Strength of volcanic rock masses in edifice instability

2007 ◽  
pp. 175-183 ◽  
Author(s):  
R del Potro ◽  
M Hürlimann
Author(s):  
Marlène C. Villeneuve

AbstractVolcanic rock masses exhibit temporal and spatial variability, even at the scale and duration of engineering projects. Volcanic processes are dynamic, resulting in rock masses ranging from high-porosity, clay-rich, fractured, and soil-like to low-porosity, high-strength, brittle, and massive. Based on a number of studies in a variety of geological settings, such as active and fossil geothermal systems, on the surface of active volcanoes and up to 3000 m below the surface, the work presented in this article shows the relationship between geological characteristics and mechanical parameters of volcanic rocks. These are then linked to the resultant challenges to tunnelling associated with the mechanical behaviour of volcanic rocks and rock masses, ranging from ductile failure such as squeezing and swelling to dynamic failure such as spalling and rockburst.This article highlights some of the key parameters that should be incorporated in site and laboratory investigations to build representative ground models in volcanic rocks and rock masses. Rock mass characterisation needs to address the highly variable and anisotropic nature of volcanic rocks, ranging from millimetre to decametre scale. Ground models must include not only the mechanical properties, such as strength and stiffness, of typical lab investigations, but also petrophysical properties, such as porosity, and geological conditions, such as alteration. Geomechanical characterisation of these rock masses requires an understanding of geological processes to select appropriate field, lab and design tools. In volcanic rocks, perhaps more than any other rock types, the geology is critical to characterising and understanding the behaviour in response to tunnelling.


2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Noorhadi Rahardjo

There are three objectives of this research. First, to map springs location, second to know spring characteristic and third to calculat springs potency for domestic use. To reach these aims, springs location were plotted on map base on its coordinate. Springs characteristic were analysed descriptively by spatial analysis base on geologic, geomorphologic and hydrogeologic conditions. Springs potency were calculated base on its discharge, whereas domestic use was determined 60 l/person/day for rural and 120 l/person/day for urban area. The study shows, that springs distribution in Bali Island are not homogeny Springs appearance were controlled by geologic structure as fault and rock contact. The differences of discharge also depend on the structure. Contact between volcanic rock (tuff and lahar) from Buyan-Bratan-Batur Formations with another rock formation in its surrounding result many springs appereance with high discharge. Beside that, orohydrology properties of Agung Mount as strato volcanic result springs belt in a certain elevation and each slope changing. Base on calculation, springs potency in Bali Island are 628.800 m3/month,whereas the domestic use is 9.079.990 m3/month. So, the springs potency is just 6,9% from domestic use in Bali Island.Key words : springs potency, springs distribution, springs characteristic


2019 ◽  
Author(s):  
Rachel Capps ◽  
◽  
Scott Brame ◽  
Audrey Crafton

2021 ◽  
Vol 13 (5) ◽  
pp. 957
Author(s):  
Guglielmo Grechi ◽  
Matteo Fiorucci ◽  
Gian Marco Marmoni ◽  
Salvatore Martino

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.


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

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