Rock Mass Characteristics and Tomographic Data
نویسندگان
چکیده
منابع مشابه
evaluation of rock mass deformability
One of the most important effective parameters in design of engineering structures is deformability of rock mass. Benchmark of rock mass deformability is the deformation modulus that directly or indirectly obtained. Since the determination of rock mass deformation modulus indirect method by in-situ tests is time-consuming, costly and difficult from executive operations aspect, so it’s correctly...
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Original scientific paper To analyse the influence of joint angle, number and spacing on the strength and acoustic emission (AE) characteristics of rock mass, the uniaxial compression model of rock specimens was established using the micro particle flow PFC2D software platform. The intact rock parameters were determined via trial and error, joints with different angles, numbers and spacing were...
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Understanding and estimating the rock stress state has become increasingly important as nowadays numerical models are mainly used as rock engineering design tool. The objective in determining rock stresses may, in many cases, be seen as an interactive process. The type of data needed may change, depending on at what stage an underground project is in. Further more, preliminary measurements may ...
متن کاملRock mass structural data analysis using image processing techniques (Case study: Choghart iron ore mine northern slopes)
Presence of joints and fractures in rocks strongly influences the behavior of the rock mass by dividing the media into smaller units. These structures intensify the potential instability besides the development of sliding and rotational movements. The assumption of discontinuum media changes the whole analysis conditions in relation to the continuum analysis. Acquisition of geometrical and stru...
متن کاملMultivariate Estimation of Rock Mass Characteristics Respect to Depth Using ANFIS Based Subtractive Clustering- Khorramabad- Polezal Freeway Tunnels
Combination of Adoptive Network based Fuzzy Inference System (ANFIS) and subtractive clustering (SC) has been used for estimation of deformation modulus (Em) and rock mass strength (UCSm) considering depth of measurement. To do this, learning of the ANFIS based subtractive clustering (ANFISBSC) was performed firstly on 125 measurements of 9 variables such as rock mass strength (UCSm), deformati...
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ژورنال
عنوان ژورنال: Rock Mechanics and Rock Engineering
سال: 2018
ISSN: 0723-2632,1434-453X
DOI: 10.1007/s00603-018-1428-y