近年来,课题组面向国家战略需求,围绕航空航天先进飞行器开展了系统化、实用化的研究工作,解决了飞行器结构系统精细化分析与设计中的若干关键基础问题,取得了一系列创新成果,得到了包括多位院士在内的国内外权威学者的普遍认可与积极评价。在《Computer Methods in Applied Mechanics and Engineering》、《Aerospace Science and Technology》、《Mechanical Systems and Signal Processing》、《International Journal of Heat and Mass Transfer》等本领域顶级期刊上发表论文80余篇,论文SCI引用2000余次,多篇入选ESI热点论文和高被引论文;授权中国发明专利30余项,软件著作权5项;主持和参与国家高层次青年人才项目、德国洪堡基金项目、国家自然科学基金重点/面上/青年项目、GF基础科研计划项目、北航青年拔尖人才项目、院所工程项目等多个横/纵向课题;获中国GF技术发明三等奖两项 (2016年,2021年)、中国力学优秀博士学位论文提名奖、北航优秀博士论文奖、中科院top期刊Appl Math Mech-Engl年度杰出作者、北京市优秀毕业生等荣誉称号。
获奖情况:
(1)2020年国家高层次青年人才
(2)2017年德国洪堡学者
(3)全球前2%顶尖科学家榜单
(4)GF技术发明三等奖
发明专利:
(1) 基于样本分布特征和椭球模型的旋转机械故障诊断方法, 2025, CN202510024982.6
(2) 基于支持向量机模型的焊接结构裂纹扩展寿命分析方法, 2025, CN202411777566.5
(3) 基于模糊聚类的飞行器机翼结构的不确定性分析方法, 2024, CN202111261377.9
(4) 基于粗糙集理论的热力耦合系统不确定性分析方法, 2024, CN202111395218.8
(5) 一种含有模糊参数的传热系统可靠性分析方法, 2020, CN201710107747.0
代表性论文:
(1) Qiang X, Chen X, Wang C*. Novel convex model-based approach for data-driven fault diagnosis considering uncertainty. Reliability Engineering and System Safety, 2026, 266: 111714.
(2) Mao R, Qiang X, Wang C*. Decomposition-enhanced parameterized physics-informed neural network for uncertainty-aware interior acoustic analysis. Computer Methods in Applied Mechanics and Engineering, 2025, 446: 118279.
(3) Fan H, Wang C*, Li S. Novel method for reliability optimization design based on rough set theory and hybrid surrogate model. Computer Methods in Applied Mechanics and Engineering, 2024, 429: 117170.
(4) Wang C*, Hong L. Novel numerical method for uncertainty analysis of coupled vibro-acoustic problem considering thermal stress. Computer Methods in Applied Mechanics and Engineering, 2024, 420: 116727.
(5) Wang C*, Qiang X. Novel data-driven method for non-probabilistic uncertainty analysis of engineering structures based on ellipsoid model. Computer Methods in Applied Mechanics and Engineering, 2022, 394: 114889.