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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    

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Experimental study on working parameters of earth pressure balance shield machine tunneling in soft ground

ZHU Hehua, LIAO Shaoming, XU Qianwei, ZHENG Qizhen

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 350-358 doi: 10.1007/s11709-008-0051-5

Abstract: Deep sedimentary deposits of soft clays are widely distributed in coastal areas as well as many interiorIn order to study the stratum adaptability of earth pressure balance (EPB) shield machine tunneling insuch types of soft ground, model tests of tunneling excavation, using the running tunnel of the Shanghaiand soil properties, but also serve as a guide for the design and construction of shield tunnel in soft

Keywords： construction     different     coastal     conveyor     excavation    

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Surface tension of liquid metal: role, mechanism and application

Xi ZHAO, Shuo XU, Jing LIU

Frontiers in Energy 2017, Volume 11, Issue 4,   Pages 535-567 doi: 10.1007/s11708-017-0463-9

Abstract: applications involved from chip cooling, thermal energy harvesting, hydrogen generation, shape changeable soft

Keywords： surface tension     liquid metal     soft machine     printed electronics     electrowetting     self-actuation    

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A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing Article

Yaoyao Bao, Yuanming Zhu, Feng Qian

Engineering 2022, Volume 18, Issue 11,   Pages 186-196 doi: 10.1016/j.eng.2022.04.025

Abstract:

Inspired by the tremendous achievements of meta-learning in various fields, this paper proposes the local quadratic embedding learning (LQEL) algorithm for regression problems based on metric learning and neural networks (NNs). First, Mahalanobis metric learning is improved by optimizing the global consistency of the metrics between instances in the input and output space. Then, we further prove that the improved metric learning problem is equivalent to a convex programming problem by relaxing the constraints. Based on the hypothesis of local quadratic interpolation, the algorithm introduces two lightweight NNs; one is used to learn the coefficient matrix in the local quadratic model, and the other is implemented for weight assignment for the prediction results obtained from different local neighbors. Finally, the two sub-models are embedded in a unified regression framework, and the parameters are learned by means of a stochastic gradient descent (SGD) algorithm. The proposed algorithm can make full use of the information implied in target labels to find more reliable reference instances. Moreover, it prevents the model degradation caused by sensor drift and unmeasurable variables by modeling variable differences with the LQEL algorithm. Simulation results on multiple benchmark datasets and two practical industrial applications show that the proposed method outperforms several popular regression methods.

Keywords： Local quadratic embedding     Metric learning     Regression machine     Soft sensor    

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Data-driven soft sensors in blast furnace ironmaking: a survey Review Article

Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 327-354 doi: 10.1631/FITEE.2200366

Abstract: Specifically, we first conduct a comprehensive overview of various data-driven soft sensor modeling methods

Keywords： Soft sensors     Data-driven modeling     Machine learning     Deep learning     Blast furnace     Ironmaking process    

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Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using soft

Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1379-1392 doi: 10.1007/s11709-019-0562-2

Abstract: To date, very few researchers employed the Least Square Support Vector Machine (LSSVM) in predicting

Keywords： Least Square Support Vector Machine     Artificial Neural Network     resilient modulus     Recycled Concrete Aggregate    

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Development of soft kernel durum wheat

Craig F. MORRIS

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 3,   Pages 273-278 doi: 10.15302/J-FASE-2019259

Abstract: There are three kernel texture classes in wheat: soft and hard hexaploid ( ), and very hard durum ( subspTypical SKCS values for soft wheat would be around 25 and for durum wheat≥80.Soft kernel durum wheat was created via homeologous recombination using the mutation, which facilitateddurum grain resulted in kernel texture and flour milling characteristics nearly identical to that of softAgronomically, soft durum germplasm showed good potential with moderate grain yield and resistance to

Keywords： soft durum wheat     grain hardness     puroindolines     milling     baking     pasta     noodles    

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Performance of soft-hard-soft (SHS) cement based composite subjected to blast loading with consideration

Jun WU,Xuemei LIU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 3,   Pages 323-340 doi: 10.1007/s11709-015-0301-2

Abstract: This paper presents a combined experimental and numerical study on the damage and performance of a soft-hard-soft

Keywords： high strength concrete (SHS)     engineered cementitious composite     interface     blast test     strain rate effect    

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Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0678-2

Abstract: their inherent great flexibility, good compliance, excellent adaptability, and safe interactivity, softrobots an important position in the field of soft robots.In this paper, a soft robot with 10 soft modules, comprising three uniformly distributed endoskeletonA novel kinematic modeling method for variable-curvature soft robots based on the minimum energy methodThe prototype and modeling method can provide a new perspective for soft robot design, modeling, and

Keywords： pneumatic artificial muscles     soft robot     modeling approach     principle of virtual work     external load    

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A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in Article

Yan-Ning Sun,Wei Qin,Jin-Hua Hu,Hong-Wei Xu,Poly Z.H. Sun

Engineering 2023, Volume 22, Issue 3,   Pages 82-93 doi: 10.1016/j.eng.2022.06.019

Abstract:

The soft sensing of key performance indicators (KPIs) plays an essential role in the decision-makingMany researchers have developed data-driven soft sensors using cutting-edge machine learning (ML) orRather, it should be able to automatically select a subset of features for soft sensor modeling, in whichTherefore, this study proposes a causal model-inspired automatic feature-selection method for the softFinally, the constructed subset is used to develop soft sensors for the KPIs by means of an AdaBoost

Keywords： Big data analytics     Machine intelligence     Quality prediction     Soft sensors     Intelligent manufacturing    

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Analysis of load and adaptability of disc cutters during shield tunneling in soft–hard varied strata

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 4,   Pages 533-545 doi: 10.1007/s11709-023-0946-1

Abstract: The disc cutters of shield machines exhibit unsatisfactory adaptability and performance during the soft–hardthe rotation state, cutting performance, and adaptability of disc cutters during shield tunneling in soft–hardThe tangential loads of the disc cutters during the cutting of four typical soft-strata excavation faceA greater penetration is suggested for soft-strata tunneling to allow the disc cutters to rotate smoothly

Keywords： shield tunneling     disc cutter load     laboratory excavation test     numerical calculation     soft–hard varied    

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Risk stratification system for skin and soft tissue infections after allogeneic hematopoietic stem cell

Frontiers of Medicine 2022, Volume 16, Issue 6,   Pages 957-968 doi: 10.1007/s11684-021-0910-1

Abstract: Skin and soft tissue infections (SSTIs) refer to infections involving the skin, subcutaneous tissue,

Keywords： skin and soft tissue infections     hematopoietic stem cell transplantation     risk stratification system    

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Design and experiment of a novel pneumatic soft arm based on a deployable origami exoskeleton

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0770-2

Abstract: Soft arms have shown great application potential because of their flexibility and compliance in unstructuredHowever, soft arms made from soft materials exhibit limited cargo-loading capacity, which restricts theirIn this research, a novel soft arm was developed by coupling a rigid origami exoskeleton with soft airbagsThe joint module of the soft arm was composed of a deployable origami exoskeleton and three soft airbagsThe motion and load performance of the soft arm of the eight-joint module was tested.

Keywords： pneumatic soft arm     soft airbag     deployable origami exoskeleton     bistable characteristics     cargo-loading    

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Crack evolution of soft–hard composite layered rock-like specimens with two fissures under uniaxial compression

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1372-1389 doi: 10.1007/s11709-021-0772-2

Abstract: image correlation were used to study the spatiotemporal evolution characteristics of crack extension of softHard layers predominantly produce tensile cracks; soft layers produce shear cracks.

Keywords： soft−hard composite layered rock mass     double cracks     crack evolution     acoustic emission     digital image    

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Seismic responses of subway station with different distributions of soft soil in Tianjin

Dejian YANG,Meiling DUAN

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 2,   Pages 187-193 doi: 10.1007/s11709-014-0252-z

Abstract: boundary by using ANSYS and analyzed seismic responses of subway station with different distribution of softThe nonlinear dynamic properties of soft soils are modeled by the KINH.and internal force on subway station in the general field soil and five different distributions of softProvide reference for improving the seismic performance of subway stations in Tianjin soft soil.

Keywords： distribution of soft soil     soft soil in Tianjin     seismic response     ANSYS    

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Title Author Date Type Operation

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

Journal Article

Experimental study on working parameters of earth pressure balance shield machine tunneling in soft ground

ZHU Hehua, LIAO Shaoming, XU Qianwei, ZHENG Qizhen

Journal Article

Surface tension of liquid metal: role, mechanism and application

Xi ZHAO, Shuo XU, Jing LIU

Journal Article

A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing

Yaoyao Bao, Yuanming Zhu, Feng Qian

Journal Article

Data-driven soft sensors in blast furnace ironmaking: a survey

Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG

Journal Article

Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using soft

Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU

Journal Article

Development of soft kernel durum wheat

Craig F. MORRIS

Journal Article

Performance of soft-hard-soft (SHS) cement based composite subjected to blast loading with consideration

Jun WU,Xuemei LIU

Journal Article

Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles

Journal Article

A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in

Yan-Ning Sun,Wei Qin,Jin-Hua Hu,Hong-Wei Xu,Poly Z.H. Sun

Journal Article

Analysis of load and adaptability of disc cutters during shield tunneling in soft–hard varied strata

Journal Article

Risk stratification system for skin and soft tissue infections after allogeneic hematopoietic stem cell

Journal Article

Design and experiment of a novel pneumatic soft arm based on a deployable origami exoskeleton

Journal Article

Crack evolution of soft–hard composite layered rock-like specimens with two fissures under uniaxial compression

Journal Article

Seismic responses of subway station with different distributions of soft soil in Tianjin

Dejian YANG,Meiling DUAN

Journal Article