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 <titleInfo>
  <title>The Use of MINLP to Determine Optimal Preservation Strategies for Road Links Composed of Pavement Sections and Bridges</title>
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 <name type="Personal Name" authority="">
  <namePart>Lethanh, N.</namePart>
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  <publisher>Taylor &amp; Francis</publisher>
  <dateIssued>2012</dateIssued>
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  <languageTerm type="code">en</languageTerm>
  <languageTerm type="text">English</languageTerm>
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  <title>Bridge Maintenance, Safety, Management, Resilience And Sustainability</title>
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 <note>Effective management of road links composed of road sections and bridges requires the determination&#13;
of preservation strategies that maximize stakeholder benefits. Solving such an optimization problem&#13;
is challenging since the objective function and constraints are mostly non-linear, and the execution of interventions&#13;
is discrete. This type of problem can, however, be solved using mixed-integer nonlinear programming&#13;
(MINLP) methods. In this paper it is illustrated how MINLP methods can be used to determine optimal&#13;
preservation strategies for road links composed of road sections and bridges. The objective function is the&#13;
minimization of the costs incurred during and between the executions of interventions by different stakeholders,&#13;
and includes accident costs, travel time costs, vehicle costs and environmental costs. The conditions of the&#13;
objects in the road link are represented using performance indicators and the changes in condition over time&#13;
are modeled as continuous functions. The use of the MINLP methods is illustrated by determining the optimal&#13;
preservation strategies for a fictive road link consisting of 2 road sections and 1 bridge that are each subjected&#13;
to gradual deterioration processes.</note>
 <subject authority="">
  <topic>BRIDGES</topic>
 </subject>
 <classification>624.21(063)</classification>
 <identifier type="isbn"></identifier>
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  <physicalLocation>Perpustakaan Direktorat Bina Teknik Jalan dan Jembatan Direktorat Jenderal Bina Marga - Kementerian Pekerjaan Umum (NPP: 3273244A00000001)</physicalLocation>
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