... burst risk domains" at a mine site 4. Controls a. Preventative measures for elimination of risk (i.e., mine design criteria) b. Mitigation of risk (i.e., support design) machine learning artificial intelligence hydraulic fracturing mechanism reservoir characterization upstream oil...

... ground structure (Quinay et al. 2013, Agata et al. 2016). Also, required is an automated model construction of a suitable analysis model for structures the number of which is of the order of 100,000 or 1,000,000. artificial intelligence hazard and disaster high performance computing contingency...

... acceleration time history spectra peshawar artificial intelligence ground motion aydan response spectra motion estimation Copyright 2019, Taylor & Francis Group. Permission to distribute - International Society for Rock Mechanics and Rock Engineering ...

... fracturing process in rock splitting method to the future study. reservoir simulation hjc material model orthogonal array hydraulic fracturing tensile fracture simulation artificial intelligence upstream oil & gas procedure dynamic simulation code changheon song jin-young park rock...

... characteristics of sedimentary soft rock under dynamic cyclic loading, 7th National Symposium on Rock Mechanics in Japan technical papers: 61 66 (in Japanese). 170 reservoir geomechanics cyclic loading rock joint artificial intelligence displacement cyclic loading test reservoir characterization...

... tokashiki abuchiragama karstic underground shelter strength 0 risk and uncertainty assessment area 7 evaluation aydan artificial intelligence ground surface stability evaluation rock mass underground shelter tensile strength area 3 risk assessment university Copyright 2019, Taylor...

... response earthquake correlation artificial intelligence displacement tawarayama tunnel seismic damage point cloud axis tunnel ground deformation dataset mountain tunnel horizontal deformation deformation Copyright 2019, Taylor & Francis Group. Permission to distribute - International...

... simulations of hydraulic fracturing has been due to the advanced mesh independent implementations in the context of X-FEM framework (e.g. Réthoré et al. 2007, Khoei et al. 2014, Vahab & Khalili 2018a,b). flow in porous media relation international journal configuration artificial intelligence...

... optimization problem artificial intelligence simulation-based optimal design approach protection wall rockfall simulation acceptable energy safety function simulation simulated result rockfall path cost function construction cost information rockfall protection wall horizontal distance design...

... Akaike, H, 1973. Information theory and an extension of the maximum likelihood principle, Second International Symposium on Information Theory, Akademiai Kiado, Budapest, 267 281. Kuwahara, T, et al. 2012. International Journal of the JCRM Vol.8 pp.25 30. 696 artificial intelligence hydraulic rock...

... topology optimization framework using unstructured polygonal nite element meshes. Structural and Multidisciplinary Optimization 45:329 357. 637 artificial intelligence criterion model parameter upstream oil & gas simulation numerical polygonal finite element percussive drilling kuru...

... tsunami boulder artificial intelligence island shimoji island aydan utilization kumamoto earthquake aerial photogrammetry technique geometry drone quantification tunnel earthquake evaluation landslide laser Abstract: Drones and laser scanning technologies are quite advanced...

... the detonation time interval and the method of determining the optimum range of application of control blast. electronic detonator center cut dominant frequency propagation path vibration temporal reasoning vibration waveform opposite phase vibration level time interval artificial intelligence...

... developed, namely, the bond-based PD (BB-PD), ordinary state-based PD (OSB-PD) and non-ordinary state-based PD (NOSB-PD). However, the PD is still a relatively new theory and the number of its applications to rock dynamics problems has been very limited. artificial intelligence bb-pd particle...