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Sustainable Pavement Asset Management Based on Life Cycle Models and Optimization Methods.

dc.contributor.authorZhang, Hanen_US
dc.date.accessioned2009-05-15T15:09:10Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2009-05-15T15:09:10Z
dc.date.issued2009en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/62215
dc.description.abstractPavement systems provide critical infrastructure services to society but also pose significant impacts related to high material consumption, energy inputs, and capital investment. A new pavement asset management approach, using economic, social, and environmental metrics, is proposed to enhance the sustainability of transportation infrastructure systems. This dissertation develops methods for evaluating and enhancing the sustainability of pavement infrastructure. Four methods are presented: (1) integrated life cycle assessment and life cycle cost analysis modeling of pavement overlay systems comparing new material Engineered Cementitious Composites (ECC) to conventional materials, (2) project-level pavement asset management system using life cycle optimization, (3) multi-objective and multi-constraint optimization informing policy and enhancing sustainability, and (4) network-level pavement asset management system integrated with geographic information systems. The integrated life cycle model results indicated that the application of ECC can significantly improve overlay system sustainability. Compared to conventional concrete and hot mixed asphalt (HMA) overlay systems, the ECC overlay system reduces life cycle energy consumption by 15% and 72%, greenhouse gas (GHG) emissions by 32%and 37%, and costs by 40% and 47%, respectively. A project-level pavement asset management system was developed to determine the optimal pavement preservation strategy using life cycle optimization methods. The results showed that the optimal preservation strategies reduce the total life cycle energy consumption by 5%-30%, the GHG emissions by 4%-40%, and the costs by 0.4%-12% for the concrete, ECC, and HMA overlay systems, respectively. Multi-constraint and multi-objective optimization was conducted to study the relationship between material consumption, traffic congestion, and roughness effects. The influence of fuel prices, fuel taxes and government subsidies on sustainability performance was explored and specific policy recommendations were provided. The network-level pavement asset management system provides highway agencies the capability to better maintain a well functioning pavement network and to minimize life cycle cost. A case study application showed that the optimal preservation strategy can reduce life cycle cost by 13% compared to current planning methods for the entire pavement network.en_US
dc.format.extent1690260 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectLCAen_US
dc.subjectSustainabilityen_US
dc.subjectTransportationen_US
dc.subjectPavementen_US
dc.subjectOptimizationen_US
dc.titleSustainable Pavement Asset Management Based on Life Cycle Models and Optimization Methods.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineNatural Resources and Environmenten_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberKeoleian, Gregory A.en_US
dc.contributor.committeememberBulkley, Jonathan W.en_US
dc.contributor.committeememberLi, Victor C.en_US
dc.contributor.committeememberMoore, Michael R.en_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbtoplevelScienceen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/62215/1/hanzhang_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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