谷泽文

出生年月：1990年07月

职称：特任副教授

学历：博士

Email：guzewen07@hotmail.com

办公电话：19862810875

研究领域

非线性弹簧高速动态分析；复合材料断裂分析：机器学习的工程应用

教育经历

2009年09月 - 2013年07月湖南大学本科

2016年10月- 2017年01月英国拉夫堡大学硕士

2017年12月- 2022年01月英国兰卡斯特大学博士

工作经历

2020年04月- 2022年05月英国兰卡斯特大学高级研究助

2022年10月- 至今        中国石油大学（华东）特任副教授

主要论文

[1] Gu, Z., Ding, X., Hou, X., & Ye, J*. (2023). A genetic evolved machine learning approach for 3D DEM modelling of anisotropic materials with full consideration of particulate interactions. Composites Part B: Engineering, 250, 110432.

[2] Zhao, J., Li, J., Yang, Q., Wang, X., Ding, X., Peng, G., ... & Gu, Z.* (2023). A novel paradigm of flatness prediction and optimization for strip tandem cold rolling by cloud-edge collaboration. Journal of Materials Processing Technology, 117947.

[3] Wang, X. E., Kanani, A. Y., Gu, Z., Yang, J., Ye, J., & Hou, X.* (2023). Investigation on the transitional micromechanical response of hybrid composite adhesive joints by a novel adaptive DEM model. Theoretical and Applied Fracture Mechanics, 103760.

[4] Wang, X. E., Kanani, A. Y., Gu, Z., Yang, J., Ye, J., & Hou, X.* (2022). Estimating microscale DE parameters of brittle adhesive joints using genetic expression programming. International Journal of Adhesion and Adhesives, 118, 103230.

[5] Gu, Z., Hou, X.*, Saafi, M., & Ye, J. (2022). A Novel Self‐Updating Design Method for Complex 3D Structures Using Combined Convolutional Neuron and Deep Convolutional Generative Adversarial Networks. Advanced Intelligent Systems, 4(6), 2100186.

[6] Amaechi, C. V.*, Chesterton, C., Butler, H. O., Gu, Z., & Odijie, A. C. (2022). Numerical modelling on the local design of a Marine Bonded Composite Hose (MBCH) and its helix reinforcement. Journal of Composites Science, 6(3), 79.

[7] Singh, A., Gu, Z., Hou, X., Liu, Y.*, & Hughes, D. J. (2022). Design optimisation of braided composite beams for lightweight rail structures using machine learning methods. Composite Structures, 282, 115107.

[8] Gu, Z., Hou, X., & Ye, J. (2021). Advanced static and dynamic analysis method for helical springs of non-linear geometries. Journal of Sound and Vibration, 513, 116414.

[9] Gu, Z., Hou, X.*, & Ye, J. (2021). Design and analysis method of nonlinear helical springs using a combining technique: Finite element analysis, constrained Latin hypercube sampling and genetic programming. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(22), 5917-5930.

[10] Gu, Z., Liu, Y., Hughes, D. J., Ye, J., & Hou, X.* (2021). A parametric study of adhesive bonded joints with composite material using black-box and grey-box machine learning methods: Deep neuron networks and genetic programming. Composites Part B: Engineering, 217, 108894.

[11] Liu, Y., Gu, Z., Hughes, D. J., Ye, J., & Hou, X.* (2021). Understanding mixed mode ratio of adhesively bonded joints using genetic programming (GP). Composite Structures, 258, 113389.

[12] Huang, Z., Deng, W., Du, S., Gu, Z., Long, W., & Ye, J.* (2021). Effect of rubber particles and fibers on the dynamic compressive behavior of novel ultra-lightweight cement composites: Numerical simulations and metamodeling. Composite Structures, 258, 113210.

[13] Gu, Z., Hou, X.*, Keating, E., & Ye, J. (2020). Non-linear finite element model for dynamic analysis of high-speed valve train and coil collisions. International Journal of Mechanical Sciences, 173, 105476.

研究项目

欧盟全球生态创新中心（CGE）研究项目， Static and Dynamic Analysis of Nonlinear Valve Springs Based on Finite Element Analysis and Machine Learning Algorithm，2017年10月- 2020年05月，主要研究负责人

英国智能城市现场实验室项目，Kinetic Energy Recovery from Carriageways and Energy Storage in Roadside Battery Units，2020年04月- 2022年05月，主要研究负责人

主要成果和获奖情况

2020年，英国兰卡斯特大学工程研讨大会（Postgraduate Research Conference），三等奖

2021年，英国材料、矿产和采矿研究所（Institute of Materials, Minerals & Mining，UK）机器学习研讨会（IOM3 machine learning Webninar），特邀报告

联系地址

山东省青岛市黄岛区长江西路66号，邮编266580