Connectivity-Based Optimal Scheduling for Maintenance of Bridge Networks
Publication: Journal of Engineering Mechanics
Volume 139, Issue 6
Abstract
This paper addresses the issue of connectivity- and cost-based optimal scheduling for maintenance of bridges at the transportation network level. Previous studies in the same field have considered the connectivity just between two points or other network performance indicators, such as the total travel time. In this paper, the maximization of the total network connectivity is chosen as the objective of the optimization, together with the minimization of the total maintenance cost. From a computational point of view, several numerical tools are combined to achieve efficiency and applicability to real cases. Random field theory and numerical models for the time-dependent structural reliability are used to handle the uncertainties involved in the problem. Latin hypercube sampling is used to keep the computational effort feasible for practical applications. Genetic algorithms are used to solve the optimization problem. Numerical applications to bridge networks illustrate the characteristics of the procedure and its applicability to realistic scenarios.
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Acknowledgments
This paper is dedicated to the memory of Professor Ahmed M. Abdel-Ghaffar and the legacy of his outstanding scholarly contributions.
The support from the National Science Foundation through Grant No. CMS-0639428, the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA), and the U.S. Federal Highway Administration Cooperative Agreement Award No. DTFH61-07-H-00040 is gratefully acknowledged. The opinions and conclusions presented in this paper are those of the writers and do not necessarily reflect the views of the sponsoring organizations.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 139 • Issue 6 • June 2013
Pages: 760 - 769
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Dec 13, 2010
Accepted: Apr 28, 2011
Published online: Apr 30, 2011
Published in print: Jun 1, 2013
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