توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Rock slopes stability reliability assessment based on geometrical properties
نویسنده(ها): ، ،
اطلاعات انتشار: اولین کنفرانس ملی مهندسی ژئوتکنیک، سال
تعداد صفحات: ۸
Probabilistic analysis of rock slope stability has been used as an effective tool to evaluate uncertainty soprevalent in variables and has received considerable attention in the literature.Generally, uncertainties in thegeometrical properties and rock parameters are two main observations in reliability assessment. In thisresearch the geometrical properties are selected as stochastic variables for rock slope stability with planesliding. The Monte Carlo simulation is employedin probabilistic analysis and reliability assessment. Theselected stochastic parameters are angle of failure surface, height of the overall slope and angle of slope face,which are modeled using a truncated normal probability distribution function. The results show the safetyfactor has a distribution near normal.Sensitivity analysis and parametric study illustrate the angle of failuresurface is the most effective parameter in rock slope stability with plane sliding.<\div>

۲Soil–Water Characteristic Curve prediction by Gene Expression Programming
نویسنده(ها): ،
اطلاعات انتشار: هشتمین کنگره ملی مهندسی عمران، سال
تعداد صفحات: ۸
Soil–water characteristic curve is one of the most important parts of any model that describes unsaturated soil behavior as it explains the variation of soil suction with changes in water content. In this research, gene expression programming is employed as an artificial intelligence method for modelling of this curve. Geneexpression programming can operate on large quantities of data in order to capture nonlinear and complexrelationships between variables of the system. Inputs of the model are the initial void ratio, initialgravimetric water content, logarithm of suction normalized with respect to atmospheric air pressure, clay content, and silt content. The model output is the gravimetric water content corresponding to the assigned input suction. The results illustrate that the advantages of the proposed approach are highlighted<\div>
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