南京航空航天大学贝博app体育下载艾弗森主页平台管理系统 陶翀骢-贝博app体育下载艾弗森

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10余项，承担国家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30余篇，其中以第一/通讯作者发表sci收录论文20余篇，论文主要集中于compos. sci. tech., composites part a/b, compos. struc.等高水平期刊，他引500余次。参与国际会议4次，被istp收录会议论文1篇。

代表性成果：

[1]huang, chun, chongcong tao*, hongli ji*, and jinhao qiu. "impact time history reconstruction using dynamic weighted graph neural network under sensor fault situations." structural health monitoring (2025): 14759217241313177.

[2] cen, lingyao, chongcong tao*, chao zhang*, hongli ji, and jinhao qiu. "fatigue life prediction for cfrp laminates using multi-mode lamb wave velocity and bayesian model selection." ndt & e international (2025): 103326.

[3] tao chongcong, zhang chao*, ji hongli, qiu jinhao*; reconstruction and prediction of mode-i cohesive law using artificial neural network, composites science and technology, 2024, 256:110755.

[4] tao chongcong, li qian, zhang chao*, ji hongli, qiu jinhao*; application of neural fatigue cohesive element to r-dcb model with in-situ training strategy, engineering fracture mechanics, 2024, 306:110213.

[5] qiu yuqing, ji hongli*, tao chongcong*, qiu jinhao, research on the influence of impact damage on force identification for composite material, composite structures, 2024, 118595.

[6] tao c, zhang c, ji h, et al. a paris-law-informed neural fatigue cohesive model and its application to open-hole composite laminates[j], international journal of solids and structures, 2023, 112158.

[7] xu y, tao c, zhang c, et al. rapid and visualized residual strength prediction of scarf-repaired laminates using hierarchical surrogate model[j], composite structures, 2023, 116597.

[8] tao c, zhang c, ji h, et al. neural cohesive model for delamination simulation in composite laminates under cyclic loadings[j], international journal of fatigue, 2022, 107123.

[9] cen l, tao c, zhang c, et al. a dynamic criterion for failure probability prediction of gfrp laminates using lamb wave velocity with improved accuracy and consistency[j], composite structures, 2022, 115578.

[10] 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.

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