Calculation of surface settlements caused by EPBM tunneling using artificial neural network, SVM, and Gaussian processes

Environmental Earth Sciences

Volumn 70, Issue 3, 2013, Pages 1263-1276

  Ocak, Ibrahim ^a   Seker, Sadi Evren ^a  

^a ISTANBUL UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; EPBM; Gaussian processes; Prediction of surface settlement; Support vector machine; Twin tunnel

Indexed keywords

EARTH PRESSURE BALANCE MACHINES; EFFECTIVE PARAMETERS; EPBM; GAUSSIAN PROCESSES; GEOMETRIC PROPERTIES; MUNICIPAL AUTHORITIES; SURFACE SETTLEMENTS; TWIN TUNNELS;

FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); NEURAL NETWORKS; SUPPORT VECTOR MACHINES; TUNNELING (EXCAVATION); TUNNELING MACHINES;

SETTLEMENT OF STRUCTURES;

ARTIFICIAL NEURAL NETWORK; GAUSSIAN METHOD; GROUND SETTLEMENT; METRO SYSTEM; PREDICTION; SURFACE STRUCTURE; TUNNELING; URBAN AREA;

EID: 84884129603     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-012-2214-x     Document Type: Article

References (52)

1. Alpaydi{dotless}n E (2010) Introduction to machine learning, 2nd edn. MIT Press, London.
2. Attewell PB, Yeates J, Selby AR (1986) Soil movement induced by tunneling and their effects on pipelines and structures. Chapman and Hall, New York.
3. Bishop CM (2006) Pattern recognition and machine learning. Springer, New York.
4. Cartwright KV (2007) Determining the effective or RMS voltage of various waveforms without calculus. Ph. D. Thesis, School of Sciences and Technology College of the Bahamas, Bahamas.
5. Cheng MY, Tsai HC, Ko CH, Chang WT (2008) Evolutionary fuzzy neural inference system for decision making in geotechnical engineering. J Comput Civil Eng 22(4): 272-280.
6. Chiorboli MA, Marcheselli PP (1996) Analysis and control of subsidence due to earth pressure shield tunneling in Passante Ferroviario of Milano. In: Proceedings of International Conference on North American Tunneling96. Balkema, Rotterdam, pp 97-106.
7. Clough GW, Leca E (1993) EPB shield tunneling in mixed face conditions. J Geotech Geoenviron 119(10): 1640-1656.
8. Ding L, Ma L, Luo H, Yu M, Wu X (2011) Wavelet Analysis for tunneling-induced ground settlement based on a stochastic model. Tunn Undergr Space Technol 26(5): 619-628.
9. Ercelebi S, Copur H, Ocak I (2011) Surface settlement predictions for Istanbul Metro Tunnels excavated by EPB-TBM. Environ Earth Sci 62(2): 357-365.
10. Finno RJ, Clough GW (1985) Evaluation of soil response to EPB shield tunneling. J Geotech Geoenviron 111(2): 155-173.
11. Gunn SR (1998) Support vector machines for classification and regression, University of Southamtpon, Technical Report.
12. Hecht NR (1987) Kolmogorov's mapping neural network existence theorem. In: Proceedings of the first international conference on neural networks. San Diego, USA, pp 11-14.
13. Jancsecz S, Steiner W (1994) Face support for a large Mix-Shield in heterogeneous ground conditions. Tunneling, London.
14. Leca E (1989) Analysis of NATM and shield tunneling in soft ground, Ph. D. Thesis, Virginia Institute and State University, Blacksburg, VA.
15. Mackay DJC (1997) Gaussian processes: a replacement for supervised neural networks, Lecture Notes.
16. Matsushita Y, Hashimoto T, Iwasaki Y, Imanishi H (1995) Behavior of subway tunnel driven by large slurry shield. In: Proceedings of International Conference on Underground Construction in Soft Ground. Balkema, Rotterdam, pp 253-256.
17. Mitchell TM (1997) Machine learning. McGraw Hill, New York.
18. Neal RM (1996) Bayesian learning for neural networks. Springer, New York.
19. Neaupane KM, Adhikari NR (2006) Prediction of tunneling-induced ground movement with the multi-layer perceptron. Tunn Undergr Sp Tech 21(2): 151-159.
20. Nellessen P (2007) Using neurofuzzy systems to predict settlements for slurry shield drives based on an evaluation of the process data synchronous to the advance. In: EURO: TUN (2007) Thematic conference on computational methods in tunnelling. Austria, Vienna.
21. Ocak I (2008a) Estimating the modulus of elasticity of the rock material from compressive strength and unit weight. J S Afr Inst Min Metall 108(10): 621-626.
22. Ocak I (2008b) Control of surface settlements with umbrella arch method in second stage excavations of Istanbul Metro. Tunn Undergr Sp Tech 23(6): 674-681.
23. Ocak I (2008c) Comparison of machine utilization time and performance for road header and impact hammer in Kadikoy-Kartal metro tunnels (Istanbul). In: 8th international scientific conference, modern management of mine producing, geology and environmental protection, vol 1. Varna, Bulgaria, pp 269-276.
24. Ocak I (2009a) Empirical estimation of intact rock elastic modulus, The 21st International mining congress of Turkey. Antalya, Turkey, pp 165-172.
25. Ocak I (2009b) Environmental problems caused by Istanbul subway excavation and suggestions for remediation, environmental geology. Environ Geol 58(7): 1557-1566.
26. Ocak I (2009c) Environmental effects of tunnel excavation in soft and shallow ground with EPBM: the case of Istanbul. Environ Earth Sci 59(2): 347-352.
27. Ocak I (2011) Overview to ongoing metro projects in Istanbul, Turkey. In: 22nd world mining congress and expo. Istanbul, Turkey, pp 161-168.
28. Ocak I (2012a) Interaction of deformation for twin tunnels in shallow and soft grounds excavated by EPBM. Istanbul University 24410 numbered scientific research project.
29. Ocak I (2012b) Interaction of longitudinal surface settlement profile in soft metro tunneling with EPBM. ITA-AITAS World Tunnel Congress and General Assembly, Thailand.
30. Ocak I (2012c) Discussion on article "Surface subsidence induced by twin subway tunneling in soft ground conditions in Istanbul" by Yi{dotless}lmaz Mahmutoglu, Bulletin of Engineering Geology and the Environment, 2011, 70(1), pp 115-131. B Eng Geol Environ 71(2): 399-400.
31. Ocak I, Bilgin N (2010) Comparative studies on the performance of a road header, impact hammer and drilling and blasting method in the excavation of metro station tunnels in Istanbul. Tunn Undergr Sp Tech 25(2): 181-187.
32. Ocak I, Seker SE (2012) Estimation of elastic modulus of intact rocks by artificial neural network. Rock Mech Rock Eng 45(6): 1047-1054.
33. Ovidio J, Santos JR, Tarcisio BC (2008) Artificial neural networks analysis of Sao Paulo subway tunnel settlement data. Tunn Undergr Sp Tech 23: 481-491.
34. Press WH, Teukolsky SA, Vetterling WT, Flannery BP (2007) Numerical recipes: the art of scientific computing. Cambridge University Press, New York.
35. Qureshi SA, Mirza SM, Arif M (2006) Fitness function evaluation for image reconstruction using binary genetic algorithm for parallel ray transmission tomography, emerging technologies. In: ICET'06 international conference. Islamabad, Pakistan, pp 196-201.
36. Rasmussen CE, Williams CKI (2007) Gaussian processes for machine learning. The MIT Press, Cambridge.
37. Rigol-Snachez JP, Chica-Olmo M, Abarca-Hernanderz F (2003) Artificial neural networks as a tool for mineral potential mapping with GIS. Int J Remote Sens 24(5): 1151-1156.
38. Rohmer J, Foerster E (2011) Global sensitivity analysis of large-scale numerical landslide models based on Gaussian-Process meta-modeling. Comput Geosci 37(7): 917-927.
39. Rosenblatt FX (1962) Principles of neurodynamics: perceptrons and the theory of brain mechanisms. Spartan Books, Washington.
40. Sakar CO, Kursun O (2010) Telediagnosis of Parkinson's disease using measurements of dysphonia. J Med Syst 34(4): 591-599.
41. Schalkoff RJ (1997) Artificial neural network. McGraw Hill, New York.
42. Seyfi M, Muhaidat S, Liang J (2012) Amplify-and-forward selection cooperation over Rayleigh fading channels with imperfect CSI. IEEE T Wirel Commun 11(1): 199-209.
43. Shi J, Ortigao JAR, Bai JJ (1998) Modular neural networks for predicting settlements during tunneling. J Getech Geoenviron Eng 124(05): 389-395.
44. Stein ML (1999) Statistical interpolation of spatial data: some theory for Kriging. Springer, Chicago.
45. Suwansawat S (2002) Earth pressure balance (EPB) shield tunneling in Bangkok: Ground Response and Prediction of Surface Settlements Using Artificial Neural Networks. Ph. D. Thesis, Massachusetts Institute of Technology, Cambridge, MA.
46. Suwansawat S, Einstein HH (2006) Artificial neural networks for predicting the maximum surface settlement caused by EPB shield tunneling. Tunn Undergr Sp Technol 21(2): 133-150.
47. Tipping ME (2001) Sparse bayesian learning and the relevance vector machine. J Mach Learn Res 1: 211-244.
48. Wang DD, Qiu GQ, Xie WB, Wang Y (2012) Deformation prediction model of surrounding rock based on GA-LSSVM-markov. Nat Sci 4(2): 85-90.
49. Wasserman PD, Schwartz T (1988) Neural networks II. What are they and why is everybody so interested in them now? IEEE Expert 3(1): 10-15.
50. Xu J, Xu Y (2011) Grey correlation-hierarchical analysis for metro-caused settlement. Environ Earth Sci 64(5): 1246-1256.
51. Yang L, Zifeng W, Jun W, Richard AF, Robert KN, Ellsworth JW (2011) The effect of aerosol vertical profiles on satellite-estimated surface particle sulfate concentrations. Remote Sens Environ 115(2): 508-513.
52. Yao BZ, Yang CY, Yao JB, Sun J (2010) Tunnel surrounding rock displacement prediction using support vector machine. Int J Comput Int Sys 3(6): 843-852.