Modeling of transfer length of prestressing strands using genetic programming and neuro-fuzzy
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[1] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[2] İlker Bekir Topçu,et al. Prediction of rubberized concrete properties using artificial neural network and fuzzy logic , 2008 .
[3] Mohsen A. Shahawy,et al. Strand Transfer Lengths in Full Scale AASHTO Prestressed Concrete Girders , 1992 .
[4] S. Emerson,et al. AASHTO (American Association of State Highway and Transportation Officials). 2001. A Policy on Geometric Design of Highways and Streets. Fourth Edition. Washington, D.C. , 2007 .
[5] A. E. Tercan,et al. Spatial estimation of some mechanical properties of rocks by fuzzy modelling , 2007 .
[6] Denis Mitchell,et al. INFLUENCE OF HIGH STRENGTH CONCRETE ON TRANSFER AND DEVELOPMENT LENGTH OF PRETENSIONING STRAND , 1993 .
[7] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[8] C. Kayadelen,et al. Adaptive neuro-fuzzy modeling for the swelling potential of compacted soils , 2009 .
[9] Paul H. Kaar,et al. EFFECT OF STRAND BLANKETING ON PERFORMANCE OF PRETENSIONED GIRDERS , 1965 .
[10] Cândida Ferreira,et al. Gene Expression Programming: A New Adaptive Algorithm for Solving Problems , 2001, Complex Syst..
[11] Bryan E. Little,et al. American Association of State Highway and Transportation Officials. Highway Drainage Guidelines American Association of State Highway and Transportation Officials. LRFD Bridge Design Specifications , 2000 .
[12] William R. Burkett,et al. Formulation of new development length equation for 0.6 in. prestressing strand , 2005 .
[13] Norman W. Hanson,et al. Flexural Bond Tests of Pretensioned Prestressed Beams , 1959 .
[14] N H Burns,et al. DESIGN GUIDELINES FOR TRANSFER, DEVELOPMENT AND DEBONDING OF LARGE DIAMETER SEVEN WIRE STRANDS IN PRETENSIONED CONCRETE GIRDERS. FINAL REPORT , 1993 .
[15] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[16] David Muñoz González. Discovering unknown equations that describe large data sets using genetic programming techniques , 2005 .
[17] K. P. Sudheer,et al. Ultimate bearing capacity prediction of shallow foundations on cohesionless soils using neurofuzzy models , 2008 .
[18] Liliana Teodorescu,et al. High Energy Physics event selection with Gene Expression Programming , 2008, Comput. Phys. Commun..
[19] S. Gross,et al. TRANSFER AND DEVELOPMENT LENGTH OF 15.2 MM (0.6 IN.) DIAMETER PRESTRESSING STRAND IN HIGH PERFORMANCE CONCRETE: RESULTS OF THE HOBLITZELL-BUCKNER BEAM TESTS , 1995 .
[20] Holger R. Maier,et al. Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy models , 2003 .
[21] Abdulkadir Cevik,et al. A new formulation for longitudinally stiffened webs subjected to patch loading , 2007 .
[22] M E Kreger,et al. A STUDY OF PRETENSIONED HIGH STRENGTH CONCRETE GIRDERS IN COMPOSITE HIGHWAY BRIDGES--LABORATORY TESTS. INTERIM REPORT , 1988 .
[23] William R. Burkett,et al. Evaluation of Code Requirement for 0.6 in. (15 mm) Prestressing Strand , 2005 .