Due to existence of uncertainties in input geometrical properties of fractures, there is not any unique solution for assessing the stability of slopes in jointed rock masses. Therefore, the necessity of applying probabilistic analysis in these cases is inevitable. In this study a probabilistic analysis procedure together with relevant algorithms are developed using Discrete Fracture Network-Dis...

This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in design of fault diagnosis system. PNN as main part of thi...

Network security is very important when sending confidential data through the network. Cryptography is the science of hiding information, and a combination of cryptography solutions with cognitive science starts a new branch called cognitive cryptography that guarantee the confidentiality and integrity of the data. Brain signals as a biometric indicator can convert to a binary code which can be...

Hydraulic stimulation in Enhanced Geothermal Systems is performed by injecting water at high pressure into low permeability, typically crystalline, rock. In most cases, the elevated pore pressure induces slip on preexisting fractures, resulting in an increase in permeability. This process involves interacting hydraulic, thermal, mechanical, and thermoelastic processes. It is complicated by the ...

Fine-scale discrete fracture simulations provide a natural means to quantify the matrix-fracture fluxes and specify reference solutions for upscaling approaches such as dual porosity/dual permeability models. Since typically fine-scale are computationally demanding, fractured reservoirs highly heterogeneous, it is desirable parametrize geometry obtain coarse-scale model closures using precomput...

This article examines the required spatial discretization perpendicular to the fracture-matrix interface (FMI) for numerical simulation of solute transport in discretely fractured porous media. The discrete-fracture, finite-element model HydroGeoSphere (Therrien et al. 2005) and a discrete-fracture implementation of MT3DMS (Zheng 1990) were used to model solute transport in a single fracture, a...

In this paper, a data-driven model based on the Non-smooth Discrete Element Method (NDEM) and Artificial Neural Network (ANN) is proposed for computation of ice-breaking resistance structure. The idea so-called “meta-modelling”, which means establishing an pre-computed ice failure database to avoid time-consuming direct resolving fracture process, was integrated in non-smooth discrete element m...

This paper presents an innovative method to simulate fluid flow in fractured geothermal reservoirs. The geothermal reservoirs are considered at their full complexity, with variably oriented and intersected fractures with different sizes and irregular patterns. Fluid flows inside the matrix, fractures and fluid interactions between matrix and fractures are also taken into account. A boundary ele...