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麻胜兰，福建龙岩人，工学博士，校聘教授。主要从事人工智能与土木工程的交叉应用、结构健康监测与诊断加固、智能建造等。现任福建理工大学土木工程学院院长助理、防灾减灾工程研究所所长，兼任中国建筑学会工程诊治与运维分会理事、福建省土木建筑学会常务理事。近5年承担纵向科研项目3项：国家自然科学基金青年项目、中国博士后项目和福建省自然科学基金；承接企业委托项目2项，单项到账经费达100万元。已发表论文48篇，其中SCI论文30篇，EI论文5篇。作为核心成员获福建省科技进步一等奖、二等奖。

主持项目：

[1]     国家自然科学基金青年项目，基于深度卷积神经网络的稀疏信号重构与结构损伤识别方法研究，2019.01-2021.12，主持

[2]   中国博士后科学基金会面上二等资助，基于深度学习的古建木结构损伤识别研究，2020-10-2022-10，主持

[3]     福建省自然科学基金青年项目，基于压电智能骨料的水下不分散混凝土柱早期强度监测与损伤评估，2020-10- 2023-12，主持

[4]     企业委托课题，混凝土缺陷检测关键技术研究，2022-10-2025-03，主持

[5]     企业委托课题，基于卷积神经网络的木结构安全评定关键技术，2022-09-2025-09，主持

所获奖项：

[1]     土木工程高难度施工数字化监控关键技术及应用，福建省科技进步一等奖，2022年

[2]     面向多目标性能提升需求的混凝土桥梁数字化运维体系及关键技术，福建省科技进步一等奖，2025年

[3]     大型公共建筑的结构安全监测与评估关键技术及应用，福建省科技进步二等奖，2019年

[4]     混凝土坝施工-服役全过程质量安全数字化评价关键技术及应用, 福建水利科学技术奖,2023年

[5]     数智引领·学科融通·校企共治：土木工程专业改革的福工模式，福建省教学成果特等奖，2025年

[6]     科技教育服务区域经济发展：理工类地方高校研究生培养探索与实践，福建省教学成果一等奖，2025年

[7]     面向新工科的“一根本・两空间・三思维・四课堂”抗震课程模式创新与实践, 福建省教学成果特等奖，2022年

[8]     德智相融：“工程结构防灾减灾课程群”教学范式的创新与实践，福建省教学成果二等奖，2020年

 指导的学生获奖情况：

        [1]      指导的2022级、2023级学生获国家研究生奖学金

  [2]     学生作品“固桥护途——混凝土桥梁病损智能诊断与性能高效提升一体化系统”获第十九届“挑战杯”全国大学生课外学术科技作品竞赛二等奖

代表性论著：

[1]  Miaoyu Xu, Shenglan Ma（麻胜兰）*, Chen Wu, et al. Robust finite element model updating framework for cable-net structures during construction using fusion neural network with convolutional neural networks and self-attention mechanisms. Computers & Structures, 2026, 325:108199.

[2]  Shenglan Ma（麻胜兰）, Ying Zhang, Chen Wu, et al. Maximum probabilistic damage imaging using cross-correlation coefficient-based stress waves for quantifying concrete cracks, Nondestructive Testing and Evaluation, 2026.

[3]  Shenglan Ma（麻胜兰）,Qiaoqi Gao, Chen Wu, et al. Flexural behavior of reinforced concrete beams retrofitted with ambient-cured ultra-high-performance concrete combined with steel wire mesh: Experiments, numerical simulations, and theoretical analysis. Structural Concrete, 2025, 26(6):8628-8645.

[4]  Shenglan Ma（麻胜兰）,Qiaoqi Gao, Chen Wu, et al. Early warning of damaged interface connections in fabricated structures using novel acoustic emission Ib values. Measurement, 2025,252:117382.

[5]  Shenglan Ma（麻胜兰）^*, Miaoyu Xu, Chen Wu, et al. Two-dimensional convolutional neural network and transfer learning-based multi-stage structural damage quantification using vibration data. Structure and infrastructure engineering, 2025.

[6]     Shenglan Ma（麻胜兰）^*, Shengnan Li, Chen Wu, et al. Crack detection and damage evaluation of asymmetrical steel-reinforced concrete frame nodes using acoustic emission technology [J]. Nondestructive Testing and Evaluation, 2025, 41(2):871-895.

[7]     麻胜兰,钟建坤,刘昱昊,等.基于二维卷积神经网络的结构加速度数据异常检测研究[J].建筑科学与工程学报,2025,42(01):112-120.

[8]     Chen Wu, Shengtao Lin, Shenglan Ma（麻胜兰）*, et al. Fatigue behavior, damage evolution and enhancement mechanism of RC beams retrofitted with ambient-cured UHPC and steel wire mesh, Construction and building materials, 2025,468:140351

[9]     Shenglan Ma（麻胜兰）^*, Miaoyu Xu, Chen Wu, et al. Experimental study on bending fatigue performance of ambient-cured ultra-high-performance concrete thin plate with embedded steel wire mesh [J]. Construction and Building Materials, 2024, 449.

[10]     Shenglan Ma（麻胜兰）^*, Shurong Ren, Chen Wu, et al. Damage identification of non-dispersible underwater concrete columns under compression using impedance technique and stress-wave propagation [J]. Journal of Civil Structural Health Monitoring, 2024, 14(7): 1651-65.

[11]     Shenglan Ma（麻胜兰）^*, Shengnan Li, Chen Wu, et al. Crack detection and damage evaluation of asymmetrical steel-reinforced concrete frame nodes using acoustic emission technology [J]. Nondestructive Testing and Evaluation, 2025, 41(2):871-895.

[12]     Ying Zhang , Shenglan Ma（麻胜兰）^*, Chen Wu .Experimental and numerical studies on axial compression performance of low-porosity non-dispersive underwater concrete columns [J].Construction and Building Materials,2024,451:138775.

[13]     Shenglan Ma（麻胜兰）^*, Zhibin Huang, Chen Wu, et al. Flexural behavior and load-bearing capacity calculation methodology for wooden beams strengthened using aluminum plates attached with self-tapping screws[J]. Wood Material Science & Engineering, 2024, 19(5):1130-1142.

[14]     麻胜兰^*,陈志宁,邵顺安,等.基于声发射多参数耦合的木材裂缝检测方法[J].建筑结构,2024,54(02):136-144.

[15]     Wu Chen, Xiaofe Xiao, Shenglan Ma（麻胜兰）^*, C. Yang, Mechanical performance and failure mode judgment criteria of grouted sleeve connectors considering large deformation and grouting compactness, Case Stud. Constr. Mater. 21 (2024) e3997

[16]  Shenglan Ma（麻胜兰）, Shurong Ren, Zhining Chen, et al. Wooden beam damage evaluation under bending loading based on the integration of acoustic emission and principal component analysis[J]. Measurement, 2023, 222.

[17]  Shenglan Ma（麻胜兰）, Shaofei Jiang, Jun Li. Structural damage detection considering sensor performance degradation and measurement noise effect[J]. Measurement, 2019, 131, 431-442. 

[18]  Shenglan Ma（麻胜兰）, Yuhao Liu, Shaofei Jiang. Structural performance assessment by acceleration measurements based on null space method and fast independent component analysis for the frame-shear wall structure under earthquake wave[J], Journal of Civil Structural Health Monitoring, 2022, 12(5): 1027-1041.

 授权专利：

       [1]  麻胜兰，钟建坤. 基于二维卷积神经网络的结构加速度数据异常检测方法，ZL202311021638.9，2026.03.31

       [2]  麻胜兰，念泽宏，徐妙宇，融合卷积与自注意力机制的结构特征提取与模型修正系统, ZL202511565967.9,2026.02.24

       [3]  高巧旗，麻胜兰，吴琛，等. 一种基于声发射与深度学习的结构疲劳损伤识别方法，ZL202510800307.8,2025.08.19

       [4]  麻胜兰，张峰，郭晓，等. 一种基于声发射多参数耦合的木材裂缝深度检测方法，ZL202310242565.X，2025.08.26