水流冲刷下的涵洞软地基承载性能与加固技术

BEARING PERFORMANCE AND REINFORCEMENT TECHNOLOGY OF CULVERT SOFT FOUNDATION UNDER WATER FLOW

针对目前研究的涵洞软地基承载性能分析结果不准确,加固技术难以达到要求等问题,在水流冲刷下提出一种新的涵洞软地基承载性能与加固技术。以武汉市武昌区红巷南侧、临江大道东侧、武昌山北地区主要的排渍泵站为例,分析其承载性能,确定加固技术。分析水流冲刷下的涵洞软地基特性,根据物理特性、固结特性与强度特性确定涵洞软地基的刚性特性,建立有限元数值模型,对粘土和砂土地基与涵洞软地基承载力之间的关系进行分析,得到承载力变化规律,研究涵洞软地基承载力随固结变化的情况,计算涵洞软地基承载力。通过降低超静孔隙压力的方式增加涵洞软地基的承载能力,控制涵洞软地基的液化性,实现水流冲刷下的涵洞软地基加固。研究的水流冲刷下的涵洞软地基承载性能与加固技术得到的地基承载力数值与实际值更加接近,加固性能更好,具有很好的实际应用效果。

In view of the accuracy and inaccuracy of the analysis results of the bearing performance of the soft foundation of the culvert,and the difficulty of the reinforcement technology to meet the requirements,a new bearing performance and reinforcement technology of the soft foundation of the culvert is proposed under water erosion.Take the main flood-draining pump stations in the south of red lane in Wuchang district,east of Linjiang avenue,and the north of Wuchang Mountain as examples to analyze their load-bearing performance and determine the reinforcement technology.Analyze the characteristics of culvert soft foundation under water flow,determine the rigidity of culvert soft foundation according to physical characteristics,consolidation characteristics and strength characteristics,establish a finite element numerical model,and analyze the relationship between the bearing capacity of clay and sand foundation on the culvert soft foundation analyze and obtain the law of bearing capacity change,study the change of the bearing capacity of culvert soft foundation with consolidation,and calculate the bearing capacity of culvert soft foundation.By reducing the excess pore pressure,the bearing capacity of the soft foundation of the culvert is increased,the liquefaction of the soft foundation of the culvert is controlled,and the soft foundation of the culvert is strengthened under water flow.The bearing capacity of the soft foundation of the culvert under the current scour and the value of the foundation bearing capacity obtained by the reinforcement technology are closer to the actual value,the reinforcement performance is better,and it has a good practical application effect.