邹星星

    我国即将步入基础设施“老龄化”时代，桥梁、道路、风力发电设备的低成本高效率养护问题亟待解决。针对本问题，本课题组依托学院江苏省公路智能检测与低碳养护工程研究中心和江苏省高校桥梁智能建造与安全运维重点实验室两个平台，对结构的无损检测和新材料加固技术进行研究。具体研究方向为：

1 结构界面缺陷无损检测

2 结构界面力学机理解析

毕业于密苏里科技大学获博士学位，在夏威夷大学担任博士后研究员。

英文讲授： Computational Mechanics (计算力学)

中文讲授：智能建造基础算法（含课程设计），结构设计原理（含课程设计），桥梁抗风与抗震，桥梁结构分析（研究生课程）

1.江苏省科协, 结构检测与加固，江苏省科协青年科技人才托举工程，2024-01至2025-12，主持

2.国家自然科学基金青年项目, 52208256, FRP粘贴混凝土结构界面缺陷微波热成像机理与表征方法研究，2023-01至2025-12，主持

3.江苏省自然科学基金青年项目, BK20210620, FRP-混凝土结构微波热成像机理与无损检测方法研究，2021-07至2024-06，主持

4.江苏省高校基金面上项目, 21KJB560007, 纤维增强复合材料-混凝土桥梁结构微波热成像原理与无损检测技术研究，2021-07至2024-06，主持

5.公司科技服务项目，xx锚栓设计软件开发，2023-10至2024-6，主持

6.公司科技服务项目，基于计算机视觉技术的钢箱梁涂装智能快速检测技术研究，2023-10至2024-6，主持

7.美国科学基金委项目, ECCS 1609470, A Multi-Physics-Based Approach to Active Microwave Thermography，2016-07至2020-06，参加

8.夏威夷州交通厅项目，UAV assisted detection and strengthening of corroded bridges in Hawaii（夏威夷滨海公路无人机检测与新材料加固研究）, 参加

9.广东省交通运输行业重点科技项目, 独塔混凝土斜拉桥换索全过程监检测技术研究. 2022-05至2023-10，参加

10.国家自然科学基金委, 面上项目, 51678140, FRP型材-混凝土板桁组合梁节点连接静力失效与疲劳断裂机理研究，2017-01至2020-12，参加

代表性期刊论文

方向一：结构界面 – 检测与智能算法

[1]. Zou X*, Li M, Xu H, et al. (2025). Array infrared thermography for visualization of defects in bonded fiber reinforced polymer joints. Composites Science and Technology, 259, 110930.

[2]. Zou X*, Wang L, Wang J, et al. (2022). Nondestructive evaluation of carbon fiber reinforced polymer (CFRP)-steel interfacial debonding using eddy current thermography. Composite Structures, 284: 115133

[3]. Zou X, Mirala A, Sneed LH*, et al. (2023). Debonding detection of defected CFRP-concrete interface using microwave thermography. Composite Structures, 310:116753

[4]. Zou X, Mirala A, Sneed LH*, et al. (2021). Detection of CFRP-concrete interfacial debonding with man-made defects using active microwave thermography. Composite Structures, 260:113261

[5]. Li M, Wang L, Zou X*. (2024). Nondestructive evaluation of carbon fiber reinforced polymer (CFRP)-timber interfacial debonding using active microwave thermography (AMT). Construction and Building Materials: 135786

[6]. Zhang F, Wang C, Liu J, Zou X*, et al. (2023). Prediction of FRP-concrete interfacial bond strength based on machine learning. Engineering Structures, 204: 115156 (ESI高被引论文)

[7]. Wang C, Zou X*, et al. (2023). Shear strength prediction of FRP-strengthened concrete beams using interpretable machine learning. Construction and Building Materials, 407, 133553.

[8]. Xu H, Zou X*, et al. (Under review, Revised). Prediction of flexural bearing capacity of FRP reinforced concrete beams based on the combination of Shapley interpretation and machine learning. Engineering Applications of Artificial Intelligence.

[9]. 邹星星, 马浩, 解社娟, 仝宗飞, 胡黎俐, 王辰昕, 王立彬*. (2022). 纤维增强树脂复合材料-钢界面缺陷涡流热成像检测. 复合材料学报, 40 (0): 1-9

[10]. Zou X*, Li M, Ma H, Li J. (Under review). Scanning eddy current thermography for inspection of FRP-steel interfacial defects. Journal of Civil Structural Health Monitoring.

[11]. Zou X*, Jin F, Ma H, et al. (Under review). Intelligent visualization and automated classification of defected paint and rusted steel by eddy current thermography scanning technique. Automation in Construction.

[12]. Zou X*, Xu H, Jin F, Li M. (Under review). Visualization of carbon fiber reinforced polymer (CFRP)-concrete interfacial debonding using active microwave thermography (AMT). NDT&E International.

[13]. Zou X*, Lu J, Li M. (Under review). Inspection of fiber reinforced polymer-timber interfacial debonding using scanning active microwave thermography. Composite Structures.

[14]. Li M, Zou X*, Sneed LH. (Under review). Inspection of defects in bonded fiber reinforced polymer joints by scanning active microwave thermography. Composite Structures.

[15]. Zou X*, Zhang C, et al. (Under review). Visualize of spherical-cap debonding gaps of concrete filled steel tubes using scanning eddy current thermography. Journal of Steel and Composite Structures.

[16]. Zou X*, Zhang C, et al. (Under review). Review of defected concrete filled steel tubular: mechanics, inspection and repairing. Engineering Structures.

[17]. Wang C, Zou X*, et al. (Under review). Prediction of shear strength of FRP-strengthened concrete beams based on physics guided machine learning. Computers and Structures.

[18]. Wang C, Zou X*, et al. (Under review). Prediction of FRP-concrete interfacial bond strength using an interpretable machine learning model tuned by sparrow search algorithm (SSA). Knowledge-based Systems.

[19]. Zou X*, Wang J, et al. (Under review). Array infrared thermography for detection of FRP-metal interfacial defects. Composites Part B.

[20]. Zou X*, Jin F, et al. (Under review). Cool thermography: a fast detection method of defects using liquid nitrogen as a stimulus. NDT&E International.

方向二：结构界面 – 试验与力学解析

[1]. Zou X, Feng P, Wang J*. (2018). Bolted Shear Connection of FRP-Concrete Hybrid Beams. Journal of Composites for Construction @ ASCE, 22(3): 04018012.

[2]. Zou X, Sneed LH*, D'Antino T, Christian C. (2019). Analytical Bond-Slip Model for Fiber Reinforced Cementitious Matrix (FRCM)-Concrete Joints Based on Strain Profile Measurements. Journal of Materials in Civil Engineering @ ASCE, 31(11): 04019247.

[3]. Zou X, Moore C, Sneed LH*. (2021). Investigation on End-Anchorage of SRG Composites Externally Bonded to a Concrete Substrate. ACI Special Publication, ACI SP 345. 2021.

[4]. Zou X, Sneed LH*, D'Antino T. (2020). Full-range behavior of fiber reinforced cementitious matrix (FRCM)-concrete joints using a trilinear bond-slip relationship. Composite Structures, 239: 112024.

[5]. Zou X, Feng P*, Wang J, et al. (2018). FRP stay-in-place form and shear key connection for FRP-concrete hybrid beams/decks. Composite Structures, 192: 489-499.

[6]. Zou X, Wang J*. (2018). Experimental study on joints and flexural behavior of FRP truss-UHPC hybrid bridge. Composite Structures, 203: 414-424.

[7]. Zou X, Feng P, Wang J*. (2016). Perforated FRP ribs for shear connecting of FRP-concrete hybrid beams/decks. Composite Structures, 152: 267-276.

[8]. Zou X, Lin H, Feng P*, et al. (2021). Review on FRP-concrete hybrid sections for bridge applications. Composite Structures, 262: 113336. (ESI高被引论文)

[9]. Zou X, D'Antino T, Sneed LH*. (2021). Investigation of the bond behavior of the fiber reinforced composite-concrete interface using the finite difference method (FDM). Composite Structures, 278: 114643

[10]. Zou X, D'Antino T, Sneed LH*. (2023). Analytical study of the bond behavior of fiber reinforced cementitious matrix (FRCM)-substrate joints based on a two-stage cohesive material law. Composite Structures, 304: 116457

[11]. Zou X, Feng P, Bao Y, Wang J*. (2020). Experimental and analytical studies on shear behaviors of FRP-concrete composite sections. Engineering Structures, 215: 110649

[12]. Duan M, Zou X*, Bao Y, et al. (2022). Experimental investigation of headed studs in steel-ultra-high performance concrete (UHPC) composite sections. Engineering Structures, 270: 114875

[13]. Zhang P, Qi Y, Zou X*, et al. (2023). Prefabricated FRP-concrete hybrid beam with in-situ-cast UHPC pockets. Thin-walled Structures, 185: 110616.

[14]. Zou X, Keenan LM, Sneed LH*. (2023). Investigation of a spike-shaped anchorage for steel fiber reinforced polymers (SRP) strengthened concrete structures. Construction and Building Materials, 389: 131710.

[15]. Zou X, Feng Y, Zhong R*, et al. (2023). An Experimental Study of FRP Truss Side Plate Joint. Construction and Building Materials. 365: 130012

[16]. Zhang P, Li Q, Zou X* et al. (2021). Experimental investigation of shear behavior of FRP-UHPC hybrid beams. Construction and Building Materials, 286: 122720

[17]. Zou X, Sneed LH*. (2020). Bond behavior of steel fiber reinforced polymers (SRP)-concrete joints. International Journal of Concrete Structures and Materials, 14(1): 1-17.

[18]. 邹星星, 陈军, 姜慧, 王景全*. (2016). 高抗剪强度 FRP 型材组合梁成型工艺及试验研究. 土木工程学报, 49(4): 40-47.

[19]. Zou X*, et al. (Under review). How defects affect FRP-concrete interfacial performance: a finite difference method (FDM) method. Journal of Composites for Construction @ ASCE.

[20]. Zou X*. (Under review). Inverse determination of cohesive material law from multi-source test data of direct shear test using physics informed neural network. Engineering Structures.

邮箱：civilzou@126.com

          civilzou@njfu.edu.cn

欢迎有计算机编程、数学建模经验的学生加入课题组。