报告题目：航天飞机热防护复合材料超高速碰撞损伤行为研究
报告人：殷春教授
报告时间：2020年1月10日（星期五）下午2:00-3:00
报告地点：杭州电子科技大学文一人工智能研究院一楼报告厅
殷春，教授，博导，电子科技大学校百人。主要研究领域包括航天器损伤评估技术、快速可视化无损检测技术以及无人机飞行协同智能控制技术等。主持国家自然科学基金2项，“十三五”预研共用技术1项，省科技项目1项，省重大仪器专项1项（合作单位负责人）,目前在研经费500余万。另外还主研两项 “十三五”预研共用技术、中央高校重点项目、装发部型号项目、国家重点研发计划以及超高速碰撞研究中心开放基金等国家级和军队科研项目，经费超2000万。科研管理业绩方面，作为主要申报者（基地科研主管），申请获批四川省国际科技合作基地“电子测试国际联合研究中心”。近5年发表论文40余篇，一作SCI论文14篇（ESI高被引论文4篇以及热点论文4篇，大类一区论文4篇、二区10篇）和 A类会议5篇，发表自动控制领域顶刊《Automatica》上的一作ESI高被引论文连续在榜19期（38个月）以及发表SCI期刊《Nonlinear Dynamics》上的一作ESI高被引论文连续在榜14期（28个月），单篇最高SCI他引118次， Google累计引用超2200次，个人h指数24。
摘要：In recent years, the hypervelocity-impact (HVI) risk from meteoroid/orbital debris (M/OD) has become a growing threat to spacecrafts. To realize automatical M/OD risk assessments, it is necessary to evaluate the HVI damages by employing some effective nondestructive testing technologies. This topic introduces a damage evaluation method with multi-objective feature extraction optimization scheme in the thermal wave image technique, to quantificationally evaluate the M/OD HVI damages. The proposed MO-FEO method not only investigates the difference among temperature points in different thermal temperature categories, but also considers the correlation among temperature points of each thermal temperature category, to select the representative temperature point accurately. The multi-objective feature extraction is applied to search for the representative temperature points of the infrared thermal image sequence, the damage evaluation method contains variable step search and classification of temperature points, in order to enhance the detection efficiency. Experimental results including M/OD HVI tests are provided to demonstrate the capabilities of the proposed method.