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Tapered FRP tubes have high-energy absorption performance under axial compressive load. FRP will be useful for structural material of a shock absorber in the various industries. And in order to simulate the behavior of this material, several experimental tests and numerical simulations using FEM have been carried out recently. However, it is still difficult to simulate the behavior of tapered FRP tubes involving so called “Progressive Crushing” with FEM properly, because the fracture mechanism contains various kinds of fractures such as delamination, fiber fracture and so on. In this study, we proposed a specially designed FEM model based that is useful for the crush-worthiness analysis of FRP tube.

In the material design, essential and functional properties are very important information. This information includes the numerical value, the image photograph, the table and the figure, etc. However most of this information has been kept as analogue information. It is necessary to convert analogue into digital one. Thereupon it is significant to construct the database related with all information organically. In this study, the energy absorption properties of FRP tube were paid attention. The construction of the database system was investigated by using various kinds of information. It aimed at the multi-function design aid tool to be used by the Internet.

FRP tubes are specified as application to automobile and aircraft structure because of high energy absorption performance, so that it is necessary to understand energy absorption mechanisms of composite tubes. We have developed prediction method for the crash-related energy absorption capability of the composite tubes. In this study, three types of numerical models were proposed in order to evaluate the energy absorbed by three different major fractures. The analytical method was applied to CF/PEEK and GF cloth/epoxy composite tubes. These analytical results were compared with experimental results. According to comparison between them, the energy absorption mechanisms could be estimated quantitatively.