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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.

Abstract

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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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Computational Science, Engineering & Technology Series ISSN 1759-3158 CSETS: 32 CIVIL AND STRUCTURAL ENGINEERING COMPUTATIONAL METHODS Edited by: Y. Tsompanakis, P. Iványi and B.H.V. Topping Chapter 6 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 doi:10.4203/csets.32.6 purchase the full-text of this chapter Full Bibliographic Reference for this chapter 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. Abstract 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. purchase the full-text of this chapter (price £20) go to the previous chapter go to the next chapter return to the table of contents return to the book description purchase this book (price £75 +P&P)
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