Investigation on Single Tube CFST Arch Models by Modeling Structural Stressing State Based on NSF Method
This paper investigated the behavioral characteristics of two single tube concrete-filled steel tube (CFST) arch models under different loads. Applying the numerical shape function (NSF) method, the limited strain data of arch models were interpolated to obtain more detailed strain information at un...
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MDPI AG
2019-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/9/23/5006 |
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| author | Kangkang Yang Wei Wang Jun Shi Guorui Sun Kaikai Zheng Mingyue Zhang |
| author_facet | Kangkang Yang Wei Wang Jun Shi Guorui Sun Kaikai Zheng Mingyue Zhang |
| author_sort | Kangkang Yang |
| collection | DOAJ |
| description | This paper investigated the behavioral characteristics of two single tube concrete-filled steel tube (CFST) arch models under different loads. Applying the numerical shape function (NSF) method, the limited strain data of arch models were interpolated to obtain more detailed strain information at unmeasured points. By numerically modeling and characterizing the structural stressing state of arches, these interpolated strains were calculated as the normalized strain energy density (SED) sum to plot the corresponding characteristic curves. Utilizing the Mann-Kendall (M-K) criterion, the qualitative characteristic load was detected from the curve and was referred to as the failure load, updating the existing definition of structural failure. Then, from the perspective of experimental strains, strain/stress fields, and stressing state submodes of internal forces obtained based on the NSF method, the working behavioral characteristics of each respective CFST arch model under loads were embodied in detail. The mutation features were distinguished from the development trend of strain/stress fields or distribution patterns of internal forces to verify the rationality of the updated failure load. Consequently, the NSF method can have a reasonable interpolation on the limited experimental data. By modeling structural stressing state, it can conduct an accurate estimation of the structural failure load and provide a reference for the future design of arch bridges. |
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| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-22T03:07:33Z |
| publishDate | 2019-11-01 |
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| spelling | doaj.art-5f01f752a5e14aa39516ecca368b39e02022-12-21T18:41:01ZengMDPI AGApplied Sciences2076-34172019-11-01923500610.3390/app9235006app9235006Investigation on Single Tube CFST Arch Models by Modeling Structural Stressing State Based on NSF MethodKangkang Yang0Wei Wang1Jun Shi2Guorui Sun3Kaikai Zheng4Mingyue Zhang5Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, ChinaAcademy of Combat Support, Rocket Force University of Engineering, Xi’an 710025, ChinaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaKey Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, ChinaKey Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, ChinaKey Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, ChinaThis paper investigated the behavioral characteristics of two single tube concrete-filled steel tube (CFST) arch models under different loads. Applying the numerical shape function (NSF) method, the limited strain data of arch models were interpolated to obtain more detailed strain information at unmeasured points. By numerically modeling and characterizing the structural stressing state of arches, these interpolated strains were calculated as the normalized strain energy density (SED) sum to plot the corresponding characteristic curves. Utilizing the Mann-Kendall (M-K) criterion, the qualitative characteristic load was detected from the curve and was referred to as the failure load, updating the existing definition of structural failure. Then, from the perspective of experimental strains, strain/stress fields, and stressing state submodes of internal forces obtained based on the NSF method, the working behavioral characteristics of each respective CFST arch model under loads were embodied in detail. The mutation features were distinguished from the development trend of strain/stress fields or distribution patterns of internal forces to verify the rationality of the updated failure load. Consequently, the NSF method can have a reasonable interpolation on the limited experimental data. By modeling structural stressing state, it can conduct an accurate estimation of the structural failure load and provide a reference for the future design of arch bridges.https://www.mdpi.com/2076-3417/9/23/5006numerical shape functionstructural stressing statemutationfailure loadcfst arch |
| spellingShingle | Kangkang Yang Wei Wang Jun Shi Guorui Sun Kaikai Zheng Mingyue Zhang Investigation on Single Tube CFST Arch Models by Modeling Structural Stressing State Based on NSF Method Applied Sciences numerical shape function structural stressing state mutation failure load cfst arch |
| title | Investigation on Single Tube CFST Arch Models by Modeling Structural Stressing State Based on NSF Method |
| title_full | Investigation on Single Tube CFST Arch Models by Modeling Structural Stressing State Based on NSF Method |
| title_fullStr | Investigation on Single Tube CFST Arch Models by Modeling Structural Stressing State Based on NSF Method |
| title_full_unstemmed | Investigation on Single Tube CFST Arch Models by Modeling Structural Stressing State Based on NSF Method |
| title_short | Investigation on Single Tube CFST Arch Models by Modeling Structural Stressing State Based on NSF Method |
| title_sort | investigation on single tube cfst arch models by modeling structural stressing state based on nsf method |
| topic | numerical shape function structural stressing state mutation failure load cfst arch |
| url | https://www.mdpi.com/2076-3417/9/23/5006 |
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