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085501机械工程(专业学位)

贾新宇

    发布日期:2023-04-12  访问量:

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一、基本情况

贾新宇,男,中共党员,机械工程学院硕士生导师,河北工业大学元光学者。2018年获欧盟玛丽居里基金资助于希腊塞萨利大学、英国谢菲尔德大学、瑞士苏黎世联邦理工大学联合攻读博士,后与澳门大学智慧城市物联网国家重点实验室从事博士后研究工作。共发表论文15篇(含中科院TOP期刊论文9篇),申请国家发明专利3项、软件著作权3项。担任期刊《Frontiers in Built Environment》编委,及《Mechanical Systems and Signal Processing》、《Expert Systems with Applications》、《Structural and Multidisciplinary Optimization》等十余个主流杂志期刊评审人。


硕导所属学科

机械工程学科

研究方向一:机械结构不确定性分析与可靠性设计

研究方向二:工业机器人动力学建模与参数辨识

研究方向三:动力学模型修正数字孪生


主持、参与的科研及教研项目情况(含获奖情况)

1. 国家自然科学基金委员会, 青年科学基金项目, 11802089, 度量空间不确定性的区间场模型及高效结构分析方法, 2019-01-01 至 2021-12-31, 22万元, 结题, 参与

2. 欧盟玛丽居里基金会, 国际, 764547, Dynamic virtualisation (DyVirt): modelling performance of engineering structures, 2018-09 至 2022-01, 2520万元, 结题, 参与


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] Xinyu Jia; Wang-ji Yan; Costas Papadimitriou; Ka-Veng Yuen; An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme, Mechanical Systems and Signal Processing, 2023, 189: 110060

[2] Xinyu Jia; Costas Papadimitriou; Hierarchical Bayesian learning framework for multi-Level modeling using multi-level data, Mechanical Systems and Signal Processing, 2022, 178: 109179

[3] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Babak Moaveni; Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features, Mechanical Systems and Signal Processing, 2022, 170: 108784

[4] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Babak Moaveni; Nonlinear model updating through a hierarchical Bayesian modeling framework, Computer Methods in Applied Mechanics and Engineering, 2022, 392: 114646

[5] Xinyu Jia; Chao Jiang; Chunming Fu; Congsi Wang; Menghao Ping; Uncertainty propagation analysis by an extended sparse grid technique, Frontiers of Mechanical Engineering, 2019, 14(1): 33-46

[6] Menghao Ping; Xinyu Jia(通讯作者); Costas Papadimitriou; Xu Han; Chao Jiang; Statistics-based Bayesian modeling framework for uncertainty quantification and propagation, Mechanical Systems and Signal Processing, 2022, 174: 109102

[7] Xinyu Jia; Costas Papadimitriou; Data features-based likelihood-informed Bayesian finite element model updating, in: Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2019: 103–113.

[8] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Babak Moaveni; Two-stage hierarchical Bayesian framework for finite element model updating, Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2020: 383-387.

[9] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Computationally efficient hierarchical Bayesian modeling framework for learning embedded model uncertainties, in: Proceedings of the International Conference on Structural Dynamic, EURODYN. 2020: 3886–3893.

[10] Xinyu Jia; Omid Sedehi; Lambros S. Katafygiotis; Babak Moaveni; Costas Papadimitriou; Hierarchical Bayesian model updating for nonlinear structures using response time histories, Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham, 2022: 91-95.

[11] Xinyu Jia; Costas Papadimitriou; Hierarchical Bayesian learning for structural damage identification, in: Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022, Sep. 4-7, 2022, Hannover, Germany.

[12] Xinyu Jia; Omid Sedehi; Costas Papadimitriou; Lambros S. Katafygiotis; Model updating and robust predictions in structural dynamics through hierarchical Bayesian modelling framework, in: Proceedings of the 13th International Conference on Structural Safety & Reliability, ICOSSAR 2021-2022, Sep. 13-17, 2022, Shanghai, China.


联系人:贾新宇 联系方式xinyujia@hebut.edu.cn


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