刘启明

简介

刘启明，工学博士，校聘副教授，2018年6月于湖南大学77779193永利官网获机械工程专业博士学位，2021年11月以“元光学者启航A岗”人才引进77779193永利官网工作。主要研究方向包括不确定性分析与优化、全局敏感性分析、材料本构模型参数识别、人机共融机器人可靠性设计、外骨骼机器人开发等。主持国家自然科学基金青年基金项目、中央引导地方科技项目、博士后特别资助项目等科研项目7项，作为骨干参与国家级项目6项，发表学术论文20余篇，其中大类2区以上SCI论文14篇，申请或授权发明专利10余项，多次受邀参加国际学术会议，并担任多个SCI期刊审稿人。

教育工作经历

2008-09—2012-06，湖南大学，机械设计制造及其自动化，学士

2012-09—2014-06，湖南大学，机械工程，硕士

2014-09—2018-06，湖南大学，机械工程，博士

2018-11—2021-10，77779193永利官网，电气工程学院，师资博士后

2021-11—至今，77779193永利官网，77779193永利官网，校聘副教授

研究方向

主要研究方向包括不确定性分析与优化、全局敏感性分析、材料本构模型参数识别、复杂装备可靠性设计、外骨骼机器人开发等。

研究成果

1.主持科研项目

[1] 国家自然科学基金青年基金项目，1190020966，多源不确定条件下移乘护理机器人多椭球传播分析方法与可靠性研究，2020.1-2022.12，25万，在研，主持

[2] 中国博士后基金特别资助项目，2020T130167，康复助力复合型外骨骼人机耦合系统关键问题研究，2020.05-2021.11，18 万，结题，主持

[3] 中央引导地方科技发展资金项目，216Z1803G，助力康复型外骨骼机器人仿生构型设计与系统可靠性研究，2021.03-2024.03，70 万，在研，主持

[4] 河北省自然科学基金青年基金项目，A2019202171，基于不确定性反问题理论的创伤性颅脑损伤可靠性评价准则与方法研究，2020.01-2022.12，6 万，在研，主持

[5] 中国博士后基金面上项目，2019M660963，多源不确定条件下柔性助行外骨骼机器人关键技术研究，2019.09-2021.11，8 万，结题，主持

[6] 河北省高层次人才资助项目，B2019003012，多源不确定条件下老人行走助力外骨骼共融系统的可靠性优化设计，2020.01-2021.11，3 万，结题，主持

[7] 国家重点实验室开放基金项目，31915004，基于计算反求技术的颅脑损伤预测方法研究，2019.12-2021.10，5 万，结题，主持

2.近五年内发表的代表性论著

[1] Liu Q.M, Ni T.C, Han X, et al. A generalized sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems. Computer Methods in Applied Mechanics and Engineering, 2021, 385，114009.

[2] Liu Q.M, Dai Y.X, Han X, et al. A non-probabilistic uncertainty analysis method based on ellipsoid possibility model and its applications in multi-field coupling systems. Computer Methods in Applied Mechanics and Engineering, 2021, 385, 114051.

[3] Liu Q.M, Liu J, Wu X, et al. An inverse reconstruction approach considering uncertainty and correlation for vehicle-vehicle collision accidents. Structural and Multidisciplinary Optimization, 2019, 60(2): 681-698.

[4] Liu Q.M, Wu X, Han X, et al. Sensitivity analysis and interval multi-objective optimization for an occupant restraint system considering craniocerebral injury. Journal of Mechanical Design, 2020, 142(2): 024502.

[5] Liu Q.M, Liu J, Wu X, et al. Evaluation and prediction of diffuse axonal injury based on optimization strategy in vehicle collision accidents. Structural and Multidisciplinary Optimization, 2019, 60(4): 1491-1508.

[6] Liu Q.M, Li Y, Cao L, et al. Structural design and global sensitivity analysis of the composite B-pillar with ply drop-off. Structural and Multidisciplinary Optimization, 2018, 57(3): 965-975.

[7] Liu Q.M, Liu J, Guan F, et al. Identification of the visco-hyperelastic properties of brain white matter based on the combination of inverse method and experiment. Medical & Biological Engineering & Computing, 2019, 57(5): 1109-1120.

[8] Liu Q.M, Tong N.C, Han X. A global sensitivity analysis method for multi-input multi-output system and its application in structural design. International Journal of Computational Methods, 2021, 2141005.

[9] Liu Q.M, Wu X.F, Tong N.C. Assessment and Prediction of Acute Subdural Hematomas in Vehicle Collision Accidents. International Journal of Crashworthiness, 2021, 1-16.

[10] Liu J, Liu Q.M(*), Han X, et al. A new global sensitivity measure based on derivative-integral and variance decomposition and its application in structural crashworthiness. Structural and Multidisciplinary Optimization, 2019, 60(6): 2249-2264.

[11] Chen C, Hu D.A, Liu Q.M, et al. Evaluation on the interval values of tolerance fit for the composite bolted joint. Composite Structures, 2018, 206: 628–636.

[12] Wang H, Xie H, Liu Q.M, et al. Structural topology optimization of a stamping die made from high-strength steel sheet metal based on load mapping. Structural and Multidisciplinary Optimization, 2018, 58(2): 769-784.

[13] Zhang Z.Y, Hou S.J, Liu Q.M, et al. Winding orientation optimization design of composite tubes based on quasi-static and dynamic experiments. Thin-Walled Structures, 2018, 127: 425–433.

[14] Tang J, Cao L, Fu C.M, Liu Q.M. Interval assessments of identified parameters for uncertain structures. Engineering with Computers, 2021, 1-13.

[15] Fu C.M, Jiang C, Chen G.S, Liu Q.M. An adaptive differential evolution algorithm with an aging leader and challengers mechanism. Applied Soft Computing, 2017, 57: 60-73.

[16] Chen Q, Guo S.J, Sun L, Liu Q.M, et al. IMU-based Optimization Control of a Soft Exosuit for Hip Extension and Flexion Assistance. Journal of Mechanisms and Robotics, 2021, 13(2): 1-29.

所获荣誉

学术兼职

联系邮箱：

q.m.liu@hebut.edu.cn、logemen@hebut.edu.cn

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