메뉴 건너뛰기




Volumn 73, Issue 1, 2006, Pages 1-23

Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks - A review

Author keywords

Artificial neural networks; Mechanical behavior; Polymeric composite materials

Indexed keywords

ALGORITHMS; CREEP; DELAMINATION; FATIGUE OF MATERIALS; MATHEMATICAL MODELS; MECHANICAL PROPERTIES; NEURAL NETWORKS; RESIDUAL STRESSES; TRIBOLOGY; VIBRATION CONTROL;

EID: 30944432109     PISSN: 02638223     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruct.2005.01.020     Document Type: Article
Times cited : (217)

References (64)
  • 1
    • 0004003834 scopus 로고    scopus 로고
    • Understanding neural networks and fuzzy logic: Basic concepts and applications
    • IEEE Press
    • S.V. Kartalopoulos Understanding neural networks and fuzzy logic: Basic concepts and applications 1996 IEEE Press
    • (1996)
    • Kartalopoulos, S.V.1
  • 4
    • 0003753097 scopus 로고    scopus 로고
    • Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence
    • Englewoods Cliffs, NJ: Prentice Hall
    • J.S.R. Jang C.T. Sun E. Mizutani Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence 1997 Prentice Hall Englewoods Cliffs, NJ
    • (1997)
    • Jang, J.S.R.1    Sun, C.T.2    Mizutani, E.3
  • 10
    • 51249194645 scopus 로고
    • A logic calculus of the ideas imminent in nervous activity
    • W.W. McCulloch W. Pitts A logic calculus of the ideas imminent in nervous activity Bull Math Biophys 5 1943 115-133
    • (1943) Bull Math Biophys , vol.5 , pp. 115-133
    • McCulloch, W.W.1    Pitts, W.2
  • 11
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • F. Rosenblatt The perceptron: A probabilistic model for information storage and organization in the brain Psychol Rev 65 1958 386-408
    • (1958) Psychol Rev , vol.65 , pp. 386-408
    • Rosenblatt, F.1
  • 13
    • 0003527079 scopus 로고
    • Self-organization and associative memory
    • Berlin: Springer-Verlag
    • T. Kohonen Self-organization and associative memory 1984 Springer-Verlag Berlin
    • (1984)
    • Kohonen, T.1
  • 15
    • 0043286836 scopus 로고    scopus 로고
    • Artificial neural networks applied to polymer composites: A review
    • Z. Zhang K. Friedrich Artificial neural networks applied to polymer composites: A review Compos Sci Technol 63 2003 2029-2044
    • (2003) Compos Sci Technol , vol.63 , pp. 2029-2044
    • Zhang, Z.1    Friedrich, K.2
  • 16
    • 0035546371 scopus 로고    scopus 로고
    • Intelligent model-based control of preform permeation in liquid composite molding processes, with online optimization
    • D. Nielsen R. Pitchumani Intelligent model-based control of preform permeation in liquid composite molding processes, with online optimization Compos Part A: Appl Sci Manufactur J 32 2001 1789-1803
    • (2001) Compos Part A: Appl Sci Manufactur J , vol.32 , pp. 1789-1803
    • Nielsen, D.1    Pitchumani, R.2
  • 17
    • 0036471560 scopus 로고    scopus 로고
    • Closed-loop flow control in resin transfer molding using real-time numerical process simulations
    • D. Nielsen R. Pitchumani Closed-loop flow control in resin transfer molding using real-time numerical process simulations Compos Sci Technol J 52 2002 283-298
    • (2002) Compos Sci Technol J , vol.52 , pp. 283-298
    • Nielsen, D.1    Pitchumani, R.2
  • 18
    • 0031354114 scopus 로고    scopus 로고
    • Rapid cure simulation using artificial neural networks
    • N. Rai R. Pitchumani Rapid cure simulation using artificial neural networks Compos Part A 2A 1997 847-859
    • (1997) Compos Part A , vol.2 A , pp. 847-859
    • Rai, N.1    Pitchumani, R.2
  • 19
    • 0032041454 scopus 로고    scopus 로고
    • Monitoring the process of curing of epoxy/graphite fiber composites with a recurrent neural network as a soft sensor
    • H.B. Su L.T. Fan J.R. Schlup Monitoring the process of curing of epoxy/ graphite fiber composites with a recurrent neural network as a soft sensor Artif Intell J 11 1998 293-306
    • (1998) Artif Intell J , vol.11 , pp. 293-306
    • Su, H.B.1    Fan, L.T.2    Schlup, J.R.3
  • 20
    • 0036192512 scopus 로고    scopus 로고
    • Soft computing in multidisciplinary aerospace design - New directions for research
    • P. Hajela Soft computing in multidisciplinary aerospace design - new directions for research Prog Aerospace Sci 38 2002 1-21
    • (2002) Prog Aerospace Sci , vol.38 , pp. 1-21
    • Hajela, P.1
  • 21
    • 0027642457 scopus 로고
    • Material model for composites using neural networks
    • Technical notes
    • R.M. Pidaparti M.J. Palakal Material model for composites using neural networks. Technical notes AIAA J 31 1993 1533-1535
    • (1993) AIAA J , vol.31 , pp. 1533-1535
    • Pidaparti, R.M.1    Palakal, M.J.2
  • 24
    • 0042522926 scopus 로고    scopus 로고
    • A neural diagnostic system for measuring strain in FRP composite materials
    • R.S. Olivito A neural diagnostic system for measuring strain in FRP composite materials Cem Concr Compos 25 2003 703-709
    • (2003) Cem Concr Compos , vol.25 , pp. 703-709
    • Olivito, R.S.1
  • 25
    • 0027883618 scopus 로고
    • Failure prediction of fibre-reinforced materials with neural networks
    • P. Labossiére N. Turkkan Failure prediction of fibre-reinforced materials with neural networks J Reinforced Plast Compos 12 1993 1270-1281
    • (1993) J Reinforced Plast Compos , vol.12 , pp. 1270-1281
    • Labossiére, P.1    Turkkan, N.2
  • 26
    • 0032722381 scopus 로고    scopus 로고
    • Failure of carbon/epoxy composite tubes under combined axial and torsional loading 1. Experimental results and predictions of biaxial strength by the use of neural networks
    • C.S. Lee W. Hwang H.C. Park K.S. Han Failure of carbon/epoxy composite tubes under combined axial and torsional loading 1. Experimental results and predictions of biaxial strength by the use of neural networks Compos Sci Technol 50 1999 1779-1788
    • (1999) Compos Sci Technol , vol.50 , pp. 1779-1788
    • Lee, C.S.1    Hwang, W.2    Park, H.C.3    Han, K.S.4
  • 27
    • 0035399535 scopus 로고    scopus 로고
    • Fatigue life prediction of unidirectional glass fiber/epoxy composite laminae using neural networks
    • Y. Al-Assaf H. El Kadi Fatigue life prediction of unidirectional glass fiber/epoxy composite laminae using neural networks Compos Struct 53 2001 65-71
    • (2001) Compos Struct , vol.53 , pp. 65-71
    • Al-Assaf, Y.1    El Kadi, H.2
  • 28
    • 0036468586 scopus 로고    scopus 로고
    • Prediction of the fatigue life of unidirectional glass fiber/epoxy composite laminae using different neural network paradigms
    • H. El Kadi Y. Al-Assaf Prediction of the fatigue life of unidirectional glass fiber/epoxy composite laminae using different neural network paradigms Compos Struct 55 2002 239-246
    • (2002) Compos Struct , vol.55 , pp. 239-246
    • El Kadi, H.1    Al-Assaf, Y.2
  • 29
    • 0036659710 scopus 로고    scopus 로고
    • Energy-based fatigue life prediction of fiberglass/epoxy composites using modular neural networks
    • H. El Kadi Y. Al-Assaf Energy-based fatigue life prediction of fiberglass/epoxy composites using modular neural networks Compos Struct 57 2002 85-89
    • (2002) Compos Struct , vol.57 , pp. 85-89
    • El Kadi, H.1    Al-Assaf, Y.2
  • 31
    • 30944463331 scopus 로고    scopus 로고
    • The use of modular neural networks in the prediction of the fatigue life of fiberglass/epoxy composites
    • in preparation
    • El Kadi H, Al-Assaf Y. The use of modular neural networks in the prediction of the fatigue life of fiberglass/epoxy composites, in preparation.
    • El Kadi, H.1    Al-Assaf, Y.2
  • 32
    • 0031700537 scopus 로고    scopus 로고
    • Prediction of fatigue strength of composite laminates by means of neural network
    • F. Aymerich M. Serra Prediction of fatigue strength of composite laminates by means of neural network Key Eng Mater 144 1998 231-240
    • (1998) Key Eng Mater , vol.144 , pp. 231-240
    • Aymerich, F.1    Serra, M.2
  • 33
    • 0033360290 scopus 로고    scopus 로고
    • The use of neural networks for the prediction of fatigue lives of composite materials
    • J.A. Lee D.P. Almond B. Harris The use of neural networks for the prediction of fatigue lives of composite materials Compos Part A: Appl Sci Manufactur A30 1999 1159-1169
    • (1999) Compos Part A: Appl Sci Manufactur , vol.A30 , pp. 1159-1169
    • Lee, J.A.1    Almond, D.P.2    Harris, B.3
  • 34
    • 30944456197 scopus 로고    scopus 로고
    • NEUDESK. Available from: www.neusciences.com
    • NEUDESK. Neural Computer Sciences. Available from: www.neusciences.com.
    • Neural Computer Sciences
  • 35
    • 0037390429 scopus 로고    scopus 로고
    • Prediction of fatigue damage growth in notched composite laminates using an artificial neural network
    • S.W. Choi E.-J. Song H.T. Hahn Prediction of fatigue damage growth in notched composite laminates using an artificial neural network Compos Sci Technol 63 2003 661-675
    • (2003) Compos Sci Technol , vol.63 , pp. 661-675
    • Choi, S.W.1    Song, E.-J.2    Hahn, H.T.3
  • 37
    • 0036602208 scopus 로고    scopus 로고
    • Dynamic mechanical properties of PTFE based short carbon fibre reinforced composites: Experiments and artificial neural network prediction
    • Z. Zhang P. Klein K. Friedrich Dynamic mechanical properties of PTFE based short carbon fibre reinforced composites: Experiments and artificial neural network prediction Compos Sci Technol 62 2002 1001-1009
    • (2002) Compos Sci Technol , vol.62 , pp. 1001-1009
    • Zhang, Z.1    Klein, P.2    Friedrich, K.3
  • 38
    • 2942562769 scopus 로고    scopus 로고
    • Explicit and implicit viscoplastic models for polymeric composite
    • M.S. Al-Haik H. Garmestani A. Savran Explicit and implicit viscoplastic models for polymeric composite Int J Plast 20 2004 1875-1907
    • (2004) Int J Plast , vol.20 , pp. 1875-1907
    • Al-Haik, M.S.1    Garmestani, H.2    Savran, A.3
  • 39
    • 0038087697 scopus 로고    scopus 로고
    • Durability of a polymer matrix composite: A neural network approach
    • Ph.D. thesis, Mechanical Engineering, Florida State University, Tallahassee, FL
    • Al-Haik MS. Durability of a polymer matrix composite: A neural network approach. Ph.D. thesis, Mechanical Engineering, Florida State University, Tallahassee, FL, 2002.
    • (2002)
    • Al-Haik, M.S.1
  • 40
    • 0030243351 scopus 로고    scopus 로고
    • A neural network thrust force controller to minimize delamination during drilling of graphite-epoxy laminates
    • R. Stone K. Krishnamurthy A neural network thrust force controller to minimize delamination during drilling of graphite-epoxy laminates Int J Mach Tools Manufacture 36 1996 985-1003
    • (1996) Int J Mach Tools Manufacture , vol.36 , pp. 985-1003
    • Stone, R.1    Krishnamurthy, K.2
  • 41
    • 0030173134 scopus 로고    scopus 로고
    • Delamination prediction in composite beams with built-in piezoelectric devices using modal analysis and neural network
    • A. Okafor K. Chandrashekhara Y.P. Jiang Delamination prediction in composite beams with built-in piezoelectric devices using modal analysis and neural network Smart Mater Struct 5 1996 338-347
    • (1996) Smart Mater Struct , vol.5 , pp. 338-347
    • Okafor, A.1    Chandrashekhara, K.2    Jiang, Y.P.3
  • 43
    • 0033707376 scopus 로고    scopus 로고
    • A thick composite-beam model for delamination prediction by the use of neural networks
    • M.T. Valoor K. Chandrashekhara A thick composite-beam model for delamination prediction by the use of neural networks Compos Sci Technol 60 2000 1773-1779
    • (2000) Compos Sci Technol , vol.60 , pp. 1773-1779
    • Valoor, M.T.1    Chandrashekhara, K.2
  • 44
    • 0000391067 scopus 로고    scopus 로고
    • Dynamic learning rate neural network training and composite structural damage detection
    • H. Luo S. Hanagud Dynamic learning rate neural network training and composite structural damage detection AIAA J 35 1997 1522-1527
    • (1997) AIAA J , vol.35 , pp. 1522-1527
    • Luo, H.1    Hanagud, S.2
  • 45
    • 0033303902 scopus 로고    scopus 로고
    • Damage detection of CFRP laminates using electrical resistance measurement and neural network
    • D.-C. Seo J.-J. Lee Damage detection of CFRP laminates using electrical resistance measurement and neural network Compos Struct 47 1999 525-530
    • (1999) Compos Struct , vol.47 , pp. 525-530
    • Seo, D.-C.1    Lee, J.-J.2
  • 46
    • 0035477478 scopus 로고    scopus 로고
    • The effect of number of electrodes and diagnostic tool for monitoring the delamination of CFRP laminates by changes in electrical resistance
    • A. Todoroki The effect of number of electrodes and diagnostic tool for monitoring the delamination of CFRP laminates by changes in electrical resistance Compos Sci Technol 61 2001 1871-1880
    • (2001) Compos Sci Technol , vol.61 , pp. 1871-1880
    • Todoroki, A.1
  • 47
    • 0035480505 scopus 로고    scopus 로고
    • Optimal ultrasonic pulse repetition rate for damage detection in plates using neural networks
    • A.C. Okafor A. Dutta Optimal ultrasonic pulse repetition rate for damage detection in plates using neural networks NDT&E Int 34 2001 469-481
    • (2001) NDT&E Int , vol.34 , pp. 469-481
    • Okafor, A.C.1    Dutta, A.2
  • 48
    • 0035859134 scopus 로고    scopus 로고
    • Adaptive multilayer perceptron networks for detection of cracks in anisotropic laminated plates
    • Y.G. Xu G.R. Liu Z.P. Wu X.M. Huang Adaptive multilayer perceptron networks for detection of cracks in anisotropic laminated plates Int J Solids Struct 38 2001 5625-5645
    • (2001) Int J Solids Struct , vol.38 , pp. 5625-5645
    • Xu, Y.G.1    Liu, G.R.2    Wu, Z.P.3    Huang, X.M.4
  • 49
    • 0031995849 scopus 로고    scopus 로고
    • Ultrasonic scanning and acoustic emission of composite tubes subjected to multiaxial loading
    • Z. Prevorovsky M. Landa M. Blahacek D. Varchon J. Rousseau L. Ferry et al. Ultrasonic scanning and acoustic emission of composite tubes subjected to multiaxial loading Ultrasonics 36 1998 531-537
    • (1998) Ultrasonics , vol.36 , pp. 531-537
    • Prevorovsky, Z.1    Landa, M.2    Blahacek, M.3    Varchon, D.4    Rousseau, J.5    Ferry, L.6
  • 50
    • 2642530149 scopus 로고    scopus 로고
    • Identification of failure modes in GFRP using PVDF sensors: ANN approach
    • H.N. Bar M.R. Bhat C.R.L. Murthy Identification of failure modes in GFRP using PVDF sensors: ANN approach Compos Struct 65 2004 231-237
    • (2004) Compos Struct , vol.65 , pp. 231-237
    • Bar, H.N.1    Bhat, M.R.2    Murthy, C.R.L.3
  • 51
    • 0031628395 scopus 로고    scopus 로고
    • Estimation of contact force on composite plates using impact-induced strain and neural networks
    • K. Chandrashekhara A.C. Okafor Y.P. Jiang Estimation of contact force on composite plates using impact-induced strain and neural networks Compos Part B: Eng 29B 1998 363-370
    • (1998) Compos Part B: Eng , vol.29 B , pp. 363-370
    • Chandrashekhara, K.1    Okafor, A.C.2    Jiang, Y.P.3
  • 52
    • 0034291590 scopus 로고    scopus 로고
    • Wear volume prediction with artificial neural networks
    • K. Velten R. Reinicke K. Friedrich Wear volume prediction with artificial neural networks Tribol Int 33 2000 731-736
    • (2000) Tribol Int , vol.33 , pp. 731-736
    • Velten, K.1    Reinicke, R.2    Friedrich, K.3
  • 53
    • 0036530936 scopus 로고    scopus 로고
    • Prediction on tribological properties of short fibre composites using artificial neural networks
    • Z. Zhang K. Friedrich K. Velten Prediction on tribological properties of short fibre composites using artificial neural networks Wear 252 2002 668-675
    • (2002) Wear , vol.252 , pp. 668-675
    • Zhang, Z.1    Friedrich, K.2    Velten, K.3
  • 54
    • 0030083118 scopus 로고    scopus 로고
    • System identification and control of smart structures using neural networks
    • G.-S. Lee System identification and control of smart structures using neural networks Acta Astronaut 38 1996 269-276
    • (1996) Acta Astronaut , vol.38 , pp. 269-276
    • Lee, G.-S.1
  • 55
    • 0031117118 scopus 로고    scopus 로고
    • Robust vibration control of composite beams using piezoelectric devices and neural networks
    • C.P. Smyser K. Chandrashekhara Robust vibration control of composite beams using piezoelectric devices and neural networks Smart Mater Struct 6 1997 178-189
    • (1997) Smart Mater Struct , vol.6 , pp. 178-189
    • Smyser, C.P.1    Chandrashekhara, K.2
  • 56
    • 0035850787 scopus 로고    scopus 로고
    • Self-adaptive vibration control of smart composite beams using recurrent neural architecture
    • M.T. Valoor K. Chandrashekhara S. Agarwal Self-adaptive vibration control of smart composite beams using recurrent neural architecture Int J Solids Struct 38 2001 7857-7874
    • (2001) Int J Solids Struct , vol.38 , pp. 7857-7874
    • Valoor, M.T.1    Chandrashekhara, K.2    Agarwal, S.3
  • 57
    • 0003470286 scopus 로고
    • Fuzzy logic with engineering applications
    • McGraw-Hill
    • T. Ross Fuzzy logic with engineering applications 1995 McGraw-Hill
    • (1995)
    • Ross, T.1
  • 58
    • 0027544110 scopus 로고
    • A fuzzy-logic based approach to qualitative modeling
    • M. Sugeno T. Yasukawa A fuzzy-logic based approach to qualitative modeling IEEE Trans Fuzzy Syst 1 1993 1
    • (1993) IEEE Trans Fuzzy Syst , vol.1 , pp. 1
    • Sugeno, M.1    Yasukawa, T.2
  • 59
    • 0005200820 scopus 로고
    • Damage assessment of composite structures - A fuzzy logic integrated neural network approach
    • A.S. Ramu V.T. Johnson Damage assessment of composite structures - a fuzzy logic integrated neural network approach Comp Struct 57 1995 491-502
    • (1995) Comp Struct , vol.57 , pp. 491-502
    • Ramu, A.S.1    Johnson, V.T.2
  • 60
    • 30944446514 scopus 로고    scopus 로고
    • NISA. Engineering Mechanics Research Corporation. Available from
    • NISA. Engineering Mechanics Research Corporation. Available from: http://www.emrc.com.
  • 61
    • 0035501261 scopus 로고    scopus 로고
    • Neural fuzzy analysis of delaminated composites from shearography imaging
    • H.O. Nyongesa A.W. Otieno P.L. Rosin Neural fuzzy analysis of delaminated composites from shearography imaging Compos Struct 54 2001 313-318
    • (2001) Compos Struct , vol.54 , pp. 313-318
    • Nyongesa, H.O.1    Otieno, A.W.2    Rosin, P.L.3
  • 62
    • 0035501491 scopus 로고    scopus 로고
    • A fuzzy set analysis for a fracture and fatigue damage response of composite materials
    • A. Muc P. Kedziora A fuzzy set analysis for a fracture and fatigue damage response of composite materials Compos Struct 54 2001 283-287
    • (2001) Compos Struct , vol.54 , pp. 283-287
    • Muc, A.1    Kedziora, P.2
  • 63
    • 0036302663 scopus 로고    scopus 로고
    • Neuro-fuzzy modeling of fatigue life prediction of unidirectional glass fibre/epoxy composite laminates
    • M.A. Jarrah Y. Al-Assaf H. El Kadi Neuro-fuzzy modeling of fatigue life prediction of unidirectional glass fibre/epoxy composite laminates J Compos Mater 36 2002 685-700
    • (2002) J Compos Mater , vol.36 , pp. 685-700
    • Jarrah, M.A.1    Al-Assaf, Y.2    El Kadi, H.3
  • 64
    • 0027601884 scopus 로고
    • ANFIS: Adaptive network based fuzzy inference systems
    • J.R. Jang ANFIS: Adaptive network based fuzzy inference systems IEEE Trans Syst Man Cybernet 23 1993 665-685
    • (1993) IEEE Trans Syst Man Cybernet , vol.23 , pp. 665-685
    • Jang, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.