... Abstract Many accidents may occur during tunnel construction because the strata ahead of the working face are not clear; therefore the advanced percussive drilling surveying method is proposed which is one direct convenient, fast and inexpensive geological forecast method. The prediction...

... Abstract Rock cutting mechanisms were used for the prediction of the cutting performance of mechanical excavators in the mid of 1900s. However, rock cutting tests performed in the laboratory both in small and full scales have been successfully applied for the same purpose as a more realistic...

... Abstract Prediction of landslide surge in reservoir lies in the calculation of sliding velocity. For the present, the application of formula commonly used for predicting sliding velocity in projects has been limited within a certain range in that both the complicated influencing factors...

... is not solved, it will directly lead to a serious consequence. tunnel entrance slope prediction Taishangou tunnel entrance slope evaluation method disaster bearing body vulnerability failure probability construction entrance slope working condition safety risk management safety risk...

... ABSTRACT It is very difficult to predict accurately non-linear deformation time series of surrounding rock using general methods expecially under complex geological condition. A new method based on Gaussian Process (GP) machine learning, which is a newly developing machine learning method...

... the expected can be a change in the ground conditions ahead of the face. It is meanwhile well known that trends of displacement vector orientations can be used to predict changing ground conditions ahead of the face (Schubert & Budil 1995, Steindorfer 1997, Jeon et al. 2005). The methods for monitoring data...

... neural network correlation artificial neural network metals & mining node specific charge Artificial Intelligence protodyakonov index prediction machine learning Chakraborty input parameter application coefficient test data excavation tunnel tunnel area ANN model...

..., as shown in Figure 1. Since use of the face slabs is the major measure for seepage control of the dam, the seepage behavior may deteriorate by the cracks. Though field measurements show that the cracks would not endanger the safety of the dam, sensitivity analysis is still needed to predict the seepage...

... ABSTRACT A two dimensional finite element model is proposed to predict the effectivee thermal conductivity of rock sample. The heterogeneity of rock is taking into account in the numerical model at mesoscopic level by employ the statistical method. Finite element models simulated a steady...

... by using 59 series of accurate triaxial test datasets which are belong to 20 different rock types selected from the literature. It has been shown that the proposed criterion is capable of predicting the triaxial behavior of rocks in both tensile and compressive regions. There are two coefficients...

... project management prediction application geological condition strategic planning and management mitigation measure ve workshop Tunnel Project construction risk management water inflow geological risk Hong Kong specification Workshop monitoring extreme geological condition...

... are available for predicting the end bearing capacity of rock socketed shafts (e.g., CGS 1985; Rowe and Armitage 1987; AASHTO 1996), they often do not accurately predict the results obtained in field tests, particularly in the range of high rock compressive strength. Zhang and Einstein (1998) developed a new...

.... Sasaki et al. (1994, 2004) have proposed Multiple Yield Model (MYM) for analyzing discontinuous rock, that is, the equivalent model of FEM by using compliance matrix method. This paper describes the tow practical examples of the results of the prediction by the numerical analysis using MYM...

... metals & mining classification th iacmag Artificial Intelligence Engineering training data machine learning Upstream Oil & Gas information prediction coefficient artificial neural network output layer discontinuity application neural network Simulation optimization...

... measured by electric resistance gauges. Plotting of accumulated hit and the accumulated absolute energy versus time shows the absolute energy is a more appropriate parameter to monitor crack propagation and to predict catastrophic failure of specimens than the conventional AE's hit. By comparing the AE...