报 告 人：刘欢，自动化学院特任副教授
报告题目：Sensor Data-Driven Approaches for Damage Assessment and Quantification in
内容简介：Composite materials have been widely used in aerospace industry and are critical for safe operations. However, due to the fatigue under continuous loading, the uncertain in structural integrity still remains an unsolved problem. The assessment of structural damage in composite laminates can be achieved by characterizing damage location, type, and size. The growth trend of the delamination area is one of the most important factors. Aimed to predict the delamination efficiently and accurately, this report proposes data-driven prognostic methods to build the prediction models. In this study, the path length across delamination area was selected as the target value to train the models, while the delamination area can be estimated with the predicted path length based on formulated geometric relationships. The interrogation frequency, which reflects the interaction of the acoustic wave and delamination, was employed as the input variable for the established prediction model. Experimental results on composite coupons demonstrated the effectiveness of the proposed method.
报告人简介：刘欢，特任副教授。目前主要研究方向：智能地球物理仪器、微弱信号检测、无损探伤等。第一作者或通信作者在 IEEE Transactions on Geoscience and Remote Sensing，IEEE Transactions on Instrumentation and Measurement 等国内外重要学术期刊和会议上发表论文16篇。主持中央高校杰出人才培育基金1项，中国地质科学院物化勘查研究所专项资金项目1项，参与国家自然科学基金面上项目、国家重大科学仪器设备开发专项等项目。2018年入选中国地质大学（武汉）地大学者-青年优秀人才计划。