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https://doi.org/10.17794/rgn.2019.2.1

STABILITY ANALYSIS OF TUNNEL SUPPORT SYSTEMS USING NUMERICAL AND INTELLIGENT SIMULATIONS (CASE STUDY: KOUHIN TUNNEL OF QAZVIN-RASHT RAILWAY)

Reza Mikaeil ; Dept. of Mining and Metallurgical Engineering, Urmia University of Technology, Urmia, Iran
Hadi Bakhshinezhad   ORCID icon orcid.org/0000-0003-4966-7108 ; Dept. of Mining and Metallurgical Engineering, Urmia University of Technology, Urmia, Iran
Sina Shaffiee Haghshenas ; Young Researchers and Elite Club, Rasht Branch, Islamic Azad University, Rasht, Iran
Mohammad Ataei ; Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology, Shahrood, Iran

Puni tekst: engleski, pdf (604 KB) str. 1-10 preuzimanja: 184* citiraj
APA 6th Edition
Mikaeil, R., Bakhshinezhad, H., Haghshenas, S.S. i Ataei, M. (2019). STABILITY ANALYSIS OF TUNNEL SUPPORT SYSTEMS USING NUMERICAL AND INTELLIGENT SIMULATIONS (CASE STUDY: KOUHIN TUNNEL OF QAZVIN-RASHT RAILWAY). Rudarsko-geološko-naftni zbornik, 34 (2), 1-10. https://doi.org/10.17794/rgn.2019.2.1
MLA 8th Edition
Mikaeil, Reza, et al. "STABILITY ANALYSIS OF TUNNEL SUPPORT SYSTEMS USING NUMERICAL AND INTELLIGENT SIMULATIONS (CASE STUDY: KOUHIN TUNNEL OF QAZVIN-RASHT RAILWAY)." Rudarsko-geološko-naftni zbornik, vol. 34, br. 2, 2019, str. 1-10. https://doi.org/10.17794/rgn.2019.2.1. Citirano 16.02.2020.
Chicago 17th Edition
Mikaeil, Reza, Hadi Bakhshinezhad, Sina Shaffiee Haghshenas i Mohammad Ataei. "STABILITY ANALYSIS OF TUNNEL SUPPORT SYSTEMS USING NUMERICAL AND INTELLIGENT SIMULATIONS (CASE STUDY: KOUHIN TUNNEL OF QAZVIN-RASHT RAILWAY)." Rudarsko-geološko-naftni zbornik 34, br. 2 (2019): 1-10. https://doi.org/10.17794/rgn.2019.2.1
Harvard
Mikaeil, R., et al. (2019). 'STABILITY ANALYSIS OF TUNNEL SUPPORT SYSTEMS USING NUMERICAL AND INTELLIGENT SIMULATIONS (CASE STUDY: KOUHIN TUNNEL OF QAZVIN-RASHT RAILWAY)', Rudarsko-geološko-naftni zbornik, 34(2), str. 1-10. https://doi.org/10.17794/rgn.2019.2.1
Vancouver
Mikaeil R, Bakhshinezhad H, Haghshenas SS, Ataei M. STABILITY ANALYSIS OF TUNNEL SUPPORT SYSTEMS USING NUMERICAL AND INTELLIGENT SIMULATIONS (CASE STUDY: KOUHIN TUNNEL OF QAZVIN-RASHT RAILWAY). Rudarsko-geološko-naftni zbornik [Internet]. 2019 [pristupljeno 16.02.2020.];34(2):1-10. https://doi.org/10.17794/rgn.2019.2.1
IEEE
R. Mikaeil, H. Bakhshinezhad, S.S. Haghshenas i M. Ataei, "STABILITY ANALYSIS OF TUNNEL SUPPORT SYSTEMS USING NUMERICAL AND INTELLIGENT SIMULATIONS (CASE STUDY: KOUHIN TUNNEL OF QAZVIN-RASHT RAILWAY)", Rudarsko-geološko-naftni zbornik, vol.34, br. 2, str. 1-10, 2019. [Online]. https://doi.org/10.17794/rgn.2019.2.1
Puni tekst: hrvatski, pdf (74 KB) str. 11-11 preuzimanja: 70* citiraj
APA 6th Edition
Mikaeil, R., Bakhshinezhad, H., Haghshenas, S.S. i Ataei, M. (2019). ANALIZA STABILNOSTI POTPORNOGA SUSTAVA TUNELA UPORABOM NUMERIČKIH I „INTELIGENTNIH” SIMULACIJA (PRIMJER TUNELA KOUHIN NA ŽELJEZNIČKOJ PRUZI QAZVIN – RASHT). Rudarsko-geološko-naftni zbornik, 34 (2), 11-11. https://doi.org/10.17794/rgn.2019.2.1
MLA 8th Edition
Mikaeil, Reza, et al. "ANALIZA STABILNOSTI POTPORNOGA SUSTAVA TUNELA UPORABOM NUMERIČKIH I „INTELIGENTNIH” SIMULACIJA (PRIMJER TUNELA KOUHIN NA ŽELJEZNIČKOJ PRUZI QAZVIN – RASHT)." Rudarsko-geološko-naftni zbornik, vol. 34, br. 2, 2019, str. 11-11. https://doi.org/10.17794/rgn.2019.2.1. Citirano 16.02.2020.
Chicago 17th Edition
Mikaeil, Reza, Hadi Bakhshinezhad, Sina Shaffiee Haghshenas i Mohammad Ataei. "ANALIZA STABILNOSTI POTPORNOGA SUSTAVA TUNELA UPORABOM NUMERIČKIH I „INTELIGENTNIH” SIMULACIJA (PRIMJER TUNELA KOUHIN NA ŽELJEZNIČKOJ PRUZI QAZVIN – RASHT)." Rudarsko-geološko-naftni zbornik 34, br. 2 (2019): 11-11. https://doi.org/10.17794/rgn.2019.2.1
Harvard
Mikaeil, R., et al. (2019). 'ANALIZA STABILNOSTI POTPORNOGA SUSTAVA TUNELA UPORABOM NUMERIČKIH I „INTELIGENTNIH” SIMULACIJA (PRIMJER TUNELA KOUHIN NA ŽELJEZNIČKOJ PRUZI QAZVIN – RASHT)', Rudarsko-geološko-naftni zbornik, 34(2), str. 11-11. https://doi.org/10.17794/rgn.2019.2.1
Vancouver
Mikaeil R, Bakhshinezhad H, Haghshenas SS, Ataei M. ANALIZA STABILNOSTI POTPORNOGA SUSTAVA TUNELA UPORABOM NUMERIČKIH I „INTELIGENTNIH” SIMULACIJA (PRIMJER TUNELA KOUHIN NA ŽELJEZNIČKOJ PRUZI QAZVIN – RASHT). Rudarsko-geološko-naftni zbornik [Internet]. 2019 [pristupljeno 16.02.2020.];34(2):11-11. https://doi.org/10.17794/rgn.2019.2.1
IEEE
R. Mikaeil, H. Bakhshinezhad, S.S. Haghshenas i M. Ataei, "ANALIZA STABILNOSTI POTPORNOGA SUSTAVA TUNELA UPORABOM NUMERIČKIH I „INTELIGENTNIH” SIMULACIJA (PRIMJER TUNELA KOUHIN NA ŽELJEZNIČKOJ PRUZI QAZVIN – RASHT)", Rudarsko-geološko-naftni zbornik, vol.34, br. 2, str. 11-11, 2019. [Online]. https://doi.org/10.17794/rgn.2019.2.1

Sažetak
According to underground construction development and its high cost process, an accurate assessment and prevention of probable risks are of significant importance. Different methods have been developed to assess underground constructions. In this paper, the aim is to develop a new soft computing model to evaluate tunnel support systems. Firstly, a numerical analysis was performed using the explicit finite difference model by FLAC2D software to excavate a sequence model and support system installation. The design loads including the axial force, moment, and shear force were calculated for some important points of the support system including the crown, the middle of the bottom and the side walls. In order to analyse the stability of the support system, the section points were evaluated into 3 clusters by the artificial bee colony as a meta-heuristic algorithm and a k-means algorithm using Matlab software. The results of clustering were compared by the safety factor of the support system. The results indicated that the section points that are in cluster 1 have a lower safety factor than clusters 3 and 2, respectively. It concluded that the artificial bee colony can be reliably used in the initial assessment of tunnel support systems based on the axial force, moment, and shear force.

Ključne riječi
soft computing; artificial bee colony; clustering; support system; safety factor

Hrčak ID: 218174

URI
https://hrcak.srce.hr/218174

[hrvatski]

Posjeta: 467 *