2018年在南京航空航天大学获得博士学位。一直从事复合材料结构的损伤检测、评估、建模和预测工作，同时也探索新型人工智能算法在传统工程领域的应用，参与国家及省部级项目3项，承担江苏省自然科学基金青年项目等。2016年赴英国布里斯托大学，Bristol Composites Institute(ACCIS)联合培养1年。迄今已发表期刊论文10余篇，其中以第一作者发表SCI收录论文9篇，论文主要集中于Compos. Sci. Tech., Composites Part A, Compos. Struc.等高水平期刊，他引40余次。参与国际会议4次，被ISTP收录会议论文1篇。

教育经历 2012.9 -- 2018.6南京航空航天大学 工程力学 博士研究生毕业 工学博士学位 2008.9 -- 2012.7西北工业大学 工程力学 大学本科毕业 工学学士学位 2005.9 -- 2008.6绍兴市第一中学 普通高中毕业 无学位

人工智能技术

复合材料无损检测及剩余性能预测

复合材料损伤建模

复合材料损伤建模和力学能性能预测

[1] 陶翀骢,张超,季宏丽等.On the energy release rate extraction and mixed mode behavior of fatigue cohesive model[J] [2] 陶翀骢,张超,季宏丽等.Fatigue life prediction of GFRP laminates using averaged Bayesian predictive distribution and Lamb wave velocity[J].Composites Science and Technology [3] 陶翀骢,张超,季宏丽等.Application of neural network to model stiffness degradation for composite laminates under cyclic loadings[J].Composites Science and Technology [4] 张超,张振宇,季宏丽等.Mode conversion behavior of guided wave in glass fiber reinforced polymer with fatigue damage accumulation[J].Composites Science and Technology,2020,192 代表性成果： [1] Tao C, Zhang C, Ji H, et al. Fatigue Failure probability prediction of delamination under cyclic loading in composite laminates using cohesive interface elements[J]. Engineering Fracture Mechanics, 2021, 108064. [2] Tao C, Zhang C, Ji H, et al. Fatigue damage characterization for composite laminates using deep learning and laser ultrasonic[J]. Composites Part B: Engineering, 2021, 108816. [3] Tao C, Zhang C, Ji H, et al. Application of neural network to model stiffness degradation for composite laminates under cyclic loadings[J]. Composites Science and Technology, 2021, 203: 108573. [4] Tao C, Zhang C, Ji H, et al. On the energy release rate extraction and mixed mode behavior of fatigue cohesive model[J]. Composite Structures, 2020, 239: 112038. [5] Tao C, Zhang C, Ji H, et al. Fatigue life prediction of GFRP laminates using averaged Bayesian predictive distribution and Lamb wave velocity[J]. Composites Science and Technology, 2020: 108213. [6] Tao C, Mukhopadhyay S, Zhang B, et al. An improved delamination fatigue cohesive interface model for complex three-dimensional multi-interface cases[J]. Composites Part A: Applied Science and Manufacturing, 2018, 107: 633-646. [7] Tao C, Ji H, Qiu J, et al. Characterization of fatigue damages in composite laminates using Lamb wave velocity and prediction of residual life[J]. Composite Structures, 2017, 166: 219-228. [8] Tao C, Qiu J, Yao W, et al. A novel method for fatigue delamination simulation in composite laminates[J]. Composites Science and Technology, 2016, 128: 104-115. (IF=7.094) [9] Tao C, Qiu J, Yao W, et al. The effect of drilling-induced delamination on tensile strength and prediction of residual strength of carbon fiber-reinforced polymer laminate[J]. Journal of Composite Materials, 2016, 50(24): 3373-3384.