Rock slope classification for the optimal design of monitoring networks

Abstract. In areas located near large rock cliffs, risk reduction by early warning monitoring systems highligts potentiality but also critical issues and limits. The paper examines two rock slope failures that occurred in a short time from each other near inhabited areas in the Italian Alps. The viscous behavior of the rock mass was reconstructed through data processing from ground-based Synthetic Aperture Radar Interferometry (InSAR), and elaboration of acceleration and speed curves. Landslides types and underlying complexity associated with rock detachment mechanisms suggest the identification of precautionary alarm thresholds for collapse forecasting. The analysis of financial outlay, both for mitigation works and for monitoring activities, highlight the adequacy and the opportunity to combine passive systems, like embankments or rockfall drapery meshes, with a reliable monitoring network for early warning.

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Optimal Design of Microseismic Monitoring Networking and Error Analysis of Seismic Source Location for Rock Slope

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.163-167.2991 ◽

2010 ◽

Vol 163-167 ◽

pp. 2991-2999 ◽

Cited By ~ 4

Author(s):

Nu Wen Xu ◽

Chu Nan Tang ◽

Si Hao Wu ◽

Gui Lin Li ◽

Ju Ying Yang

Keyword(s):

Optimal Design ◽

Monitoring System ◽

Sensor Array ◽

Rock Slope ◽

Monitoring Network ◽

Source Location ◽

Rock Fracturing ◽

Positioning Accuracy ◽

Microseismic Events ◽

The Right

For the purpose of getting a better understanding of failure mechanisms of rock fracturing due to construction perturbation inside the right rock slope of Dagangshan Hydropower Staion, a high precision microseimic monitoring system was installed and preliminary source location data have been investigated. The optimal design of microseimic monitoring network, especially the sensor array was investigated based on P method and Powell algorithm. The positioning accuracy of the system has been adjusted according to artificial fixed blasting tests. The testing results show that microseismic source location error is less than 10 m in the scope of the sensor array, which demonstrates the monitoring system deployed at the right slope has a high positioning accuracy. Signals from 112 microseismic events with moment magnitude ranging from -1.8 to -0.4 were recorded during its 2-month monitoring period. The cluster distribution of microseismic events can reflect directly the construction progresses such as the concentration of microseismicity inside the drainage tunnel at 1081 m level. The present study have significantly improved the understanding of the characteristics of the failure associated with excavation inside the rock slope, and will greatly benefit the potential sliding areas prediction and support of hazards in the phase of construction in future.

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Stochastic search algorithms for optimal design of monitoring networks

Environmetrics ◽

10.1002/env.989 ◽

2009 ◽

pp. n/a-n/a ◽

Cited By ~ 2

Author(s):

Ramiro Ruiz-Cárdenas ◽

Marco A. R. Ferreira ◽

Alexandra M. Schmidt

Keyword(s):

Optimal Design ◽

Search Algorithms ◽

Stochastic Search ◽

Monitoring Networks

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Optimization of deformation monitoring networks using finite element strain analysis

Journal of Applied Geodesy ◽

10.1515/jag-2017-0040 ◽

2018 ◽

Vol 12 (2) ◽

pp. 187-197 ◽

Cited By ~ 3

Author(s):

M. Amin Alizadeh-Khameneh ◽

Mehdi Eshagh ◽

Anna B. O. Jensen

Keyword(s):

Optimal Design ◽

Active Faults ◽

Three Dimensional ◽

Strain Analysis ◽

Geodetic Network ◽

Monitoring Network ◽

Deformation Monitoring ◽

Monitoring Networks ◽

Deformation Parameters

Abstract An optimal design of a geodetic network can fulfill the requested precision and reliability of the network, and decrease the expenses of its execution by removing unnecessary observations. The role of an optimal design is highlighted in deformation monitoring network due to the repeatability of these networks. The core design problem is how to define precision and reliability criteria. This paper proposes a solution, where the precision criterion is defined based on the precision of deformation parameters, i. e. precision of strain and differential rotations. A strain analysis can be performed to obtain some information about the possible deformation of a deformable object. In this study, we split an area into a number of three-dimensional finite elements with the help of the Delaunay triangulation and performed the strain analysis on each element. According to the obtained precision of deformation parameters in each element, the precision criterion of displacement detection at each network point is then determined. The developed criterion is implemented to optimize the observations from the Global Positioning System (GPS) in Skåne monitoring network in Sweden. The network was established in 1989 and straddled the Tornquist zone, which is one of the most active faults in southern Sweden. The numerical results show that 17 out of all 21 possible GPS baseline observations are sufficient to detect minimum 3 mm displacement at each network point.

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