A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Abstract Composite steel–concrete box girders are frequently used in bridge construction for their economic and structural advantages. An integrated metaheuristic based optimization procedure is proposed for discrete size optimization of straight multi-span steel-box girders with the objective of minimizing the self-weight of the girder. The selected metaheuristic algorithm is the cuckoo search (CS) algorithm. The optimum design of a box girder is characterized by geometry, serviceability, and ultimate limit states specified by the American Association of State Highway and Transportation Officials (AASHTO). Size optimization of a practical design example investigates the efficiency of this optimization approach and leads to around 15 % of saving in material (Kaveh and Shokohi [1]).
Abstract Composite steel–concrete box girders are frequently used in bridge construction for their economic and structural advantages. An integrated metaheuristic based optimization procedure is proposed for discrete size optimization of straight multi-span steel-box girders with the objective of minimizing the self-weight of the girder. The selected metaheuristic algorithm is the cuckoo search (CS) algorithm. The optimum design of a box girder is characterized by geometry, serviceability, and ultimate limit states specified by the American Association of State Highway and Transportation Officials (AASHTO). Size optimization of a practical design example investigates the efficiency of this optimization approach and leads to around 15 % of saving in material (Kaveh and Shokohi [1]).
Optimum Design of Multi-span Composite Box Girder Bridges Using Cuckoo Search Algorithm
Kaveh, A. (author)
2016-12-02
16 pages
Article/Chapter (Book)
Electronic Resource
English
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