Geotechnical and Geological Engineering

, Volume 37, Issue 1, pp 283–294 | Cite as

A Numerical Approach Considering Mining-Induced Fracture Weakening and Goaf Compaction on Surface Subsidence

  • Liyuan Weng
  • Hengxuan Luan
  • Yuanzhong Luan
Original Paper


The precise prediction of surface subsidence under mining influence is significant for ecological environment and personal safety. This paper presents a numerical approach for surface subsidence analysis based on a case study conducted at Gucheng mine, China. Considering the rock mechanical characteristics of fractured zone and caved zone, the tension-weakening model and the double-yield model with back-analyzed properties are implemented into FLAC3D to simulate the mining-induced fracture weakening and the goaf compaction process, respectively. The reasonable goaf material and the relationship between the intensity of fractures and the residual stiffness of rock mass are built in the numerical model. An analysis of tension-weakening and double-yield models is carried out and the simulated results are compared to strain-softening model. It is shown that the combination of tension-weakening and double-yield models provides a more realistic simulation of surface subsidence than strain-softening model. The numerical approach can be utilized for control and prediction of surface subsidence under similar geotechnical conditions.


Numerical simulation Surface subsidence Mining-induced fracture weakening Goaf compaction Overlying strata 



The research of this study was sponsored by the Key Research and Development Plan of Shandong Province (2017GSF220010), State Key Laboratory for GeoMechanics and Deep Underground Engineering (SKLGDUEK1725). The authors would like to thank the editor and reviewers for their contributions on the paper.

Compliance with Ethical Standards

Conflict of interest

The authors declare that there is no conflict of interest regarding the publication of this paper.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of GeomaticsShandong University of Science and TechnologyQingdaoChina
  2. 2.College of Mechanical and Electronic EngineeringShandong University of Science and TechnologyTaianChina

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