TAMU Homepage TAMU Libraries Homepage TAMU Digital Library Homepage

Accounting for the effects of rehabilitation actions on the reliability of flexible pavements: performance modeling and optimization

Show simple item record

dc.contributor.advisor Damnjanovic, Ivan en_US
dc.contributor.advisor Gardoni, Paolo en_US
dc.creator Deshpande, Vighnesh Prakash en_US
dc.date.accessioned 2010-01-15T00:13:03Z en_US
dc.date.accessioned 2010-01-16T01:06:06Z
dc.date.available 2010-01-15T00:13:03Z en_US
dc.date.available 2010-01-16T01:06:06Z
dc.date.created 2008-08 en_US
dc.date.issued 2009-05-15 en_US
dc.identifier.uri http://hdl.handle.net/1969.1/ETD-TAMU-2921
dc.description.abstract A performance model and a reliability-based optimization model for flexible pavements that accounts for the effects of rehabilitation actions are developed. The developed performance model can be effectively implemented in all the applications that require the reliability (performance) of pavements, before and after the rehabilitation actions. The response surface methodology in conjunction with Monte Carlo simulation is used to evaluate pavement fragilities. To provide more flexibility, the parametric regression model that expresses fragilities in terms of decision variables is developed. Developed fragilities are used as performance measures in a reliability-based optimization model. Three decision policies for rehabilitation actions are formulated and evaluated using a genetic algorithm. The multi-objective genetic algorithm is used for obtaining optimal trade-off between performance and cost. To illustrate the developed model, a numerical study is presented. The developed performance model describes well the behavior of flexible pavement before as well as after rehabilitation actions. The sensitivity measures suggest that the reliability of flexible pavements before and after rehabilitation actions can effectively be improved by providing an asphalt layer as thick as possible in the initial design and improving the subgrade stiffness. The importance measures suggest that the asphalt layer modulus at the time of rehabilitation actions represent the principal uncertainty for the performance after rehabilitation actions. Statistical validation of the developed response model shows that the response surface methodology can be efficiently used to describe pavement responses. The results for parametric regression model indicate that the developed regression models are able to express the fragilities in terms of decision variables. Numerical illustration for optimization shows that the cost minimization and reliability maximization formulations can be efficiently used in determining optimal rehabilitation policies. Pareto optimal solutions obtained from multi-objective genetic algorithm can be used to obtain trade-off between cost and performance and avoid possible conflict between two decision policies. en_US
dc.format.medium electronic en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.subject Reliability en_US
dc.subject Pavements en_US
dc.subject Rehabilitation en_US
dc.subject Optimization en_US
dc.subject Regression en_US
dc.title Accounting for the effects of rehabilitation actions on the reliability of flexible pavements: performance modeling and optimization en_US
dc.type Book en
dc.type Thesis en
thesis.degree.department Civil Engineering en_US
thesis.degree.discipline Civil Engineering en_US
thesis.degree.grantor Texas A&M University en_US
thesis.degree.name Master of Science en_US
thesis.degree.level Masters en_US
dc.contributor.committeeMember Wherly, Thomas en_US
dc.type.genre Electronic Thesis en_US
dc.type.material text en_US
dc.format.digitalOrigin born digital en_US

Files in this item

Files Size Format View
DESHPANDE-THESIS.pdf 549.9Kb PDF View/Open

This item appears in the following Collection(s)

Show simple item record