张明阳

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学位：博士
职称：助理教授

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科研工作

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研究方向及兴趣

混凝土结构耐久性，混凝土断裂相场模拟理论，滨海混凝土结构长期性能演化与可靠性评估

纵向项目

广东省自然科学基金,滨海绿色混凝土结构锈胀开裂行为的离散元-有限元耦合分析理论,在研.
国家自然科学基金,(52208197),钢筋混凝土结构三维随机锈裂行为的相场模拟理论,在研.
深圳大学青年教师科研启动经费,(000001032223),长期荷载与环境共同作用下钢筋混凝土构件承载力退化规律研究,在研.
上海市科学技术委员会,(21YF1449300),基于随机介质的钢筋混凝土结构锈胀开裂行为研究,结题.

期刊论文

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Mingyang Zhang, Xuejing Wang and Yaohan Li, Fatigue Reliability Assessment of Bridges Under Heavy Traffic Loading Scenario,Infrastructures, 2024, 9(12), 238,2024-12-01.
Xuejing Wang, Xin Ruan, Joan R. Casas, Mingyang Zhang, Probabilistic Modeling of Congested Traffic Scenarios on Long-Span Bridges,Applied Sciences, 14(20), 9525,2024-10-01.
Xuejing Wang, Xin Ruan, Joan R. Casas, Mingyang Zhang, Extreme response to traffic of long-span cable-stayed bridges: Comparison with existing traffic load models,Structure and Infrastructure Engineering,.
Xuejing Wang, Xin Ruan, Joan R. Casas, Mingyang Zhang, Probabilistic model of traffic scenarios for extreme load effects in long-span bridges,Structural Safety, 106, 102382,2023-09-01.

会议论文

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Xuejing Wang, Xin Ruan, Joan R. Casas, Mingyang Zhang. Influence of the correlation of GVWs in the simulation of vehicle spatial distribution of extreme effects in long-span bridges. 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS2024), Copenhagen, Denmark, June 24-28, 2024,,.
Mingyang Zhang, Weilun Wang. U-Net model-based XCT images segmentation for steel corrosion in concrete. 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS2024), Copenhagen, Denmark, June 24-28, 2024,,.
Mingyang Zhang. Machine Learning-based Probabilistic Estimation of Flexural Loading Capacity of Corroded RC Structures Using Crack Width Distribution. The 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2024) the 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2024) April 25-27, 2024, Shanghai, China,,.
Mina Shintani, Mitsuyoshi Akiyama, Mingyang Zhang, Jiyu Xin, Probabilistic estimation of structural capacity of corroded RC beams using inspection information and machine learning techniques. Paper ID = 0094, Proceeding of the 13th International Conference on Structural Safety & Reliability (ICOSSAR 2021-2022), Shanghai, China,,.

软件著作权登记

LabelXpert软件V1.0，2024SR1542022