Detection of Structure Damage Degree Based of RBF Network
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摘要: 为了对悬臂梁缺口形式的损伤程度进行评估，以缺口深度为衡量标准，将径向基网络与传统的结构损伤检测相结合，运用有限元方法以及MATLAB软件对一种低碳钢材料的悬臂梁损伤进行了损伤模拟，并对径向基神经网络进行了训练，以相关试验数据对该方法进行了验证，证明了其可行性，为进一步实现飞行器的结构健康监测打下了基础，具有一定的指导意义。Abstract: Combining the radial basis network and traditional methods of structural damage detection and taking damage depth as detect target, the cantilever beam damage in gap form was evaluated. The simulation of the damage to the structure by using the finite element method and MATLAB software, and the experimental data are used to validate the proposed method, and the results proved its feasibility, providing a basis for the further implementation of structural health monitoring of aircraft, which has a certain guiding significance.
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Keywords:
- RBF /
- Damage detection /
- Cantilever beam /
- Natural frequency
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