Multi-source monitoring data helps revealing and quantifying the excavation-induced deterioration of rock mass

• Published in: Engineering geology 2023-11, Vol.325, p.107281, Article 107281
• Main Authors: Ding, Qianru, Guo, Chengqian, Fan, Xiong'an, Liu, Xinghua, Gong, Xuncong, Zhou, Wei, Ma, Gang
• Format: Article
• Language: English
• Subjects: algorithms; deformation; disaster preparedness; Excavation-induced deterioration; InSAR; interferometry; landslides; Multi-source monitoring data; Parameter estimation; rain; Rock slopes; synthetic aperture radar; topology; vegetation; water power; wet season
• ISSN: 0013-7952; 1872-6917
• DOI: 10.1016/j.enggeo.2023.107281

There exist many high-steep rock slopes in Southwest China due to the construction of large-scale hydropower projects. The study on excavation-induced damage of high rock slopes is vital for disaster prevention and mitigation. Due to the complexity of high-steep rock slopes, assessing the excavation-induced deterioration of rock mass is often challenging. This study used the space-borne Interferometric synthetic aperture radar (InSAR) and multipoint displacement meters to monitor the slope displacements before and after the excavation. Based on the multi-source monitoring data and the parameter estimation method, we evaluated the changes in rock mass properties due to slope excavation. We employed an improved particle swarm optimization algorithm with dynamic topology and adaptive parameter adjustment and a neural network-based surrogate model in the parameter estimation. The degradation of rock mass strength and stiffness coincides with the increased sensitivity of slope deformation to rainfall infiltration. An in-depth analysis indicates that the absence of vegetation protection and excavation-induced deterioration of rock masses are responsible for the noticeable slope deformation during the rainy season. As slope excavation profoundly influences slope stability and deformation, we should pay closer attention to the excavation way and support style. This study also demonstrates the benefits of using multi-source monitoring data in slope deformation analysis. The findings can aid in comprehending the deformation evolution and instability mechanisms of rock slopes excavated at the hydropower sites, thereby contributing to the prevention and mitigation of landslide disasters. •Detecting deformation of the Batang slope before and after excavation using SBAS-InSAR and multipoint displacement meters.•A parameter estimation method is proposed to quantify the excavation-induced deterioration of rock mass.•Deformation mechanism of excavated rock slope at different stages is discussed.