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Open AccessArticle

Stressing State Analysis of CFST Arch Supports in Deep Roadway Based on NSF Method

1
City College, Wuhan University of Science and Technology, Wuhan 430081, China
2
Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, China
3
Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150090, China
4
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
*
Author to whom correspondence should be addressed.
These authors equally contributed to this manuscript as co-first author.
Appl. Sci. 2019, 9(20), 4238; https://doi.org/10.3390/app9204238
Received: 17 September 2019 / Revised: 3 October 2019 / Accepted: 4 October 2019 / Published: 10 October 2019
This paper experimentally analyzes the working behavior characteristics of five concrete-filled steel tube (CFST) arch supports in deep roadway based on the numerical shape function (NSF) method and structural stressing state theory. First, the measured strain data are expanded by the NSF method and modeled as generalized strain energy density (GSED) to characterize the stressing state of the supports. Then, one of the supports is taken as an example and the Mann-Kendall (M-K) criterion is adopted to detect the mutation characteristics of the support, which derives the new definition of structural failure load. Correspondingly, the stressing state modes as well as strain and stress fields for the support are proposed to verify their mutation characteristics. Finally, the common and different characteristics of stressing state, damage development and internal forces for different supports are also summarized. The analytical results of the supports explore a new analysis method for underground structures and the unseen knowledge provides a reference to more rational future design. View Full-Text
Keywords: stressing state; mutation; numerical shape function; CFST arch support; characteristic load stressing state; mutation; numerical shape function; CFST arch support; characteristic load
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MDPI and ACS Style

Shen, J.; Huang, W.; Yang, X.; Shi, J.; Zheng, K. Stressing State Analysis of CFST Arch Supports in Deep Roadway Based on NSF Method. Appl. Sci. 2019, 9, 4238.

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