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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learningstate of a steel frame; the input was a series of vibration signals, and the output was a structuralstate.It is demonstrated that: 1) the CNN can extract the structural state information from the vibration signalsand classify them; 2) the detection and computational performance of the CNN for the incomplete data

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 907-929 doi: 10.1007/s11709-020-0628-1

Abstract: In this study, the performance of an efficient two-stage methodology which is applied in a damage detectionFurthermore, the effect of noise in the measurement of structural responses by the sensors has also been

Keywords： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

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Modeling considerations in seismic assessment of RC bridges using state-of-practice structural analysis

Ricardo MONTEIRO, Miguel ARAÚJO, Raimundo DELGADO, Mário MARQUES

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 109-124 doi: 10.1007/s11709-017-0389-7

Abstract: to contribute to this need by providing further insight with respect to the use of commonly employed structuralThe adopted structural analysis program proved to be accurate, yielding reliable estimates, both in termsof local plastic hinge behavior and global structural behavior.

Keywords： nonlinear analysis     pushover     RC bridges     structural modelling software    

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Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 356-368 doi: 10.1007/s11709-013-0220-z

Abstract: The concept of structural robustness and relevant design guidelines have been in existence in the progressiveapartment building; however, in the more general context, research on the evaluation and enhancement of structuralThis paper is aimed to provide a general overview of the current state of research concerning structural

Keywords： structural robustness     abnormal exposure     vulnerability     collapse     consequence    

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Crack detection for wading-concrete structures using water irrigation and electric heating

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 368-377 doi: 10.1007/s11709-022-0926-x

Abstract: Cracking in wading-concrete structures has a worse impact on structural safety compared with conventional

Keywords： structural health monitoring     underwater concrete structure     fiber Bragg grating     crack detection     temperature    

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Hot-dip galvanizing of cold-formed steel hollow sections: a state-of-the-art review

Min SUN, Jeffrey A. PACKER

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 49-65 doi: 10.1007/s11709-017-0448-0

Abstract: effects of galvanizing on the short- and long-term behaviours of steel components is essential for structural

Keywords： cold-formed steel     hollow structural sections     hot-dip galvanizing     embrittlement     heat-treatment     residual    

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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Abstract: recently performed by applying statistical and machine learning techniques for vibration-based damage detection

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolic    

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Dynamic material performance of cold-formed steel hollow sections: a state-of-the-art review

Cameron B. RITCHIE, Jeffrey A. PACKER, Xiao-Ling ZHAO, Amin HEIDARPOUR, Yiyi CHEN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 209-227 doi: 10.1007/s11709-017-0388-8

Abstract: presents a literature review focused on the material performance of cold-formed, carbon steel, hollow structuralSoftware for modeling blast loading and structural response, the latter including single degree of freedom

Keywords： cold-formed steel     hollow structural sections     composites     impulsive loading     impact     blast     experimentation    

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The State of the Art of Data Science and Engineering in Structural Health Monitoring Article

Yuequan Bao, Zhicheng Chen, Shiyin Wei, Yang Xu, Zhiyi Tang, Hui Li

Engineering 2019, Volume 5, Issue 2,   Pages 234-242 doi: 10.1016/j.eng.2018.11.027

Abstract:

Structural health monitoring (SHM) is a multi-discipline field that involves the automatic sensingof structural loads and response by means of a large number of sensors and instruments, followed bya diagnosis of the structural health based on the collected data.Because an SHM system implemented into a structure automatically senses, evaluates, and warns about structuralThis paper provides a brief review of the state of the art of data science and engineering in SHM as

Keywords： Structural health monitoring     Monitoring data     Compressive sampling     Machine learning     Deep learning    

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Distribution system state estimation: an overview of recent developments Review Article

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 4-17 doi: 10.1631/FITEE.1800590

Abstract: manipulation of smart meter readings, all highlight the need for accurate, fast, and robust power system stateIn this study, we provide a contemporary overview of PSSE and describe the current state of the art inFinally, distribution system state estimation is discussed along with its current challenges.

Keywords： State estimation     Cramér-Rao bound     Feasible point pursuit     Semidefinite relaxation     Proximal linear algorithm     Composite optimization     Cyber attack     Bad data detection    

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Detection and localization of cyber attacks on water treatment systems: an entropy-based approach Research Article

Ke LIU, Mufeng WANG, Rongkuan MA, Zhenyong ZHANG, Qiang WEI,bendawang@gmail.com,csewmf@zju.edu.cn,rongkuan233@gmail.com,zhangzhenyong@zju.edu.cn,funnywei@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 587-603 doi: 10.1631/FITEE.2000546

Abstract: the varied WTS operating conditions, there is a high false-positive rate with a static threshold for detectionunder two attack scenarios with a total of 36 attacks, showing that the proposed methods achieved a detection

Keywords： Industrial cyber-physical system     Water treatment system     Intrusion detection     Abnormal state     Detection    

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Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 42-47 doi: 10.1007/s11709-014-0285-3

Abstract: made to increase the power efficiency of the wind turbines while less attention has been focused on structuralintegrity assessment of the structural systems.Vibration-based damage detection has widely been researched to identify damages on a structure basedmethods are convenient but vulnerable to environmental temperature variation which degrades damage detection

Keywords： sensor fusion     damage detection     structural health monitoring    

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Research on structural health monitoring (SHM) system based on RTK GPS system

Wang Renpeng,Yao Lianbi,Meng Xiaolin

Strategic Study of CAE 2011, Volume 13, Issue 3,   Pages 63-70

Abstract: obtained during field data acquisition by the real-time kinematic global positioning system (RTK GPS) in structuralcoordinate time series were treated as the multi-outputs of the dynamic system and used to build the stateThe research illustrated that the state-space model and ARMA model were efficient tools for evaluation

Keywords： RTK GPS system     time series     state-space model     ARMA model     finite element model    

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: Structural dynamic characteristics are the most significant parameters that play a decisive role in structuralThe complexity of structural damping mechanisms has made this parameter to be one of the ongoing researchand nonlinear models which are described as the energy dissipation throughout viscous, material or structuralresponses plays an important role in structural identification process.In this paper model-based damping approximation method and a model-less structural input estimation are

Keywords： structural modal parameters     damping identification method     input excitation force identification     Inverse    

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

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Title Author Date Type Operation

Digital image correlation-based structural state detection through deep learning

Journal Article

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

Modeling considerations in seismic assessment of RC bridges using state-of-practice structural analysis

Ricardo MONTEIRO, Miguel ARAÚJO, Raimundo DELGADO, Mário MARQUES

Journal Article

Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

Journal Article

Crack detection for wading-concrete structures using water irrigation and electric heating

Journal Article

Hot-dip galvanizing of cold-formed steel hollow sections: a state-of-the-art review

Min SUN, Jeffrey A. PACKER

Journal Article

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Journal Article

Dynamic material performance of cold-formed steel hollow sections: a state-of-the-art review

Cameron B. RITCHIE, Jeffrey A. PACKER, Xiao-Ling ZHAO, Amin HEIDARPOUR, Yiyi CHEN

Journal Article

The State of the Art of Data Science and Engineering in Structural Health Monitoring

Yuequan Bao, Zhicheng Chen, Shiyin Wei, Yang Xu, Zhiyi Tang, Hui Li

Journal Article

Distribution system state estimation: an overview of recent developments

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Journal Article

Detection and localization of cyber attacks on water treatment systems: an entropy-based approach

Ke LIU, Mufeng WANG, Rongkuan MA, Zhenyong ZHANG, Qiang WEI,bendawang@gmail.com,csewmf@zju.edu.cn,rongkuan233@gmail.com,zhangzhenyong@zju.edu.cn,funnywei@163.com

Journal Article

Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

Journal Article

Research on structural health monitoring (SHM) system based on RTK GPS system

Wang Renpeng,Yao Lianbi,Meng Xiaolin

Journal Article

Approximation of structural damping and input excitation force

Mohammad SALAVATI

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article