journal article·2019-07

A study of test and statistical damage constitutive model of multi-size polypropylene fiber concrete under impact load

Xin Yang, Ninghui Liang, Xinrong Liu, Zuliang Zhong

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Abstract

To investigate the effects of mixing polypropylene fiber of different sizes and the effect of fiber size on the impact characteristics of concrete, two sizes of polypropylene fine fiber and one size of polypropylene coarse fiber were selected to design and fabricate nine groups of polypropylene fiber-reinforced concrete test specimens by controlling the fiber mixing ratio and conducting a split Hopkinson pressure bar test to obtain the stress–strain curves of the test specimens in various groups, and their parameters such as the elasticity modulus, peak strength, and peak strain. The incorporation of fiber improved the pre-peak impact properties of concrete to different extents. Strain hardening did not occur in the post-peak curves, and different types of fibers exhibited different characteristics. Thus, the fine fiber could significantly improve the peak strain, while the coarse fiber could more significantly improve the elasticity modulus and peak strength. The improving effects exerted by incorporating three types of fiber were better than those exerted by incorporating two types of fiber. Moreover, the statistical damage model was used to obtain the parameters by fitting and analyzing their variation rules based on the statistical damage constitutive model and the particle swarm optimization algorithm.
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Research context

OpenAlex topics: Innovative concrete reinforcement materials · Structural Behavior of Reinforced Concrete · Structural Response to Dynamic Loads

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Civil Engineering, Fujian University of Technology, Fuzhou, China

Key Laboratory of Underground Engineering, Fujian Province University, Fuzhou, China

Institute of Geotechnical Engineering, Fujian University of Technology, Fuzhou, China

School of Civil Engineering, Chongqing University, Chongqing, China

Key Laboratory of New Technology for Construction of Cities in Mountain Area (Chongqing University), Ministry of Education, Chongqing, China

Funding

the Research and Development Fund of Fujian University of Technology · the National Natural Science Foundation of China · the Chongqing basic and frontier research project

References (22)

Show source-provided references
1. Bindiganavile V · ACI Materials Journal · 2002 · 99 · 543
2. 10.1016/j.conbuildmat.2016.08.06810.1016/j.conbuildmat.2016.08.068 ↗
3. 10.1016/j.cemconcomp.2013.12.00610.1016/j.cemconcomp.2013.12.006 ↗
4. 10.1177/105678951772161610.1177/1056789517721616 ↗
5. 10.15446/esrj.v19n1.4099510.15446/esrj.v19n1.40995 ↗
6. Kennedy J and Eberhart R (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks IV , Perth, Australia, 27 November–1 December 1995.10.1109/ICNN.1995.488968 ↗
7. 10.1016/0020-7683(82)90039-710.1016/0020-7683(82)90039-7 ↗
8. Li XB · Chinese Journal of Rock Mechanics and Engineering · 2012 · 31 · 2464
9. 10.1177/073168441559205910.1177/0731684415592059 ↗
10. Liu XR · Advances in Materials Science and Engineering · 2015 · 2015 · 1
11. 10.1061/(ASCE)MT.1943-5533.000185110.1061/(ASCE)MT.1943-5533.0001851 ↗
12. 10.1016/j.ijimpeng.2012.01.00910.1016/j.ijimpeng.2012.01.009 ↗
13. 10.1016/j.conbuildmat.2009.11.02510.1016/j.conbuildmat.2009.11.025 ↗
14. 10.1177/105678951667388710.1177/1056789516673887 ↗
15. 10.12989/cac.2014.13.2.25510.12989/cac.2014.13.2.255 ↗
16. 10.1016/j.conbuildmat.2015.01.00310.1016/j.conbuildmat.2015.01.003 ↗
17. 10.1016/j.matdes.2013.09.04810.1016/j.matdes.2013.09.048 ↗
18. 10.1016/j.ijimpeng.2016.08.00810.1016/j.ijimpeng.2016.08.008 ↗
19. 10.1617/s11527-015-0685-410.1617/s11527-015-0685-4 ↗
20. 10.1134/S106183091007009010.1134/S1061830910070090 ↗
21. 10.1177/105678951561255910.1177/1056789515612559 ↗
22. 10.1080/19648189.2013.83460110.1080/19648189.2013.834601 ↗