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TBM Performance Analysis in Pyroclastic Rocks: A Case History of Karaj Water Conveyance Tunnel

https://doi.org/10.1007/s00603-009-0060-2
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf01239496openalex-snapshot
Engineering classification of rock masses for the design of tunnel support
inferredcites →https://doi.org/10.1007/s00603-004-0032-5openalex-snapshot
Influence of Rock Mass Parameters on the Performance of a TBM in a Gneissic Formation (Varzo Tunnel)
inferredcites →https://doi.org/10.1016/0148-9062(83)91823-5openalex-snapshot
Power consumption and metal wear in tunnel-boring machines: analysis of tunnel-boring operation in hard rock
inferredcites →https://doi.org/10.1016/0148-9062(85)93229-2openalex-snapshot
Prediction of the performance of disc cutters in anisotropic rock
inferredcites →https://doi.org/10.1016/j.ijrmms.2008.03.003openalex-snapshot
Development of a rock mass characteristics model for TBM penetration rate prediction
inferredcites →https://doi.org/10.1016/j.tust.2007.04.011openalex-snapshot
Utilizing rock mass properties for predicting TBM performance in hard rock condition
inferredcites →https://doi.org/10.1016/s1365-1609(02)00069-2openalex-snapshot
TBM performance estimation using rock mass classifications
inferredcites →https://doi.org/10.1201/9781003762263openalex-snapshot
TBM Tunnelling in Jointed and Faulted Rock
inferredcites →https://doi.org/10.1201/b16978openalex-snapshot
Support of Underground Excavations in Hard Rock
inferredcites →https://doi.org/10.2113/gseegeosci.ii.4.610openalex-snapshot
Support of Underground Excavations in Hard Rock

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Modification of RMR rock mass classification system for improved performance prediction of rock TBMs
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Wear mechanism and life prediction of the ripper in a 9‐m‐diameter shield machine tunneling project of the Beijing new airport line in a sand‐pebble stratum
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TBM performance and disc cutter wear prediction based on ten years experience of TBM tunnelling in Iran
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Soft sedimentary rocks and their boreability characteristics in mechanised tunnelling projects
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Computational Simulation and Experimental Analysis on Wearing Mechanisms of Gypsum and Concrete Samples in Pin‐on‐Disk ASTM Abrasion Testing
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Other TBM Performance Prediction Methods
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Application of Machine Learning (ML)-Based Algorithms in Hard Rock TBM Performance Analysis Using Explainable Artificial Intelligence (XAI)
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Use of Rock Mass Fabric Index in Fuzzy Environment for TBM Performance Prediction
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Grouting Material Development and Treatment of Water and Mud Inflow Caused by TBM Tunneling in Fault Zones
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Feature Selection and Multicollinearity-Sensitivity Relationship in Tunnel Boring Machine Performance Assessment
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Mechanical properties of basaltic volcanic bombs: a case study from the Uhlířský vrch volcano, Czech Republic
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Simultaneous Effects of Joint Spacing and Orientation on TBM Cutting Efficiency in Jointed Rock Masses
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Application of RMR for Estimating Rock-Mass–Related TBM Utilization and Performance Parameters: A Case Study
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Free-face-Assisted Rock Breaking Method Based on the Multi-stage Tunnel Boring Machine (TBM) Cutterhead
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Study on the Influence of Different Control Modes on TBM Disc Cutter Performance by Rotary Cutting Tests
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Influence of Subjectivity in Geological Mapping on the Net Penetration Rate Prediction for a Hard Rock TBM
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Empirical Performance Prediction for Raise Boring Machines Based on Rock Properties, Pilot Hole Drilling Data and Raise Inclination
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Effect of Joint Orientation on the Breakage Behavior of Jointed Rock Mass Loaded by Disc Cutters
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Introducing Tree-Based-Regression Models for Prediction of Hard Rock TBM Performance with Consideration of Rock Type
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Rock Chip Properties of TBM Penetration in Jointed Rock Masses Based on an Improved DICE2D Simulation
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Application of Several Fuzzy-Based Techniques for Estimating Tunnel Boring Machine Performance in Metamorphic Rocks
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Prediction of Engineering Characteristics of Rock Masses Using Actual TBM Performance Data with Supervised and Unsupervised Learning Algorithms (a Case Study in Strong to Very Strong Igneous and Pyroclastic Rocks)
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Assessment of the Relationship Between Rock Mass Classification Systems Using Hybrid XGBoost Algorithms: Insights from the Mechanized Tunnelling Project Database
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Optimized Decision-Making for Tunnel Boring Machine Control Parameters
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Application of the Stacking-Ensemble Machine Learning Algorithm to Investigate the Rock Mass Cuttability Index in Different Lithological Units Using Tunnel Boring Machine Performance Data
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Influence of Two Gage Disc Cutters on TBM Performance and Optimization of Disc Cutter Installation Angle
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Double shield TBM performance analysis in difficult ground conditions: a case study in the Gerede water tunnel, Turkey
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Models for estimation of TBM performance in granitic and mica gneiss hard rocks in a hydropower tunnel
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Evaluation of TBM performance prediction models and sensitivity analysis of input parameters
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TBM performance estimation using a classification and regression tree (CART) technique
inferred← citeshttps://doi.org/10.1007/s10064-020-01947-zopenalex-snapshot
Actual performance analysis of a double shield TBM through sedimentary and low to medium grade metamorphic rocks of Ghomrood water conveyance tunnel project (lots 3 and 4)
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Investigating the relationships between rock mass classification systems based on data from mechanized tunneling projects in Iran
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Decoding rate of penetration of tunnel boring machine in Deccan Traps under varied geological and machine variables using response surface analysis
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Introduction of a modified QTBM model for predicting TBM penetration rate in rock, based on data from mechanized tunneling projects in Iran
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Effects of changing water content of clay-content rocks on field cutter consumption rate of roadheaders: a case study of porous ignimbrites
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Empirical models for estimating penetration rate of tunnel boring machines in rock mass
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TBM performance prediction based on XGBoost models: a case study of the ghomrud water conveyance tunnel (Lots 3 and 4)
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An Extended Multifactorial Fuzzy Prediction of Hard Rock TBM Penetrability
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Application of the Cohesion Softening–Friction Softening and the Cohesion Softening–Friction Hardening Models of Rock Mass Behavior to Estimate the Specific Energy of TBM, Case Study: Amir–Kabir Water Conveyance Tunnel in Iran
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Developing the Rule of Thumb for Evaluating Penetration Rate of TBM, Using Binary Classification
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Sensitivity and Monte Carlo Analysis of Open TBM Diameter: Impacts on Power, Thrust, and Torque
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Cross-project prediction for rock mass using shuffled TBM big dataset and knowledge-based machine learning methods
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A real-time multi-head mixed attention mechanism-based prediction method for tunnel boring machine disc cutter wear
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Intelligent assistant driving method for tunnel boring machine based on big data
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Probabilistic machine learning approach to predict incompetent rock masses in TBM construction
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Real-time prediction of tunnel face conditions using XGBoost Random Forest algorithm
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New equations for predicting the field penetration index of tunnel boring machines in fractured rock mass
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A novel gradient boosting regression tree technique optimized by improved sparrow search algorithm for predicting TBM penetration rate
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Design of Pin-on-Disk Type Abrasion Testing Machine for Durability Assessment of Rock Cutting Tools
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Development of Performance Prediction Model for TBM Using Rock Mass Properties
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Protection of neighbour buildings due to construction of shield tunnel in mixed ground with sand over weathered granite
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A New Performance Prediction Model for Rock TBMs
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Performance of the TBM Gauge Disc Cutter Under a Range of Operational Scenarios
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Theoretical considerations of field penetration index model and its application in TBM performance prediction
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Full-scale test of disc cutter rotary cutting in TBM tunnelling: a case study of Mawan granite in Shenzhen, China
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Fuzzy cognitive maps enabled root cause analysis in complex projects
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State-of-the-art predictive modeling of TBM performance in changing geological conditions through gene expression programming
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Case study of the impacts of pea-gravel grouting defects on loading responses of TBM tunnel segment lining with different surrounding rocks
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TBM penetration rate estimation using Rock Mass Rating (RMR) and machine specifications
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Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system
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Case studies of TBM tunneling performance in rock–soil interface mixed ground
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Introduction of an empirical TBM cutter wear prediction model for pyroclastic and mafic igneous rocks; a case history of Karaj water conveyance tunnel, Iran
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A new model for TBM performance prediction in blocky rock conditions
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The “penalty factors” method for the prediction of TBM performances in changing grounds
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A case study of TBM performance prediction using a Chinese rock mass classification system – Hydropower Classification (HC) method
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A new method for selecting hard rock TBM tunnelling parameters using optimum energy: A case study
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Full-scale linear cutting tests in Chongqing Sandstone to study the influence of confining stress on rock cutting efficiency by TBM disc cutter
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A case study of TBM performance prediction using field tunnelling tests in limestone strata
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An investigation of the relationship between muck geometry, TBM performance, and operational parameters: A case study in Golab II water transfer tunnel
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Predicting TBM utilization factor using discrete event simulation models
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A study of various models used in the estimation of advance rates for hard rock TBMs
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Prediction model of wear rate of inner disc cutter of engineering in Yinsong, Jilin
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Investigating the impact of TBM downtimes on utilization factor based on sensitivity analysis
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Tunnel boring machines (TBM) performance prediction: A case study using big data and deep learning
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Diagnosing tunnel collapse sections based on TBM tunneling big data and deep learning: A case study on the Yinsong Project, China
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Predicting TBM performance in soft sedimentary rocks, case study of Zagros mountains water tunnel projects
inferred← citeshttps://doi.org/10.1016/j.tust.2021.103883openalex-snapshot
Comparison between discrete event simulation approach and various existing empirically-based models for estimation of TBM utilization
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Evaluation of rock muck using image analysis and its application in the TBM tunneling
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Setting up simple estimating equations of TBM penetration rate using rock mass classification parameters
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Prediction of TBM performance in fresh through weathered granite using empirical and statistical approaches
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TBM penetration rate prediction ensemble model based on full-scale linear cutting test
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Influence analysis and relationship evolution between construction parameters and ground settlements induced by shield tunneling under soil-rock mixed-face conditions
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Combining the CSM2020 discrete event simulation model with Decision Aid in Tunneling (DAT) to develop a robust approach for the estimation of completion time for TBM tunnels
inferred← citeshttps://doi.org/10.1016/j.tust.2023.105317openalex-snapshot
An intelligent method for TBM surrounding rock classification based on time series segmentation of rock-machine interaction data
inferred← citeshttps://doi.org/10.1016/j.tust.2023.105440openalex-snapshot
GFII: A new index to identify geological features during shield tunnelling
inferred← citeshttps://doi.org/10.1016/j.tust.2023.105442openalex-snapshot
Analysis and prediction of small-diameter TBM performance in hard rock conditions
inferred← citeshttps://doi.org/10.1016/j.tust.2023.105513openalex-snapshot
Gradient optimization method for tunnel resistivity and chargeability joint inversion based on deep learning
inferred← citeshttps://doi.org/10.1016/j.tust.2023.105525openalex-snapshot
An empirical method for estimating TBM penetration rate using tunnelling specific energy
inferred← citeshttps://doi.org/10.1016/j.tust.2025.106598openalex-snapshot
Prediction model of TBM response parameters based on a hybrid drive of knowledge and data
inferred← citeshttps://doi.org/10.1016/j.tust.2025.106647openalex-snapshot
Prediction of tunnel face rock mass classification using an ensemble model enhanced by feature cross based on TBM boring data
inferred← citeshttps://doi.org/10.1016/j.tust.2025.106741openalex-snapshot
Advanced identification method for adverse geological conditions in TBM tunnels based on stacking ensemble algorithm and Bayesian theory
inferred← citeshttps://doi.org/10.1016/j.tust.2026.107508openalex-snapshot
Data-driven dynamic optimization of TBM rock-breaking efficiency: A robust and generalizable framework with geological safety constraints
inferred← citeshttps://doi.org/10.1016/j.tust.2026.107523openalex-snapshot
Modification of RMR rock mass classification system for improved performance prediction of rock TBMs
inferred← citeshttps://doi.org/10.1016/j.tust.2026.108094openalex-snapshot
Risk warning framework for cutterhead clogging in EPB tunnelling through clayey strata
inferred← citeshttps://doi.org/10.1016/j.undsp.2021.04.003openalex-snapshot
Comprehensive evaluation of machine learning algorithms applied to TBM performance prediction
inferred← citeshttps://doi.org/10.1016/j.undsp.2023.01.001openalex-snapshot
Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods
inferred← citeshttps://doi.org/10.1016/j.undsp.2023.01.002openalex-snapshot
Feedback on a shared big dataset for intelligent TBM Part II: Application and forward look
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.108353openalex-snapshot
A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.113986openalex-snapshot
A Model-Based framework for TBM vibration Monitoring: Integrating coupled dynamics simulation with Full-Scale field data
inferred← citeshttps://doi.org/10.1038/s41598-022-05727-5openalex-snapshot
Automated rock mass condition assessment during TBM tunnel excavation using deep learning
inferred← citeshttps://doi.org/10.1038/s41598-023-28243-6openalex-snapshot
A multistage model for rapid identification of geological features in shield tunnelling
inferred← citeshttps://doi.org/10.1038/s41598-023-37306-7openalex-snapshot
Rock fragmentation indexes reflecting rock mass quality based on real-time data of TBM tunnelling
inferred← citeshttps://doi.org/10.1038/s41598-025-19244-8openalex-snapshot
A jamming risk warning model for TBM tunnelling based on Bayesian statistical methods
inferred← citeshttps://doi.org/10.1061/(asce)co.1943-7862.0002402openalex-snapshot
Modeling Microtunnel Boring Machine Penetration Rate Using a Mechanistic Approach
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000542openalex-snapshot
Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation
inferred← citeshttps://doi.org/10.1061/ijgnai.gmeng-7738openalex-snapshot
Development of a PLSR-BRT Model for Predicting the Performance of Tunnel Boring Machines
inferred← citeshttps://doi.org/10.1061/ijgnai.gmeng-8041openalex-snapshot
Prediction of Disc Cutter Wear Considering the Argillization Effect
inferred← citeshttps://doi.org/10.1061/jpsea2.pseng-1634openalex-snapshot
Mechanistic Modeling of Cutterhead-Ground Engagement Influence on Microtunnel Boring Machine Penetration Rate
inferred← citeshttps://doi.org/10.1080/17486020903174303openalex-snapshot
Developing new equations for TBM performance prediction in carbonate-argillaceous rocks: a case history of Nowsood water conveyance tunnel
inferred← citeshttps://doi.org/10.1080/17486025.2021.1912410openalex-snapshot
TBM performance analysis in very strong and massive rocks; case study: Kerman water conveyance tunnel project, Iran
inferred← citeshttps://doi.org/10.1080/17486025.2026.2669272openalex-snapshot
Towards a more generalised ROP prediction of TBMs through streamlined parameters: application of feature importance and machine learning
inferred← citeshttps://doi.org/10.1080/30656680.2026.2718129openalex-snapshot
Study of prediction method based on reflected waves for identifying macro joint dip angles in rock mass with numerous micro-defects
inferred← citeshttps://doi.org/10.1088/2051-672x/ab8501openalex-snapshot
Wear performance and mechanisms of H13 steels sliding against different Rock types
inferred← citeshttps://doi.org/10.1109/icbaie59714.2023.10281263openalex-snapshot
Prediction of TBM Tunneling Parameters Based on RF
inferred← citeshttps://doi.org/10.1109/ichce57331.2022.10042765openalex-snapshot
Detecting boulders using the horizontal cross-hole seismic method
inferred← citeshttps://doi.org/10.1109/jsen.2025.3618018openalex-snapshot
Electromechanical Sensor-Based Condition Monitoring and Dynamic Load Characterization for TBM Drive System Synchronization Analysis
inferred← citeshttps://doi.org/10.11159/icgre19.122openalex-snapshot
Using Intact Rock Brittleness for Assessing TBM Penetration
inferred← citeshttps://doi.org/10.1117/12.2637349openalex-snapshot
Analysis of parameters for cutting reinforced concrete pipe with spherical hob
inferred← citeshttps://doi.org/10.1134/s1062739122020053openalex-snapshot
Macro-Mesoscopic Fragmentation Characteristics of Rock Beneath Disc Cutters Subjected to the Thermo-Mechanical Coupling Action
inferred← citeshttps://doi.org/10.1144/qjegh2021-126openalex-snapshot
Predicting tunnel-boring machine penetration rate utilizing geomechanical properties
inferred← citeshttps://doi.org/10.1144/qjegh2022-070openalex-snapshot
Reply to discussion on ‘Predicting tunnel-boring machine penetration rate utilizing geomechanical properties’ by Karrari et al. 2022 ( QJEGH , 55, qjegh2021-126)
inferred← citeshttps://doi.org/10.1155/2019/5309480openalex-snapshot
A New Evaluation Method for the Uniaxial Compressive Strength ahead of the Tunnel Face Based on the Driving Data and Specification Parameters of TBM
inferred← citeshttps://doi.org/10.1155/2020/6785260openalex-snapshot
Performance of Slurry Shield Tunnelling in Mixed Strata Based on Field Measurement and Numerical Simulation
inferred← citeshttps://doi.org/10.1155/adce/2143855openalex-snapshot
Mechanical Behavior of a Deep‐Buried Soft Soil Conveyance Tunnel Crossing Soft‐Hard Soil Layers Under High‐Pressure Water Conditions
inferred← citeshttps://doi.org/10.1177/09544062211029330openalex-snapshot
Dynamic analysis and vibration reduction of mechanical-hydraulic coupled tunnel boring machine (TBM) main drive system
inferred← citeshttps://doi.org/10.1177/16878132251314537openalex-snapshot
Vibration mechanism study based on coupled dynamic model for TBM main drive system
inferred← citeshttps://doi.org/10.1186/s40703-024-00220-6openalex-snapshot
Assessment of shear strength of fine-grained and coarse-grained soil using actual EPB-TBM operating data
inferred← citeshttps://doi.org/10.1201/9781003348030-270openalex-snapshot
Classification of fault zones in mechanized tunneling projects
inferred← citeshttps://doi.org/10.1201/b14769-161openalex-snapshot
A fuzzy logic model to predict the performance of hard rock tunnel boring machine
inferred← citeshttps://doi.org/10.14196/sjpas.v3i3.1256openalex-snapshot
An introduction to RAM analysis of EPB tunnel boring machine
inferred← citeshttps://doi.org/10.14311/cej.2020.04.0040openalex-snapshot
PREDICTION OF TBM PENETRATION RATE OF WATER CONVEYANCE TUNNELS IN IRAN USING MODERN METHODS
inferred← citeshttps://doi.org/10.1515/amsc-2017-0057openalex-snapshot
Multivariate Linear Regression and CART Regression Analysis of TBM Performance at Abu Hamour Phase-I Tunnel
inferred← citeshttps://doi.org/10.1631/jzus.a2200516openalex-snapshot
A data-driven approach for modeling and predicting the thrust force of a tunnel boring machine
inferred← citeshttps://doi.org/10.17491/jgsi/2025/174077openalex-snapshot
TBM Performance Prediction Using Statistical and Machine Learning Algorithms: Case Study of Slurry TBM Used in Mumbai Metro Rail Tunnel Line–3 (UGC-03), India
inferred← citeshttps://doi.org/10.17794/rgn.2020.2.6openalex-snapshot
A NEW MODEL FOR PREDICTING THE ADVANCE RATE OF A TUNNEL BORING MACHINE (TBM) IN HARD ROCK CONDITIONS
inferred← citeshttps://doi.org/10.18311/jmmf/2021/29426openalex-snapshot
Selection methodology for roadheader and tunnel boring machine in different geological conditions: national perspective plan project (CPRI) – a success story
inferred← citeshttps://doi.org/10.2139/ssrn.5378424openalex-snapshot
Optimizing Tbm Operations: Forecasting Field Penetration Index with Advanced Computational Models - a Case Study
inferred← citeshttps://doi.org/10.22044/jme.2012.86openalex-snapshot
Evaluation of TBM Utilization Using Rock Mass Rating System: A Case Study of Karaj-Tehran Water Conveyance Tunnel (Lots 1 and 2)
inferred← citeshttps://doi.org/10.2205/2020es000757openalex-snapshot
3D Computer-Assisted Geological Mapping: Testing WinGeol's FaultTrace for semi-automatic structural geological assessment
inferred← citeshttps://doi.org/10.3233/jifs-232989openalex-snapshot
Tunnel boring machine performance assessment and prediction applying hybrid artificial intelligence
inferred← citeshttps://doi.org/10.33142/sca.v6i12.10632openalex-snapshot
复杂富水地层盾构掘进速率评价及预测方法研究
inferred← citeshttps://doi.org/10.3389/fbuil.2025.1699466openalex-snapshot
Estimating shield tunnel boring machine penetration rate in mixed face conditions: feature selection and multicollinearity effects on machine and deep learning models
inferred← citeshttps://doi.org/10.3390/app13042612openalex-snapshot
Evaluation of Cutting Performance of a TBM Disc Cutter and Cerchar Abrasivity Index Based on the Brittleness and Properties of Rock
inferred← citeshttps://doi.org/10.3390/app13106050openalex-snapshot
BILSTM-Based Deep Neural Network for Rock-Mass Classification Prediction Using Depth-Sequence MWD Data: A Case Study of a Tunnel in Yunnan, China
inferred← citeshttps://doi.org/10.3390/app14114623openalex-snapshot
Analysis of Shield Tunneling Parameters and Research on Prediction Model of Tunneling Excavation Speed in Volcanic Ash Strata of Jakarta–Bandung High-Speed Railway Project
inferred← citeshttps://doi.org/10.3390/buildings14071893openalex-snapshot
Classification and Prediction of Rock Mass Boreability Based on Daily Advancement during TBM Tunneling
inferred← citeshttps://doi.org/10.3390/pr10122597openalex-snapshot
Safety-Risk Assessment for TBM Construction of Hydraulic Tunnel Based on Fuzzy Evidence Reasoning
inferred← citeshttps://doi.org/10.3989/id54459openalex-snapshot
Correlación entre el índice RMR de Bieniawski y el índice Q de Barton en formaciones sedimentarias de grano fino
inferred← citeshttps://doi.org/10.4018/978-1-5225-7033-2.ch061openalex-snapshot
Geological and Geotechnical Investigations in Tunneling
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