陈宁，机电工程系，副教授、博士生导师。

密西根大学安娜堡分校联合培养博士（机械工程）2015.11至2017.06

湖南大学 博士（机械工程） 2011.09至2017.06

湖南大学 学士（车辆工程） 2007.09至2011.06

湖南大学副教授2021.01-至今

湖南大学助理教授2017.07-2020.12

共主持及参研国家级、省部级及其企业横向科研项目30余项，其中主持15项。部分项目如下：

[1]整车集成下磁动力装置振动噪声抑制与动态可靠性评估技术，国家科技重大专项任务，2025-2028，主持

[2]基于拓扑优化的热塑性复合材料构件轻量化设计，国家重点研发计划子课题，2024-2027，主持

[3]风电轮毂仿真设计和机组CMS振动分析，中车株所产学研合作项目，2025-2026，主持

[4]AS33P/ES34/ES37算法开发及技术咨询(3项目)，上汽产学研合作项目，2024-2025，主持

[5]ADAS功能信任建立测试，上汽产学研合作项目，2024-2025，主持

[6]芯片贴装及引线缺陷检测软件，中国电科产学研合作项目，2024-2026，主持

[7]微观视觉检测技术研究及系统研发，湖南省科技创新项目，2024-2025，主持

[8]气驱动软声学超材料的不确定拓扑优化设计，国家自然科学基金面上项目，2023-2026，主持

[9]概率盒不确定复合材料结构-声场耦合系统的微结构拓扑优化方法研究，国家自然科学基金青年基金，2020-2022，主持

[10]湖湘青年英才科技创新类，湖南省创新平台与人才计划项目，2024-2027，主持

[1]Chen, L., Chen, N*., Liu, J., & Xia, B. (2026). Spatially Adaptable Mechanical Neural Networks with Multi Fully Connected Layers. International Journal of Mechanical Sciences, 111283.https://doi.org/10.1016/j.ijmecsci.2026.111283

[2]Zhang, K., Chen, N*, & Liu, J. (2025). Topology optimization for pneumatic soft acoustic metamaterial with tunable wide band gap. Composite Structures, 119864.https://doi.org/10.1016/j.compstruct.2025.119864

[3]Zhang, K., Zhang, Z., Xiao, C., Yi, C., Liu, J., & Chen, N*. (2025). Design and Uncertainty Optimization of Pneumatic Helmholtz Resonance‐Type Soft Acoustic Metamaterials. Advanced Engineering Materials, 27(18), 2500899.https://doi.org/10.1002/adem.202500899

[4]Zhang, K., Chen, N*., Liu, J., & Beer, M. (2025). Uncertainty characterization and propagation analysis for pneumatic soft acoustic metamaterial system.Mechanical Systems and Signal Processing, 232, https://doi.org/10.1016/j.ymssp.2025.112722

[5]Zhou, H., Chen, N*., Xia, B., Man, X., & Liu, J. (2025). A data-driven inverse design framework for tunable phononic crystals.Engineering Structures, 327, https://doi.org/10.1016/j.engstruct.2024.119599

[6]Zhang, J., Chen, N*., Li, M., Zhang, Y., Suo, X., Li, R., & Liu, J. (2025). LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips.Sensors, 25(2), https://doi.org/10.3390/s25020425

[7]Yi, C., Xiao, C., Liu, X., Liu, J., & Chen, N*. (2025). Design and analysis of pneumatic composite phononic crystal.Composite Structures, 354, https://doi.org/10.1016/j.compstruct.2024.118758

[8]Yi, C., Liu, X., Xiao, C., Liu, J., & Chen, N*. (2024). Soft Phononic Crystal with Tunable Bandgap Through Pneumatic Actuation. Advanced Engineering Materials, 26(24), 2401913.https://doi.org/10.1002/adem.202401913

[9]Zhang, K., Chen, N*., Zhu, W., & Liu, J. (2024). A pneumatic soft acoustic metamaterial through modular design. International Journal of Mechanical Sciences, 283, 109752.https://doi.org/10.1016/j.ijmecsci.2024.109752

[10]Li, M., Chen, N*., Hu, Z., Li, R., Yin, S., & Liu, J. (2024). A global feature interaction network (GFINet) for image segmentation of GaN chips. Advanced Engineering Informatics, 62, 102670.https://doi.org/10.1016/j.aei.2024.102670

[11]Yang, D., Chen, N*., Tang, Q., Zhang, H., & Liu, J. (2024). Research on defect detection of toy sets based on an improved U-Net. The Visual Computer, 40(2), 1095–1109.https://doi.org/10.1007/S00371-023-02834-W

[12]Rao, Z., Yang, D., Chen, N*., & Liu, J. (2024). License plate recognition system in unconstrained scenes via a new image correction scheme and improved CRNN. Expert Systems with Applications, 243, 122878–122878.https://doi.org/10.1016/J.ESWA.2023.122878

[13]Li, M., Chen, N*., Suo, X., Yin, S., & Liu, J. (2023). An efficient defect detection method for nuclear-fuel rod grooves through weakly supervised learning. Measurement, 222, 113708–113708.https://doi.org/10.1016/J.MEASUREMENT.2023.113708

[14]Liu, X., Chen, N*., Jiao, J., & Liu, J. (2023). Pneumatic soft phononic crystals with tunable band gap. International Journal of Mechanical Sciences, 240, 107906.https://doi.org/10.1016/J.IJMECSCI.2022.107906

[15]Zhang, K., Chen, N*., Liu, J., Yin, S., & Beer, M. (2023). An efficient meta-model-based method for uncertainty propagation problems involving non-parameterized probability-boxes.Reliability Engineering & System Safety, 238, 109477–109477.https://doi.org/10.1016/J.RESS.2023.109477

[16]Zhang, H., Li, H., Chen, N*., Chen, S., & Liu, J. (2022). Novel fuzzy clustering algorithm with variable multi-pixel fitting spatial information for image segmentation. Pattern Recognition, 121, 108201.https://doi.org/10.1016/J.PATCOG.2021.108201

[17]Zhang, K., Chen, N*., Liu, J., & Beer, M. (2022). A GRU-based ensemble learning method for time-variant uncertain structural response analysis. Computer Methods in Applied Mechanics and Engineering, 391, 114516.https://doi.org/10.1016/J.CMA.2021.114516

[18]Zhang, K., Chen, N*., Zeng, P., Liu, J., & Beer, M. (2022). An efficient reliability analysis method for structures with hybrid time-dependent uncertainty. Reliability Engineering & System Safety, 228, 108794.https://doi.org/10.1016/J.RESS.2022.108794

[19]Zhu, W., Hu, Y., Chen, N*., Liu, J., & Beer, M. (2021). A fuzzy and random moment-based arbitrary polynomial chaos method for response analysis of composite structural–acoustic system with multi-scale uncertainties. Applied Acoustics, 177, 107913.https://doi.org/10.1016/j.apacoust.2021.107913

[20]Chen, N., Chen, J., & Yin, S. (2021). Moment-Based Hybrid Polynomial Chaos Method for Interval and Random Uncertain Analysis of Periodical Composite Structural-Acoustic System with Multi-Scale Parameters. International Journal of Computational Methods, 18(04), 2050041.https://doi.org/10.1142/S0219876220500413

[21]Zhu, W., Chen, N*., Liu, J., & Beer, M. (2021). A probability-box-based method for propagation of multiple types of epistemic uncertainties and its application on composite structural-acoustic system. Mechanical Systems and Signal Processing, 149, 107184.https://doi.org/10.1016/J.YMSSP.2020.107184

[22]Chen, N., Xia, S., Yu, D., Liu, J., & Beer, M. (2019). Hybrid interval and random analysis for structural-acoustic systems including periodical composites and multi-scale bounded hybrid uncertain parameters. Mechanical Systems and Signal Processing, 115, 524–544.https://doi.org/10.1016/J.YMSSP.2018.06.016

[23]Chen, N., Chen, J., Liu, J., Yu, D., & Yin, H. (2019). A homogenization-based Chebyshev interval finite element method for periodical composite structural-acoustic systems with multi-scale interval parameters: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(10), 3444–3458.https://doi.org/10.1177/0954406218819030

[24]Yin, S., Chen, N., Yu, D., & Ma, Z. (2019). Microstructural topology optimization for minimizing the sound pressure level of structural–acoustic coupled systems with multi-scale random parameters. Engineering Optimization, 51(7), 1185–1206.https://doi.org/10.1080/0305215X.2018.1517259

[25]Chen, N., Xia, S., Liu, J., & Ma, Z. (2019). Microstructural topology optimization for minimizing the sound pressure level of structural-acoustic systems with multi-scale bounded hybrid uncertain parameters. Mechanical Systems and Signal Processing, 134, 106336.https://doi.org/10.1016/J.YMSSP.2019.106336

[26]Chen, N., Hu, Y., Yu, D., Liu, J., & Beer, M. (2018). A polynomial expansion approach for response analysis of periodical composite structural-acoustic problems with multi-scale mixed aleatory and epistemic uncertainties. Computer Methods in Applied Mechanics and Engineering, 342, 509–531.https://doi.org/10.1016/J.CMA.2018.08.021

[27]Zhu, W., Chen, N*., Liu, J., & Xia, S. (2018). The effective elastic properties analysis of periodic microstructure with hybrid uncertain parameters. International Journal of Mechanical Sciences, 148, 39–49.https://doi.org/10.1016/J.IJMECSCI.2018.08.018

[28]Chen, N., Yu, D., Xia, B., & Beer, M. (2018). Hybrid Uncertain Analysis for Exterior Acoustic Field Prediction with Interval Random Parameters. International Journal of Computational Methods, 15(02), 1850006.https://doi.org/10.1142/S0219876218500068

[29]Chen, N., Yin, S., Yu, D., Liu, Z., & Xia, B. (2018). An efficient epistemic uncertainty analysis method for structural-acoustic problem based on evidence theory. Noise Control Engineering Journal, 66(2), 117–130.https://doi.org/10.3397/1/376611

[30]Chen, N., Yu, D., Xia, B., Liu, J., & Ma, Z. (2017). Microstructural topology optimization of structural-acoustic coupled systems for minimizing sound pressure level. Structural and Multidisciplinary Optimization, 56(6), 1259–1270.https://doi.org/10.1007/S00158-017-1718-0

[31]Chen, N., Yu, D., Xia, B., Liu, J., & Ma, Z. (2017). Interval and subinterval homogenization-based method for determining the effective elastic properties of periodic microstructure with interval parameters. International Journal of Solids and Structures, 106, 174–182.https://doi.org/10.1016/J.IJSOLSTR.2016.11.022

[32]Chen, N., Yu, D., Xia, B., Liu, J., & Ma, Z. (2017). Homogenization-based interval analysis for structural-acoustic problem involving periodical composites and multi-scale uncertain-but-bounded parameters. Journal of the Acoustical Society of America, 141(4), 2768–2778.https://doi.org/10.1121/1.4980144

[33]Chen, N., Yu, D., Xia, B., & Beer, M. (2016). Uncertainty analysis of a structural–acoustic problem using imprecise probabilities based on p-box representations. Mechanical Systems and Signal Processing, 80, 45–57.https://doi.org/10.1016/J.YMSSP.2016.04.009

[34]Chen, N., Yu, D., Xia, B., & Ma, Z. (2016). Topology optimization of structures with interval random parameters. Computer Methods in Applied Mechanics and Engineering, 307, 300–315.https://doi.org/10.1016/J.CMA.2016.03.036

[35]Chen, N., Yu, D., & Xia, B. (2016). Unified analysis approach for the energy flow in coupled vibrating systems with two types of hybrid uncertain parameters. Mechanical Systems and Signal Processing, 70, 542–556.https://doi.org/10.1016/J.YMSSP.2015.08.009

[36]Chen, N., Yu, D., & Xia, B. (2015). Evidence-theory-based analysis for the prediction of exterior acoustic field with epistemic uncertainties. Engineering Analysis With Boundary Elements, 50, 402–411.https://doi.org/10.1016/J.ENGANABOUND.2014.09.014

[37]Chen, N., Yu, D., & Xia, B. (2014). Hybrid uncertain analysis for the prediction of exterior acoustic field with interval and random parameters. Computers & Structures, 141, 9–18.https://doi.org/10.1016/J.COMPSTRUC.2014.05.004