代表性成果
代表性论文：
1.Yaxu Wang,Jiwen Wang, Ruirui Wang, et al. TBM penetration rate prediction ensemble model based on full-scale linear cutting test, Tunneling and Underground Space Technology, 131 (2023) 104794.
2.Yaxu Wang,Xuechi Gao, Peng Jiang, et al. An extreme gradient boosting technique to estimate TBM penetration rate and prediction platform, Bulletin of Engineering Geology and the Environment, (2022) 81:58.
3.Yaxu Wang,Ruirui Wang, Jiwen Wang, et al. A Rock Mass Strength Prediction Method Integrating Wave Velocity and Operational Parameters Based on the Bayesian Optimization Catboost Algorithm, KSCE Journal of Civil Engineering, 2023: 1-15.
4.Yaxu Wang,Bin Liu*, Jiwen Wang, et al. Analysis of quartz content in muck based on artificial intelligence algorithms and laser-induced breakdown spectroscopy in TBM tunneling, Bulletin of Engineering Geology and the Environment, 2024.8.
5.Peng Jiang, Shaojie Wang, Weimin Yang, Antai Chen,Yaxu Wang*, Deep Learning-Based Rock Muck Detection on Point Clouds During TBM Excavation, IEEE Sensors Journal, Accept.
6.Bin Liu*,Yaxu Wang, Guangzu Zhao, et al. Intelligent decision method for main control parameters of tunnel boring machine based on multi-objective optimization of excavation efficiency and cost, Tunnelling and Underground Space Technology, 116 (2021) 104054.
7.Ruirui Wang,Yaxu Wang, et al. A TBM Cutter Life Prediction Method Based on Rock Mass Classification, KSCE Journal of Civil Engineering, 2020, 24(9).
8.Qian Guo, Benchao Liu,Yaxu Wang, et al. A Deep Learning Inversion Method for 3-D Electrical Resistivity Tomography Based on Neighborhood Feature Extraction, IEEE Sensors Journal, 2023
9.Bin Liu*, Jiwen Wang, Ruirui Wang,Yaxu Wang, et al. Intelligent decision-making method of TBM operating parameters based on multiple constraints and objective optimization, Journal of Rock Mechanics and Geotechnical Engineering, 15(2023) 2842-2856
发明专利：
[1]刘斌,王亚旭,赵光祖,王瑞睿,杨磊,王滨.基于掘进速度与刀具消耗最优的TBM操作参数优化方法[P].发明专利, ZL 202011062001.0
[2]刘斌,王亚旭,王瑞睿,郭旭,高博洋,朱颜,赵光祖.一种TBM岩渣射线透射成像CT实时扫描成像装置及方法[P].发明专利, ZL 201910734742.X
[3]刘斌,王亚旭,郭旭,王瑞睿,高博洋,朱颜,赵光祖.一种TBM渣片射线背散射实时扫描成像装置及方法[P].发明专利, ZL 202010767440.5
[4]刘斌,高博洋,王亚旭,王瑞睿,郭旭,赵光祖,朱颜,王滨,岳景杭.一种TBM搭载的岩渣在线抗压强度测试系统及方法[P].发明专利, ZL 201910980078.7
[5]刘斌,朱颜,王亚旭,王瑞睿,高博洋,赵光祖,王滨.基于深度学习的TBM操作参数决策方法及系统[P].发明专利, ZL 201911330197.4
[6]刘斌,朱颜,王亚旭,王瑞睿,高博洋,王滨,赵光祖.基于掘进速度和破碎比能最优的TBM操作参数优化方法[P].发明专利, ZL 202011062081.X
[7]刘斌,王瑞睿,王亚旭,杨磊,赵光祖.考虑刀盘振动与岩渣几何信息的TBM操作参数优化方法[P].发明专利, ZL 202011065664.8
[8]刘斌,王瑞睿,蒋鹏,王亚旭,朱颜.基于物理约束与数据挖掘的TBM岩机映射构建方法及系统[P].发明专利, ZL 202110400495.7
[9]刘斌,李术才,王瑞睿,王亚旭.适用于多种岩体条件的TBM操作参数优化方法及系统[P].发明专利, ZL 202110400488.7
[10]刘斌,王纪文,国凯,孟庆阳,王亚旭,张波.适用于TBM搭载的渣片点荷载强度自动测试系统及方法[P].发明专利, ZL 202111371624.0
获奖：
[1]获2023年度山东省研究生创新成果奖
[2]获2023年度山东大学研究生优秀成果奖
[3]获2022年度山东大学国家奖学金
[4]获第七届中国国际“互联网+”大学生创新创业大赛银奖
