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以武汉市游泳馆屋顶网架结构为工程背景,根据屋顶网架结构的特点,研究了该结构的安全预警方法。考虑到屋顶设置了“V”型天窗,天窗处积雪是该结构的最大安全隐患。因此,合理建立积雪的天窗有限元模型和识别积雪厚度是此结构安全预警实现的关键。据此,基于雪的唯象本构关系,根据武汉市的气候特点,建立了适合于结构安全预警的积雪天沟板有限元模型。根据天窗处天沟板的应变与积雪厚度存在着一一对应的映射关系,通过在网架结构易积雪的天窗处布置应变传感器采集应变信息,采用模糊模式识别理论,实时自动识别作用在网架结构天窗处的积雪厚度,达到对该网架结构的积雪厚度进行安全预警的目的。
Taking Wuhan rooftop network structure as the engineering background, according to the characteristics of the rooftop network structure, the safety precaution method of the structure is studied. Taking into account the roof set up “V” type sunroof, sunroof snow is the maximum structure of the security risks. Therefore, establishing a snow-covered skylight finite element model and identifying the snow thickness are the keys to the safety early warning of this structure. Therefore, based on the phenomenological constitutive relationship of snow, according to the climate characteristics of Wuhan, a finite element model of snow gutter suitable for early warning of structural safety is established. According to the relationship between the strain of gypsum board and the thickness of snow in skylight, there is a one-to-one mapping relationship between them. Strain sensors are placed on the skylight of snow-scaffolding structure to collect strain information. Fuzzy pattern recognition theory is used to recognize real- The snow thickness at the skylight of the truss structure achieves the goal of pre-warning the snow thickness of the truss structure.