Assessment of rate of penetration of a tunnel boring machine in the longest railway tunnel of Turkey
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Assessment of rate of penetration of a tunnel boring machine in the longest railway tunnel of Turkey
Authors
Keywords
-
Journal
SN Applied Sciences
Volume 4, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-12-14
DOI
10.1007/s42452-021-04903-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Construction efficiency of shield tunnelling through soft deposit in Tianjin, China
- (2021) Tao Yan et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Investigation on the relationship among the Cerchar abrasivity index, drilling parameters and physical and mechanical properties of the rock
- (2021) She-Rong Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment
- (2021) Abidhan Bardhan et al. Journal of Rock Mechanics and Geotechnical Engineering
- Problems Encountered during a Railway Tunnel Excavation in Squeezing and Swelling Materials and Possible Engineering Measures: A Case Study from Turkey
- (2020) Ebu Bekir Aygar et al. Sustainability
- Prediction of TBM penetration rate based on Monte Carlo-BP neural network
- (2020) Meng Wei et al. NEURAL COMPUTING & APPLICATIONS
- As-Encountered Prediction of Tunnel Boring Machine Performance Parameters using Recurrent Neural Networks
- (2020) Kabir Nagrecha et al. TRANSPORTATION RESEARCH RECORD
- Evaluation of new Austrian tunnelling method applied to Bolu tunnel's weak rocks
- (2020) Ebu Bekir Aygar Journal of Rock Mechanics and Geotechnical Engineering
- TBM performance prediction with Bayesian optimization and automated machine learning
- (2020) Qianli Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
- (2020) Jian Zhou et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A TBM advance rate prediction method considering the effects of operating factors
- (2020) Liu-jie Jing et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
- (2020) Jian Zhou et al. Geoscience Frontiers
- Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance
- (2019) Mohammadreza Koopialipoor et al. ENGINEERING WITH COMPUTERS
- Prediction of geological conditions for a tunnel boring machine using big operational data
- (2019) Qianli Zhang et al. AUTOMATION IN CONSTRUCTION
- Application of deep neural networks in predicting the penetration rate of tunnel boring machines
- (2019) Mohammadreza Koopialipoor et al. Bulletin of Engineering Geology and the Environment
- An ANN to Predict Ground Condition ahead of Tunnel Face using TBM Operational Data
- (2019) Jee-Hee Jung et al. KSCE Journal of Civil Engineering
- Improved support vector regression models for predicting rock mass parameters using tunnel boring machine driving data
- (2019) Bin Liu et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Torque fluctuation analysis and penetration prediction of EPB TBM in rock–soil interface mixed ground
- (2019) Yu Zhao et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
- (2019) Hai Xu et al. Applied Sciences-Basel
- Performance prediction of tunnel boring machine through developing high accuracy equations: A case study in adverse geological condition
- (2019) Masoud Samaei et al. MEASUREMENT
- Application of rock mass classification systems for performance estimation of rock TBMs using regression tree and artificial intelligence algorithms
- (2019) Alireza Salimi et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques
- (2019) Jian Zhou et al. Bulletin of Engineering Geology and the Environment
- A study of various models used in the estimation of advance rates for hard rock TBMs
- (2019) Ebrahim Farrokh TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- An Assessment on Permeability and Grout Take of Limestone: A Case Study at Mut Dam, Karaman, Turkey
- (2019) Ali Kayabasi et al. Water
- Geological and mechanical rock mass conditions for TBM performance prediction. The case of “La Maddalena” exploratory tunnel, Chiomonte (Italy)
- (2018) Giacomo Armetti et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Bayesian prediction of TBM penetration rate in rock mass
- (2017) Amoussou Coffi Adoko et al. ENGINEERING GEOLOGY
- Prediction of TBM performance in mixed-face ground conditions
- (2017) Isaac Madrid Vergara et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Evaluation of TBM performance prediction models and sensitivity analysis of input parameters
- (2016) Seyyed Amirasad Fatemi et al. Bulletin of Engineering Geology and the Environment
- Estimation of Cerchar abrasivity index of granitic rocks in Turkey by geological properties using regression analysis
- (2016) Selman Er et al. Bulletin of Engineering Geology and the Environment
- Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming
- (2016) S. Alemdag et al. ENGINEERING GEOLOGY
- Effect of geomechanical properties on Cerchar Abrasivity Index (CAI) and its application to TBM tunnelling
- (2016) Tae Young Ko et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Application of non-linear regression analysis and artificial intelligence algorithms for performance prediction of hard rock TBMs
- (2016) Alireza Salimi et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Use of non-linear prediction tools to assess rock mass permeability using various discontinuity parameters
- (2015) A. Kayabasi et al. ENGINEERING GEOLOGY
- A support vector regression model for predicting tunnel boring machine penetration rates
- (2014) Satar Mahdevari et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Prediction of uniaxial compressive strength of granitic rocks by various nonlinear tools and comparison of their performances
- (2013) N. Yesiloglu-Gultekin et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- The East Anatolian Fault Zone: Seismotectonic setting and spatiotemporal characteristics of seismicity based on precise earthquake locations
- (2012) Fatih Bulut et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Study of various models for estimation of penetration rate of hard rock TBMs
- (2012) Ebrahim Farrokh et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Analysis and prediction of TBM performance in blocky rock conditions at the Lötschberg Base Tunnel
- (2012) A. Delisio et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Study of the influence of geotechnical parameters on the TBM performance in Tehran–Shomal highway project using ANN and SPSS
- (2011) S. R. Torabi et al. Arabian Journal of Geosciences
- Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks
- (2011) S. Yagiz et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
- A new hard rock TBM performance prediction model for project planning
- (2011) J. Hassanpour et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- The usability of Cerchar abrasivity index for the prediction of UCS and E of Misis Fault Breccia: Regression and artificial neural networks analysis
- (2010) S. Kahraman et al. EXPERT SYSTEMS WITH APPLICATIONS
- Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system
- (2010) Jafar Khademi Hamidi et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Application of two non-linear prediction tools to the estimation of tunnel boring machine performance
- (2009) S. Yagiz et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- TBM Performance Analysis in Pyroclastic Rocks: A Case History of Karaj Water Conveyance Tunnel
- (2009) J. Hassanpour et al. ROCK MECHANICS AND ROCK ENGINEERING
- Development of a rock mass characteristics model for TBM penetration rate prediction
- (2008) Q.M. Gong et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Prediction of uniaxial compressive strength of sandstones using petrography-based models
- (2007) K. Zorlu et al. ENGINEERING GEOLOGY
- Utilizing rock mass properties for predicting TBM performance in hard rock condition
- (2007) Saffet Yagiz TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started