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Time-frequency characteristic and recognition technology of acoustic emission generated from rock brittle fracture Jianwei Liu1,a, Xianzhen Wu1,b, Xiangxin Liu 2,c 1Jiangxi University of Science and Technology, Ganzhou, China 2Hebei Mining Industry Develops with Safe Technology Priority Laboratory, Tangshan, China ajxust_liujianwei@sina.cn, bwxz2001666@sina.com, cliuxiangxin9@163.com Keywords: Rock mechanics; Acoustic emission (AE); EMD energy entropy; BP neural network; Recognition Abstract.
The research for pattern recognition of acoustic emission signal generated from rock burst damage is not much, and it has been quite succeeding in fields such as mechanical fault diagnosis, nondestructive testing of artificial solid materials and so on[3].
Acknowledgements This work was financially supported by education department of Jiangxi in China (GJJ12336), graduate student innovation fund of Jiangxi University of Science and Technology (YC2012-X05).
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Acknowledgment The authors acknowledge the National Natural Science Foundation.
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Study on the Calculation Method of Light Shed on Rockfall Impact Protection Xin Lou1, a, Yitang Zhou1, b, Jianrong Yang1, Zhiqiang Chen2 1 Kunming University of Science and Technology, Kunming, 650500, China. 2 Highway Science and Technology Research Institute of Yunnan Province, Kunming, 650051, China.
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This coordination means the diversity principle which design respects material culture, and reducing the size of development of resources [1].
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The material parameters are declared in table 1.
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