Affiliation:
1. China University of Mining and Technology-Beijing
Abstract
Abstract
In order to explore more effective methods of landslide disaster monitoring and controlling, NPR anchor cable and optical fiber grating strain sensor are physically combined to form a slope reinforcement-monitoring integration system, with PVC pipe an intermediary. Physical model test is carried out according to timely warning of landslide disasters of the Newtonian force monitoring system. At the same time, the optical fiber sensing technology has the condition of continuous perception of time and space. The feasibility of monitoring the whole life cycle of slope instability and positioning the potential sliding surface is discussed. Through the analysis of the test results, it is concluded that the fiber grating strain sensor can effectively monitor the deep displacement of the slope. PVC pipe and the soil have deformation coordination, which is able to effectively reinforce the slope body together with the combined anchor cable sensing device, and can continuously sense the potential sliding surface in the whole life cycle of the slope. By comparing the results of Newton force monitoring curve with the fiber grating strain monitoring, the mechanical law of “Newton force sudden drops, immediately catastrophe happens” is further verified. Finally, it is concluded that the combined sensing and early warning method of optical fiber sensing technology and Newton force monitoring can realize comprehensive monitoring and control of landslide disasters. This method realizes the further optimization of Newton force monitoring system.
Publisher
Research Square Platform LLC
Reference33 articles.
1. Large-scale landslides and their sliding mechanisms in China since the 20th century;Huang RQ;Chinese Journal of Rock Mechanics and Engineering,2007
2. Influence of rainfall characteristics on soil slope failure;Lin HZ;Chinese Journal of Rock Mechanics and Engineering,2009
3. Research on space-time evolution laws and early warning-prediction of landslides;Xu Q;Chinese Journal of Rock Mechanics and Engineering,2008
4. A DES-BDNN based probabilistic forecasting approach for step-like landslide displacement;Wang H;Journal of Cleaner Production,2023
5. Establishment of a deformation forecasting model for a step-like landslide based on decision tree C5.0 and two-step cluster algorithms: a case study in the Three Gorges Reservoir area, China;Ma JW;Landslides,2017