilience-based approach for optimizing pavement maintenance strategies|
|Advisors:||Hsu, Shu-chien (CEE)|
Leng, Zhen (CEE)
|Subject:||Pavements -- Maintenance and repair -- Cost effectivness.|
Roads -- Maintenance and repair -- Cost effectivness.
Hong Kong Polytechnic University -- Dissertations
|Department:||Department of Civil and Environmental Engineering|
|Pages:||vi, 89 pages : illustrations (some color)|
|Abstract:||Pavement maintenance is becoming more severe, since the increasing amount of pavement caused by civilization encounters limited pavement preservation budget. Therefore, finding the cost-effective strategies for pavement maintenance becomes imminently necessary. In this dissertation, a resilience-and-cost based approach (RCBA) is developed for optimizing pavement maintenance strategies, and realizing the maximum functionality of pavement in an economically efficient way. With the assistance of exhaustion algorithm (EA) and score & rank (S&R) method by programming and EXCEL functions, the objectives to maximize pavement resilience and minimize total generalized present cost are achieved. A case study is applied to assess the Cross-Harbor Tunnel (CHT) pavement in Hong Kong, which suffers from damages caused by long-term fatigues, high temperature and moisture, and even traffic accidents. This case study shows how and when to apply asphalt concrete overlay on the CHT pavement can lead to the highest resilience and the lowest total generalized present cost. Results of the analysis infer that choosing the right time to apply maintenance promotes much more pavement performance than selecting the better maintenance method to improve pavement does, and a little agency investment on pavement rehabilitation can gain enormous benefit for society and the environment. The general framework of this dissertation can provide decision makers with optimal strategies for other pavements maintenance.|
|Rights:||All rights reserved|
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|b28183149.pdf||For All Users (off-campus access for PolyU Staff & Students only)||884.05 kB||Adobe PDF||View/Open|
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