陈适之 副教授

• 学院： 公路学院
• 性别： 男
• 出生年月： 1993-02-03
• 职称： 副教授
• 学位： 工学博士
• 学历： 博士研究生
• 毕业院校： 东南大学
• 联系电话：
• 电子邮箱： szchen@chd.edu.cn
• 通讯地址： 西安市二环南路中段长安大学公路学院
• 邮编： 710064
• 传真：
• 办公地址： 西安市二环南路中段长安大学交通科技大厦808
• 教育经历：

  2010.09-2014.07 同济大学 土木工程学院 本科

  
  

  2014.09-2019.11 东南大学 土木工程学院 本科直博

  
  

  2018.11-2019.11 加州大学洛杉矶分校（UCLA） 土木与环境工程系 联合培养博士
  

陈适之，男，副教授，硕士生导师，工学博士，1993年2月生，四川仪陇人。本科毕业于同济大学土木工程学院，博士毕业于东南大学土木工程学院，美国加州大学洛杉矶分校（UCLA）访问学者，于2019年12月进入长安大学工作，在公路学院桥梁工程系从事科研与教学工作。

目前主要从事桥梁安全监测与智能评估方向的研究，入选陕西省科协青年人才托举计划，发表一作通讯SCI论文20余篇，1篇论文入选美国ASCE协会三年内引用最高论文榜单，担任Intelligent Transportation Infrastructure期刊青年编委，Journal of Structural Engineering (ASCE), Mechanical System and Signal Processing, Engineering Structures, Journal of Bridge Engineering, Smart Materials and Structures，Sensors等期刊审稿人，申请发明专利7项，授权5项，软件著作权4项。

欢迎对桥梁工程、结构工程以及人工智能交叉方向科研感兴趣的同学报考！支持鼓励学生赴海外交流深造，联系邮箱：szchen@chd.edu.cn

• 美国土木工程师学会会员 (Member of American Society of Civil Engineers, ASCE)

• 美国工程力学协会会员 (Member of Engineering Mechanics Institute, EMI)

• 《Journal  of Structural Engineering》,《Mechanical System and Signal  Processing》, 《Engineering Structures》, 《Journal of Bridge Engineering》, 《Smart  Materials and Structures》，《中国公路学报》等期刊审稿人

• MDPI Topic "AI Enhanced Civil Infrastructure Safety" first guest editor

智能交通基础设施

信息详见：Researchgate

欢迎对人工智能以及相关学科交叉方向科研感兴趣的同学报考！联系邮箱：szchen@chd.edu.cn。

和国内外多位学者一同组织的MDPI topic“AI Enhanced Civil Infrastructure Safety”欢迎赐稿! 参与本次Topic的期刊包括“Remote sensing”，“Sensors”，“Applied Science”，“Buildings”，“Infrastructures”，“Materials”

结构力学（全英）    64学时  本科生

结构力学（双语）    46学时  本科生

结构有限元（双语）   32学时  本科生

桥梁结构可靠性与优化设计  32学时  研究生

1. 国家重点研发计划项目子课题，超大跨径缆索承重桥梁智能化设计软件与核心技术标准研发，主持（在研）

2. 国家自然科学基金，基于长标距FBG阵列的装配式梁桥整体性态监测评估方法研究，主持（在研）

3. 陕西省科协青年人才托举计划项目，基于光纤传感与计算机视觉融合的交通荷载精细化感知方法研究，主持（在研）

4. 陕西省自然基金青年项目，极端重载下基于宏应变测量的中小桥安全评估与监控方法研究，主持（在研）

5. 中央高校基本科研业务费优秀博士毕业生项目，基于宏应变测量的公路梁桥安全评估方法研究，主持（在研）

6. 教育部重点实验室开放课题基金,基于长标距FBG的中小桥横向联系性能评估方法研究，主持（在研）

7. 海上风电单桩基础设计软件基础静力模块编制，主持（在研）

8. 国家自然科学基金面上基金，缆索承重桥梁的冗余容错区间反演方法，参与（在研）

SCI:

·Xin-Rui Ma, Xian-Lin Wang and Shi-Zhi Chen* (2024). Trustworthy machine learning-enhanced 3D concrete printing: Predicting bond strength and designing reinforcement embedment length, Automation in Construction.

·Xiang-Yu Wang, Peng-Bin Liang, Shi-Zhi Chen*, Bi-Tao Wu (2024). Data-driven Shear Capacity Prediction of Reinforced Concrete Deep Beams with Uncertainty-aware, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

·Shi-Zhi Chen, De-Cheng Feng* and Ertugrul Taicroglu (2024). Prior knowledge‐infused neural network for efficient performance assessment of structures through few‐shot incremental learning, Computer-Aided Civil and Infrastructure Engineering.

·De-Cheng Feng, Shi-Zhi Chen* and Ertugrul Taciroglu（2024）. “Deep learning-enhanced efficient seismic analysis of structures with multi-fidelity modeling strategies,”Computer Methods in Applied Mechanics and Engineering.

·Shi-Zhi Chen, Shu-Ying Zhang, De-Cheng Feng and Ertugrul Taciroglu（2023）. “Embedding prior knowledge into data-driven structural performance prediction to extrapolate from training domains,”Journal of Engineering Mechanics.

·Shi-Zhi Chen, Qiang-Ming Zhong, Shu-Ying Zhang, Gan Yang and De-Cheng Feng（2023）. “Evaluation of Performance of Bridge Weigh-in-Motion Methods Considering Spatial Variability of Bridge Properties,”ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

·Gan Yang, Shi-Zhi Chen*, Xiang-Yu Wang and Dian Hu（2023）. “Study on data-driven identification method of hinge joint damage under moving vehicle excitation,”ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

·Qiang-Ming Zhong, Shi-Zhi Chen*, Zhen Sun and Lu-Chao Tian（2023）. “Fully automatic operational modal analysis method based on statistical rule enhanced adaptive clustering method,”Engineering Structures.

·Zhen Sun, DM Siringoringo, Shi-Zhi Chen*（2023）. “Cumulative displacement-based detection of damper malfunction in bridges using data-driven isolation forest algorithm,”Engineering Failure Analysis.

·Shi-Zhi Chen, De-Cheng Feng*, Wen-Jie Wang and Ertugrul Taciroglu（2022）. “Probabilistic machine learning methods for performance prediction of structure and infrastructures through natural gradient boosting,”Journal of Structural Engineering.

·Shi-Zhi Chen and De-Cheng Feng*（2022）. “Multi-fidelity approach for data-driven prediction models of structural behaviors with limited data,”Computer-Aided Civil and Infrastructure Engineering.

·Shi-Zhi Chen, Qiang-Ming Zhong, Shi-Tong Hou and  Gang Wu*（2022）. “Two-stage stochastic model updating method for highway bridges based on long-gauge strain sensing,”Structures.

·Bo Fu Shi-Zhi Chen, Xin-Rui Liu and De-Cheng Feng* (2021). “A probabilistic bond strength model for corroded reinforced concrete based on weighted averaging of non-fine-tuned machine learning models,” Construction and Building Materials.

·Ji-Gang Xu, Shi-Zhi Chen*, Wei-Jie Xu and Zi-Sen Shen (2021). “Concrete-to-concrete interface shear strength prediction based on explainable extreme gradient boosting approach,”Construction and Building Materials.

·Shi-Zhi Chen, De-Cheng Feng* and Zhen Sun* (2021). “Reliability-based vehicle weight limit determination for urban bridges subjected to stochastic traffic flow considering vehicle-bridge coupling,”Engineering and Structures, 247(7): 113166.

·Shi-Zhi Chen*, De-Cheng Feng, Wan-Shui Han and Gang Wu (2021). “Development of data-driven prediction model for CFRP-steel bond strength by implementing ensemble learning algorithms,”Construction and Building  Materials, 303: 124470.

·Shi-Zhi Chen*, Shu-Ying Zhang, Wan-Shui Han and Gang Wu (2021). “Ensemble learning based approach for FRP-concrete bond strength prediction,”Construction and Building Materials, 302: 124230.

·Gan Yang, Ping Wang*, Wan-Shui Han, Shi-Zhi Chen, Shu-Ying Zhang and Yang-Guang Yuan (2021). “Automatic generation of fine-grained traffic load spectrumvia fusion of weigh-in-motion and vehicle spatial–temporal information,”Computer-Aided Civil and Infrastructure Engineering, https://doi.org/10.1111/mice.12746.

·De-Cheng Feng, Shi-Zhi Chen, Mohammad Reza Azadi Kakavand and Ertugrul Taciroglu* (2021). “A probabilistic model based on Bayesian averaging for predicting the plastic hinge lengths of reinforced concrete columns,”Journal of Engineering Mechanics ASCE, 147(10), 04021066.

·Shi-Zhi Chen*, De-Cheng Feng and Wan-Shui Han (2020). “Comparative study of damage detection methods based on long-gauge FBG for highway bridges,”Sensors, 20(13): 3623.

·Shi-Zhi Chen, Gang Wu*, De-Cheng Feng, Zhun Wang and Xu-Yang Cao (2020). “Multi-cross-reference method for highway-bridge damage identification based on long-gauge fiber Bragg-grating sensors,” Journal of Bridge Engineering, 25(6): 04020023.

·Shi-Zhi Chen, Gang Wu* and De-Cheng Feng (2019). “Damage Detection of Highway Bridges Based on Long-Gauge Strain Response Under Stochastic Traffic Flow,” Mechanical Systems and Signal Processing, 127: 551-572.

·Shi-Zhi Chen, Gang Wu* and De-Cheng Feng (2019). “Development of a bridge weigh-in-motion method considering the presence of multiple vehicles,” Engineering Structures, 191: 724-739.

·Shi-Zhi Chen, Gang Wu*, De-Cheng Feng and Lu Zhang (2018). “Development of a bridge weigh-in-motion system based on long-gauge fiber bragg grating sensors,”Journal of Bridge Engineering, 23(9): 04018063.

·Shi-Zhi Chen, Gang Wu*, Tuo Xing, and De-Cheng Feng (2018). “Prestressing force monitoring method for a box girder through distributed long-gauge FBG sensors,” Smart Material and structures, 27(1): 015015.

·Shi-Zhi Chen, Gang Wu* and Tuo Xing (2017). “Deflection monitoring for a box girder based on a modified conjugate beam method,” Smart Material and structures, 26(8): 085034.

EI:

·张书颖，陈适之*，韩万水，吴刚 (2021). 基于集成学习的FRP加固混凝土梁抗弯承载力预测研究. 工程力学. doi: 10.6052/j.issn.1000-4750.2021.06.0422

·陈适之，冯德成，杨干，韩万水，吴刚* (2021). 基于宏应变曲率的桥梁式动态称重方法研究. 工程力学. doi: 10.6052/j.issn.1000-4750.2020.11.0862

·Shi-Zhi Chen, Gang Wu* and Hui-Le Li(2018). “Multi-scale finite element model updating of highway bridge based on long-gauge strain response,” 9th International Conference on Bridge Maintenance, Safety and Management, Melbourne, Australia. (EI)  

·Shizhi Chen, Gang Wu* and Bitao Wu (2017). “Simultaneous identification method of damage and vehicle parameters on bridges utilizing long-gauge strain influence line under moving vehicle loads,” Proceedings of SPIE: Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, Portland, OR. (EI)

·Wan Hong*, Shizhi Chen (2017). “Performance assessment of engineering structures based on long-gauge FBG sensors: A review,” Proceedings of SPIE: Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, Portland, OR. (EI)

 发明专利

1. 陈适之，杨干. 基于物理-数据驱动的车-桥耦合分析系统及其构建方法，发明专利，专利号：ZL202110316696.9

2. 陈适之，韩万水，冯德成，袁阳光. 一种加强型桥梁加固用支撑结构，发明专利，专利号：ZL202011306207.3

3. 陈适之，吴刚，冯德成. 一种基于多重交叉验证的桥梁损伤识别方法，发明专利，专利号：ZL201811622266.4

4. 陈适之，吴刚，冯德成. 基于分布式长标距光纤光栅传感器的桥梁式动态称重方法，发明专利，专利号：ZL201811622281.9

软件著作权

1. 桥梁模态参数全自动识别软件 v1.0

• 2022年入选"陕西省科协青年人才托举计划"

• 2020-2021学年 优秀班主任

• Journal of Bridge Engineering Most cited article "Chen SZ, et al. Development of a Bridgee Weight-in-Motion System Based on Long-Gauge Fiber Bragg Grating Sensors"
  

2019.12-2021.11： 长安大学公路学院 讲师

2021.11-至今： 长安大学公路学院 副教授（破格）、硕士生导师