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Development of correlations between various engineering rockmass classification systems using railway tunnel data in Garhwal Himalaya, India.
Azad, Md Alquamar; Najeh, Taoufik; Raina, Autar K; Singh, Neelratan; Ansari, Abdullah; Ali, Mujahid; Fissha, Yewuhalashet; Gamil, Yaser; Singh, S K.
Afiliación
  • Azad MA; Department of Geology (Centre for Advanced Studies), University of Delhi, Delhi, 110007, India. md.azaddu@gmail.com.
  • Najeh T; Operation and Maintenance, Operation, Maintenance and Acoustics, Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, Lulea, Sweden. taoufik.najeh@ltu.se.
  • Raina AK; CSIR-Central Institute of Mining and Fuel Research (Ministry of Science & Technology, Govt. of India), Nagpur Research Center 17/C, Telangkhedi Area, Civil Lines, Nagpur, Maharashtra, 440001, India.
  • Singh N; Academy of Scientific and Innovative Research (AcSIR), CSIR-Human Resource Development Centre (CSIR-HRDC) Campus, Postal Staff College Area, Sector 19, Kamla Nehru Nagar, Ghaziabad, Uttar Pradesh, 201 002, India.
  • Ansari A; CSIR-Central Institute of Mining and Fuel Research (Ministry of Science & Technology, Govt. of India), Nagpur Research Center 17/C, Telangkhedi Area, Civil Lines, Nagpur, Maharashtra, 440001, India.
  • Ali M; Earthquake Monitoring Center, Sultan Qaboos University, Muscat, 123, Oman.
  • Fissha Y; Department of Civil Engineering, Inha University, Incheon, 22212, South Korea.
  • Gamil Y; Department of Transport Systems, Traffic Engineering and Logistics, Silesian University of Technology, Krasinskiego 8 Street, Katowice, Poland.
  • Singh SK; Department of Geosciences, Geotechnology and Materials Engineering for Resources, Graduate School of International Resource Sciences, Akita University, Akita, 010-8502, Japan. yowagaye@gmail.com.
Sci Rep ; 14(1): 10716, 2024 May 10.
Article en En | MEDLINE | ID: mdl-38729957
ABSTRACT
Engineering rockmass classifications are an integral part of design, support and excavation procedures of tunnels, mines, and other underground structures. These classifications are directly linked to ground reaction and support requirements. Various classification systems are in practice and are still evolving. As different classifications serve different purposes, it is imperative to establish inter-correlatability between them. The rating systems and engineering judgements influence the assignment of ratings owing to cognition. To understand the existing correlation between different classification systems, the existing correlations were evaluated with the help of data of 34 locations along a 618-m-long railway tunnel in the Garhwal Himalaya of India and new correlations were developed between different rock classifications. The analysis indicates that certain correlations, such as RMR-Q, RMR-RMi, RMi-Q, and RSR-Q, are comparable to the previously established relationships, while others, such as RSR-RMR, RCR-Qn, and GSI-RMR, show weak correlations. These deviations in published correlations may be due to individual parameters of estimation or measurement errors. Further, incompatible classification systems exhibited low correlations. Thus, the study highlights a need to revisit existing correlations, particularly for rockmass conditions that are extremely complex, and the predictability of existing correlations exhibit high variations. In addition to augmenting the existing database, new correlations for metamorphic rocks in the Himalayan region have been developed and presented that can serve as a guide for future rock engineering projects in such formations and aid in developing appropriate excavation and rock support methodologies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido