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http://dx.doi.org/10.12989/sem.2019.72.4.503

Cost optimization of segmental precast concrete bridges superstructure using genetic algorithm  

Ghiamat, R. (Civil Engineering group, Pardis College, Isfahan University of Technology)
Madhkhan, M. (Department of Civil Engineering, Isfahan University of Technology)
Bakhshpoori, T. (Faculty of Technology and Engineering, Department of Civil Engineering, East of Guilan, University of Guilan)
Publication Information
Structural Engineering and Mechanics / v.72, no.4, 2019 , pp. 503-512 More about this Journal
Abstract
The construction of segmental precast concrete bridge is an increase due to its superior performance and economic advantages. This type of bridge is appropriate for spans within 30 to 150 m (100 to 500 ft), known as mega-projects and the design optimization would lead to considerable economic benefits. A box-girder cross section superstructure of balanced cantilever construction method is assessed here. The depth of cross section, (variable along the span linearly), bottom flange thickness, and the count of strands are considered as design variables. The optimum design is characterized by geometry, serviceability, ductility, and ultimate limit states specified by AASHTO. Genetic algorithm (GA) is applied in two fronts: as to the saving in construction cost 8% and as to concrete volume 6%. The sensitivity analysis is run by considering different parameters like span/depth ratio, relation between superstructure cost, span length and concrete compressive strength.
Keywords
segmental precast posttensioned concrete bridge; box girder; optimization; genetic algorithm;
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Times Cited By KSCI : 6  (Citation Analysis)
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