Footings placed on or near a slope, the slope face act as a finite boundary that leads to an inappropriate and inadequate development of the plastic region of failure as the foundation approaches the limit state under the applied loading. Depending upon the position of the footing and steepness of the slope, the above-mentioned phenomena might lead to considerable decrease in the bearing capacity of the foundation. A sequence of finite element analysis has been carried out using Plaxis 2D v2015.02 to inspect the ultimate bearing capacity of strip footings placed at the crest of the c–φ soil slope. The effect of various geo-parameters namely internal angle of friction (φ), cohesion (c), setback distance (b), width of footing (B), slope angle (β) and embedment depth of footing (D_f) on the ultimate bearing capacity of the footing have been investigated and the outputs obtained are appropriately elucidated. In addition, large database of numerically simulated ultimate bearing capacity has been considered to develop and verify the ANN model to establish the relative importance of the input parameters.

中文翻译：

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斜坡地基基础的有限元研究和基于神经网络的预测

在斜坡上或接近斜坡的基础上，斜坡面充当有限边界，当基础在所施加的载荷下接近极限状态时，会导致塑性破坏区域的不适当地发展。根据立足点的位置和斜坡的陡峭程度，上述现象可能会导致基础承载力的显着下降。有限元分析的序列已进行了使用的Plaxis 2D v 2015.02检查放置在的波峰条形基础的承载力Ç - φ土壤斜率。各种地理参数的摩擦即内角（的效果φ），凝聚（Ç），后退距离（b），基脚（的宽度乙），倾斜角（β）和基脚（的埋入深度d _˚F于基础上的承载力）已经被研究，得到的输出被适当地阐明。此外，已经考虑使用大型的数值模拟极限承载力数据库来开发和验证ANN模型，以建立输入参数的相对重要性。