【摘要】 针对油库基础建于红石包滑坡体上 ,应用神经网络方法对滑带土强度参数进行估算 ,采用剩余推力法对油库基础进行安全评价。研究表明 ,在 175m库水位 ,饱和地下水、暴雨入渗、地震等因素的共同作用下 ,油库基础可能会产生变形 ,甚至失稳。因此 ,在工程治理设计中 ,采用悬臂桩、预应力锚拉桩进行支挡 ,有效地控制油库基础变形更多还原

【Abstract】 To study the safety of a large scale oil depot built on Hongshibao landslide, neural network method is used in the evaluation of strengthening parameters of the slide zone soil and a push method is applied in the safety evaluation of the foundation of the oil depot. The result demonstrates that the foundation will deform and will even be unstable at the water level of 175?m under conditions of saturation of underground water, heavy rain and earthquake. So, many kinds of cantilever piles and anchorage piles are designed for support, and the deformation of the foundation could be effectively controlled by this method.更多还原