Jiaji Wang joined the Department of Civil Engineering at the University of Hong Kong as Assistant Professor in Jan 2023. He obtained his Ph.D. supervised by Professor Jianguo Nie at THU from the laboratory of Steel-Concrete Composite Structures and served as JSPS postdoctoral fellow at Kyoto Unviersity and postdoctoral researcher at University of Houston. Enthusiastic about applying high-fidelity computational methods in structural analysis and design, Jiaji’s researches are mainly focused on:
We are actively looking for strong and motivated students to join our group! If you are interested in working with us, please read recent papers and the position section, and email me with thoughts on extensions. Sorry, I'm afraid I generally can't respond to all individual emails.
Most recent publications on Google Scholar.
* indicates corresponding author.
Physics-informed neural operator solver and super-resolution for solid mechanics
Chawit Kaewnuratchadasorn, Jiaji Wang*, Chul-Woo Kim
computer-aided civil and infrastructure engineering, 2024
Neural operator for structural simulation and bridge health monitoring
Chawit Kaewnuratchadasorn, Jiaji Wang, Chul-Woo Kim*
computer-aided civil and infrastructure engineering, 2023
Exact Dirichlet boundary Physics-informed Neural Network EPINN for solid mechanics
Jiaji Wang, Y.L. Mo, Izzuddin, Chul-Woo Kim*
Computer Methods in Applied Mechanics and Engineering, 2023
Fracture energy-based model for average crack spacing of reinforced concrete considering size effect and concrete strength variation
Jiaji Wang, Muxuan Tao*, Xin Nie
Construction and Building Materials, 2017
Seismic behavior of Steel Plate reinforced concrete composite shear walls under tension-bending-shear combined load
Jiaji Wang, Muxuan Tao, Jiansheng Fan, Xin Nie*
ASCE Journal of Structural Engineering, 2018
Force transfer mechanism in RC beam strengthened in shear by means of steel plated concrete
Jiaji Wang, Muxuan Tao, Meng Zhou, Xin Nie*
Engineering Structures, 2018
Simplified design method for the shear capacity of steel plate shear-strengthened reinforced-concrete beams
Jiaji Wang, Meng Zhou, Jiansheng Fan, Muxuan Tao*
ASCE Journal of Bridge Engineering (Editor's choice paper for November, 2018)
Triaxial concrete constitutive model for simulation of composite plate shear wall-Concrete encased: THUC3
Jiaji Wang, Cheng Liu, Jiansheng Fan, Jerome F. Hajjar, Xin Nie*
ASCE Journal of Structural Engineering, 2019
Experimental study and design method of in-plane shear behavior of composite plate shear walls-concrete filled. Engineering Structures
Jiaji Wang, Xin Nie*, Fanmin Bu, Muxuan Tao
Engineering Structures, 2020
Nonlinear model updating algorithm for biaxial reinforced concrete constitutive models of shear walls
Jiaji Wang, Cheng Liu, Xin Nie*, Jian-Sheng Fan, Ying-Jie Zhu
Journal of Building Engineering, 2021
A Deep Learning Framework for Constitutive Modeling based on Temporal Convolutional Network
Jiaji Wang, Chen Wang*, Jian-Sheng Fan, Y.L. Mo
Journal of Computational Physics, 2022
Deep Convolutional Neural Networks for Semantic Segmentation of Cracks
Jiaji Wang, Yufei Liu, Xin Nie*, Y.L. Mo
Structural Control and Health Monitoring, 2021
Biaxial Constitutive Models for Simulation of Low Aspect Ratio Reinforced Concrete Shear Walls
Jiaji Wang, Cheng Liu, Xin Nie*, Ran Ding, Ying-Jie Zhu
ASCE Journal of Engineering Mechanics, 2022
Active isolation tests of metamaterial-based barriers and foundation
Jiaji Wang, Hsuan Wen Huang, Benchen Zhang, F.-Y. Menq, Kalyana Babu Nakshatrala, Y.L. Mo, K.H. Stokoe
Engineering Structures, 2022
Physics-informed neural operator solver and super-resolution for solid mechanics
Chawit Kaewnuratchadasorn, Jiaji Wang*, Chul-Woo Kim
computer-aided civil and infrastructure engineering, 2024
Neural operator for structural simulation and bridge health monitoring
Chawit Kaewnuratchadasorn, Jiaji Wang, Chul-Woo Kim*
computer-aided civil and infrastructure engineering, 2023
Exact Dirichlet boundary Physics-informed Neural Network EPINN for solid mechanics
Jiaji Wang, Y.L. Mo, Izzuddin, Chul-Woo Kim*
Computer Methods in Applied Mechanics and Engineering, 2023
Fracture energy-based model for average crack spacing of reinforced concrete considering size effect and concrete strength variation
Jiaji Wang, Muxuan Tao*, Xin Nie
Construction and Building Materials, 2017
Seismic behavior of Steel Plate reinforced concrete composite shear walls under tension-bending-shear combined load
Jiaji Wang, Muxuan Tao, Jiansheng Fan, Xin Nie*
ASCE Journal of Structural Engineering, 2018
Force transfer mechanism in RC beam strengthened in shear by means of steel plated concrete
Jiaji Wang, Muxuan Tao, Meng Zhou, Xin Nie*
Engineering Structures, 2018
Simplified design method for the shear capacity of steel plate shear-strengthened reinforced-concrete beams
Jiaji Wang, Meng Zhou, Jiansheng Fan, Muxuan Tao*
ASCE Journal of Bridge Engineering (Editor's choice paper for November, 2018)
Triaxial concrete constitutive model for simulation of composite plate shear wall-Concrete encased: THUC3
Jiaji Wang, Cheng Liu, Jiansheng Fan, Jerome F. Hajjar, Xin Nie*
ASCE Journal of Structural Engineering, 2019
Experimental study and design method of in-plane shear behavior of composite plate shear walls-concrete filled. Engineering Structures
Jiaji Wang, Xin Nie*, Fanmin Bu, Muxuan Tao
Engineering Structures, 2020
Nonlinear model updating algorithm for biaxial reinforced concrete constitutive models of shear walls
Jiaji Wang, Cheng Liu, Xin Nie*, Jian-Sheng Fan, Ying-Jie Zhu
Journal of Building Engineering, 2021
A Deep Learning Framework for Constitutive Modeling based on Temporal Convolutional Network
Jiaji Wang, Chen Wang*, Jian-Sheng Fan, Y.L. Mo
Journal of Computational Physics, 2022
Deep Convolutional Neural Networks for Semantic Segmentation of Cracks
Jiaji Wang, Yufei Liu, Xin Nie*, Y.L. Mo
Structural Control and Health Monitoring, 2021
Biaxial Constitutive Models for Simulation of Low Aspect Ratio Reinforced Concrete Shear Walls
Jiaji Wang, Cheng Liu, Xin Nie*, Ran Ding, Ying-Jie Zhu
ASCE Journal of Engineering Mechanics, 2022
Active isolation tests of metamaterial-based barriers and foundation
Jiaji Wang, Hsuan Wen Huang, Benchen Zhang, F.-Y. Menq, Kalyana Babu Nakshatrala, Y.L. Mo, K.H. Stokoe
Engineering Structures, 2022
Numerical calculation of effective stiffness of composite shear walls under seismic loading, 2016
16th International Conference on Computing in Civil and Building Engineering (ICCCBE)
Spatial crack model for reinforced concrete members, 2016
12th World Conference on Computational Mechanics (WCCM)
Fracture energy method in predicting crack spacing of reinforced concrete structures, 2016
9th International Conference on fracture mechanics of concrete and concrete structures (FraMCoS)
A novel concrete model for high-fidelity simulation of steel concrete composite shear wall, 2018
7th International Symposium on Innovation and Sustainability of Structures in Civil Engineering (ISISS)
A three-dimensional explicit constitutive model for high-precision simulation of concrete structures, 2018
13th World Conference on Computational Mechanics (WCCM)
Experimental study of steel plate reinforced concrete composite shear walls under tension-bending-shear combined cyclic load, 2018
9th International Conference on Advances in Steel Structures (ICASS)
Xiaoge Tian, Ph.D. student, 2023
Si Fu, Ph.D. student, 2023
Chawit Kaewnuratchadasorn, HKPFS student, 2024
Membership
ASCE associate member (American Society of Civil Engineers)
AISC member (American Institute of Steel Construction)
JSPS postdoctoral fellow (Japan Society for the Promotion of Science)
Reviewer
Engineering Structures; ASCE Journal of Engineering Mechanics; ACI Structural Journal; ACI Material Journal; Advances in Structural Engineering; Archives of Civil and Mechanical Engineering; International Journal of Concrete Structures and Materials; Structural Concrete; Structures
香港政府博士生奖学金招生——香港大学土木工程系汪家继课题组
香港政府博士生奖学金: https://cerg1.ugc.edu.hk/hkpfs/index.html > 香港大学土木系汪家继课题组招收全额奖学金的结构工程博士生。来自顶尖高校(如中国内地的C9、中国香港、美国、欧洲、日本、新加坡等)的教育部国家奖学金获奖者(或一等奖学金获奖者,First-class Honor),强烈建议申请香港博士奖学金计划(HKPFS)和香港大学校长奖学金(HKU-PS),成功入选者每年将由香港研究资助局和香港大学提供的四年合计165万港币奖学金(约合150万人民币)。香港大学将为上述获奖者确保学校舍堂住宿。未成功入选者也可享有每月1.85万港币的奖学金学费。 汪家继博士的研究领域将与近年来快速发展的机器学习方法与计算力学、结构工程、超级计算机等领域的研究相融合。汪家继博士研究方向主要包括:使用物理驱动机器学习方法求解或探索偏微分方程组,使用数据驱动机器学习方法建立工程结构的数字孪生模型,基于机器视觉和人工智能的结构智能监测技术,基于高性能计算平台开展大规模结构动力响应模拟,大型复杂钢-混凝土组合结构的模拟与设计优化,基于周期超材料的智能结构隔震减振等。博士生研究阶段将获得世界前沿的超级计算机资源。课题组与美、欧、日本等诸多前沿课题组建立了良好的合作基础。预计入学日期为2025年2月至10月。专业能力要求:在入学日期以前已完成土木工程或其他相关专业(力学,数学,计算机等)本科或以上学位。来自国内外名校的优秀本科毕业生会得到优先考虑。英语能力可参考香港大学博士生招生要求https://gradsch.hku.hk/prospective_students/application/admission_requirement > 香港大学奖学金介绍:香港大学土木工程系现有教职员工约30人。土木工程系连续多年位列QS世界大学学科排名世界前26名。土木工程系的成员积极从事智能建造、岩土、结构、交通工程以及环境的创新研究。土木工程系已经领导许多由香港研究资助委员会、政府和行业资助的大型跨学科竞争性研究项目。该系还在建筑信息学、结构工程、模块化集成建筑、环境水力学、环境工程、碳中和、岩土工程等领域拥有众多主要设施和实验室。香港大学土木工程系依托国家自然科学基金和香港地区等资助单位的项目资助,取得了大量国际前沿的研究成果,在国际上形成了广泛的影响力。诚恳欢迎对这一职位有兴趣的博士生申请人将简历、成绩单和研究陈述(包括研究经历和未来研究计划)以邮件形式发送至汪家继博士邮箱(cewang[AT]hku.hk),并注明:PhD candidate application at HKU。符合条件的申请人会得到面试通知。申请截止日期为2024年10月1日。
香港大学博士研究生申请信息:
https://gradsch.hku.hk/prospective_students/programmes/doctor_of_philosophy
https://gradsch.hku.hk/prospective_students/programmes/doctor_of_philosophy/regulations_for_the_degree_of
_doctor_of_philosophy
汪家继博士主页: https://www.civil.hku.hk/pp-wangjj.html ; https://www.researchgate.net/profile/Wang-Jiaji
Call for PhD fellowship candidate: Hong Kong Government PhD Fellowship Recruitment - Department of Civil Engineering at the University of Hong Kong, Dr. Wang Jiaji
Hong Kong Government PhD Fellowship:
Dr. Wang Jiaji, Assistant Professor in the Department of Civil Engineering at the University of Hong Kong, is recruiting one fully-funded PhD student in structural engineering. Outstanding applicants from top universities (such as C9 in Mainland China, the University of Tokyo in Japan, and the National University of Singapore) who have received national scholarships from the Ministry of Education (or first-class scholarships) are strongly encouraged to apply for the Hong Kong PhD Fellowship Scheme (HKPFS) and the Presidential Scholarship of the University of Hong Kong (HKU-PS). Successful candidates will be provided with an annual living allowance of HK$319,000 and a conference and research-related travel allowance of HK$13,000 per year by the Hong Kong Research Grants Council, with tuition fees waived. HKU will also provide additional living allowances (HK$20,000 to HK$40,000 per year) and ensure on-campus accommodation for the aforementioned awardees. Unsuccessful candidates may still be eligible for an annual scholarship of HK$18,000 and a tuition fee waiver. Dr. Wang Jiaji's research will focus on the integration of rapidly developing machine learning methods with computational mechanics, structural engineering, supercomputing, and other fields. His research areas mainly include: solving or exploring partial differential equations using physics-driven machine learning methods, establishing digital twin models of engineering structures using data-driven machine learning methods, structural health monitoring technology based on machine vision and artificial intelligence, large-scale structural dynamic response simulation based on high-performance computing platforms, simulation and design optimization of large complex steel-concrete composite structures, and intelligent structural isolation and vibration reduction based on periodic metamaterials. PhD students will have access to cutting-edge supercomputing resources during their research. Dr. Wang Jiaji has established good cooperation with many frontier research groups in the United States, Japan, and Europe. The expected enrollment date is Feb 2025 to Nov 2025.
Professional requirements: Applicants should have completed a bachelor's degree or higher in civil engineering (or structural engineering, geotechnical engineering, disaster prevention and mitigation, hydraulic engineering, transportation engineering, etc.) or other related fields (mechanics, mathematics, computer science and technology, etc.) before the enrollment date. English language requirements can be found at https://gradsch.hku.hk/prospective_students/application/admission_requirement
Introduction to scholarships at the University of Hong Kong: The Department of Civil Engineering at HKU has about 30 faculty members, over 400 undergraduate students, and over 500 graduate students. The department offers various academic programs, including bachelor's, master's, and doctoral degrees in civil engineering. The Department of Civil Engineering has been ranked in the top 20 in the QS World University Subject Rankings for several years. Members of the Department are actively engaged in innovative research and new technologies in the areas of construction engineering and management, geotechnical engineering, structural engineering, transportation engineering, and water and environmental engineering. The Department has established three research centers to promote interdisciplinary/multidisciplinary collaboration, impactful research within HKU and the faculty, including the Centre for Environmental Engineering Research, the Centre for Innovation in Construction and Infrastructure Development, and the Centre for Water Technology and Policy. The Department has led numerous large-scale interdisciplinary competitive research projects funded by the Hong Kong Research Grants Council, government, and industry. The Department also has many major facilities and laboratories in the areas of building informatics, structural engineering, modular integrated construction, environmental hydraulics, environmental engineering, carbon neutrality, geotechnical engineering, and more. In recent years, the Department of Civil Engineering at HKU has achieved a large number of internationally leading research results, supported by projects funded by the National Natural Science Foundation and the Hong Kong region, and has formed a wide range of influence internationally. The full scholarship for PhD students at HKU is HK$18,030 to HK$18,520 per month, and exceptionally outstanding PhD applicants may apply for the HKU Presidential Outstanding Doctoral Student Scholarship (with an annual funding of over HK$400,000) or other scholarship support. Interested PhD applicants are sincerely welcome to send their resumes, transcripts, and research statements (including research experience and future research plans) by email to Dr. Wang Jiaji (cewang[AT]hku.hk) with the subject line: "PhD candidate application at HKU". Qualified applicants will be notified for interviews. The application deadline is October 1, 2024. Information on PhD student applications at the University of Hong Kong:
PhD application information:
https://gradsch.hku.hk/prospective_students/programmes/doctor_of_philosophy
https://gradsch.hku.hk/prospective_students/programmes/doctor_of_philosophy/regulations_for_the_degree_of
_doctor_of_philosophy
Homepage of Jiaji Wang: https://www.civil.hku.hk/pp-wangjj.html ; https://www.researchgate.net/profile/Wang-Jiaji
智能结构工程博士后研究员(土木工程系)
申请者最好拥有结构工程、土木工程、计算力学、计算机科学或相关学科的博士学位,具有卓越的发表论文和研究项目经验。即将完成博士学位的申请者也将被考虑。理想的研究方向和论文发表方向包括物理信息深度学习、数字孪生、非线性有限元分析、数据驱动的控制方程探索、模块化建筑结构。需要优秀的写作和沟通能力,以及协作态度。研究员将进行原创性和协作性研究;撰写和合作发表期刊论文;合作进行进行中的项目并开发新的研究方案;并协助指导和培训研究生。有关该职位职责的询问应发送至汪家继博士
Post-doctoral Fellow in Intelligent Structural Engineering in the Department of Civil Engineering
Requirements: Applicants should preferably possess a Ph.D. degree in Structural Engineering, Construction Engineering; Computational Mechanics, Computer Science, or a related discipline, with an outstanding track record of publications and research project experience. Applicants who are in the process of completing a Ph.D. degree will also be considered. Desirable qualifications include physics-informed deep learning, digital twin, symbolic reinforcement learning and reasoning, data-driven discovery of governing laws, smart and resilient infrastructure. Excellent written and oral communication abilities, and a collaborative attitude are wanted. The appointee will conduct original and collaborative research; author and co-author peer-reviewed publications; collaborate in ongoing projects and develop new research proposals; and help supervise and train undergraduate and postgraduate students. Inquiries about the duties of the post should be sent to Dr. Jiaji Wang at cewang at hku dot hk