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

Bibliographic Details
Main Author: Deshpande, Vighnesh Prakash
Other Authors: Damnjanovic, Ivan D. (Thesis advisor), Gardoni, Paolo (Thesis advisor)
Format: Thesis eBook
Language:English
Published: [College Station, Tex.] : [Texas A&M University], [2010]
Subjects:
Online Access:Link to OAK Trust copy

MARC

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099 |a 2008  |a Thesis  |a 1969.1/ETD-TAMU-2921 
100 1 |a Deshpande, Vighnesh Prakash. 
245 1 0 |a Accounting for the effects of rehabilitation actions on the reliability of flexible pavements :  |b performance modeling and optimization /  |c by Vighnesh Prakash Deshpande. 
264 1 |a [College Station, Tex.] :  |b [Texas A&M University],  |c [2010] 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a "Major Subject: Civil Engineering" 
500 |a Title from author supplied metadata (automated record created 2010-03-12 12:08:51). 
502 |b Master of Science  |c Texas A&M University  |d 2008  |o http://hdl.handle.net/1969.1/ETD-TAMU-2921 
504 |a Includes bibliographical references. 
516 |a Text (Thesis) 
520 3 |a 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. 
500 |a Electronic resource. 
650 4 |a Major civil engineering. 
653 |a Rehabilitation 
653 |a Reliability 
653 |a Optimization 
653 |a Pavements 
653 |a Regression 
700 1 |a Damnjanovic, Ivan D.,  |e thesis advisor. 
700 1 |a Gardoni, Paolo,  |e thesis advisor. 
856 4 0 |u http://hdl.handle.net/1969.1/ETD-TAMU-2921  |z Link to OAK Trust copy  |t 0 
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952 f f |a Texas A&M University  |b College Station  |c Electronic Resources  |d Available Online  |t 0  |e 2008 Thesis 1969.1/ETD-TAMU-2921  |h Other scheme 
998 f f |a 2008 Thesis 1969.1/ETD-TAMU-2921  |t 0  |l Available Online