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Abolfazl Shamsai Ali Pak S. Mohyeddin Bateni S. Amir Hossein Ayatollahi 《Geotechnical and Geological Engineering》2007,25(5):591-602
Waste management issue in mining industry has become increasingly important. In this regard, construction of tailings dams
plays a major role. Most of the tailings dams require some kinds of remedial actions during their operational lifetime, among
which heightening is the most common. In the first stage of the remedial provisions for Sarcheshmeh Copper Complex tailings
dam in Iran, it has been decided to use hydrocyclone method to provide suitable construction material due to the high cost
associated with using borrow materials for heightening of the dam. To undertake this project a series of laboratory experiments
was performed to determine the copper ‘original tailings’ and ‘cycloned materials’ geotechnical characteristics to evaluate
the applicability of the cycloned materials for construction purposes. Different laboratory experiments were conducted to
determine the grain-size distribution, Atterberg limits, specific gravity, maximum density, shear strength parameters, consolidation
coefficient, and hydraulic conductivity. The results were compared with those of similar mines to check whether they follow
the trends observed in other copper tailing materials elsewhere. Variation of the cohesion and internal friction angle versus
different compaction ratios were studied in order to determine realistic shear strength parameters for tailing dam stability
analysis. In this study, using oedometer test, a mild linear relation between void ratio and the consolidation coefficient
has been found for tailings materials. By considering the effects of void ratio and weight of passing sieve #200 materials,
a new relationship is proposed that can be used for estimating the copper slimes hydraulic conductivity in seepage analysis
of tailings dams. 相似文献
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Natural Hazards - The return period is a probabilistic criterion used to measure and communicate the random occurrence of geophysical events such as floods in risk assessment studies. Since an... 相似文献
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An accurate estimation of scour depth around piles is important for coastal and ocean engineers involved in the design of marine structures. Owing to the complexity of the problem, most conventional approaches are often unable to provide sufficiently accurate results. In this paper, an alternative attempt is made herein to develop adaptive neuro-fuzzy inference system (ANFIS) models for predicting scour depth as well as scour width for a group of piles supporting a pier. The ANFIS model provides the system identification and interpretability of the fuzzy models and the learning capability of neural networks in a single system. Two combinations of input data were used in the analyses to predict scour depth: the first input combination involves dimensional parameters such as wave height, wave period, and water depth, while the second combination contains nondimensional numbers including the Reynolds number, the Keulegan–Carpenter number, the Shields parameter and the sediment number. The test results show that ANFIS performs better than the existing empirical formulae. The ANFIS predicts scour depth better when it is trained with the original (dimensional) rather than the nondimensional data. The depth of scour was predicted more accurately than its width. A sensitivity analysis showed that scour depth is governed mainly by the Keulegan–Carpenter number, and wave height has a greater influence on scour depth than the other independent parameters. 相似文献
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