| 1 | Construction schedule risk analysis of high roller-compacted concrete dams based on improved CSRAM显示文摘The applied technology of high roller-compacted concrete(RCC) dams is quite complicated because of various risk factors, including the weather condition, supply of concrete aggregate, efficiency of transport machinery and dam surface machinery, and so on. In order to ensure the comprehensiveness, accuracy and objectivity of construction schedule risk analysis, a mathematical model called improved correlated schedule risk analysis model(CSRAM) is proposed in this paper. This model takes into account not only the construction features of high RCC dams, but also the stochastic variations of risk factors with the construction schedule, as well as their comprehensive effects. Using Monte Carlo method to solve this model enables the completion probability of a high RCC dam construction within plan time, and uncertainty analysis of risk factors. Compared with the conventional CSRAM, the improved CSRAM has higher completion probability and more convergent distribution of a simulation period, making analysis results more accurate and closer to actual engineering conditions. Among the ten risk factors selected, efficiency of dam surface machinery and proficiency of workers are found to be of the maximum uncertainty. | ZHONG DengHua YANG ShiRui CHANG HaoTian YU Jia YAN FuGen | 2015 | Science China(Technological Sciences)2015，58，6： | 5 |
| 2 | 3-D Fracture Network Modelling in Hydropower Engineering Based on Optimal Monte Carlo Simulation显示文摘Effectively and accurately modelling the spatial relation of fracture surfaces is crucial in the design and construction of large hydropower dams having a complex underlying geology. However, fracture surfaces are randomly formed and vary greatly with respect to their spatial distribution, which makes the construction of accurate 3-D models challenging. In this study, we use an optimal Monte Carlo simulation and dynamic conditioning to construct a fracture network model. We found the optimal Monte Carlo simulation to effectively reduce the error associated with the Monte Carlo method and use dynamic conditioning to ensure the consistency of the model with the actual distribution of fractures on the excavation faces and outcrops. We applied this novel approach to a hydropower station on the Jinshajiang River, China. The simulation results matched the real sampled values well, confirming that the model is capable of effectively and accurately simulating the spatial relations in a fracture network. | Pan Yue Denghua Zhong Fugen Yan Han Wu Yichi Zhang | 2017 | Transactions of Tianjin University2017，23，4： | 2 |
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