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A multi-purpose prototype test system for mechanical behavior of tunnel supporting structure: Development and application 被引量:1
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作者 Hongbin Chen xinhua you +1 位作者 Dajun Yuan Yang Ping 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2023年第2期467-476,共10页
A multi-purpose prototype test system is developed to study the mechanical behavior of tunnel sup-porting structure,including a modular counterforce device,a powerful loading equipment,an advanced intelligent manageme... A multi-purpose prototype test system is developed to study the mechanical behavior of tunnel sup-porting structure,including a modular counterforce device,a powerful loading equipment,an advanced intelligent management system and an efficient noncontact deformation measurement system.The functions of the prototype test system are adjustable size and shape of the modular counterforce structure,sufficient load reserve and accurate loading,multi-connection linkage intelligent management,and high-precision and continuously positioned noncontact deformation measurement.The modular counterforce structure is currently the largest in the world,with an outer diameter of 20.5 m,an inner diameter of 16.5 m and a height of 6 m.The case application proves that the prototype test system can reproduce the mechanical behavior of the tunnel lining during load-bearing,deformation and failure processes in detail. 展开更多
关键词 Prototype test system Tunnel supporting structure Tunnel fire LINING Mechanical behavior
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Mathematical models for some problems in textile engineering and its corresponding discussions
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作者 Li Zhang xinhua you +1 位作者 Jun Chen Liang Zhang 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2014年第2期13-24,共12页
Textile industry is very important to the development of Chinese industry and econ-omy.Image processing techniques are beneficial to improve the quality of cotton goods.Suitable blending ratio of yarn is good for it.I... Textile industry is very important to the development of Chinese industry and econ-omy.Image processing techniques are beneficial to improve the quality of cotton goods.Suitable blending ratio of yarn is good for it.It is significant to measure the blending ratio of yarn in the practice of textile engineering.Combined with results done by other scholars,this paper uses the concepts of acreage index,abnormity index and fluctuation index.Based on these morphologic indices,it is convenient to construct corresponding eigenvector and to discuss useful mathematical method for the cluster analysis during the measurement of the blending ratio.This paper also sets up some kinds of nonlin-ear optimization model for the problem.Using classical integer programming algorithm,support vector machine algorithm and genetic algorithm to the problem,we get fine results for cluster analysis.Finally,we give out another problem of image processing and have some discussions about it. 展开更多
关键词 Blending ratio morphologic index nonlinear optimization support vector machine genetic algorithm
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