Tensile deformation and damage play an essential role in rock engineering problems. This paper presents a framework for evaluating the stability of a group of anhydrite caverns combining both experimental and numerical methods. In this study, the tensile Young’s modulus and Poisson’s ratio of anhydrite are determined based on the Brazilian disc splitting test. The tests show that the tensile Young’s modulus of anhydrite is less than the compressive Young’s modulus, with a ratio of approximately 0.58–0.91. The tensile Poisson’s ratio is greater than the compressive Poisson’s ratio, with a ratio of approximately 2.47–3.20. Based on the differences between the mechanical parameters (Young’s modulus, Poisson’s ratio) of anhydrite in the tensile and compressive states, a user-defined constitutive model is developed with the Hoek-Brown failure criterion, which describes the tensile and compressive behaviour at a laboratory scale. Finally, a large-scale three-dimensional (3D) anhydrite cavern group located in Anhui Province, China, which was formed by mining activity over the past 10 years, is used as a case study to illustrate the proposed framework. The model for the anhydrite cavern group is established in FLAC3D5.0, and the stability of the anhydrite cavern group used for underground oil storage is then analysed with this model. The simulation results indicate that after the exploitation is completed, there are few plastic zones and tensile elements in the surrounding rock near the cavern group. The maximum value of cavern roof settlement is approximately 5.54 mm. The maximum cavern bottom upheaval is approximately 6.11 mm, and the maximum ground subsidence is approximately 3.0 mm. The results indicate that the Anhui Hengtai anhydrite cavern group possesses good stability potential as an underground oil storage space.
This paper focuses on evaluating the computational performance of parallel spatial interpolation with Radial Basis Functions (RBFs) that is developed by utilizing modern GPUs. The RBFs can be used in spatial interpolation to build explicit surfaces such as Discrete Elevation Models. When interpolating with large-size of data points and interpolated points for building explicit surfaces, the computational cost would be quite expensive. To improve the computational efficiency, we specifically develop a parallel RBF spatial interpolation algorithm on many-core GPUs, and compare it with the parallel version implemented on multi-core CPUs. Five groups of experimental tests are conducted on two machines to evaluate the computational efficiency of the presented GPU-accelerated RBF spatial interpolation algorithm. Experimental results indicate that: in most cases, the parallel RBF interpolation algorithm on many-core GPUs does not have any significant advantages over the parallel version on multi-core CPUs in terms of computational efficiency. This unsatisfied performance of the GPU-accelerated RBF interpolation algorithm is due to: (1) the limited size of global memory residing on the GPU, and (2) the need to solve a system of linear equations in each GPU thread to calculate the weights and prediction value of each interpolated point. 相似文献
Efficient collision detection is critical in 3D geometric modeling. In this paper, we first implement three parallel triangle-triangle intersection algorithms on a GPU and then compare the computational efficiency of these three GPU-accelerated parallel triangle-triangle intersection algorithms in an application that detects collisions between triangulated models. The presented GPU-based parallel collision detection method for triangulated models has two stages: first, we propose a straightforward and efficient parallel approach to reduce the number of potentially intersecting triangle pairs based on AABBs, and second, we conduct intersection tests with the remaining triangle pairs in parallel based on three triangle-triangle intersection algorithms, i.e., the Möller’s algorithm, Devillers’ and Guigue’s algorithm, and Shen’s algorithm. To evaluate the performance of the presented GPU-based parallel collision detection method for triangulated models, we conduct four groups of benchmarks. The experimental results show the following: (1) the time required to detect collisions for the triangulated model consisting of approximately 1.5 billion triangle pairs is less than 0.5 s; (2) the GPU-based parallel collision detection method speedup over the corresponding serial version is 50x - 60x, and (3) Devillers’ and Guigue’s algorithm is comparatively and comprehensively the best of the three GPU-based parallel triangle-triangle intersection algorithms. The presented GPU-accelerated method is capable of efficiently detecting the potential collisions of triangulated models. Overall, the GPU-accelerated parallel Devillers’ and Guigue’s triangle-triangle intersection algorithm is recommended when performing practical collision detections between large triangulated models.
Vast data from the drilling and geophysical prospecting are reliable original information to describe the space state of engineering
rock mass, and one of the main difficulties in three-dimensional (3D) modeling of engineering rock mass is the processing
of the primary data. From the view-point of 3D modeling, the engineering rock masses are classified as four basic types according
to their geometric characteristics of geologic structure: (1) continuum rock mass; (2) discontinuous rock mass; (3) overturned
fold rock mass and (4) intrusive rock mass. Because drilling data are very important to describe the characters of multi-scale
of the spatial data for rock mass, the rule of how to process drilling data is developed to help appropriately display them
in the viewpoint of 3D space. According to the characteristics of rock mass layers, the processing method of drilling data
for 3D modeling of engineering rock masses, along with the layer thicknesses, is also proposed, including the evaluation rules
and the extensive direction for original borehole data. By this method, the typical 3D data modeled is completed and the model
form of the engineering rock mass is developed. By this example, it is finally verified that the method presented is successful
and feasible to process 3D engineering rock mass.
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Translated from Chinese Journal of Rock Mechanics and Engineering, 2005, 24(11): 1 821–1 826 [译自: 岩石力学与工程学报] 相似文献
Neural Computing and Applications - Slope deformation prediction is crucial for early warning of slope failure, which can prevent property damage and save human life. Existing predictive models... 相似文献