一、基本情况

 刘启明，男，工学博士，校聘副教授，2018 年 6 月于湖南大学 机械工程学院获机械工程专业博士学位，2021 年 11 月以“元光学者 启航 A 岗”人才引进机械工程学院工作，担任《失效 分析与预防》青年编委及 CMAME、MSSP、SMO 等多个期刊审稿人。

二、硕导所属学科

       机械工程

       研究方向一：先进设计理论与方法及高端装备可靠性 

       研究方向二：高速冲击下抗过载机理及缓冲防护设计 

       研究方向三：外骨骼机器人关键技术

三、主持、参与的科研及教研项目情况（含获奖情况）

[1] 中央军委科技委重点项目，***，400 万，在研，课题执行人

[2] 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，结题，主持 

[3] 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

[4] 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 

[5] 河北省自然科学基金青年基金项目，A2019202171，基于不 2 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，2019.01-2021.12，6 万，结题，主持

[6] 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 

[7] 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 

[8] 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

四、近年来发表代表性论文情况（仅限第一作者或通讯作者），主编 或参编的教材、专著情况，获得专利情况等

[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. 3 

[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] Tong N.C, Liu Q.M, Han X, et al. Uncertainty Analysis and Sensitivity Estimation on an Artillery External Ballistic System[J]. Journal of Mechanical Design, 2022, 144(10): 101702.

[11] 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. 

[12] 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.

[13] 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. 

[14] 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. 4 

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

[16] 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. 

[17] 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.

五、联系人：刘启明， 联系方式：q.m.liu@hebut.edu.c