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  Published Paper Details:

  Paper Title

A MODEL ADAPTATION ANNOVATION FOR MECHANIZED TUNNELING: SUBSOIL UNCERTAINTY CONSIDERATION

  Authors

  Yeruva Ramana Reddy

  Keywords

Tunneling, Artificial Intelligence, Laser Beams, Subsurface soil, Geological Investigation, Excavation, Civil Engineering

  Abstract


This research paper focuses on modeling a technology that will be useful in the mechanization tunneling of subsoil. Tunneling has evolved from cave creation to water management, underground transit, mineral extraction, and warfare throughout history. During the 1950s, cutting and blasting methods were replaced by the most modern and complex automated digging using tunnel boring machines. Tunnel drilling machines are significant in boring through various soil and rock types, including clays, granular soils, severely fractured or monolithic rock layers, partially saturated or saturated ground, escarpments with high loads, and sensitive metropolitan areas with little overburden [1]. Tunnel boring equipment is now common in a wider range of geotechnical situations. An overview of tunneling using tunnel boring machines and their applicability for soft ground conditions is provided in this review study.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2206043

  Paper ID - 221640

  Page Number(s) - i806-i811

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.30616

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Yeruva Ramana Reddy,   "A MODEL ADAPTATION ANNOVATION FOR MECHANIZED TUNNELING: SUBSOIL UNCERTAINTY CONSIDERATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.i806-i811, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2206043.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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