.../analysis of site-specific 3D rock blocks, monitoring/change detection of scour over time, and rapid collection of thousands of discontinuity measurements for probabilistic scour analysis. INTRODUCTION Scour of rock foundations for dams and spillways during normal and extreme flood events...

... and during emergencies using SAR and GNSS. Then, practical applications are demonstrated for regularly monitoring the slopes and for detecting unstable slopes during an emergency brought about by an extremely heavy rainfall in Japan. INTRODUCTION It is important to regularly monitor the behavior...

... signals for detection of limestone cavities. Comparing to the traditional seismic methods, this method does not require the seismic inversion and can thus achieve nearly real-time detection. The scattered and reflected signals are used to derive an anomaly score based on a signal processing framework...

... presents experience that was assembled in detection, evaluation and categorization of karstic phenomena that was encountered during the construction of tunnel T1. The temporary and final remedial measures of typical karstic features are presented in the paper highlighting the stability, functionality...

... and heterogeneity of the host rock. In this study, deep learning-based method is presented for automatically and accurately segmenting fractures in CT images of rock. The method involves two steps: fracture detection using the Faster R-CNN algorithm and fracture segmentation using the U-Net algorithm. The detection...

... to examine the infrared thermal response of a rock sample to a fixed-frequency sinusoidal heat wave. To automate detection, a cutting-edge deep-learning technique was used to identify, localize, and segment cracks. A sizable dataset of images with a resolution of 640×480 was produced for the algorithm...

... by means of case studies, demonstrating the application of the hybrid system to detect both element as well as site related quality issues. In addition to that, the detection of anomalies regarding execution efficiency assist the project manager to optimize the sequence of work on site. INTRODUCTION...

... ABSTRACT: Rock bolts play a crucial role in enhancing the stability of tunnel structures. However, designing bolt detection methods from LiDAR point clouds often faces the challenge of data imbalance. Despite this, the state-of-the-art deep learning-based detection methods adopt uniform...

... was newly introduced to the FI-DDA, and then, efficient contact detection and contact stiffness matrix assembly algorithms suitable for parallel processing were proposed and introduced to the FI-DDA. The analysis code was parallelized with OpenMP and the performance of the developed method was verified...

...-permeability granite with closed cracks are especially scarce. In this paper, velocity vector tester of three-dimensional sonar was used in typical boreholes within about 100m depth in candidate sites of Beishan, Gansu. Detection precision of the seepage velocity is nearly 10 −8 m/s, margin of seepage...

... & Zhang 2014, Scholtès & Donzé 2013, Potyondy 2012, Potyondy 2010). However, they all have their own limitations (Zhang & Wong 2018). Additionally, from 2D to 3D simulations, the significantly increased computational cost and more complex contact detection lead to low computational efficiency...

... in December. Quick action was asked whereas the areas of interest were inaccessible safely. assessment gcp information accuracy drone imagery acquisition deviation artificial intelligence drone photograph detection positional accuracy imagery orientation identification discontinuity...

..., for example highway, railway construction companies, building industries, etc (Karakus et al., 2010). artificial intelligence algorithm detection journal metals & mining segmentation fragment estimation standard deviation filtration particle overburden geomaterial characterisation...

... Abstract A new algorithm for detecting discontinuity areas from photogrammetric 3D models is presented. The algorithm has been tested under laboratory conditions as well as with real world data. A comparison with values from compass readings showed average deviations around 1° in both cases...

... Upstream Oil & Gas ASR experiment frequency ultrasonic testing Lokají�ek construction materials Reservoir Characterization 13th international congress detection arrival time amplitude means rock mechanic isrm13 expansion value Petružálek alkali-silica reaction dependence...

... measurement, fusion and visual analysis at a later time, which could provide a new method for geological documentation. Artificial Intelligence orientation detection model reconstruction discontinuity surface information feature point CCD camera Computer Vision rock crevice algorithm...

... ABSTRACT Nano-seismic Monitoring (NM) techniques can be used to detect extremely low signals (M L > —4.0) generated by active subsurface instabilities around shallow cavities. The data is acquired by portable sparse seismic arrays, which are deployed as close as possible to a presumed zone...

...) is proposed as a new seismic prediction technique in tunnel. The problems of quick identification of defective geological and low resolution are solved in tunnel prediction. The criterion of detecting the water body with geological penetrating radar(GPR) is studied and revealed. And full space transient...

... RESUME: La detection et la surveillance de zones surcontraintes induites par l'exploitation de charbon à 1250 metres de profondeur aux Houillères du Bassin de Lorraine sont efIectuees à partir d'un couplage entre les methodes numerique et microsismique. L'estimation des modifications de...

... ABSTRACT: Experiments performed with a set of brittle sandstones indicate that failure envelopes determined by conventional triaxial and Multiple Pailure State tests are only sligbtly different. Acoustic wave velocity measurements may be a valuable tool for detecting onset of failure in the multiple...