메뉴 건너뛰기




Volumn 24, Issue 2, 2009, Pages 145-156

Comparison of structural deterioration models for stormwater drainage pipes

Author keywords

[No Author keywords available]

Indexed keywords

DETERIORATION; DRAINAGE; NEURAL NETWORKS;

EID: 58049201701     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2008.00577.x     Document Type: Article
Times cited : (41)

References (39)
  • 4
    • 13944265044 scopus 로고    scopus 로고
    • Predicting cost deviation in reconstruction projects: Artificial neural networks versus regression
    • Attalla, M. & Hegazy, T. (2003), Predicting cost deviation in reconstruction projects: Artificial neural networks versus regression, Journal of Construction Engineering and Management, ASCE, 129(4), 405-11.
    • (2003) Journal of Construction Engineering and Management, ASCE , vol.129 , Issue.4 , pp. 405-411
    • Attalla, M.1    Hegazy, T.2
  • 5
    • 31144448600 scopus 로고    scopus 로고
    • Estimating transition probabilities in Markov chain-based deterioration models for management of wastewater systems
    • Baik, H. S., Jeong, H. S. & Abraham, D. M. (2006), Estimating transition probabilities in Markov chain-based deterioration models for management of wastewater systems, Journal of Water Resources Planning and Management, ASCE, 132(1), 15-24.
    • (2006) Journal of Water Resources Planning and Management, ASCE , vol.132 , Issue.1 , pp. 15-24
    • Baik, H.S.1    Jeong, H.S.2    Abraham, D.M.3
  • 8
    • 0035156667 scopus 로고    scopus 로고
    • The structural condition of rigid sewer pipes: A statistical investigation
    • Davies, J. P., Clarke, B. A. & Whiter, J. T. (2001), The structural condition of rigid sewer pipes: A statistical investigation, Urban Water, 3, 277-86.
    • (2001) Urban Water , vol.3 , pp. 277-286
    • Davies, J.P.1    Clarke, B.A.2    Whiter, J.T.3
  • 9
    • 58049208660 scopus 로고    scopus 로고
    • Behaviour of large-diameter line pipe under combined loads
    • Ph.D. thesis, University of Alberta, Canada
    • DelCol, P. R. (1998), Behaviour of large-diameter line pipe under combined loads, Ph.D. thesis, University of Alberta, Canada.
    • (1998)
    • DelCol, P.R.1
  • 11
    • 0003245013 scopus 로고    scopus 로고
    • State of the art in sensor technologies for sewer inspection
    • Duran, O., Althoefer, K. & Seneviratne, L. D. (2002), State of the art in sensor technologies for sewer inspection, IEEE Sensors Journal, 2(2), 73-81.
    • (2002) IEEE Sensors Journal , vol.2 , Issue.2 , pp. 73-81
    • Duran, O.1    Althoefer, K.2    Seneviratne, L.D.3
  • 12
    • 33846313147 scopus 로고    scopus 로고
    • Automated pipe defect detection and categorization using camera/ laser-based profiler and artificial neural network
    • Duran, O., Althoefer, K. & Seneviratne, L. D. (2007), Automated pipe defect detection and categorization using camera/laser-based profiler and artificial neural network, IEEE Transactions on Automation Science and Engineering, 4(1), 118-26.
    • (2007) IEEE Transactions on Automation Science and Engineering , vol.4 , Issue.1 , pp. 118-126
    • Duran, O.1    Althoefer, K.2    Seneviratne, L.D.3
  • 13
    • 33746411237 scopus 로고    scopus 로고
    • Engineers Australia The Institution of Engineers, Australia
    • Engineers Australia (2001), Australia Infrastructure Report Card, The Institution of Engineers, Australia.
    • (2001) Australia Infrastructure Report Card
  • 14
    • 10644230902 scopus 로고    scopus 로고
    • Soft computing applications in infrastructure management
    • Flintsch, G. W. & Chen, C. (2004), Soft computing applications in infrastructure management, Journal of Infrastructure Systems, ASCE, 10(4), 157-66.
    • (2004) Journal of Infrastructure Systems, ASCE , vol.10 , Issue.4 , pp. 157-166
    • Flintsch, G.W.1    Chen, C.2
  • 16
    • 0035577599 scopus 로고    scopus 로고
    • Scheduling inspection and renewal of large infrastructure assets
    • Kleiner, Y. (2001), Scheduling inspection and renewal of large infrastructure assets, Journal of Infrastructure Systems, ASCE, 7(4), 136-43.
    • (2001) Journal of Infrastructure Systems, ASCE , vol.7 , Issue.4 , pp. 136-143
    • Kleiner, Y.1
  • 17
    • 0034608991 scopus 로고    scopus 로고
    • Predicting shrimp disease occurrence: Artificial neural networks vs. logistic regression
    • Leung, P. & Tran, L. T. (2000), Predicting shrimp disease occurrence: Artificial neural networks vs. logistic regression, Aquaculture, 187(1-2), 35-49.
    • (2000) Aquaculture , vol.187 , Issue.1-2 , pp. 35-49
    • Leung, P.1    Tran, L.T.2
  • 18
    • 20444455803 scopus 로고    scopus 로고
    • Accelerated assessment and fuzzy evaluation of concrete durability
    • Li, Z., Chau, C. K. & Zhou, X. (2005), Accelerated assessment and fuzzy evaluation of concrete durability, Journal of Materials in Civil Engineering, ASCE, 17(3), 257-63.
    • (2005) Journal of Materials in Civil Engineering, ASCE , vol.17 , Issue.3 , pp. 257-263
    • Li, Z.1    Chau, C.K.2    Zhou, X.3
  • 19
    • 0035577886 scopus 로고    scopus 로고
    • Application of neural network model to forecast short-term pavement crack condition: Florida case study
    • Lou, Z., Gunaratne, M., Lu, J. J. & Dietrich, B. (2001), Application of neural network model to forecast short-term pavement crack condition: Florida case study, Journal of Infrastructure Systems, ASCE, 7(4), 166-71.
    • (2001) Journal of Infrastructure Systems, ASCE , vol.7 , Issue.4 , pp. 166-171
    • Lou, Z.1    Gunaratne, M.2    Lu, J.J.3    Dietrich, B.4
  • 20
    • 38349169113 scopus 로고
    • Estimation of infrastructure transition probabilities from condition rating data
    • Madanat, S., Mishalani, R. & Ibrahim, W. H. (1995), Estimation of infrastructure transition probabilities from condition rating data, Journal of Infrastructure Systems, ASCE, 1(2), 120-25.
    • (1995) Journal of Infrastructure Systems, ASCE , vol.1 , Issue.2 , pp. 120-125
    • Madanat, S.1    Mishalani, R.2    Ibrahim, W.H.3
  • 21
    • 34748821667 scopus 로고    scopus 로고
    • The effect of thornthwaite moisture index changes on ground movement predictions in Australia soils
    • McManus, K. J., Lopes, D. & Osman, Y. N. (2004), The effect of thornthwaite moisture index changes on ground movement predictions in Australia soils, The 9th Australia New Zealand Conference on Geomechanics, 1, 675-80.
    • (2004) The 9th Australia New Zealand Conference on Geomechanics , vol.1 , pp. 675-680
    • McManus, K.J.1    Lopes, D.2    Osman, Y.N.3
  • 22
    • 17444418202 scopus 로고    scopus 로고
    • Behaviour of underground piping joints due to static and dynamic loading
    • Ph.D. thesis, University of Nevada
    • Meis, R. D. (2003), Behaviour of underground piping joints due to static and dynamic loading, Ph.D. thesis, University of Nevada.
    • (2003)
    • Meis, R.D.1
  • 24
    • 0036929240 scopus 로고    scopus 로고
    • Computation of infrastructure transition probabilities using stochastic duration models
    • Mishalani, R. G. & Madanat, S. M. (2002), Computation of infrastructure transition probabilities using stochastic duration models, Journal of Infrastructure Systems, ASCE, 8(4), 139-48.
    • (2002) Journal of Infrastructure Systems, ASCE , vol.8 , Issue.4 , pp. 139-148
    • Mishalani, R.G.1    Madanat, S.M.2
  • 26
    • 27944459305 scopus 로고    scopus 로고
    • Pipeline condition prediction using neural network models
    • Najafi, M. & Kulandaivel, G. (2005), Pipeline condition prediction using neural network models, Pipelines 2005, ASCE, 767-75.
    • (2005) Pipelines 2005, ASCE , pp. 767-775
    • Najafi, M.1    Kulandaivel, G.2
  • 27
    • 0037102687 scopus 로고    scopus 로고
    • Illuminating the 'black box': A randomization approach for understanding variable contributions in artificial neural network
    • Olden, D. J. & Jackson, A. D. (2002), Illuminating the 'black box': A randomization approach for understanding variable contributions in artificial neural network, Ecological Modelling Journal, 3, 135-50.
    • (2002) Ecological Modelling Journal , vol.3 , pp. 135-150
    • Olden, D.J.1    Jackson, A.D.2
  • 28
    • 3242721368 scopus 로고    scopus 로고
    • An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
    • Olden, D. J., Joy, K. M. & Death, G. R. (2004), An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data, Ecological Modelling Journal, 17(8), 389-97.
    • (2004) Ecological Modelling Journal , vol.17 , Issue.8 , pp. 389-397
    • Olden, D.J.1    Joy, K.M.2    Death, G.R.3
  • 29
    • 34047171604 scopus 로고    scopus 로고
    • Neural network models for earthquake magnitude prediction using multiple seismicity indicators
    • Panakkat, A. & Adeli, H. (2007), Neural network models for earthquake magnitude prediction using multiple seismicity indicators, International Journal of Neural Systems, 17(1), 13-33.
    • (2007) International Journal of Neural Systems , vol.17 , Issue.1 , pp. 13-33
    • Panakkat, A.1    Adeli, H.2
  • 32
    • 0037335895 scopus 로고    scopus 로고
    • Empirical-mechanistic method based stochastic modelling of fatigure damage to predict flexible pavement cracking for transportation infrastructure management
    • Sun, L., Hudson, W. R. & Zhang, Z. (2003), Empirical-mechanistic method based stochastic modelling of fatigure damage to predict flexible pavement cracking for transportation infrastructure management, Journal of Transportation Engineering, ASCE, 129(2), 109-17.
    • (2003) Journal of Transportation Engineering, ASCE , vol.129 , Issue.2 , pp. 109-117
    • Sun, L.1    Hudson, W.R.2    Zhang, Z.3
  • 33
    • 2242479452 scopus 로고    scopus 로고
    • Earthquake effects on buried lifeline systems
    • Ph.D. thesis, Cornell University
    • Toprak, S. (1998), Earthquake effects on buried lifeline systems, Ph.D. thesis, Cornell University.
    • (1998)
    • Toprak, S.1
  • 37
  • 38
    • 33746387139 scopus 로고    scopus 로고
    • WSAA Water Service Association of Australia, Melbourne, Australia
    • WSAA (2002), Sewer Inspection Reporting Code of Australia, Water Service Association of Australia, Melbourne, Australia.
    • (2002) Sewer Inspection Reporting Code of Australia
  • 39
    • 58049210159 scopus 로고    scopus 로고
    • WSAA Water Service Association of Australia, Melbourne, Australia
    • WSAA (2006), Conduit Inspection Reporting Code of Australia, Water Service Association of Australia, Melbourne, Australia.
    • (2006) Conduit Inspection Reporting Code of Australia


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.