大面积多层地下空间墙体裂缝控制仿真分析

Simulation Analysis of Crack Control of Large-Scale Multi-storey Underground Space Wall

目前地下墙体裂缝控制方法控制精度低、能耗高,提出基于多元分析的大面积多层地下空间墙体裂缝控制方法。定义一幅地下空间墙体裂缝二值图像,并对该图像进行张量编码。根据张量编码进行张量计算,利用棒型投票域与球形投票域方式将某点张量场强信息递送至该点领域的其它各点,依据场强信息不断累加,尽可能地突出地下空间墙体裂缝目标的各种信息。对张量计算结果进行分解,完成墙体裂缝目标信息提取。基于地下空间墙体裂缝信息,将导致墙体产生裂缝的因素划分为设计因素、施工因素及环境因素三种。分别将不同因素导致墙体产生裂缝的控制函数结合,得到基于多元分析的墙体裂缝控制方案。仿真结果表明,基于多元分析的墙体裂缝控制方法平均控制能耗为47. 5J,控制精度高。该方法性能全面,可为该领域研究提供支撑。

Due to the low control accuracy and high energy consumption in current methods, this paper puts forward a method for controlling wall cracks in large - area multi - layer underground space based on multi - analysis. At first, this method defined a binary image of wall cracks in underground space and performed the tensor coding on the image. Next, the method performed tensor calculation based on the tensor coding, and then used the way of clarate voting field and the spherical voting field to transmit tensor field strength information of a certain point to other points in this field. Based on the continuous accumulation of field strength information, various information of wall cracks in underground space was highlighted as much as possible. Moreover, the tensor calculation results were decomposed to complete the extraction of wall crack target information. According to the wall crack information in underground space, the factors that caused wall cracks were divided into the design factors, the construction factors and the environmental factors. Combining with control functions of wall cracks caused by different factors, we could obtain the scheme to control wall crack based on multivariate analysis. Simulation proves that the average control energy consumption in control method for wall cracks based on multivariate analysis is 47.5 J, and the method has high control accuracy.