机械工程学院
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硕导。主要从事先进复合材料结构、船舶辅机装备方面研究,包括复合材料结构强度预测的数字化方法开发、智能算法在新材料设计和检测技术中的应用、船舶装备数字化设计等。近年来,主持国家自然科学基金项目、横向项目等,并参与江苏省重点研发计划等项目。
欢迎机械、力学等专业同学报考!可与上海交通大学船舶海洋与建筑工程学院联合培养!
先进复合材料结构;船舶辅机装备
1. Xueshi Ma, Ke Xiong*, et al. Experimental researches on detection for interface debond of CFRP T-joints under tensile load. Composite Structures, 158(2016); 359-368.
2. Xueshi Ma, Ke Xiong*, et al. Numerical and experimental investigation of the interface properties and failure strength of CFRP T-Stiffeners subjected to pull-off load. Materials & Design, 185(2020).
3. Xueshi Ma, Qingda Yang*, Ke Xiong*, et al. A numerical and experimental study on the multiple fracture progression of CFRP T-Joints under pull-off load. International Journal of Mechanical Sciences, 177(2020).
4. Xueshi Ma, Ke Xiong, Qingda Yang, Liang Wang*. A nonlinear shell augmentation method for geometrically nonlinear analysis of multiple fracture in thin laminated composites. Thin-Walled Structures, 161(2021), 107433.
5. Xueshi Ma, Jia Wang, Ke Xiong*. A generalized nonlinear augmentation framework for high-fidelity fracture analysis in solids. Engineering Fracture Mechanics, 313(2025), 110660.
6. Xueshi Ma, Gangyao Wang, Jia Wang*. Dynamic phase field description on ductile fracture process. Transactions of Nanjing University of Aeronautics, 2024(5):564-574.
7. 朱闯锋, 夏新华, 马学仕*. 复合材料 T 型接头拉伸断裂行为的数值模拟. 科学技术与工程, 2021, 21(13).
8. Guangquan Niu, XueshiMa*, Liang Wang. Enhanced Neural Network System for Predicting the Shear Non-linear Behavior of Composite Materials. The 30th International Conference on Computational & Experimental Engineering and Sciences, 2024.
9. 马学仕, 熊克. 用于纤维复合材料多裂纹耦合分析的非线性增强方法. 2024年全国固体力学学术会议, 江苏南京, 2024. (口头报告)
10. Xueshi Ma, Liang Wang. A Nonlinear Augmentation Method for Multiple Cracks in Fiber Composites. The 30th International Conference on Computational & Experimental Engineering and Sciences, August 3~6, 2024, Singapore. (Presentation)
11. Xueshi Ma, Ke Xiong*. Novel Computational Researches on Damage and Failure Mechanics of CFRP T-joints under Pull-off Load. 13th World Congress in Computational Mechanics (WCCM-2018), July 22~27, 2018, New York, USA. (Presentation)
12. Xueshi Ma, Ke Xiong*. Three Dimensional Numerical Analyses on Failure Behaviorsof CFRP T-joints Subjected to Tensile Loading. 10th Asian-Australasian Conference on Composite Materials (ACCM-10), October 16~19, 2016, Busan, Korea. (Presentation)
13. Xueshi Ma, KeXiong*. Debond Characteristics and FBG Monitoring Analysis of CFRP T-joints under Tensile Load. The Franco-Chinese Symposium on Damage and Fracture of Composite Structures, July 14~17, 2015, Tarbes, France. (Presentation)
本人在卢道华教授、王佳教授团队。在国家海洋战略的背景下,团队瞄准国家深远海资源开发中最需要发展的高端装备需求,以研发无人化、恶劣海况下作业技术与装备为目标,在校内核心创新团队基础上,与南京航空航天大学、中船绿洲镇江辅机有限公司、中船重工724研究所及716研究所、江苏船舶设计研究所进行紧密分工合作构成了省域联合团队。经过十多年倾心连续创新研究,形成了鲜明的在海上机电一体化新技术与无人化高端系列装备研发方面的特色科研方向。
1. Xueshi Ma, Ke Xiong*, et al. Experimental researches on detection for interface debond of CFRP T-joints under tensile load. Composite Structures, 158(2016); 359-368.
2. Xueshi Ma, Ke Xiong*, et al. Numerical and experimental investigation of the interface properties and failure strength of CFRP T-Stiffeners subjected to pull-off load. Materials & Design, 185(2020).
3. Xueshi Ma, Qingda Yang*, Ke Xiong*, et al. A numerical and experimental study on the multiple fracture progression of CFRP T-Joints under pull-off load. International Journal of Mechanical Sciences, 177(2020).
4. Xueshi Ma, Ke Xiong, Qingda Yang, Liang Wang*. A nonlinear shell augmentation method for geometrically nonlinear analysis of multiple fracture in thin laminated composites. Thin-Walled Structures, 161(2021), 107433.
5. Xueshi Ma, Jia Wang, Ke Xiong*. A generalized nonlinear augmentation framework for high-fidelity fracture analysis in solids. Engineering Fracture Mechanics, 313(2025), 110660.
6. Xueshi Ma, Gangyao Wang, Jia Wang*. Dynamic phase field description on ductile fracture process. Transactions of Nanjing University of Aeronautics, 2024(5):564-574.
7. 朱闯锋, 夏新华, 马学仕*. 复合材料 T 型接头拉伸断裂行为的数值模拟. 科学技术与工程, 2021, 21(13).
8. Guangquan Niu, XueshiMa*, Liang Wang. Enhanced Neural Network System for Predicting the Shear Non-linear Behavior of Composite Materials. The 30th International Conference on Computational & Experimental Engineering and Sciences, 2024.
9. 马学仕, 熊克. 用于纤维复合材料多裂纹耦合分析的非线性增强方法. 2024年全国固体力学学术会议, 江苏南京, 2024. (口头报告)
10. Xueshi Ma, Liang Wang. A Nonlinear Augmentation Method for Multiple Cracks in Fiber Composites. The 30th International Conference on Computational & Experimental Engineering and Sciences, August 3~6, 2024, Singapore. (Presentation)
11. Xueshi Ma, Ke Xiong*. Novel Computational Researches on Damage and Failure Mechanics of CFRP T-joints under Pull-off Load. 13th World Congress in Computational Mechanics (WCCM-2018), July 22~27, 2018, New York, USA. (Presentation)
12. Xueshi Ma, Ke Xiong*. Three Dimensional Numerical Analyses on Failure Behaviorsof CFRP T-joints Subjected to Tensile Loading. 10th Asian-Australasian Conference on Composite Materials (ACCM-10), October 16~19, 2016, Busan, Korea. (Presentation)
13. Xueshi Ma, KeXiong*. Debond Characteristics and FBG Monitoring Analysis of CFRP T-joints under Tensile Load. The Franco-Chinese Symposium on Damage and Fracture of Composite Structures, July 14~17, 2015, Tarbes, France. (Presentation)
本人在卢道华教授、王佳教授团队。在国家海洋战略的背景下,团队瞄准国家深远海资源开发中最需要发展的高端装备需求,以研发无人化、恶劣海况下作业技术与装备为目标,在校内核心创新团队基础上,与南京航空航天大学、中船绿洲镇江辅机有限公司、中船重工724研究所及716研究所、江苏船舶设计研究所进行紧密分工合作构成了省域联合团队。经过十多年倾心连续创新研究,形成了鲜明的在海上机电一体化新技术与无人化高端系列装备研发方面的特色科研方向。
1. Xueshi Ma, Ke Xiong*, et al. Experimental researches on detection for interface debond of CFRP T-joints under tensile load. Composite Structures, 158(2016); 359-368.
2. Xueshi Ma, Ke Xiong*, et al. Numerical and experimental investigation of the interface properties and failure strength of CFRP T-Stiffeners subjected to pull-off load. Materials & Design, 185(2020).
3. Xueshi Ma, Qingda Yang*, Ke Xiong*, et al. A numerical and experimental study on the multiple fracture progression of CFRP T-Joints under pull-off load. International Journal of Mechanical Sciences, 177(2020).
4. Xueshi Ma, Ke Xiong, Qingda Yang, Liang Wang*. A nonlinear shell augmentation method for geometrically nonlinear analysis of multiple fracture in thin laminated composites. Thin-Walled Structures, 161(2021), 107433.
5. Xueshi Ma, Jia Wang, Ke Xiong*. A generalized nonlinear augmentation framework for high-fidelity fracture analysis in solids. Engineering Fracture Mechanics, 313(2025), 110660.
6. Xueshi Ma, Gangyao Wang, Jia Wang*. Dynamic phase field description on ductile fracture process. Transactions of Nanjing University of Aeronautics, 2024(5):564-574.
7. 朱闯锋, 夏新华, 马学仕*. 复合材料 T 型接头拉伸断裂行为的数值模拟. 科学技术与工程, 2021, 21(13).
8. Guangquan Niu, XueshiMa*, Liang Wang. Enhanced Neural Network System for Predicting the Shear Non-linear Behavior of Composite Materials. The 30th International Conference on Computational & Experimental Engineering and Sciences, 2024.
9. 马学仕, 熊克. 用于纤维复合材料多裂纹耦合分析的非线性增强方法. 2024年全国固体力学学术会议, 江苏南京, 2024. (口头报告)
10. Xueshi Ma, Liang Wang. A Nonlinear Augmentation Method for Multiple Cracks in Fiber Composites. The 30th International Conference on Computational & Experimental Engineering and Sciences, August 3~6, 2024, Singapore. (Presentation)
11. Xueshi Ma, Ke Xiong*. Novel Computational Researches on Damage and Failure Mechanics of CFRP T-joints under Pull-off Load. 13th World Congress in Computational Mechanics (WCCM-2018), July 22~27, 2018, New York, USA. (Presentation)
12. Xueshi Ma, Ke Xiong*. Three Dimensional Numerical Analyses on Failure Behaviorsof CFRP T-joints Subjected to Tensile Loading. 10th Asian-Australasian Conference on Composite Materials (ACCM-10), October 16~19, 2016, Busan, Korea. (Presentation)
13. Xueshi Ma, KeXiong*. Debond Characteristics and FBG Monitoring Analysis of CFRP T-joints under Tensile Load. The Franco-Chinese Symposium on Damage and Fracture of Composite Structures, July 14~17, 2015, Tarbes, France. (Presentation)
纤维复合材料动态断裂并行跨尺度分析的深度增强网络方法 国家自然科学基金青年项目(主持)
集群作业的深水自航行机器人及支持平台研制 江苏省重点研发计划项目(骨干参与)
本人在卢道华教授、王佳教授团队。在国家海洋战略的背景下,团队瞄准国家深远海资源开发中最需要发展的高端装备需求,以研发无人化、恶劣海况下作业技术与装备为目标,在校内核心创新团队基础上,与南京航空航天大学、中船绿洲镇江辅机有限公司、中船重工724研究所及716研究所、江苏船舶设计研究所进行紧密分工合作构成了省域联合团队。经过十多年倾心连续创新研究,形成了鲜明的在海上机电一体化新技术与无人化高端系列装备研发方面的特色科研方向。
2014.09-2020.07 南京航空航天大学,工程力学,博士
2016.11-2018.11 美国迈阿密大学(University of Miami),机械工程,联合培养博士
机械测试技术基础
机械人工智能技术
机械控制工程基础