Abstract
Research on monitoring and forecasting technology for slope stability is important for ensuring railway operation. This paper presents field investigation of force and displacement within a strata slope using a real-time remote monitoring system. Based on the interactions of the landslide body, the landslide bed and the monitoring anchor of slope, the mechanical principle of relative movement between the landslide body and the landslide bed can be found. This paper puts forward stress data obtained from a monitoring anchor as the main criterion for landslide stability. The stress will change continually inside the slope mass before the occurrence of a landslide. When the sliding force is larger than the anti-sliding force, deformation and landslides will occur; thus, the change in stress occurs before the change in displacement. In this study, the internal stress, deep displacement and surface strain of a railway slope were measured by a real-time remote-monitoring system, and a vibration metre was installed on the surface of the railway slope to study the influence of the train vibration load on the stability of the slope. The monitoring results are synthetically analysed temporally and spatially, then a railway slope forecasting model is proposed. According to the railway slope field application, the forecasting model makes successful predictions.
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Acknowledgements
This work was partially supported by Project Mechanism of mega loess slope sliding and catastrophic effect on land reclamation project by gully-hill controlling supported by National Natural Science Foundation of China (Grant no. 41790443), the National Key R&D Program of China (Grant no. 2016YFC0802203), Guangxi Key Laboratory of Geomechanics and Geotechnical Engineering (Grant no. 15-KF-05), Zhejiang Collaborative Innovation Center for Prevention and Control of Mountain Geologic Hazards (Grant no. PCMGH-2017-Z-01) and the Xi’an Railway Fund (Grant no. 2016GG010).
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Xu, J., Li, H., Du, K. et al. Field investigation of force and displacement within a strata slope using a real-time remote monitoring system. Environ Earth Sci 77, 552 (2018). https://doi.org/10.1007/s12665-018-7729-3
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DOI: https://doi.org/10.1007/s12665-018-7729-3