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《Sichuan Building Science》 2018-05
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Design and seismic performance analysis of self-seismic prefabricated wallboard

GUO Yangzhao;YANG Qiong;WU Ti;ZHANG Chao;Sichuan Institute of Building Research;School of Civil Engineering,Guangzhou University;  
Self-Seismic Prefabricated Wallboard( SSPW) was proposed by combining seismic energy dissipation and prefabricated structure. The construction and working mechanism of SSPW was illustrated and the key theory was derivated. On this basis,the key energy dissipation part models of SSPW and the whole structure models of SSPW were designed to analyze under cyclic loading via finite element simulation. The working mechanism,seismic energy dissipation and key parameters of SSPW were studied. The results show that,it is of feasibility,advancements to realize the concept of SSPW by the simple and effective method which combining the seismic energy dissipation and prefabricated wallboard. The key method to realize the concept of SSPW is that serving the steel frame,which is constructed by steel bar,as energy dissipation part. The energy is dissipated by the flexure of steel frame of SSPW. The seismic energy dissipation performance is closely related to the height and span of steel frame. With the decrease of height or span of steel frame,the initial stiffness,bearing capacity and energy dissipation capacity increases. Under lateral loading,the lateral deformation of SSPW is concentrated on the energy dissipation steel frame and the wallboard suffers little damage. The restoring characteristic of SSPW is bilinear. Before energy dissipation steel frame yielding,considerable lateral stiffness could be provided by wallboard,which is beneficial to control the deformation of structure under normal service condition. After energy dissipation steel frame yielding,the lateral stiffness of SSPW decreases rapidly,the hysteretic curve of SSPW is in form of parallelogram and the equivalent viscous damping coefficient of SSPW is above 43%.
【Fund】: 国家重点研发计划资助项目(2017YFC0703600);; 国家自然科学基金青年基金项目(51508117);; 四川省科技支撑计划项目(2016FZ0014);; 住房与城乡建设部科技项目(2016-K6-006);; 广东省自然科学基金项目(2016A030310259)
【CateGory Index】: TU352.11
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