Research of concrete cracking propagation based on information entropy evolution

	Research of concrete cracking propagation based on information entropy evolution
	Xiang, Changsheng 1; Zhou, Yu 1; Zhao, Bin 2; Zhang, Liang 3; Mao, Fuchao 1
	2016-12-01
会议名称	24th International Conference on Vibroengineering
会议录名称	Vibroengineering Procedia
卷号	10
页码	217-222
会议日期	December 7, 2016 - December 8, 2016
会议地点	Shanghai, China
出版者	JVE International
摘要	The distribution state evolution of concrete cracking evolution energy has been discussed in which with dissipative system characteristics is considered, and combined the theory of information entropy with energy method. The function of entropy evolution change for in different stage of crack stable and unstable propagations evolution is established. The element damage extent formula is deduced, which can be applied to judge the stage of crack. Finally, the cracking process of double span continuous beam is simulated by Midas/FEA to compare with other literature. The result shows that the strain energy entropy function proposed can is be capable of well describing the evolution law of concrete cracking evolution. © JVE INTERNATIONAL LTD. VIBROENGINEERING PROCEDIA.DEC 2016.
关键词	Crack propagation Cracks Strain energy Concrete cracking Continuous beams Cracking process Different stages Dissipative structural Dissipative systems Information entropy State evolutions
收录类别	EI
语种	英语
EI入藏号	20170503310643
EI主题词	Concretes
ISSN	23450533
来源库	Compendex
分类代码	412 Concrete - 931.1 Mechanics - 951 Materials Science
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/117480
专题	兰州理工大学土木工程学院
作者单位	1.Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province, Lanzhou University of Technology, Lanzhou, China; 2.Qingshui County Transportation Bureau, Tianshui, Gansu, China; 3.School of Civil Engineering, Lanzhou University of Technology, Lanzhou, Gansu, China
第一作者单位	甘肃省土木工程防灾减灾重点实验室
推荐引用方式 GB/T 7714	Xiang, Changsheng,Zhou, Yu,Zhao, Bin,et al. Research of concrete cracking propagation based on information entropy evolution[C]:JVE International,2016:217-222.