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Keywords: prediction
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Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-025
... 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...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-062
... modeling mechanism tool-rock interaction tool force Reservoir Characterization excavation machine failure mode cuttability interaction hydraulic fracturing Simulation shear failure mechanical property discrete element method cutting Rock mechanics prediction numerical test...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-069
... calculation scheidegger method rock mass formula instability surge height renewable energy prediction landslide mass reservoir block unit dynamic change process deformation Upstream Oil & Gas energy method Pan Jiazheng method jiazheng method discrete element method Rock...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-139
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-044
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-109
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-144
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-150
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-076
..., 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-111
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-021
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-200
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-068
... 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...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-082
... 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...

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