Fuzzy Logic Model for Selection of Vertical Formwork Systems
Publication: Journal of Construction Engineering and Management
Volume 138, Issue 7
Abstract
Formwork systems have a considerable share in building construction costs. Accordingly, selecting an appropriate formwork system that respects project individualities plays an important yet challenging role in achieving significant cost savings. In Egypt, current practice in formwork selection primarily uses the subjective decisions of site engineers. This paper presents a fuzzy logic-based model that supports decision makers in selecting the appropriate vertical formwork system for projects. Ten commercial vertical formwork systems commonly used in Egypt are identified with the most important factors affecting their selection. The data were tabulated to serve as a knowledge-based system (KBS) to guide site engineers in selection. On the basis of the KBS, a fuzzy logic model with five input variables, representing the governing factors, is then developed to automate the selection process. The model is tested by applying it on a real-life case study. Results are acceptable and show a promising role for fuzzy logic in formwork selection.
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References
Abdel-Razek, M. E. (1999). “Formwork selection systems in building construction.” J. Eng. Appl. Sci. (Cairo Univ.)JOASDI, 46(4), 629–644.
Chao, L. C., and Skibniewski, M. J. (1998). “Fuzzy logic for evaluating alternative construction technology.” J. Constr. Eng. Manage., 124(4), 297–304.JCEMD4
El-Abbasy, M. S. (2008). “Selection of optimal formwork system in Egypt using fuzzy logic.” M.Sc. thesis, Construction and Building Engineering, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt.
Elazouni, A. M., Ali, A. E., and Abdel-Razek, R. H. (2005). “Estimating the acceptability of new formwork systems using neural network.” J. Constr. Eng. Manage.JCEMD4, 131(1), 33–41.
Elbeltagi, E. E., and Hegazy, T. (2001). “A hybrid AI-based system for site layout planning in construction.” Comput. -Aided Civ. Infrastruct. Eng.CCIEFR, 16(2), 79–93.
El-Kashif, H., Hosny, O., Ramadan, O., and El-Said, M. (2000). “An integrated model for construction projects bid evaluation in Egypt.” Proc., World Organization of Building Officials 5th Congress, World Organization of Building Officials, Calgary, Alberta, Canada.
Hanna, A. S., and Lotfallah, W. B. (1999). “A fuzzy logic approach to the selection of cranes.” Autom. Constr.AUCOES, 8(5), 597–608.
Hanna, A. S., and Sanvido, V. E. (1990). “Interactive vertical formwork selection system.” Concr. Int. Des. Constr., ACICIDCD2, 12(4), 26–32.
Hanna, A. S., and Sanvido, V. E. (1991). “Interactive horizontal formwork selection system.” Concr. Int. Des. Const.CIDCD2, 13(8), 50–56.
Hanna, A. S., and Senouci, A. B. (1995). “NEUROSLAB: Neural network system for horizontal formwork selection.” Can. J. Civ. Eng.CJCEB8, 22(4), 785–792.
Hanna, A. S., Willenbrock, J. H., and Sanvido, V. E. (1992). “Knowledge acquisition and development for formwork selection system.” J. Constr. Eng. Manage.JCEMD4, 118(1), 179–198.
Hurd, A. K. (1989). Formwork for concrete, SP-4, 5th Ed., American Concrete Institute, Detroit.
Kamarthi, S. V., Sanvido, V. E., and Kumara, S. R. (1992). “Neuroform—Neural network system for vertical formwork selection.” J. Comput. Civ. Eng., 6(2), 178–193.
MathWorks, Inc. (2006). “Fuzzy logic toolbox user’s guide, updated for version 2.2.3 (Release 2006a).” 〈http://www.mathworks.com〉 (Jan. 25, 2011).
Ross, T. J. (1995). Fuzzy logic with engineering applications, McGraw Hill, New York.
Sayed, Y. (2009). “Use of fuzzy logic for prequalification of Egyptian construction contractors.” Ph.D. dissertation, Faculty of Engineering, Helwan Univ., Cairo, Egypt.
Tam, C. M., Tong, K. L., Lau, C. T., and Chan, K. K. (2005). “Selection of vertical formwork system by probabilistic neural networks models.” J. Constr. Manage. Econ., 23(3), 245–254.
Zadeh, L. A. (1965). “Fuzzy sets.” Inf. ControlIFCNA4, 8(3), 338–353.
Zadeh, L. A. (1975a). “The concept of linguistic variable and its application to approximate reasoning: Part I.” Inf. Sci. (N. Y.)ISIJBC, 8(3), 199–249.
Zadeh, L. A. (1975b). “The concept of linguistic variable and its application to approximate reasoning: Part II.” Inf. Sci. (N. Y.)ISIJBC, 8(4), 301–357.
Zadeh, L. A. (1975c). “The concept of linguistic variable and its application to approximate reasoning: Part III.” Inf. Sci. (N. Y.)ISIJBC, 9(1), 43–80.
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© 2012. American Society of Civil Engineers.
History
Received: Dec 24, 2008
Accepted: Sep 14, 2011
Published online: Jun 15, 2012
Published in print: Jul 1, 2012
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