熱的探傷試験データに基づく樹脂構造体内の空洞形状の同定解析に対する平滑化手法の適用

抄録

In this study, we introduced the smoothing methods into the three-dimensional shape identification analysis based on thermal testing data and compared difference between computational results employing each techniques. Then two models, including smooth shape of an ellipse and other one with a dent, are given as target shape, and time history of the temperature on each target shape is obtained to apply to shape identification analysis. As a result, it is found that appropriate smoothing technique on the shape identification analysis changes according to conditions in target shape. Gaussian filter is effectual in a case where the shape of cavity is identified as including smoother surface from the aspect of performance function. On the other hand, in the case that the cavity surface of the target shape has a dimple, traction method has efficacy for bringing the computational model close to target shape.