Fluctuations of on-site data as a recorder of seismotectonic activity of rock masses surrounding a concrete dam

1993 ◽  
Vol 27 (7) ◽  
pp. 387-390 ◽  
Author(s):  
V. N. Durcheva ◽  
I. I. Zagryadskii
Keyword(s):  
Rock Masses ◽  
Concrete Dam ◽  
Seismotectonic Activity

Biological studies on a concrete dam

10.1617/13659 ◽  
2001 ◽  
Vol 34 (242) ◽  
pp. 502-505
Author(s):  
L. P. Traversa
Keyword(s):  
Concrete Dam ◽  
Biological Studies

scholarly journals Ensemble of bagged regression trees for concrete dam deformation predicting

2019 ◽  
Vol 376 ◽  
pp. 012040 ◽  
Author(s):  
Jiemin Xie ◽  
Jun Zhang ◽  
Xuan Xie ◽  
Zhiwei Bi ◽  
Zhuoheng Li
Keyword(s):  
Regression Trees ◽  
Concrete Dam ◽  
Dam Deformation

scholarly journals 3D Thermal Monitoring of Jointed Rock Masses through Infrared Thermography and Photogrammetry

2021 ◽  
Vol 13 (5) ◽  
pp. 957
Author(s):  
Guglielmo Grechi ◽  
Matteo Fiorucci ◽  
Gian Marco Marmoni ◽  
Salvatore Martino
Keyword(s):  
Surface Temperature ◽  
Infrared Thermography ◽  
Point Cloud ◽  
Engineering Geology ◽  
Point Clouds ◽  
Jointed Rock ◽  
Geometric Accuracy ◽  
Rock Masses ◽  
Natural Systems ◽  
Temperature Distributions

The study of strain effects in thermally-forced rock masses has gathered growing interest from engineering geology researchers in the last decade. In this framework, digital photogrammetry and infrared thermography have become two of the most exploited remote surveying techniques in engineering geology applications because they can provide useful information concerning geomechanical and thermal conditions of these complex natural systems where the mechanical role of joints cannot be neglected. In this paper, a methodology is proposed for generating point clouds of rock masses prone to failure, combining the high geometric accuracy of RGB optical images and the thermal information derived by infrared thermography surveys. Multiple 3D thermal point clouds and a high-resolution RGB point cloud were separately generated and co-registered by acquiring thermograms at different times of the day and in different seasons using commercial software for Structure from Motion and point cloud analysis. Temperature attributes of thermal point clouds were merged with the reference high-resolution optical point cloud to obtain a composite 3D model storing accurate geometric information and multitemporal surface temperature distributions. The quality of merged point clouds was evaluated by comparing temperature distributions derived by 2D thermograms and 3D thermal models, with a view to estimating their accuracy in describing surface thermal fields. Moreover, a preliminary attempt was made to test the feasibility of this approach in investigating the thermal behavior of complex natural systems such as jointed rock masses by analyzing the spatial distribution and temporal evolution of surface temperature ranges under different climatic conditions. The obtained results show that despite the low resolution of the IR sensor, the geometric accuracy and the correspondence between 2D and 3D temperature measurements are high enough to consider 3D thermal point clouds suitable to describe surface temperature distributions and adequate for monitoring purposes of jointed rock mass.

Simulation of thermal stress and control measures for rock-filled concrete dam in high-altitude and cold regions

2021 ◽  
Vol 230 ◽  
pp. 111721
Author(s):  
Yuxiang Zhang ◽  
Jianwen Pan ◽  
Xinjian Sun ◽  
Jijun Feng ◽  
Dengqiang Sheng ◽  
...  
Keyword(s):  
Thermal Stress ◽  
High Altitude ◽  
Control Measures ◽  
Concrete Dam ◽  
Cold Regions ◽  
And Control

Failure behaviors of rock masses around highly pressurized cavern: Initiation and modes of failure

2021 ◽  
Vol 115 ◽  
pp. 104058
Author(s):  
Apiwish Thongraksa ◽  
Yodphao Punya-in ◽  
Pornkasem Jongpradist ◽  
Hyung-Mok Kim ◽  
Pitthaya Jamsawang
Keyword(s):  
Rock Masses ◽  
Modes Of Failure
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