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Virtual reality research of the dynamic characteristics of soft soil under metro vibration loads based on BP neural networks

  • Neural Computing in Next Generation Virtual Reality Technology
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Abstract

In this paper, in order to research the dynamic characteristics of soft soil under metro vibration loads, the mathematical expression of metro vibration loads is obtained. According to the loading form, drainage requirement and vibration frequencies of the actual situation, the corresponding experiment is conducted through indoor dynamic triaxial equipment. Then, the dynamic characteristics of experimental results are analyzed. An empirical formula is proposed to compute the dynamic characteristics of soft soil. Then, the computational results obtained by empirical formula are compared with those of the experimental. They are consistent with each other, and the results show that empirical formula is reliable to compute the dynamic characteristics of soft soil. Then, based on the verified empirical formula, the dynamic characteristics such as the vertical strain and pore water pressure with different CSR are also computed and compared. With the increase in CSR, the dynamic characteristics will be larger when the other parameters are consistent. However, empirical formula can only predict the dynamic characteristics of the simple model. In order to realize virtual reality of the dynamic characteristics of the complex model more accurately, the BP neural network and finite element are adopted, respectively. Then, the computational results are also compared with those of the experimental to verify their reliabilities. In the future, the BP neural network and finite element method can be also used to realize virtual reality of the dynamic characteristics of the more complex model.

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References

  1. Wang RL (2009) Factors influencing deformation of Shanghai soft soil metro tunnel and deformation analysis. Undergr Eng Tunnels 1:1–6

    Google Scholar 

  2. Rucker W (1977) Measurement and evaluation of random vibrations. In: Proceedings on DMSR77/Karlsruhe, pp 407–421

  3. Pan CS, Pande GN (1984) Preliminary deterministic finite element study on a tunnel driven in loess subjected to train loading. China Civ Eng J 17(4):54–55

    Google Scholar 

  4. Zarembski AN (1989) Dynamic loading of the track structure. RT & S 85(10):11–13

    Google Scholar 

  5. Zhang YE, Bai BH (2000) The method of identifying train vibration load acting on subway tunnel structure. J Vib Shock 19(3):68–70

    Google Scholar 

  6. Zhang YE, Bai BH, Zhang YH, Wang ZZ (2003) Study on subway tunnel’s behavior due to seismic damage methods of analyzing seismic response and earthquake proof means. J Vib Shock 22(1):70–71

    Google Scholar 

  7. Zhang YE, Bai BH, Zhang YQ (2006) Influence of subway burial depth on dynamic response of train. J Vib Shock 25(3):58–68

    Google Scholar 

  8. Heckle M, Hauck G, Wettschureck R (1996) Structure-borne sound and vibration from rail traffic. J Sound Vib 193(1):175–184

    Article  Google Scholar 

  9. Hall Lars (2003) Simulations and analyses of train-induced ground vibrations infinite element models. Soil Dyn Earthq Eng 23(5):403–413

    Article  Google Scholar 

  10. Yang YB, Huang XH (2001) A 2.5D finite/infinite element approach for modeling visco-elastic bodies subjected to moving loads. Int J Numer Meth Eng 51(11):1317–1336

    Article  Google Scholar 

  11. Huang B, Ding H, Chen YM (2008) Cumulative deformation behavior of soft clay in cyclic un-drained tests. Chin J Geotech Eng 27(2):331–338 (in Chinese)

    Google Scholar 

  12. Zhou J, Gong XN (2000) Study on strain softening in saturated soft clay under cyclic loading. China Civ Eng J 33(5):75–78 (in Chinese)

    Google Scholar 

  13. Gong QM, Liao CF, Zhou SH (2001) Testing study of dynamic pore water pressure under train loading. Chin J Rock Mech Eng 20(S1):1154–1157 (in Chinese)

    Google Scholar 

  14. Lei HY, Jiang Y, Lu PY et al (2007) Experimental study of dynamic stress–strain relation of structural soft soil under traffic load. Chin J Rock Mech Eng 27(S1):3052–3057 (in Chinese)

    Google Scholar 

  15. Yin ZY, Karstunen M, Chang CS et al (2011) Modeling time-dependent behavior of soft sensitive clay. J Geotech Geoenviron Eng 137(11):1103–1113

    Article  Google Scholar 

  16. Chang CS, Hicher PY, Yin ZY et al (2009) Elastoplastic model for clay with microstructural consideration. J Eng Mech 135(9):917–931

    Article  Google Scholar 

  17. Damn TM, Stanworth CG (1979) Ground vibration caused by passing trains. J Sound Vib 66(3):355–362

    Article  Google Scholar 

  18. Chen JW, Zhang LX (2000) Deformation measuring of the metro tunnel and deformation data analysis of shanghai metro line No. 1. Shanghai Geol 2:51–56 (in Chinese)

    Google Scholar 

  19. Pan CS (1995) Railway mechanics numerical method. China Railway Publishing Press, Beijing (in Chinese)

    Google Scholar 

  20. Sun XJ (2008) Prediction of environment vibrations induced by metro trains and mitigation measures analysis. Beijing Jiaotong University (in Chinese)

  21. Liu TJ, Mo HH (2008) Strain rate of saturated soft clay under long term cyclic loading. J South China Univ Technol (Nat Sci Ed) 36(10):37–42 (in Chinese)

    Google Scholar 

  22. Dai RP (2014) Study on cumulative settlement of cross-river tunnel of Hangzhou Metro Line 1. Modern Urban Transit 3:57–60 (in Chinese)

    Google Scholar 

  23. Lv Z, Chirivella J, Gagliardo P (2016) Bigdata oriented multimedia mobile health applications. J Med Syst 40(5):1–10

    Article  Google Scholar 

  24. Monismith CL, Ogawan Freeme CR (1975) Permanent deformation characteristics of subsoil due to repeated loading. Transp Res Rec 537:1–17

    Google Scholar 

  25. Seed HB, Martin GR, Lysmer J (1976) Pore water pressure changes during soil liquefaction. J Geotech Eng Division ASCE:102 (GTI)

  26. Assimaki D, Kausel E, Wittle A (2000) Model for dynamic shear modulus and damping for granular soils. J Geotech Geo-environ Eng 126(10):859–869

    Article  Google Scholar 

  27. Lv Z, Halawani A, Feng S et al (2015) Touch-less interactive augmented reality game on vision-based wearable device. Pers Ubiquit Comput 19(3–4):551–567

    Article  Google Scholar 

  28. Samang Lawalenna, Miura Norihiko, Sakai Akira (2005) Long-term measurements of traffic load induced settlement of pavement surface in Saga airport highway, Japan. J J Tek Sipil 12(4):275–286

    Google Scholar 

  29. Lv Z, Halawani A, Feng S et al (2014) Multimodal hand and foot gesture interaction for handheld devices. ACM Trans Multimedia Comput Commun Appl TOMM 11(1s):10

    Google Scholar 

  30. Lv Z, Tek A, Da Silva F et al (2013) Game on, science—how video game technology may help biologists tackle visualization challenges. PLoS ONE 8(3):e57990

    Article  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant no. 41572245).

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Authors and Affiliations

  1. Key Laboratory of High-speed Railway Engineering of the Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, China

    Kai Cui

  2. School of Civil Engineering, Southwest Jiaotong University, Chengdu, 610031, China

    Xiaotong Qin

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  1. Kai Cui
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  2. Xiaotong Qin
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Correspondence to Kai Cui.

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Cui, K., Qin, X. Virtual reality research of the dynamic characteristics of soft soil under metro vibration loads based on BP neural networks. Neural Comput & Applic 29, 1233–1242 (2018). https://doi.org/10.1007/s00521-017-2853-7

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  • DOI: https://doi.org/10.1007/s00521-017-2853-7

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