Skip to main content
Log in

Experimental study on multiple propagation characteristics of stress wave and surface displacement behavior in coal based on SHPB and DIC

  • Original Paper
  • Published:
Bulletin of Engineering Geology and the Environment Aims and scope Submit manuscript

Abstract

Understanding the damage evolution behavior of coal under stress wave can provide a theoretical basis for preventing rock burst. In this work, the impact experiments of coal samples were carried out by split Hopkinson pressure bar (SHPB); the stress wave propagation characteristics were recorded by dynamic strain acquisition instrument; the evolution behaviors of coal samples’ surface displacement were analyzed by digital image correlation (DIC); the correlation between stress wave and displacement were discussed based on the multi-fractal theory. The results proved the stress wave propagates in the non-linear attenuation mode of multiple incidences, reflection, and transmission. Among them, the attenuation velocity of the incident wave is the largest, followed by the reflected wave, and the transmitted wave is the smallest. The incident and reflected stress waves are mainly dominated by high amplitude signals, while the transmitted stress waves are mainly dominated by low amplitude signals. The horizontal displacement on the coal sample surface is changed in the form of variable velocity, acceleration, and direction during the process of the stress wave propagation. The impact velocity is favorably linked with the amplitudes and attenuation velocities of incident, reflected, and transmitted waves as well as the surface displacement, displacement velocity, and acceleration of coal samples. The multi-fractal characteristic parameters of stress wave and displacement show that the proportional relationship and difference between the large- and small-scale displacement are influenced by those between the high- and low-intensity signal of the stress wave, and the transmission wave can exert greater influence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

Download references

Acknowledgements

This project is supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX22_2659), the Graduate Innovation Program of China University of Mining and Technology (2022WLKXJ099), the National Science Foundation for Young Scientists of Jiangsu Province (BK20180644), and the National Natural Science Foundation of China (52004267,52104231).

Author information

Authors and Affiliations

Authors

Contributions

Xiaoliang Li: Methodology, Formal analysis, Visualization, Writing-Original draft preparation.

Enlai Zhao: Conceptualization, Resources, Funding acquisition.

Zhentang Liu: Funding acquisition, Project administration, Supervision.

Yubing Liu: Software, Validation.

Xiaojun Feng: Validation, Data Curation.

Zhoujie Gu: Investigation, Writing-Reviewing and Editing.

Corresponding author

Correspondence to Enlai Zhao.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Xiaoliang Li is the first author.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, X., Zhao, E., Liu, Z. et al. Experimental study on multiple propagation characteristics of stress wave and surface displacement behavior in coal based on SHPB and DIC. Bull Eng Geol Environ 82, 246 (2023). https://doi.org/10.1007/s10064-023-03272-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10064-023-03272-7

Keywords

Navigation