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- 저자 : Changxing Zhu (검색결과 2 건)
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Split Hopkinson Pressure Bar Test and Its Numerical Analysis Based on Transparent Rock Samples
Changxing Zhu,Weidong Li,Yeming An 대한토목학회 2022 KSCE Journal of Civil Engineering Vol.26 No.9
Rock crack propagation is an important direction in the analysis of rock mechanical properties. However, due to the opacity of rock mass, crack evolution process cannot be directly observed. In this study, a heterogeneous anisotropic transparent rock made by mixture randomly distributed different sizes molten quartz sand and pure epoxy resin. This study aims to provide an intuitive and useful method of observing the characteristics of crack evolution, also crack evolution process is recorded by a high-speed camera based on Split-Hopkinson pressure bar (SHPB) tests. The results show that: change of internal color is monitored during loading, which confirms the visualization of internal crack evolution. Failure occurs along the loading direction, and many cracks are distributed in the center of the sample. When the main crack passes through the broken glass sand, it directly passes through the glass sand, and when it passes through the unbroken glass sand, it extends along the edge of the glass sand. Particle flow code(PFC) is used to simulate crack propagation process of transparent rock sample in the SHPB test, and the process is divided into four stages: no crack, crack initiation, crack coalescence, and crack stability. When the final failure of the sample occurs during loading course, tensile cracks account for 78.3% of the total cracks and shear cracks account for 21.7%. Furthermore, fracture of the sample is dominated by tensile action. Stress–strain curve and failure mode of numerical simulation are in good agreement with laboratory test. The visualization of rock crack propagation is helpful to the follow-up study of hydraulic fracturing of roadway and debonding of bolt.
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Reliability-based Optimization of Geotechnical Engineering using the Artificial Bee Colony Algorithm
Hongbo Zhao,Ming Zhao,Changxing Zhu 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.5
The performance and safety of a geotechnical engineering system are affected by uncertainties. The purpose of Reliability-Based Optimization (RBO) is to find a balanced design that is not only economical but also reliable in the presence of uncertainties. Numerous reliability optimization techniques have been proposed. In this study, the Artificial Bee Colony (ABC) algorithm is employed for reliable optimization of a geotechnical engineering system. The proposed ABC-RBO method combines ABC and First Order Reliability Methods (FORM). Optimization is performed with ABC, while the reliability analysis is performed with FORM, incorporating Excel solver. The proposed method is verified by two geotechnical engineering examples and compared with other methods, and shown to be robust, accurate, and feasible.
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