EGU26-6167, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-6167
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Friday, 08 May, 08:30–10:15 (CEST), Display time Friday, 08 May, 08:30–12:30
 
Hall X3, X3.47
Characteristics of Micro-Energy Signal for landslide
Cheng-Heng Xie1, Chia-Ming Lo2, and Yu-Cheng Wu3
Cheng-Heng Xie et al.
  • 1National Yang Ming Chiao Tung University (Hsinchu, Taiwan), Department of Civil Engineering, Geotechnical Engineering Division, Hsinchu, Taiwan (rips4103.en13@nycu.edu.tw)
  • 2National Yang Ming Chiao Tung University (Hsinchu, Taiwan), Department of Civil Engineering, Geotechnical Engineering Division, Hsinchu, Taiwan (cmloat0902@nycu.edu.tw)
  • 3National Yang Ming Chiao Tung University (Hsinchu, Taiwan), Department of Civil Engineering, Geotechnical Engineering Division, Hsinchu, Taiwan (teddywu110@gmail.com)

This study is based on the linear elastic behavior of particulate materials in PFC and aims to establish a physical model for micro-energy signals. A series of physical experiments, including compression tests, friction tests, and rebound tests, were conducted using embedded miniature earth pressure cells. Based on experimental results and parameter conversion, a comprehensive analysis and calculation of micro-energy signals were performed, including strain energy, damping energy, frictional energy, and kinetic energy. The calculated micro-energy signal components were then compared with the corresponding results obtained from PFC numerical simulations to calibrate the proposed physical model of micro-energy signals. The comparative analysis demonstrates that the developed micro-energy signal–based approach can effectively estimate the characteristic micro-energy signal features of sliding and non-sliding surfaces, and that the results satisfy the requirements for field-scale applications. Finally, the potential applicability of micro-energy signals for slope monitoring was evaluated, and a corresponding layout methodology for monitoring instrumentation was proposed.

How to cite: Xie, C.-H., Lo, C.-M., and Wu, Y.-C.: Characteristics of Micro-Energy Signal for landslide, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6167, https://doi.org/10.5194/egusphere-egu26-6167, 2026.