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Volumn 55, Issue 3-4, 2012, Pages 1339-1353

Application of ANFIS for analytical modeling of JIC of functionally graded steels

Author keywords

ANFIS; Austenitic FGS; Chemical concentration profile; Crack divider; ESR; Ferritic FGS; Microhardness, fracture toughness

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ANALYTICAL MODELING; ANFIS; ANFIS MODEL; AUSTENITIC; CHEMICAL COMPOSITIONS; CHEMICAL CONCENTRATION PROFILE; EXPERIMENTAL DATA; FERRITIC FGS; FUNCTIONALLY GRADED; GRADED LAYERS; INPUT PARAMETER; PLAIN CARBON STEELS; RULE OF MIXTURE; SPOT WELDED; VICKERS MICROHARDNESS;

EID: 84855203181     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2011.10.013     Document Type: Article
Times cited : (10)

References (53)
  • 1
    • 0035304158 scopus 로고    scopus 로고
    • An elasticity solution for functionally graded beams
    • Sankar B.V. An elasticity solution for functionally graded beams. Compos. Sci. Technol. 2001, 61:689-696.
    • (2001) Compos. Sci. Technol. , vol.61 , pp. 689-696
    • Sankar, B.V.1
  • 2
    • 0038265528 scopus 로고    scopus 로고
    • Cohesive fracture modeling of elastic-plastic crack growth in functionally graded materials
    • Jin Z.H., Paulino G.H., Dodds R.H. Cohesive fracture modeling of elastic-plastic crack growth in functionally graded materials. Eng. Fract. Mech. 2003, 70:1885-1912.
    • (2003) Eng. Fract. Mech. , vol.70 , pp. 1885-1912
    • Jin, Z.H.1    Paulino, G.H.2    Dodds, R.H.3
  • 37
    • 78650873094 scopus 로고    scopus 로고
    • Computer-aided prediction of physical and mechanical properties of high strength cementitious composite containing Cr2O3 nanoparticles
    • Nazari A., Riahi S. Computer-aided prediction of physical and mechanical properties of high strength cementitious composite containing Cr2O3 nanoparticles. Nano 2010, 5(5):301-318.
    • (2010) Nano , vol.5 , Issue.5 , pp. 301-318
    • Nazari, A.1    Riahi, S.2
  • 38
    • 79951555862 scopus 로고    scopus 로고
    • Prediction split tensile strength and water permeability of high strength concrete containing TiO2 nanoparticles by artificial neural network and genetic programming
    • Nazari A., Riahi S. Prediction split tensile strength and water permeability of high strength concrete containing TiO2 nanoparticles by artificial neural network and genetic programming. Composites B: Engineering 2011, 42:473-488.
    • (2011) Composites B: Engineering , vol.42 , pp. 473-488
    • Nazari, A.1    Riahi, S.2
  • 39
    • 79955136078 scopus 로고    scopus 로고
    • Computer-aided design of the effects of Fe2O3 nanoparticles on split tensile strength and water permeability of high strength concrete
    • Nazari A., Riahi S. Computer-aided design of the effects of Fe2O3 nanoparticles on split tensile strength and water permeability of high strength concrete. Mater. Des. 2011, 32:3966-3979.
    • (2011) Mater. Des. , vol.32 , pp. 3966-3979
    • Nazari, A.1    Riahi, S.2
  • 40
    • 80051784827 scopus 로고    scopus 로고
    • Modeling impact resistance of aluminum-epoxy laminated composites by ANFIS.
    • A. Nazari, N. Didehvar, Modeling impact resistance of aluminum-epoxy laminated composites by ANFIS, 42 (2011) 1912-1919.
    • (2011) , vol.42 , pp. 1912-1919
    • Nazari, A.1    Didehvar, N.2
  • 41
    • 0027601884 scopus 로고
    • ANFIS: adaptive-network-based fuzzy inference system
    • Jang J.S.R. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern 1993, 23(3):665-685.
    • (1993) IEEE Trans. Syst. Man Cybern , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.S.R.1
  • 42
    • 67349283336 scopus 로고    scopus 로고
    • Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic
    • Saridemir M. Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic. Adv. Eng. Softw. 2009, 40(9):920-927.
    • (2009) Adv. Eng. Softw. , vol.40 , Issue.9 , pp. 920-927
    • Saridemir, M.1
  • 45
    • 39149127603 scopus 로고    scopus 로고
    • Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic
    • Topcu I.B., Saridemir M. Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic. Comp. Mater. Sci. 2008, 42(1):74-82.
    • (2008) Comp. Mater. Sci. , vol.42 , Issue.1 , pp. 74-82
    • Topcu, I.B.1    Saridemir, M.2
  • 46
    • 0029273384 scopus 로고
    • Nuro-fuzzy modeling and control
    • Jang J.S.R., Sun C.T. Nuro-fuzzy modeling and control. Proc. IEEE 1995, 83(3).
    • (1995) Proc. IEEE , vol.83 , Issue.3
    • Jang, J.S.R.1    Sun, C.T.2
  • 47
    • 33746306540 scopus 로고    scopus 로고
    • Prediction of web crippling strength of cold-formed steel sheetings using neural Networks
    • Guzelbey I.H., Cevik A., Erklig A. Prediction of web crippling strength of cold-formed steel sheetings using neural Networks. J. Constr. Steel Res. 2006, 62:962-973.
    • (2006) J. Constr. Steel Res. , vol.62 , pp. 962-973
    • Guzelbey, I.H.1    Cevik, A.2    Erklig, A.3
  • 48
    • 33746283143 scopus 로고    scopus 로고
    • Prediction of rotation capacity of wide flange beams using neural networks
    • Guzelbey I.H., Cevik A., Gögüs M.T. Prediction of rotation capacity of wide flange beams using neural networks. J. Constr. Steel Res. 2006, 62:950-961.
    • (2006) J. Constr. Steel Res. , vol.62 , pp. 950-961
    • Guzelbey, I.H.1    Cevik, A.2    Gögüs, M.T.3
  • 49
    • 37549035095 scopus 로고    scopus 로고
    • Neural network modeling of strength enhancement for cfrp confined concrete cylinders
    • Cevik A., Guzelbey I.H. Neural network modeling of strength enhancement for cfrp confined concrete cylinders. Build. Serv. Environ. Eng. 2008, 43:751-763.
    • (2008) Build. Serv. Environ. Eng. , vol.43 , pp. 751-763
    • Cevik, A.1    Guzelbey, I.H.2
  • 50
    • 33846284578 scopus 로고    scopus 로고
    • A soft computing based approach for the prediction of ultimate strength of metal plates in compression
    • Cevik A., Guzelbey I.H. A soft computing based approach for the prediction of ultimate strength of metal plates in compression. Eng. Struct. 2007, 3(29):383-394.
    • (2007) Eng. Struct. , vol.3 , Issue.29 , pp. 383-394
    • Cevik, A.1    Guzelbey, I.H.2
  • 51
    • 34548514681 scopus 로고    scopus 로고
    • Application of network based neuro-fuzzy system for prediction of the strength of high strength concrete
    • C
    • Ramezanianpour A.A., Sobhani M., Sobhani J. Application of network based neuro-fuzzy system for prediction of the strength of high strength concrete. Amirkabir J. Sci. Technol. 2004, 5(59-C):78-93.
    • (2004) Amirkabir J. Sci. Technol. , vol.5 , Issue.59 , pp. 78-93
    • Ramezanianpour, A.A.1    Sobhani, M.2    Sobhani, J.3
  • 53
    • 37249005831 scopus 로고    scopus 로고
    • Prediction of compressive strength of concrete containing fly ash using artificial neural network and fuzzy logic
    • Topcu I.B., Saridemir M. Prediction of compressive strength of concrete containing fly ash using artificial neural network and fuzzy logic. Comp. Mater. Sci. 2008, 41(3):305-311.
    • (2008) Comp. Mater. Sci. , vol.41 , Issue.3 , pp. 305-311
    • Topcu, I.B.1    Saridemir, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.