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个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
毕业院校：东亚大学
学位：博士
所在单位：机械工程学院
学科：机械设计及理论
办公地点：大方楼8021#
电子邮箱：sxg@dlut.edu.cn
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- [1]王一棠, 刘富文, 杨亮亮, 庞勇, 宋学官.Bi-fidelity surrogate modeling via scaled correlation construction and penalty minimization[J],STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION,2024,67(10)
- [2]韩忠华, 龙腾, 宋学官, 张科施.飞行器多学科优化设计研究现状与展望[J],2024,2(4):26-57
- [3]刘富文, 龚壮壮, 马新奥, Zhang, Yanfeng, 宋学官.Based on the combination of fluid-solid interaction mechanism model and surrogate model for peris...[J],ADVANCED ENGINEERING INFORMATICS,2024,62
- [4]何西旺, 杨亮亮, 庞勇, 阚子云, 宋学官.PSDM: A parametrized structural dynamic modeling method based on digital twin for performance pre...[J],ENGINEERING STRUCTURES,2024,316
- [5]Guo, Junlang, 宋学官, Liu, Qiang, Wang, Lihui, Leng, Jiewu, Zhao, Leon, Zhou, Xueliang, Yuan, Yu, Lu, Yuqian, Mourtzis, Dimitris, Qi, Qinglin, Huang, Sihan.Industrial metaverse towards Industry 5.0: Connotation, architecture, enablers, and challenges[J],JOURNAL OF MANUFACTURING SYSTEMS,2024,76:25-42
- [6]Zhang, Shuai, 庞勇, 李清野, 李昆鹏, 宋学官.Multi-type data fusion via transfer learning surrogate modeling and its engineering application[J],Information Sciences,2024,677
- [7]张帅, 庞勇, 刘富文, 王沐晨, 阚子云, 宋学官.Random projection enhancement: A Novel method for improving performance of surrogate models[J],SWARM AND EVOLUTIONARY COMPUTATION,2024,89
- [8]柳宗琦, 宋学官, 杨洁, 张超, Tao, Dacheng.Generative adversarial networks for multi-fidelity matrix completion with massive missing entries[J],INFORMATION FUSION,2024,111
- [9]李海洋, 易龙腾, 冷初阳, 钟雅涵, 洪嘉祺, 宋学官, Hao, Guangbo.Design of a Three-Axis Force Sensor Using Decoupled Compliant Parallel Mechanisms[J],IEEE Sensors Journal,2024,24(15):23585-23598
- [10]鄢来强, 马新奥, 苗欣雨, 庞勇, Wang, Y., 宋学官.Numerical investigation and rapid prediction of the erosion rate of gate valve in gas-solid flow[J],POWDER TECHNOLOGY,2024,448
- [11]阚子云, 彭海军, 宋学官.轻质绳索系统中的关键力学分析问题研究[A],第七届多体系统动力学青年学者学术研讨会,2024,28
- [12]庞勇, 来孝楠, 王一棠, 杨亮亮, Zhang, Shuai, 宋学官.A Kriging-assisted global reliability-based design optimization algorithm with a reliability-cons...[J],Applied Mathematical Modelling,121:611-630
- [13]Lan, Haibing, Xing, Lei, 宋学官, Yang, Linlin.A novel flow field design method for HT-PEM fuel cells: a hybrid topology and surrogate model[J],International Journal of Hydrogen Energy,2024
- [14]王一棠, 庞勇, 薛天航, Zhang, Shuai, 宋学官.Ensemble learning based hierarchical surrogate model for multi-fidelity information fusion[J],Advanced Engineering Informatics,2024,60
- [15]庞勇, 王一棠, 何西旺, Lai, Xiaonan, Zhang, Shuai, 宋学官.Surrogate-Assisted Expensive Constrained Bi-Objective Optimization with Extremely Heterogeneous E...[J],SSRN,2024
- [16]李万洋, saleheen kazi mojtaba, 刘焕强, 张应中, 刘伟嵬, Xia, Yong, Al-Hammadi, Gamal, 薛林, Wang, Fengtao, 宋学官.Research and prospect of on-line monitoring technology for laser additive manufacturing[J],International Journal of Advanced Manufacturing Technology,125(1-2):25-46
- [17]Zhang, Shuai, 梁朋伟, 李建基, 宋学官.GAS-AU: an average uncertainty-based general adaptive sampling approach[J],Engineering with Computers,2024
- [18]Fu, Tao, 吕一林, Zhang, Tianci, 宋学官, Li, Guang, Yue, Haifeng.Digital twin-based excavation trajectory generation of Uncrewed excavators for autonomous mining[J],Automation in Construction,2024,151
- [19]宗超勇, 李清野, 薛天航, Shi, Maolin, 宋学官, Li, Xiaofeng, Chen, Dianjing.Sealing design optimization of nuclear pressure relief valves based on the polynomial chaos expan...[J],NUCLEAR ENGINEERING AND TECHNOLOGY,2024,55(4):1382-1399
- [20]杨亮亮, 何西旺, 张超, 来孝楠, 李建基, 宋学官.Crack identification driven by the fusion of mechanism and data for the Variable-Cross-Section ca...[J],Mechanical Systems and Signal Processing,196