期刊
JOURNAL OF INFRASTRUCTURE SYSTEMS
卷 16, 期 4, 页码 310-322出版社
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)IS.1943-555X.0000042
关键词
Optimization; Dynamic programming; Pavement overlays; Life-cycle assessment; Greenhouse gas emissions
资金
- NSF Materials Use: Science, Engineering, and Society (MUSES) [CMS-0223971, CMS-0329416]
- MUSES
Preservation (maintenance and rehabilitation) strategy is the critical factor controlling pavement performance. A life-cycle optimization (LCO) model was developed to determine an optimal preservation strategy for a pavement overlay system and to minimize the total life-cycle energy consumption, greenhouse gas (GHG) emissions, and costs within an analysis period. Using dynamic programming optimization techniques, the LCO model integrates dynamic life-cycle assessment and life-cycle cost analysis models with an autoregressive pavement overlay deterioration model. To improve sustainability in pavement design, a promising alternative material for pavement overlays, engineered cementitious composites (ECCs), was studied. The LCO model was applied to an ECC overlay system, a concrete overlay system, and a hot mixed asphalt (HMA) overlay system. The LCO results show that the optimal preservation strategies will reduce the total life-cycle energy consumption by 5-30%, GHG emissions by 4-40%, and costs by 0.4-12% for the concrete, ECC, and HMA overlay systems compared to the current Michigan Department of Transportation preservation strategies, respectively. The impact of traffic growth on the optimal preservation strategies was also explored.
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