Geological–geotechnical risk in the use of EPB-TBM, case study: Tabriz Metro, Iran

Mohammadi, Seyed Davoud; Firuzi, Mahnaz; Asghari-Kaljahi, Ebrahim

doi:10.1007/s10064-015-0797-7

Cited by 14 publications

(5 citation statements)

References 11 publications

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“…Based on the geological and groundwater data obtained from boreholes of the western part of tunnel route line 2 of Tabriz's metro, Figure 3 shows the boreholes and soil layers' location. Geologically, this part of the tunnel comprises sedimentary rocks consisting of marls, claystone, siltstone, and sandstone, which are underlain by surface alluvium with a thickness of 5-15 m. In this part, the water table varies between 6 and 30 m, and the consistency of the alluvium is classified as hard and very hard (Mohammadi et al 2016).…”

Section: Geotechnical Conditions Of the Study Areamentioning

confidence: 99%

“…To validate and control the opted parameters' correction, a comparison was made between an initial modeling and the scaling relationships that indicated the maximum groundmotion parameters as a function of magnitude and distance. For this purpose, it was included four scaling relationships were developed by Sinaiean et al (2007), Boore & Atkinson (2008), Campbell & Bozorgnia (2008), and Boore et al (Mohammadi et al, 2016). (2014).…”

Section: Validation Of Input Parametersmentioning

confidence: 99%

“…Figure 3. Geotechnical section of the western part of tunnel route line 2 of Tabriz's metro(Mohammadi et al, 2016).…”

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confidence: 99%

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Seismic zoning of Tabriz area by stochastic finite fault model considering site-specific soil effects

Alamdari¹,

Dabiri²,

Jani³

et al. 2021

S&R

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Tabriz, as one of the most earthquake-prone cities in the Iran plateau, has experienced enormous earthquakes that have even destroyed the city altogether. Considering this seismological background and the vicinity of Tabriz's northwestern fault, reducing the possible earthquake losses can be highly useful by scrutinizing the strong ground motion resulting from the fault activation. To this end, a stochastic finite-fault ground motion simulation (EXSIM) method was applied as an important means for predicting the ground motion near the epicenter of the earthquake. EXSIM is an open-source stochastic finite-fault simulation algorithm that generates the time-series of the earthquake's ground motion. Based on the findings, the peak horizontal acceleration reached 0.83 g in the northern parts by creating artificial accelerograms and Tabriz's seismic zonation. In comparison, it reduced by 0.48 g by departing from the fault in the city's southern parts. Additionally, providing a seismic zonation map in Tabriz revealed that stopping the construction in the north parts while extending the settlement construction to the south part of the city are considered vital and unavoidable. Also, by applying the magnification and effects of the soil layers above the bedrock, it was further found that the existence of the loose layer with low strength and compaction intensify the application of seismic acceleration on the near-surface structures in the central, west, and southwest parts of the target area.

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Section: Geotechnical Conditions Of the Study Areamentioning

confidence: 99%

Section: Validation Of Input Parametersmentioning

confidence: 99%

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Seismic zoning of Tabriz area by stochastic finite fault model considering site-specific soil effects

Alamdari¹,

Dabiri²,

Jani³

et al. 2021

S&R

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show abstract

“…9 shows the location of boreholes and soil layers based on the geological and groundwater data obtained from boreholes of the western part of tunnel route line 2 of the metro in Tabriz city. Geologically, this part of the tunnel comprises sedimentary rocks consisting of marls, claystone, siltstone, and sandstone, which are underlain by surface alluvium with a thickness of 5-15 m. In this part, the water table varies between 6 and 30 m, and the consistency of the alluvium is classified as hard and very hard [33].…”

Section: Liquefaction Potential Index (Lpi)mentioning

confidence: 99%

“…Fig.9Geotechnical section of the western part of tunnel route line 2 of the metro in Tabriz city[33] …”

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confidence: 99%

Predicting the liquefaction potential of soil layers in Tabriz city via artificial neural network analysis

Mansouri

Dabiri

2021

SN Appl. Sci.

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Soil liquefaction is a phenomenon through which saturated soil completely loses its strength and hardness and behaves the same as a liquid due to the severe stress it entails. This stress can be caused by earthquakes or sudden changes in soil stress conditions. Many empirical approaches have been proposed for predicting the potential of liquefaction, each of which includes advantages and disadvantages. In this paper, a novel prediction approach is proposed based on an artificial neural network (ANN) to adequately predict the potential of liquefaction in a specific range of soil properties. To this end, a whole set of 100 soil data is collected to calculate the potential of liquefaction via empirical approaches in Tabriz, Iran. Then, the results of the empirical approaches are utilized for data training in an ANN, which is considered as an option to predict liquefaction for the first time in Tabriz. The achieved configuration of the ANN is utilized to predict the liquefaction of 10 other data sets for validation purposes. According to the obtained results, a well-trained ANN is capable of predicting the liquefaction potential through error values of less than 5%, which represents the reliability of the proposed approach.

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Assessment on the Engineering Geological Conditions of the Eastern Urban Area of Thessaloniki Basin, in Northern Greece, Using a Geotechnical Database

Kokkala

Marinos

2018

IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018—Volume 6

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Geological–geotechnical risk in the use of EPB-TBM, case study: Tabriz Metro, Iran

Cited by 14 publications

References 11 publications

Seismic zoning of Tabriz area by stochastic finite fault model considering site-specific soil effects

Seismic zoning of Tabriz area by stochastic finite fault model considering site-specific soil effects

Predicting the liquefaction potential of soil layers in Tabriz city via artificial neural network analysis

Assessment on the Engineering Geological Conditions of the Eastern Urban Area of Thessaloniki Basin, in Northern Greece, Using a Geotechnical Database

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