Abstract
Currently, the dynamic behavior of high-speed long-runout landslides triggered by earthquakes remains unclear due to the complexity of such phenomena. Degradation in the shear strength of rock masses is considered a primary factor contributing to the high velocities and long runout distances of these landslides. In this study, the strength degradation induced by changes in rock joint morphology is analyzed considering a numerical model of the Donghekou landslide, by using discontinuous deformation analysis (DDA). First, an exponential joint roughness degradation function (i.e., JRCm) that depends on displacement is incorporated with the nonlinear Barton–Bandis (B–B) shear strength criterion, and this modified B–B criterion is combined with the DDA. Moreover, a virtual joint is introduced in the DDA to model the propagation of cracks in intact rock masses, in order to simulate the dynamic phenomenon of earthquake-induced landslides. Subsequently, this improved DDA (IDDA) is validated via simulations of a shear test and a sliding block over an inclined plane. Finally, the IDDA is employed to simulate the Donghekou landslide, which was induced by the 2008 Wenchuan earthquake in China. Furthermore, the entire dynamic process of the landslide, including crack propagation, instability, initiation, and motion, is depicted. The simulated deposit patterns obtained via the IDDA are in good agreement with the results of field investigations. The simulation results also prove that the IDDA can reflect key movement behaviors of Donghekou landslide and that the degradation of rock joints significantly influences the long runout distance and high velocity of sliding mass.
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Acknowledgements
The authors thank Dr. G. Shi for his significant contributions toward the development of DDA and his diligent work on DDA programing. The program used in this study is an extension of his original code, DDA2012. The authors wish to thank the editors and two anonymous reviewers for their time and effort in reviewing our article.
Funding
This study received financial support from the Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (2019QZKK0906); the National Natural Science Foundation of China (41672286, 41977213, 41761144080); the Science & Technology Department of Sichuan Province (20GJHZ0232), State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining & Technology (SKLGDUEK1806); Innovation-Driven Project of Central South University (2019CX011); and Ministry of Science and Technology of China (KY201801005). The financial support received from these organizations is gratefully acknowledged.
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Wang, J., Zhang, Y., Chen, Y. et al. Back-analysis of Donghekou landslide using improved DDA considering joint roughness degradation. Landslides 18, 1925–1935 (2021). https://doi.org/10.1007/s10346-020-01586-1
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DOI: https://doi.org/10.1007/s10346-020-01586-1