Abstract
By carrying out the cyclic dynamic compressive experiment, the dynamic compressive properties of heat-treated and pre-stressed cement mortar subjected to cyclic impact loading were obtained. The results show that under static and cyclic impact loading, the peak stress shows a nonlinear decrease trend with the increasing dynamic impact number, and the failure strength decreases as heated temperature increases. The strain rate shows a linear increase trend as impact number increases. The relationship among the strain rate, temperature and impact number obey exponential relations, which could be expressed as ε˙ = 0.64E0.00854T+4.93 X 10−3tn+0.77N+18.70. The strain rate increase factor could be calculated by temperature by ω = 1.04+3.37 X 10−2e0.00849T. The impact number almost decreases linearly with the increasing temperature. The peak strain exhibits an increasing trend with an increase in impact number and temperature. The specimens are destroyed at a damage value of around 0.68 To 0.74. When the heated temperature increases, the failure size of pieces of specimen decreases accordingly. The fragmentation rate follows exponential function with temperature, which could be calculated by η = 0.325 + 5.55 X 10−5e0.0314T. The total reflected energy increases, and total transmitted energy, absorbed energy and accumulated absorbed energy per volume decrease as temperature and impact number increase.
Recommended Citation
R. Shu et al., "Dynamic Compressive Properties of Heat-Treated and Pre-Stressed Cement Mortar Specimen Subjected to Cyclic Impact Loading," Case Studies in Thermal Engineering, vol. 57, article no. 104362, Elsevier, May 2024.
The definitive version is available at https://doi.org/10.1016/j.csite.2024.104362
Department(s)
Mining Engineering
Publication Status
Open Access
Keywords and Phrases
Cement mortar; Cyclic impact loading; Dynamic properties; Energy dissipation; High-temperature
International Standard Serial Number (ISSN)
2214-157X
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 May 2024
Comments
Jiangxi University of Science and Technology, Grant 205200100551