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作 者:汪菁[1] 刘晖[2] 杨莉[2] 钱斌 瞿伟廉[2]
机构地区:[1]武汉理工大学土木工程与建筑学院,武汉430070 [2]武汉理工大学道路桥梁与结构工程湖北省重点实验室,武汉430070 [3]武汉地产开发投资集团有限公司,武汉430015
出 处:《武汉理工大学学报》2011年第3期108-111,共4页Journal of Wuhan University of Technology
基 金:国家自然科学基金(51078301)
摘 要: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 roof latticed structure of Wuhan Natatorium as engineering background,according to the structural characteristics,the structural safety early-warning method is proposed in the paper.It is great trouble of Wuhan Natatorium roof since the "V" shape skylights located on the roof.Therefore,the key to realize the structural safety early-warning is to establish finite element model of "V" shape skylights acted by snow load and to detect firn thickness on the roof.Based on the phenomena constitutive equation of snow,the finite element model of gutter board with firn used for structural safety early-warning is established according to climate characteristics of Wuhan city.Due to the map relationship between the strains of "V" shape skylight with firn thickness,the strain information is measured by strain gauges installed on the "V" shape skylights;the firn thickness is detected by fuzzy pattern identification methods.The target of safe early-warning for firn thickness of the latticed structure can be achieved.
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