Theoretical Analysis of the Hollow Inclusion Cell Instrument for Measuring Three-Dimensional Rock Stresses

Kikuchi, Shinji; Sakuma, Shozo; Hirashima, Ken-ichi; Matsuda, Takeshi

doi:10.2208/jscej.1991.430_143

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…The data interpolation method, such as Kriging interpolation [ 32 ] should be used and a curved surface fitting method should be applied to establish geological model. The “aperture-deforming” method using the hollow inclusion cell instrument is adopted for the in-situ stress measurement [ 33 , 34 ] to obtain the three-dimension geo-stress at the measuring point that is based on the relationship between the pitch deformation and the geo-stress.…”

Section: Model and Methodologymentioning

confidence: 99%

Real-Time Safety Evaluation for Slope during Construction Using Numerical Forecast and Sensor Monitoring Platform

Zhang

Hou

Chao

et al. 2018

Sensors

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Geology uncertainties and real-time construction modification induce an increase of construction risk for large-scale slope in hydraulic engineering. However, the real-time evaluation of slope safety during construction is still an unsettled issue for mapping large-scale slope hazards. In this study, the real-time safety evaluation method is proposed coupling a construction progress with numerical analysis of slope safety. New revealed geological information, excavation progress adjustment, and the support structures modification are updating into the slope safety information model-by-model restructuring. A dynamic connection mapping method between the slope restructuring model and the computable numerical model is illustrated. The numerical model can be generated rapidly and automatically in database. A real-time slope safety evaluation system is developed and its establishing method, prominent features, and application results are briefly introduced in this paper. In our system, the interpretation of potential slope risk is conducted coupling dynamic numerical forecast and monitoring data feedback. The real case study results in a comprehensive real-time safety evaluation application for large slope that illustrates the change of environmental factor and construction state over time.

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Section: Model and Methodologymentioning

confidence: 99%