PERSONAL INTRODUCTION

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Prof. Maosen Cao

College of Mechanics and Engineering Science,Hohai University

Biography

曹茂森,二级教授,动力学与控制研究所所长、全国样板党支部支部书记。欧洲科学与艺术院院士。长期致力于力学-数学融合解决结构损伤与安全问题的研究,在水利土木结构损伤机制、健康诊断理论与算法方面做出具有国际影响的成果。发表176篇SCI论文,总影响因子超750,Google Scholar引用4200余次、H指数34,入选斯坦福大学“全球前2%顶尖科学家榜单”;授权国内外发明专利41项、英国发明专利2项;主持包括4项国家自然科学基金项目在内的30余项国家级及国际合作项目。获欧盟-中国科技创新Dragon STAR奖一等奖(排名一)、欧盟玛丽·居里学者奖、江苏友谊奖(中方团队负责人)、全国优秀博士学位论文奖,领衔获3项教育部自然科学奖。担任国际期刊Structural Durability Health Monitoring(EI,江苏省卓越期刊)主编与6个国际期刊编委、中国设备结构健康监测与预警专委会副主任委员。 曹茂森教授是中国-中东欧涉水基础设施安全与健康国际联合研究基地、“一带一路”(中东欧)江苏省外国专家工作室负责人。近十年,曹茂森教授带领团队与中东欧13个国家的科研院所,依托20余个国际合作项目,开展了重要可持续的多边科技合作,合作成果分别被中央电视台《新闻直播间》、科技日报、中国科技网、新华网等国家级媒体多次报道,对中欧学术交流与发展做出重要贡献。

Telephone Number

123345567789

Mailbox

cmszhy@126.com

Issue Number

0000-0001-6640-1905

RESEARCH INTERESTS


Long term research dedicated to the integration of mechanics and mathematics to solve structural damage and safety issues
Structural health monitoring in the field of civil engineering safety

96%

Disaster prevention and control in the field of civil engineering safety

89%

Health diagnosis of bridge structures

97%

Structural dynamic simulation

86%

Intelligent Computational Mechanics

90%

Big data analysis research

85%

Structural damage identification and safety assessment

89%

Seismic and Wind resistant Design of Civil Engineering Structures

90%

FEATURED PUBLICATIONS

PATENT

PUBLICATION COLUMN

Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices

COVID-19SARS-CoV2Laboratory indicesArtificial intelligenceArtificial neural networks
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Multi-parameter identification of concrete dam using polynomial chaos expansion and slime mould algorithm

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Embedded Ultrasonic Inspection on the Mechanical Properties of Cold Region Ice under Varying Temperatures

ice; mechanical properties; embedded ultrasonic system; varying temperature; random pore model; porosity
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Extended efficient convolutional neural network for concrete crack detection with illustrated merits

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Data-Driven Condition Assessment and Life Cycle Analysis Methods for Dynamically and Fatigue-Loaded Railway Infrastructure Components

railway noise barrier; fatigue; digital twin; monitoring; condition assessment; lifetime prediction; data-driven
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Forecasting approach of ultimate bearing capacity of underreamed anchor under local shear failure

Underreamed anchor, End resistance model, Local shear failure
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Multiscale characterization of damage in plates based on 2D Mexican wavelet

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Fractal mechanism for characterizing singularity of mode shape for damage detection

Eddy current, Ultrasonics, Modal analysis, Elastic modulus, PZT, Poisson's ratio, Numerical methods, Projective geometries, Topological properties, Vibrometer
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Detection of damage in beams using Teager energy operator

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RESEARCH TOPIC

CONTACT

Maosen Cao

Telephone Number

1234567890

Mailbox

cmszhy@126.com

Issue number

0000-0001-6640-1905