Size-Effects in Cavern-Model-Tests Based on 3D Printing (2023-04)¶
, , , Zhang Wengang, Liu Hanlong
Journal Article - Tunnelling and Underground Space Technology, Vol. 137, No. 105135
Abstract
Similar model test is one of the most commonly used methods for studying the stability of underground caverns. 3D printing can conveniently create similar models of different sizes and study the size effect on test results. This study uses rock-like materials to 3D print cavern models of various sizes. The size effects on the strength, failure mechanisms, energy storage in model and cavern deformation are explored by experimental tests and corroborated by numerical simulations that consider material heterogeneity. The consistent experimental and numerical results show that the overall strength of test models decreases with the increase of model size. When model caverns fail, the larger test model has a more violent damage. There is a linear relationship between the allowable maximum deformation of the cavern and the model size. Material heterogeneity is the main factor causing the above size effect of the test models, and the large fractures in the large models also play a substantial role. The test models of underground engineering based on 3D printing provide support for stability evaluation and design.
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BibTeX
@article{wang_ma_wang_zhan.2023.SEiCMTBo3P,
author = "Youyu Wang and Guowei Ma and Li Wang and Wengang Zhang and Hanlong Liu",
title = "Size-Effects in Cavern-Model-Tests Based on 3D Printing",
doi = "10.1016/j.tust.2023.105135",
year = "2023",
journal = "Tunnelling and Underground Space Technology",
volume = "137",
pages = "105135",
}
Formatted Citation
Y. Wang, G. Ma, L. Wang, W. Zhang and H. Liu, “Size-Effects in Cavern-Model-Tests Based on 3D Printing”, Tunnelling and Underground Space Technology, vol. 137, p. 105135, 2023, doi: 10.1016/j.tust.2023.105135.
Wang, Youyu, Guowei Ma, Li Wang, Wengang Zhang, and Hanlong Liu. “Size-Effects in Cavern-Model-Tests Based on 3D Printing”. Tunnelling and Underground Space Technology 137 (2023): 105135. https://doi.org/10.1016/j.tust.2023.105135.