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Clogging of slurry-shield tunnel-boring machine drives in sedimentary soft rock: A case study

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0984-8

Abstract: This paper presents a case study of the clogging of a slurry-shield tunnel-boring machine (TBM) experienced

Keywords: slurry-shield TBM     geological investigation     clogging     argillaceous siltstone     TBM performance     mitigation measures    

Lake Mead Intake No. 3

Jon Hurt, Claudio Cimiotti

Engineering 2017, Volume 3, Issue 6,   Pages 880-887 doi: 10.1016/j.eng.2017.11.007

Abstract: handle the difficult conditions that were encountered during tunneling with a dualmode slurry tunnel-boringmachine (TBM) in up to 15 bar (1 bar= 105 Pa) pressure.

Keywords: Sub-aqueous tunneling     Tunnel-boring machine excavation     Water intakes    

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: In recent years, tunnel boring machines (TBMs) have been widely used in tunnel construction.

Keywords: tunnel boring machine     control parameter optimization     quantum particle swarm optimization     artificial    

Field and laboratory experimental studies on hard-rock tunnel excavation based on disc cutter coupled with high-pressure waterjet

Frontiers of Structural and Civil Engineering   Pages 1370-1386 doi: 10.1007/s11709-023-0947-0

Abstract: The tunnel boring machine (TBM) is typically used in hard-rock tunnel excavation.

Keywords: tunnel boring machine     hard-rock cutting     free face     disc cutter     rock-cutting efficiency    

A new method for boring of non-circular holes

ZHANG Kai, HU De-jin

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 456-460 doi: 10.1007/s11465-006-0058-3

Abstract: mechanism composed of an electromagnetic stator and an electromagnetic rotor has been developed for boringThe proposed mechanism can feasibly supply a controllable micro displacement to the boring bar.

Keywords: electromagnetic actuation     control method     displacement     flexible body     revolving electromagnetic    

Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of human–machine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in human–machineTherefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilitiesAfterward, we review the literature on human–machine collaboration in a general decision context, fromthe perspectives of human–machine organization, relationship, and collaboration.

Keywords: human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords: Soil contamination     Machine learning     Prediction     Spatial distribution    

Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1721-1

Abstract:

● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.

Keywords: Elemental composition     Infrared spectroscopy     Machine learning     Moisture interference     Solid waste     Spectral    

State-of-the-art applications of machine learning in the life cycle of solid waste management

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 4, doi: 10.1007/s11783-023-1644-x

Abstract:

● State-of-the-art applications of machine learning (ML) in solid waste

Keywords: Machine learning (ML)     Solid waste (SW)     Bibliometrics     SW management     Energy utilization     Life cycle    

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: Using machine vision technology to complete the location mission is new and very efficient.This paper presents an integrated visual location system for solder paste printing based on machine vision

Keywords: machine vision     visual location     solder paste printing     VisionPro    

Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1738-5

Abstract:

● A novel integrated machine learning method to analyze O3

Keywords: Ozone     Integrated method     Machine learning    

Evaluation and prediction of slope stability using machine learning approaches

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 821-833 doi: 10.1007/s11709-021-0742-8

Abstract: In this paper, the machine learning (ML) model is built for slope stability evaluation and meets the

Keywords: slope stability     factor of safety     regression     machine learning     repeated cross-validation    

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThe SVM, a novel learning machine based on statistical theory, uses structural risk minimization (SRM

Keywords: earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: exploration of the design variable space for such scenarios, an adaptive sampling technique based on machine

Keywords: machine learning     flowsheet simulations     constraints     exploration    

Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: advanced data processing, storage and analysis, advanced process control, artificial intelligence and machineExploitation of the information contained in these data requires the use of advanced machine learning

Keywords: big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

Title Author Date Type Operation

Clogging of slurry-shield tunnel-boring machine drives in sedimentary soft rock: A case study

Journal Article

Lake Mead Intake No. 3

Jon Hurt, Claudio Cimiotti

Journal Article

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article

Field and laboratory experimental studies on hard-rock tunnel excavation based on disc cutter coupled with high-pressure waterjet

Journal Article

A new method for boring of non-circular holes

ZHANG Kai, HU De-jin

Journal Article

Challenges of human–machine collaboration in risky decision-making

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Journal Article

State-of-the-art applications of machine learning in the life cycle of solid waste management

Journal Article

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Journal Article

Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Journal Article

Evaluation and prediction of slope stability using machine learning approaches

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article