Digital twin model of high-arch dams driven by microseismic damage and its application
MA Ke1, 2, TANG Yusheng1, GAO Zhiliang1, 3, KE Hu1, 3
(1. School of Infrastructure Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China；
2. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China；
3. Guodian Dadu River Basin Hydropower Development Co., Ltd., Chengdu, Sichuan 610041, China)
Abstract：To validate the integration of microseismic (MS) monitoring and digital twin (DT) technology in the safety monitoring of high-arch dams, this study proposes a dynamic DT approach driven by MS damage data. First, a data-driven DT system framework was established for modeling MS damage in high-arch dams. A method for constructing the twin model and an adaptive meshing reconstruction technique were introduced. An MS event model was developed using key spatiotemporal and intensity parameters, with model rendering achieved through interpolation algorithms and vertex coloring techniques. A rock mass degradation model was incorporated to dynamically adjust mechanical parameters by accounting for cumulative MS damage. Additionally, a feedback correction mechanism was established to update parameters in real time based on the locations of MS events and their energy release. A dynamic DT simulation method that integrates a development engine, numerical software, and database systems was implemented. This proposed method was applied to a case study of the Dagangshan high-arch dam. During a simulated rise in reservoir water levels from 1 120 m to 1 128 m, the stress concentration zones identified by the model—including the dam heel, the upstream dam face at elevations of 940 to 1 030 m, the downstream dam face at 979 to 1 081 m (both wings and the crown), the downstream arch ends, and the dam toe—demonstrated a high spatial correlation with actual MS activity. The average matching rate reached 92%, with some days achieving 100%. These results confirm the accuracy and effectiveness of the proposed MS data-driven DT simulation method, providing a new technical pathway for the digital construction and intelligent safety monitoring of high-arch dams.
马 克1，2，唐雨生1，高志良1，3，柯 虎1，3. 微震损伤驱动的高拱坝数字孪生模型及其应用[J]. 岩石力学与工程学报, 2025, 44(10): 2565-2579.
MA Ke1, 2, TANG Yusheng1, GAO Zhiliang1, 3, KE Hu1, 3. Digital twin model of high-arch dams driven by microseismic damage and its application. , 2025, 44(10): 2565-2579.
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2025, Vol. 44 
