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<p>A systematic evaluation of landslide movement characteristics and its disaster-causing intensity is considered of great significance for the quantitative assessment of landslide risk. Along these lines, in this work, the basic characteristics of the Niuti landslide in Ankang City, Shaanxi Province (occurred on September 6, 2021) were thoroughly investigated. The Particle Flow Code (PFC) method was employed to invert and calibrate the mesoscopic strength parameters of the landslide mass. Combining with the unmanned aerial vehicle (UAV) data, a high-precision Digital Elevation Model (DEM) of the landslide area was generated, and next, a three-dimensional numerical model of the Niuti landslide was reconstructed. Meanwhile, the Rigid Block (Rblock) module was utilized to build a brick-concrete structure model of the disaster-bearing body at the front edge. The movement, accumulation, and impact of the disaster-causing process of the landslide were simulated and analyzed. From our analysis, it was demonstrated that the Niuti landslide lasted for 75&#xa0;s (with a main sliding duration of 40&#xa0;s), reaching a peak velocity of approximately 5.4&#xa0;m/s after 13.5&#xa0;s of initiation, and finally deposited in a fan shape with an average displacement of 108&#xa0;m. The landslide affected the brick-concrete buildings and roads 15&#xa0;s after its initiation, gradually increasing the damage until complete burial, with a maximum scattered distance of 10.7&#xa0;m. As the movement velocity decreased, the local average contact force of the landslide showed a decreasing trend. However, the total contact force increased, resulting in an overall impact force of up to 9.0 × 10<sup>7</sup> N. Our research findings are generally consistent with the actual interpretation of the landslide movement process and the current deposition status, and the relevant research methods provide a reliable reference for the quantitative landslide risk assessment.</p>

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Numerical simulation of landslide movement and impact disaster intensity on brick-concrete buildings: a case from Niuti landslide in Shaanxi, China

  • 期刊论文

  • 发表日期：

    2025年3月15日

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  • Xing Chen,
  • Jiangbo Wei,
  • Zhou Zhao,
  • Xiaohao Wang,
  • Zijun Ren,
  • Chong Xu

摘要

A systematic evaluation of landslide movement characteristics and its disaster-causing intensity is considered of great significance for the quantitative assessment of landslide risk. Along these lines, in this work, the basic characteristics of the Niuti landslide in Ankang City, Shaanxi Province (occurred on September 6, 2021) were thoroughly investigated. The Particle Flow Code (PFC) method was employed to invert and calibrate the mesoscopic strength parameters of the landslide mass. Combining with the unmanned aerial vehicle (UAV) data, a high-precision Digital Elevation Model (DEM) of the landslide area was generated, and next, a three-dimensional numerical model of the Niuti landslide was reconstructed. Meanwhile, the Rigid Block (Rblock) module was utilized to build a brick-concrete structure model of the disaster-bearing body at the front edge. The movement, accumulation, and impact of the disaster-causing process of the landslide were simulated and analyzed. From our analysis, it was demonstrated that the Niuti landslide lasted for 75 s (with a main sliding duration of 40 s), reaching a peak velocity of approximately 5.4 m/s after 13.5 s of initiation, and finally deposited in a fan shape with an average displacement of 108 m. The landslide affected the brick-concrete buildings and roads 15 s after its initiation, gradually increasing the damage until complete burial, with a maximum scattered distance of 10.7 m. As the movement velocity decreased, the local average contact force of the landslide showed a decreasing trend. However, the total contact force increased, resulting in an overall impact force of up to 9.0 × 107 N. Our research findings are generally consistent with the actual interpretation of the landslide movement process and the current deposition status, and the relevant research methods provide a reliable reference for the quantitative landslide risk assessment.