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CIVIL AND STRUCTURAL ENGINEERING COMPUTATIONAL METHODS
Edited by: Y. Tsompanakis, P. Iványi and B.H.V. Topping
Application of Genetic Algorithms to the Life-cycle Management Optimization of Civil and Marine Infrastructure Systems
D.M. Frangopol and M. Soliman
Department of Civil and Environmental Engineering, ATLSS, Engineering Research Center, Lehigh University, Bethlehem, Pennsylvania, United States of America
D.M. Frangopol, M. Soliman, "Application of Genetic Algorithms to the Life-cycle Management Optimization of Civil and Marine Infrastructure Systems", in Y. Tsompanakis, P. Iványi and B.H.V. Topping, (Editors), "Civil and Structural Engineering Computational Methods", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 6, pp 117-128, 2013. doi:10.4203/csets.32.6
Keywords: genetic algorithms, life-cycle optimization, inspection scheduling, maintenance scheduling.
Civil and marine infrastructure systems such as highway bridges and naval ships are subjected during normal operation to various environmental and mechanical stressors resulting in their structural deterioration. Given the scarcity of financial resources for maintaining such systems, this deterioration poses continuous threats to the social and economic welfare. In this context, life-cycle management and optimization concepts offer the best means for the effective management of deteriorating structural systems. This process simultaneously considers various financial, safety, and environmental constraints to find the optimal management solutions on the component, system and network levels. For these advanced management procedures, genetic algorithms (GAs) have proven to offer the robustness and flexibility required for the integration into the life-cycle management framework. This chapter presents recent applications of GAs to the life-cycle management optimization of civil and marine infrastructure systems with emphasis on highway bridges, naval ships, and networks of damaged structures.
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