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Volumn 134, Issue , 2015, Pages 157-168

A dynamic Bayesian network based approach to safety decision support in tunnel construction

Author keywords

Construction safety; Diagnostic analysis; Dynamic Bayesian network (DBN); Predictive analysis; Sensitivity analysis; Tunnel construction

Indexed keywords

BAYESIAN NETWORKS; CONCURRENCY CONTROL; DECISION SUPPORT SYSTEMS; PREDICTIVE ANALYTICS; SENSITIVITY ANALYSIS;

EID: 84910134100     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2014.10.021     Document Type: Article
Times cited : (167)

References (44)
  • 4
    • 46749139910 scopus 로고    scopus 로고
    • Analysis and design of partial ground improvement in deep excavations
    • Ou C, Teng F, Wang W. Analysis and design of partial ground improvement in deep excavations. Comput Geotech 2008;35:576-84.
    • (2008) Comput Geotech , vol.35 , pp. 576-584
    • Ou, C.1    Teng, F.2    Wang, W.3
  • 5
    • 40749086090 scopus 로고    scopus 로고
    • Deep excavation-induced ground surface movement characteristics - A numerical investigation
    • Yoo C, Lee D. Deep excavation-induced ground surface movement characteristics - a numerical investigation. Comput Geotech 2008;35:231-52.
    • (2008) Comput Geotech , vol.35 , pp. 231-252
    • Yoo, C.1    Lee, D.2
  • 7
    • 13944259748 scopus 로고    scopus 로고
    • Integrated methodology for project risk management
    • Alfredo Del Ca NOPE. Integrated methodology for project risk management. J Constr Eng Manage 2002;128:473-85.
    • (2002) J Constr Eng Manage , vol.128 , pp. 473-485
    • Del Ca Nope, A.1
  • 8
    • 56949094272 scopus 로고    scopus 로고
    • Towards system for the management of safety on board artisanal fishing vessels: Proposal for check-lists and their application
    • Piniella F, Fern A, Ndez-Engo MA. Towards system for the management of safety on board artisanal fishing vessels: proposal for check-lists and their application. Saf Sci 2009;47:265-76.
    • (2009) Saf Sci , vol.47 , pp. 265-276
    • Piniella, F.1    Fern, A.2    Ndez-Engo, M.A.3
  • 9
    • 79955584261 scopus 로고    scopus 로고
    • Using Bayesian networks for root cause analysis in statistical process control
    • Alaeddini A, Dogan I. Using Bayesian networks for root cause analysis in statistical process control. Expert Syst Appl 2011;38:11230-43.
    • (2011) Expert Syst Appl , vol.38 , pp. 11230-11243
    • Alaeddini, A.1    Dogan, I.2
  • 10
    • 79955735775 scopus 로고    scopus 로고
    • Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches
    • Khakzad N, Khan F, Amyotte P. Safety analysis in process facilities: comparison of fault tree and Bayesian network approaches. Reliab Eng Syst Saf 2011;96:925-32.
    • (2011) Reliab Eng Syst Saf , vol.96 , pp. 925-932
    • Khakzad, N.1    Khan, F.2    Amyotte, P.3
  • 12
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman D, Geiger D, Chickering DM. Learning Bayesian networks: the combination of knowledge and statistical data. Mach Learn 1995;20:197-243.
    • (1995) Mach Learn , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 14
    • 84870919402 scopus 로고    scopus 로고
    • Dynamic Bayesian network for probabilistic modeling of tunnel excavation processes
    • Špačková O, Straub D. Dynamic Bayesian network for probabilistic modeling of tunnel excavation processes. Comput-Aided Civ Infrastruct Eng 2013;28:1-21.
    • (2013) Comput-Aided Civ Infrastruct Eng , vol.28 , pp. 1-21
    • Špačková, O.1    Straub, D.2
  • 15
    • 84859434921 scopus 로고    scopus 로고
    • Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
    • Weber P, Medina-Oliva G, Simon C, Iung B. Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas. Eng Appl Artif Intell 2012;25:671-82.
    • (2012) Eng Appl Artif Intell , vol.25 , pp. 671-682
    • Weber, P.1    Medina-Oliva, G.2    Simon, C.3    Iung, B.4
  • 16
    • 84903946197 scopus 로고    scopus 로고
    • Bayesian-network-based safety risk analysis in construction projects
    • Zhang L, Wu X, Skibniewski MJ, Zhong J, Lu Y. Bayesian-network-based safety risk analysis in construction projects. Reliab Eng Syst Saf 2014;131:29-39.
    • (2014) Reliab Eng Syst Saf , vol.131 , pp. 29-39
    • Zhang, L.1    Wu, X.2    Skibniewski, M.J.3    Zhong, J.4    Lu, Y.5
  • 17
    • 0043011943 scopus 로고    scopus 로고
    • Application of Bayesian decision networks to life cycle engineering in Green design and manufacturing
    • Zhu JY, Deshmukh A. Application of Bayesian decision networks to life cycle engineering in Green design and manufacturing. Eng Appl Artif Intell 2003;16:91-103.
    • (2003) Eng Appl Artif Intell , vol.16 , pp. 91-103
    • Zhu, J.Y.1    Deshmukh, A.2
  • 20
    • 39749155904 scopus 로고    scopus 로고
    • RADYBAN: A tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks
    • Montani S, Portinale L, Bobbio A, Codetta-Raiteri D. RADYBAN: a tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks. Reliab Eng Syst Saf 2008;93:922-32.
    • (2008) Reliab Eng Syst Saf , vol.93 , pp. 922-932
    • Montani, S.1    Portinale, L.2    Bobbio, A.3    Codetta-Raiteri, D.4
  • 23
    • 78049528824 scopus 로고    scopus 로고
    • An integrated safety prognosis model for complex system based on dynamic Bayesian network and ant colony algorithm
    • Hu J, Zhang L, Ma L, Liang W. An integrated safety prognosis model for complex system based on dynamic Bayesian network and ant colony algorithm. Expert Syst Appl 2011;38:1431-46.
    • (2011) Expert Syst Appl , vol.38 , pp. 1431-1446
    • Hu, J.1    Zhang, L.2    Ma, L.3    Liang, W.4
  • 26
    • 13944251751 scopus 로고    scopus 로고
    • Capturing safety knowledge using designfor- safety-process tool
    • Hadikusumo BHW, Rowlinson S. Capturing safety knowledge using designfor- safety-process tool. J Constr Eng Manage 2004;130:281-9.
    • (2004) J Constr Eng Manage , vol.130 , pp. 281-289
    • Hadikusumo, B.H.W.1    Rowlinson, S.2
  • 27
    • 33745686465 scopus 로고    scopus 로고
    • Knowledge management for occupational safety, health, and ergonomics
    • Sherehiy B, Karwowski W. Knowledge management for occupational safety, health, and ergonomics. Hum Factors Ergon Manuf Serv Ind 2006;16:309-19.
    • (2006) Hum Factors Ergon Manuf Serv Ind , vol.16 , pp. 309-319
    • Sherehiy, B.1    Karwowski, W.2
  • 28
    • 34247558132 scopus 로고    scopus 로고
    • Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters
    • Cawley GC, Talbot NLC. Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters. J Mach Learn Res 2007;8:841-61.
    • (2007) J Mach Learn Res , vol.8 , pp. 841-861
    • Cawley, G.C.1    Talbot, N.L.C.2
  • 29
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper GF, Herskovits E. A Bayesian method for the induction of probabilistic networks from data. Mach Learn 1992;9:309-47.
    • (1992) Mach Learn , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 30
    • 0343773001 scopus 로고    scopus 로고
    • Learning Bayesian network parameters from small data sets: Application of Noisy-OR gates
    • Onisko A, Druzdzel MJ, Wasyluk H. Learning Bayesian network parameters from small data sets: application of Noisy-OR gates. Int J Approximate Reasoning 2001;27:165-82.
    • (2001) Int J Approximate Reasoning , vol.27 , pp. 165-182
    • Onisko, A.1    Druzdzel, M.J.2    Wasyluk, H.3
  • 31
  • 32
    • 33645980673 scopus 로고    scopus 로고
    • Learning parameters of Bayesian networks from incomplete data via importance sampling
    • Riggelsen C. Learning parameters of Bayesian networks from incomplete data via importance sampling. Int J Approximate Reasoning 2006;42:69-83.
    • (2006) Int J Approximate Reasoning , vol.42 , pp. 69-83
    • Riggelsen, C.1
  • 34
    • 84950758368 scopus 로고
    • The calculation of posterior distributions by data augmentation
    • Tanner MA, Wong WH. The calculation of posterior distributions by data augmentation. J Am Stat Assoc 1987:528-40.
    • (1987) J Am Stat Assoc , pp. 528-540
    • Tanner, M.A.1    Wong, W.H.2
  • 35
    • 40749129919 scopus 로고    scopus 로고
    • Research on the damaging control criterion of blacktop due to underground tunnel construction
    • Yao G, Sun H, Wei Q. Research on the damaging control criterion of blacktop due to underground tunnel construction. J Beijing Jiaotong Univ 2008;32:40-3.
    • (2008) J Beijing Jiaotong Univ , vol.32 , pp. 40-43
    • Yao, G.1    Sun, H.2    Wei, Q.3
  • 36
    • 84859181497 scopus 로고    scopus 로고
    • Prediction and analysis of tunnel crown settlement based on grey system theory
    • Deng TF, Gui Y, Yan JY. Prediction and analysis of tunnel crown settlement based on grey system theory. Adv Mater Res 2012;490:423-7.
    • (2012) Adv Mater Res , vol.490 , pp. 423-427
    • Deng, T.F.1    Gui, Y.2    Yan, J.Y.3
  • 37
    • 80051911088 scopus 로고    scopus 로고
    • The risk evaluation on effect of shield tunnel construction on urban asphalt pavement
    • Hu Q-f, Huang H, Cheng L. The risk evaluation on effect of shield tunnel construction on urban asphalt pavement. Underground Space 2005;2:263-7.
    • (2005) Underground Space , vol.2 , pp. 263-267
    • Hu, Q.-F.1    Huang, H.2    Cheng, L.3
  • 40
    • 33947149663 scopus 로고    scopus 로고
    • Finite element analysis of tunnel- soil-pile interaction using displacement controlled model
    • Cheng CY, Dasari GR, Chow YK, Leung CF. Finite element analysis of tunnel- soil-pile interaction using displacement controlled model. Tunnelling Underground Space Technol 2007;22:450-66.
    • (2007) Tunnelling Underground Space Technol , vol.22 , pp. 450-466
    • Cheng, C.Y.1    Dasari, G.R.2    Chow, Y.K.3    Leung, C.F.4
  • 41
    • 84876125097 scopus 로고    scopus 로고
    • Feedforward analysis for shield-ground system
    • Ding L, Wang F, Luo H, Yu M, Wu X. Feedforward analysis for shield-ground system. J Comput Civ Eng 2013;27:231-42.
    • (2013) J Comput Civ Eng , vol.27 , pp. 231-242
    • Ding, L.1    Wang, F.2    Luo, H.3    Yu, M.4    Wu, X.5
  • 42
    • 7544246664 scopus 로고    scopus 로고
    • Use of compact shield tunneling method in urban underground construction
    • Maeda M, Kushiyama K. Use of compact shield tunneling method in urban underground construction. Tunnelling Underground Space Technol 2005;20:159-66.
    • (2005) Tunnelling Underground Space Technol , vol.20 , pp. 159-166
    • Maeda, M.1    Kushiyama, K.2
  • 43
    • 84876045512 scopus 로고    scopus 로고
    • Decision support analysis for safety control in complex project environments based on Bayesian networks
    • Zhang L, Wu X, Ding L, Skibniewski MJ, Yan Y. Decision support analysis for safety control in complex project environments based on Bayesian networks. Expert Syst Appl 2013;40:4273-82.
    • (2013) Expert Syst Appl , vol.40 , pp. 4273-4282
    • Zhang, L.1    Wu, X.2    Ding, L.3    Skibniewski, M.J.4    Yan, Y.5
  • 44
    • 84878586886 scopus 로고    scopus 로고
    • Development of web-based system for safety risk early warning in urban metro construction
    • Ding LY, Zhou C. Development of web-based system for safety risk early warning in urban metro construction. Autom Constr. 2013;34:45-55.
    • (2013) Autom Constr. , vol.34 , pp. 45-55
    • Ding, L.Y.1    Zhou, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.