Assessment of the impact of case parameters affecting abrasion and brittleness factors in alluviums of line 2 of theTabriz subway, Iran

Mostafaei, Masoud; Far, Amir Hassan Rezaei; Rastegarnia, Ahmad

doi:10.1007/s10064-018-1350-2

Cited by 14 publications

(2 citation statements)

References 22 publications

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“…Roof stability problem Disadvantage Hoek et al (1998) [58] In addition, while developing a prediction model for the performance of the machine, [59] classified and determined clogging, swelling, abrasion, unstable tunnel face, and probable water flow as factors that impact the performance of a hard rock TBM deployed in soft rock conditions. Mostafaei et al [60] determined the impact of variables such as moisture, lithology, grain size and foam of drilling on TBM performance. They highlighted the variations in TBM behaviour in different types of rock.…”

Section: Influence Of In-situ Stress and Fault Zonesmentioning

confidence: 99%

Influence of geology on tunnel boring machine performance: A review

Pandey¹,

Raina²,

Deshmukh³

et al. 2020

J Min & Metal A Mining

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Tunnel boring machines are used for excavating a variety of soils and rocks for circular cross-section tunnels. Several published studies examined the role of rockmass in determining the cutting and advance rate of tunnel boring machines. A comprehensive review of literature was conducted to ascertain the influence of geological conditions on the performance of tunnel boring machines and revealed that different rock characteristics were used to define the tunnel boring machine performance. The progress of the tunnel boring machine was ascribed to the inherent properties of the rockmass, intact rock properties, and surrounding geological conditions. Several authors found that extreme geological conditions strongly influence the advance of the machine. The review revealed that joint spacing, angle between plane of weakness and tunnel axis, rock quality designation, and number of joint sets were the most important variables that influenced the advance rates of the tunnel boring machine. At least 12 intact rock variables were used to define tunnel boring machine performance with one to seven such variables used in combination. The compressive strength, tensile strength, and brittleness index emerged as most crucial intact properties. Rockmass classifications or indices of tunnel boring machine performance were used by different authors to predict their performance and even to define their selection methodology. Use of dynamic properties of rock/rockmass was identified as a grey area for future research by scientists.

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Section: Influence Of In-situ Stress and Fault Zonesmentioning

confidence: 99%

Influence of geology on tunnel boring machine performance: A review

Pandey¹,

Raina²,

Deshmukh³

et al. 2020

J Min & Metal A Mining

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“…Abrasive wear reflected as particle displacement or desquamation occurs on the alloy surface (Zum Gahr 1987Gahr , 1998Lan et al 2019). From the perspective of tribology, the soil-tool tribological system consists of the soil, cutting tool, and contact interface between them (Mostafaei et al 2019). Soil parameters (mineralogical composition (Thuro and Kasling 2009;Köhler et al 2011;Rostami et al 2012;Lohne 2013, Jakobsen et al 2013a, b), particle size distribution (Thuro et al 2007;Thuro and Kasling 2009;Drucker 2011;Köhler et al 2011;Thakare et al 2012;Woldman et al 2012;Majeed and Bakar 2019;Mosleh et al 2019), grain shape (Hamblin and Stachowiak 1996;Stachowiak 2000;Stachowiak and Stachowiak 2001;Stachowiak 2002a, b, 2004;De Pellegrin et al 2009a;Hashemnejad et al 2012;Woldman et al 2012), compactness (Jakobsen and Lohne 2013) and water content (Rostami et al 2012;Alavi Gharahbagh et al 2013, 2014aJakobsen et al 2013b;Mosleh et al 2013;Hashemnejad et al 2016;Mirmehrabi et al 2016;Bakar et al 2018), etc.…”

Section: Introductionmentioning

confidence: 99%

An experimental study on cutting tool hardness optimization for shield TBMs during dense fine silty sand ground tunneling

Zhang

Tang

Liu

et al. 2021

Bull Eng Geol Environ

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The estimation of soil abrasivity and cutting tool wear during soft ground tunneling is complicated and arduous work due to the lack of a generally accepted testing system. To date, geotechnical baseline reports (GBRs) and geotechnical data reports (GDRs) still cannot provide reliable soil abrasion indices for tool life prediction. This is considered a deficiency in the geotechnical investigation of shield-driven tunnel projects. In this study, the Multifunctional Shield Test System (MSTS) developed by the Key Laboratory of Safety for Geotechnical and Structural Engineering of Hubei Province at Wuhan University is presented. The MSTS was motivated by the need for a test platform with the ability to simulate undisturbed soil conditions and actual tool working environments to explore the mechanism of cutting tool wear, bentonite slurry penetration, and filter cake formation in various geomaterials with grain sizes including clay, silt, sand, and gravel (< 15 mm). Experimental studies on the effect of alloy hardness on cutting tool wear are conducted. The soil samples used in the tests are dense fine silty sand from the Sutong GIL Yangtze River Crossing Cable Tunnel. When the wear extent is plotted against the alloy hardness, an inverted S-shaped band bounded by the highest and lowest alloy hardnesses is formed. The sensitive hardness interval is HRC = [47, 52]. If the alloy hardness is higher than 52 HRC, the wear extent is relatively small. Since alloy hardness is negatively correlated with bending strength, using a cutting tool material with a hardness slightly higher than the upper limit of the sensitive hardness interval is optimal. Thus, an alloy with a hardness interval of HRC = [52, 63] is recommended for the dense fine silty sand ground at the Sutong GIL Yangtze River Crossing Cable Tunnel. Keywords Cutting tool wear • Alloy hardness • Soil abrasivity • Testing system • Soft ground tunneling Terms HardnessThe ability of a material to resist hard objects pressed into its surface locally Relative hardnessThe ratio of the hardness of one material to that of another Sensitive hardness interval The hardness interval in which the wear extent decreases significantly as the hardness increases Sensitive relative hardness intervalThe relative hardness interval in which the wear extent decreases significantly as the hardness increases * Xiao-Ping Zhang

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