The Experts below are selected from a list of 5988 Experts worldwide ranked by ideXlab platform
Saffet Yagiz - One of the best experts on this subject based on the ideXlab platform.
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A model for the prediction of Tunnel Boring Machine performance
2020Co-Authors: Saffet YagizAbstract:A key factor in the successful application of a Tunnel Boring Machine (TBM) in Tunnelling is the ability to develop accurate penetration rate estimates for determining project schedule and costs. Rate of penetration (ROP), defined as the distance the Machine advances in a given time in rock, is a complex process that not only depends upon intact and rock mass properties (strength, fractures, and texture of rock) but also Machine specifications including thrust and torque requirement. The Earth Mechanics Institute (EMI) of the Colorado School of Mines (CSM) has developed a model to predict the performance of TBM in hard rock conditions. The model is primarily based on intact rock properties and Machine specification. Although the model has proven reliable in massive rock conditions, its accuracy has been limited in brittle rocks exhibiting a high degree of fracturing. Therefore, this research was conducted to investigate the effect of rock mass fracture and brittleness on TBM performance. In order to accomplish the goal, extensive mapping of the Tunnel was conducted to make a record of the joints and fractures along the 16-kilometer long Queens Water Tunnel in New York City. A large number of cores were taken from inside the Tunnel where rock exhibited varying degrees of fracturing to conduct geomechanical tests including uniaxial compressive strength, tensile strength, and punch penetration tests. Additionally, the field TBM data from the Tunnel was analysed in detail. Consequently, the data collected for the Machine, rock properties and geology were then subjected to a multiple regression analysis together with the basic penetration rate derived from the existing model. As a result of this research, a new model was proposed for TBM performance prediction.
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A support vector regression model for predicting Tunnel Boring Machine penetration rates
International Journal of Rock Mechanics and Mining Sciences, 2014Co-Authors: Satar Mahdevari, Saffet Yagiz, Kourosh Shahriar, Mohsen Akbarpour ShiraziAbstract:Abstract With widespread increasing applications of mechanized Tunneling in almost all ground conditions, prediction of Tunnel Boring Machine (TBM) performance is required for time planning, cost control and choice of excavation method in order to make Tunneling economical. Penetration rate is a principal measure of full-face TBM performance and is used to evaluate the feasibility of the Machine and predict advance rate of excavation. This research aims at developing a regression model to predict penetration rate of TBM in hard rock conditions based on a new artificial intelligence (AI) algorithm namely support vector regression (SVR). For this purpose, the Queens Water Tunnel, in New York City, was selected as a case study to test the proposed model. In order to find out the optimum values of the parameters and prevent over-fitting, 80% of the total data were selected randomly for training set and the rest were kept for testing the model. According to the results, it can be said that the proposed model is a useful and reliable means to predict TBM penetration rate provided that a suitable dataset exists. From the prediction results of training and testing samples, the squared correlation coefficient ( R 2 ) between the observed and predicted values of the proposed model was obtained 0.99 and 0.95, respectively, which shows a high conformity between predicted and actual penetration rate.
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predicting penetration rate of hard rock Tunnel Boring Machine using fuzzy logic
Bulletin of Engineering Geology and the Environment, 2014Co-Authors: Ebrahim Ghasemi, Saffet Yagiz, Mohammad AtaeiAbstract:Predicting the penetration rate of a Tunnel Boring Machine (TBM) plays an important role in the economic and time planning of Tunneling projects. In the past years, various empirical methods have been developed for the prediction of TBM penetration rates using traditional statistical analysis techniques. Soft computing techniques are now being used as an alternative statistical tool. In this study, a fuzzy logic model was developed to predict the penetration rate based on collected data from one hard rock TBM Tunnel (the Queens Water Tunnel # 3, Stage 2) in New York City, USA. The model predicts the penetration rate of the TBM using rock properties such as uniaxial compressive strength, rock brittleness, distance between planes of weakness and the orientation of discontinuities in the rock mass. The results indicated that the fuzzy model can be used as a reliable predictor of TBM penetration rate for the studied Tunneling project. The determination coefficient (R2), the variance account for and the root mean square error indices of the proposed fuzzy model are 0.8930, 89.06 and 0.13, respectively.
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application of two non linear prediction tools to the estimation of Tunnel Boring Machine performance
Engineering Applications of Artificial Intelligence, 2009Co-Authors: Saffet Yagiz, Candan Gokceoglu, Ebru Akcapinar Sezer, Serdar IplikciAbstract:Predicting Tunnel Boring Machine (TBM) performance is a crucial issue for the accomplishment of a mechanical Tunnel project, excavating via full face Tunneling Machine. Many models and equations have previously been introduced to estimate TBM performance based on properties of both rock and Machine employing various statistical analysis techniques. However, considering the nature of the problem, it is relatively difficult to estimate Tunnel Boring Machine performance by linear prediction models. Artificial neural networks (ANNs) and non-linear multiple regression models have great potential for establishing such prediction models. The purpose of the present study is the construction of non-linear multivariable prediction models to estimate TBM performance as a function of rock properties. For this purpose, rock properties and Machine data were collected from recently completed TBM Tunnel project in the City of New York, USA and consequently the database was established to develop performance prediction models utilizing the ANN and the non-linear multiple regression methods. This paper presents the results of study into the application of the non-linear prediction approaches providing the acceptable precise performance estimations.
Gong Yadong - One of the best experts on this subject based on the ideXlab platform.
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ISCID (1) - Development and Application of a Virtual Simulation System for Tunnel Boring Machine
2009 Second International Symposium on Computational Intelligence and Design, 2009Co-Authors: Gong YadongAbstract:The application background and practical requirement of virtual simulation system of Tunnel Boring Machine has been discussed in this paper. Software MultiGen Creator and Vega are used to build the Tunnel Boring Machine model. Application program of virtual simulation system base on virtual reality is developed by using C++, The author also studys on key technologies of constructing virtual simulation system of Tunnel Boring Machine. The result shows that the work station can be simulated well, and this virtual simulation system can be extended in virtual training and manipulation--virtual construction and so on.
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Research of Virtual Assembly for Tunnel Boring Machine Based on Division
2009 International Forum on Computer Science-Technology and Applications, 2009Co-Authors: Gong Yadong, Jiao Zhongjian, Yang YuxiangAbstract:The application background and practical requirement of virtual assembly system of Tunnel Boring Machine has been discussed in this paper. Software PROE is used to build the Tunnel Boring Machine model. Application program of virtual assembly system base on virtual reality is developed by using Division, The author also studys on key technologies of constructing virtual assembly system of Tunnel Boring Machine, such as interference detection in virtual environment. The result shows that the work station can be simulated well, and this virtual simulation system can be extended in virtual training and manipulation, virtual construction and so on.
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Research of Simulation for Tunnel Boring Machine Based on Virtual Reality
2009 International Conference on New Trends in Information and Service Science, 2009Co-Authors: Gong Yadong, Yang JianyuAbstract:The application background and practical requirement of virtual simulation system of Tunnel Boring Machine have been discussed in this paper. Software MultiGen Creator and Vega are used to build the Tunnel Boring Machine model. Application program of virtual simulation system based on virtual reality is developed by using C++, The author also studys on some key technologie of constructing virtual simulation system of Tunnel Boring Machine, such as multi-cylinder synchronous simulation in virtual environment. The result shows that the work station can be simulated well, and this virtual simulation system can be extended in virtual training and manipulation virtual construction and so on.
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Development and Application of a Virtual Simulation System for Tunnel Boring Machine
2009 Second International Symposium on Computational Intelligence and Design, 2009Co-Authors: Gong YadongAbstract:The application background and practical requirement of virtual simulation system of Tunnel Boring Machine has been discussed in this paper. Software MultiGen Creator and Vega are used to build the Tunnel Boring Machine model. Application program of virtual simulation system base on virtual reality is developed by using C++, The author also studys on key technologies of constructing virtual simulation system of Tunnel Boring Machine. The result shows that the work station can be simulated well, and this virtual simulation system can be extended in virtual training and manipulation--virtual construction and so on.
Yadong Gong - One of the best experts on this subject based on the ideXlab platform.
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Research on Hard Rock Tunnel Boring Machine Based on Digital Mockup
Applied Mechanics and Materials, 2014Co-Authors: Xiao Xu Zhao, Yadong GongAbstract:A digital mockup of hard rock Tunnel Boring Machine was built in order to study the design method of these large equipments. Technology of digital mockup is introduced and the application background and practical requirement of Tunnel Boring Machine has been discussed in this paper. The kinematics model and FEM model were built based on this digital mockup. The results of simulation experiment can be used to provide pre-feasibility validation and optimization of the equipment.
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Research on the Load on Cutter Head of Hard Rock Tunnel Boring Machine
Applied Mechanics and Materials, 2014Co-Authors: Xiao Xu Zhao, Yadong GongAbstract:Study on the load exerted on cutter head is very useful for the design and performance prediction of hard rock Tunnel Boring Machines. A composite model based on smoothed particle hydrodynamics and finite element method was carried out using AUTODYN software to study the rock fragmentation mechanism of constant cross-section disk cutters in cutter head. The normal force, rolling force and side force on the disk cutters with different cutter radius were researched in the numerical simulation study. The results were verified by historical literature data. To obtain the distribution of the forces with different cutter radius, the loading of cutter head of a Ф5.75 hard rock Tunnel Boring Machine were analyzed. The result shows that it is useful for cutter head’s design and its layout optimization.
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Investigation on Key Technology of Virtual Assembly and Construction for Tunnel Boring Machine
Applied Mechanics and Materials, 2011Co-Authors: Jun Cheng, Yadong GongAbstract:This study presents a practical requirement and realizes one new virtual construction interactive system for Tunnel Boring Machine. One type of TBM(Tunnel Boring Machine)’s virtual prototype has been built. Software PROE is used to build the shield Machine model. Application program of virtual assembly system base on virtual reality is developed by using Division, The author also study on key technologies of constructing virtual assembly system of shield Machine, such as interference detection in virtual environment. Application program of virtual simulation system base on virtual reality is developed by using C++. The result shows that the work station can be simulated well, and this virtual simulation system can be extended in virtual training and manipulation, virtual construction and so on.
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Research on simulation of Tunnel Boring Machine based on virtual prototype
International Journal of Internet Manufacturing and Services, 2010Co-Authors: Yadong Gong, Jun ChengAbstract:Technology of digital mockup is introduced and the application background and practical requirement of Tunnel Boring Machine has been discussed in this paper. One type of EPB Tunnel Boring Machine's virtual prototype has been built. Software PROE is used to build the Tunnel Boring Machine model. Application program of virtual assembly system base on virtual reality is developed by using division. The author also study on key technologies of constructing virtual assembly system of Tunnel Boring Machine, such as interference detection in virtual environment. The result shows that the work station can be simulated well, and this virtual simulation system can be extended in virtual training and manipulation, virtual construction and so on. And finite element analysis of some critical components is operated. Structure strength checking which can provide support for the optimal design of segment erector has been made.
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Development of a Digital Mockup for Tunnel Boring Machine
Applied Mechanics and Materials, 2009Co-Authors: Jun Cheng, Yadong Gong, Ying Qiang XuAbstract:Technology of digital mockup is introduced and the application background and practical requirement of Tunnel Boring Machine has been discussed in this paper. One type of EPB Tunnel Boring Machine’s digital mockup is built. The kinematics simulation of working station is disigned base on it. And finite element analysis of some critical componants are operated in CATIA.
Jianghui Dong - One of the best experts on this subject based on the ideXlab platform.
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the multi stage rock fragmentation load prediction model of Tunnel Boring Machine cutter group based on dense core theory
The International Journal of Advanced Manufacturing Technology, 2017Co-Authors: Weizheng Wang, Jingxiu Ling, Jianghui DongAbstract:Disk cutter is a working part of the Tunnel Boring Machine (TBM), which is directly in contact with the rock, bearing a strong impact load and vibration, so the structure is very easy to have damage and failure. The accurate prediction of the cutter group load is the key to structure design of cutters. However, the existing prediction model cannot reflect the multi-peak characteristics in the breaking process. In this paper, a theoretical prediction model of the disk cutter group of a TBM is presented. The model is based on dense core theory, rock characteristics, the types of disk cutters, the layout and structural parameters of the cutters, Tunneling parameters, and the compound multi-stage space breaking load. A linear disk cutting test was carried out to verify the accuracy of the theoretical prediction model. The model reflects the multi-stage peak value and segmented step of the cutter load, and based on the theoretical prediction model, the effects of the cutter installation radius and the tilt angle of the gauge cutters on the load are analyzed. The results presented provide a theoretical basis for the prediction of the cutter load and the arrangement of the cutters in a TBM.
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analyses of dynamic characteristics and structure optimization of Tunnel Boring Machine cutter system with multi joint surface
Nonlinear Dynamics, 2017Co-Authors: Liping Wang, Jianghui DongAbstract:There will be structural failure in the cutter system with different degrees due to the vibration of cutters. Moreover, in the extreme environment, the dynamics behavior of the cutter system is hard to predict, and it is difficult to realize the anti-vibration design of cutters. Therefore, it is of great theoretical value and engineering significance to analyze the dynamics characteristics of Tunnel Boring Machine (TBM) cutter system, optimize cutter structure, and improve the anti-vibration capability. In this paper, the typical TBM cutter systems are studied, based on the lumped mass method, a multi-degree of freedom coupling dynamics model of the TBM cutter system with multi-joint surface is established. Then, the model is verified by the cutter mount vibration experiment, and it is proved that the joint surfaces have a great influence on the vibration performance of cutter system. Finally, the vibration responses and loading transfer law of the cutter are analyzed, and a cutter structural optimization scheme is proposed. The optimization results show that the vibration and loading fluctuation of the upper and lower wedge block cutter mount are relatively smaller, and the cross section of upper wedge block is an isosceles trapezoid after optimization. The vertical vibration displacement of the cutter mount and the wedge block are reduced by \(\sim \)67 % and 53 %, respectively. The vibration damage of cutter system is greatly reduced. The research of this paper may provide a theoretical guidance for the structure design of the cutters.
Jun Cheng - One of the best experts on this subject based on the ideXlab platform.
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Investigation on Key Technology of Virtual Assembly and Construction for Tunnel Boring Machine
Applied Mechanics and Materials, 2011Co-Authors: Jun Cheng, Yadong GongAbstract:This study presents a practical requirement and realizes one new virtual construction interactive system for Tunnel Boring Machine. One type of TBM(Tunnel Boring Machine)’s virtual prototype has been built. Software PROE is used to build the shield Machine model. Application program of virtual assembly system base on virtual reality is developed by using Division, The author also study on key technologies of constructing virtual assembly system of shield Machine, such as interference detection in virtual environment. Application program of virtual simulation system base on virtual reality is developed by using C++. The result shows that the work station can be simulated well, and this virtual simulation system can be extended in virtual training and manipulation, virtual construction and so on.
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Research on simulation of Tunnel Boring Machine based on virtual prototype
International Journal of Internet Manufacturing and Services, 2010Co-Authors: Yadong Gong, Jun ChengAbstract:Technology of digital mockup is introduced and the application background and practical requirement of Tunnel Boring Machine has been discussed in this paper. One type of EPB Tunnel Boring Machine's virtual prototype has been built. Software PROE is used to build the Tunnel Boring Machine model. Application program of virtual assembly system base on virtual reality is developed by using division. The author also study on key technologies of constructing virtual assembly system of Tunnel Boring Machine, such as interference detection in virtual environment. The result shows that the work station can be simulated well, and this virtual simulation system can be extended in virtual training and manipulation, virtual construction and so on. And finite element analysis of some critical components is operated. Structure strength checking which can provide support for the optimal design of segment erector has been made.
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Development of a Digital Mockup for Tunnel Boring Machine
Applied Mechanics and Materials, 2009Co-Authors: Jun Cheng, Yadong Gong, Ying Qiang XuAbstract:Technology of digital mockup is introduced and the application background and practical requirement of Tunnel Boring Machine has been discussed in this paper. One type of EPB Tunnel Boring Machine’s digital mockup is built. The kinematics simulation of working station is disigned base on it. And finite element analysis of some critical componants are operated in CATIA.
