Cost optimization and sensitivity analysis of composite beams
Abstract
This study presents exact solution analysis for the cost optimization of Composite Beams (CB) based on the Load and Resistance Factor Design (LRFD) specifications. Matlab code formulation is applied to analysis of sensitivity for various parameters such as cost of concrete, steel beam, span length, concrete slab thickness, compressive strength of concrete, steel beams space and shear connectors on CB. Almost 20 thousands design were analysed to obtain various contour which be found that it is feasible, efficient and effective and capable in optimization of composite beam designs.
The obtained results represent that many of the contour are capable by achieving substantial cost savings for composite materials. Therefore, the analysis can be developed for practical designs to structural designers. A parametric study was also conducted to investigate the effects of IPE, IPB, INP profiles, UNP size and thickness of slabs and beam length on the cost optimization of CB.
Keywords
References
KIM H, ADELI H. Discrete cost optimization of composite floors using a floating-point genetic algorithm. Engineering Optimization. 2001;33(4):485-501.
Kaveh A, Behnam A. Cost optimization of a composite floor system, one-way waffle slab, and concrete slab formwork using a charged system search algorithm. Scientia Iranica. 2012;19(3):410-6.
Kaveh A, Ahangaran M. Discrete cost optimization of composite floor system using social harmony search model. Applied Soft Computing. 2012;12(1):372-81.
Kaveh A, Massoudi M. Cost optimization of a composite floor system using ant colony system. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2012;36(C2):139-48.
Klanšek U, Kravanja S. Cost estimation, optimization and competitiveness of different composite floor systems—part 1: self-manufacturing cost estimation of composite and steel structures. Journal of Constructional Steel Research. 2006;62(5):434-48.
Wang K-H, Liou Y-C, Yang D-Y. Cost optimization and sensitivity analysis of the machine repair problem with variable servers and balking. Procedia-Social and Behavioral Sciences. 2011;25:178-88.
Kravanja S, Šilih S. Optimization based comparison between composite I beams and composite trusses. Journal of constructional steel research. 2003;59(5):609-25.
Jármai K, Farkas J. Cost calculation and optimisation of welded steel structures. Journal of Constructional Steel Research. 1999;50(2):115-35.
Adeli H, Kim H. Cost optimization of composite floors using neural dynamics model. Communications in numerical methods in engineering. 2001;17(11):771-87.
Sarma KC, Adeli H. Cost optimization of concrete structures. Journal of Structural Engineering. 1998;124(5):570-8.
Senouci AB, Al-Ansari MS. Cost optimization of composite beams using genetic algorithms. Advances in Engineering Software. 2009;40(11):1112-8.
Sarma KC, Adeli H. Fuzzy discrete multicriteria cost optimization of steel structures. Journal of structural engineering. 2000;126(11):1339-47.
Koo K, D’Amico R, Pluymers B, Desmet W. Design sensitivity analysis and optimization of frequency averaged input power using the residue theorem. Computers & Structures. 2014;145:58-71.
Coronado CA, Lopez MM. Sensitivity analysis of reinforced concrete beams strengthened with FRP laminates. Cement and Concrete Composites. 2006;28(1):102-14.
Mínguez R, Castillo E, Castillo C, Losada MA. Optimal cost design with sensitivity analysis using decomposition techniques. Application to composite breakwaters. Structural Safety. 2006;28(4):321-40.
Castillo E, Mínguez R, Castillo C. Sensitivity analysis in optimization and reliability problems. Reliability Engineering & System Safety. 2008;93(12):1788-800.
Saleeb A, Wilt T, Al-Zoubi N, Gendy A. An anisotropic viscoelastoplastic model for composites—sensitivity analysis and parameter estimation. Composites Part B: Engineering. 2003;34(1):21-39.
Ren H, Gao W, Ruan Y. Economic optimization and sensitivity analysis of photovoltaic system in residential buildings. Renewable energy. 2009;34(3):883-9.
Castillo C, Mínguez R, Castillo E, Losada M. An optimal engineering design method with failure rate constraints and sensitivity analysis. Application to composite breakwaters. Coastal Engineering. 2006;53(1):1-25.
DOI: 10.28991/cej-2016-00000012
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Copyright (c) 2016 Hamid Eskandari, Tahereh Korouzhdeh
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