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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 detectionIn the first stage, in order to locate the damage accurately, the performance of the modal strain energyextent estimation by optimization algorithm; in this part of methodology, the performance of the threepopular optimization algorithms including particle swarm optimization (PSO), bat algorithm (BA), andcolliding bodies optimization (CBO) is examined and in this regard, root mean square deviation ( ) based

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

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Damage detection in beam-like structures using static shear energy redistribution

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1552-1564 doi: 10.1007/s11709-022-0903-4

Abstract: In this study, a static shear energy algorithm is presented for the damage assessment of beam-like structuresthe energy release principle, the strain energy of a damaged element suddenly changes when structural damageTherefore, the change in the static shear energy is employed to determine the damage locations in beam-likeis that only a few deflection data points of the beam structure are required during the process of damageAnother advantage of the proposed approach is that damage detection can be performed without establishing

Keywords： damage detection     beam structure     strain energy     static displacement variation     energy damage index    

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Multiple damage detection in complex bridges based on strain energy extracted from single point measurement

Alireza ARABHA NAJAFABADI, Farhad DANESHJOO, Hamid Reza AHMADI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 722-730 doi: 10.1007/s11709-020-0624-5

Abstract: Strain Energy of the structure can be changed with the damage at the damage location.The accurate detection of the damage location using this index in a force system is dependent on thedegree of accuracy in determining the structure deformation function before and after damage.Then two damage detection indicators were developed based on strain energy variations.Damage was simulated by decreasing stiffness at different sections of the deck.

Keywords： damage detection     strain energy     influence line     complex bridges     rotation displacement    

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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: been recently performed by applying statistical and machine learning techniques for vibration-based damagedetection.number of modal properties issued from operational modal analysis may be not appropriate for early-damageThe present paper aims at detecting this type of damage by using static SHM data and by assuming thatearly-damage produces dead load redistribution.

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolicdissimilarity measures     cluster analysis     numerical model     damage simulations    

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A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1453-1479 doi: 10.1007/s11709-021-0767-z

Abstract: This paper proposes a new Deep Feed-forward Neural Network (DFNN) approach for damage detection in functionallythe proposed approach, the DFNN model is developed based on a data set containing 20 000 samples of damagetranslational nodal displacements of the structures, are utilized as input of the DFNN model while the damageObtained results indicate that the proposed DFNN model is able to give sufficiently accurate damage detection

Keywords： damage detection     deep feed-forward neural networks     functionally graded carbon nanotube-reinforced composite    

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Detection of oxidative stress and DNA damage in freshwater snail

Daoud Ali, Huma Ali, Saud Alifiri, Saad Alkahtani, Abdullah A Alkahtane, Shaik Althaf Huasain

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1039-6

Abstract:

Freshwater snail (Lymnea luteola L.) is good bio indicator of water pollution.

Profenofos is tested for its molluscicidal activity against Lymnea luteola L. snail.

Deleterious effects on some oxidative stress were detected.

Profenofos has a genotoxic effect on Lymnea luteola L. snails.

Keywords： Acute toxicity     Profenofos     ROS     oxidative stress     DNA damage     Lymnea luteola    

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Damage identification in connections of moment frames using time domain responses and an optimization

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 851-866 doi: 10.1007/s11709-021-0739-3

Abstract: Damage is defined as changes to the material and/or geometric properties of a structural system, comprisingIn this study, an optimization-based method for joint damage identification of moment frames using theThen, the problem of joint damage identification is converted to a standard optimization problem.The optimization problem is solved by an improved differential evolution algorithm (IDEA) for identifyingthe location and severity of the damage.

Keywords： damage identification     beam-to-column connection     time-domain response     optimization    

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Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 318-332 doi: 10.1007/s11709-021-0715-y

Abstract: The aim of this study is to propose a new detection method for determining the damage locations in pileFirst, the damage location is simulated using a back propagation neural network deep learning model withIn particular, the damage location is identified using two parameters: the pile location ( ) and theSecond, the damage step condition is determined using a classification model with an acoustic emissionFinally, a new damage detection and evaluation method for pile foundations is proposed.

Keywords： pile foundations     damage location     acoustic emission     deep learning     damage step    

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Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4,   Pages 458-464 doi: 10.1007/s11709-011-0133-7

Abstract: paper presents a numerical simulation study on electromechanical impedance technique for structural damageThe basic principle of impedance based damage detection is structural impedance will vary with the occurrenceand development of structural damage, which can be measured from electromechanical admittance curvesTherefore, structure damage can be identified from the electromechanical admittance measurements.An optimization procedure is then formulated to estimate the property change of structural elements from

Keywords： PZT     piezoelectric impedance     optimization     spectral element     damage identification    

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Uncertainty quantification of stability and damage detection parameters of coupled hydrodynamic-ground

Nazim Abdul NARIMAN, Tom LAHMER, Peyman KARAMPOUR

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 303-323 doi: 10.1007/s11709-018-0462-x

Abstract: The non coupled models results determined overestimated predicted stability and damage detection in theThe XFEM approach has been used for damage detection in relation with both minimum and maximum values

Keywords： massed foundation     hydrodynamic pressure     Box-Behnken method     meta model     Sobol’s sensitivity indices    

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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: Vibration-based damage detection has widely been researched to identify damages on a structure baseddetection capability; mode shapes are less influenced by temperature variation and able to locate damageThis study proposes novelty of damage factor based on sensor fusion to exclude effect of temperatureThe combined use of an accelerometer and an inclinometer was considered and damage factor was definedof sensor, 2) robustness to change in temperature and signal noise and 3) ability to roughly locate damage

Keywords： sensor fusion     damage detection     structural health monitoring    

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Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target Research Article

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU,yinchun.86416@163.com,chunyin@uestc.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 571-586 doi: 10.1631/FITEE.2000695

Abstract: To detect spacecraft damage caused by hypervelocity impact, we propose an advanced spacecraft defectextraction algorithm based on infrared imaging detection.A multi-objective optimization algorithm is introduced to achieve balance between detail preservationnoise removal, and a multi-objective evolutionary algorithm based on decomposition (MOEA/D) is used for optimizationto ensure damage segmentation accuracy.

Keywords： Hypervelocity impact damage     Defect detection     Gaussian mixture model     Image segmentation    

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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1127-1140 doi: 10.1007/s11709-022-0838-9

Abstract: This paper deals with the inverse analysis of the crack detection problems using triple hybrid algorithmsbased on Particle Swarm Optimization (PSO); these hybrids are Particle Swarm Optimization-Genetic Algorithm-FireflyAlgorithm (PSO-GA-FA), Particle Swarm Optimization-Grey Wolf Optimization-Firefly Algorithm (PSO-GWO-FA), and Particle Swarm Optimization-Genetic Algorithm-Grey Wolf Optimization (PSO-GA-GWO).PSO-GA-FA and PSO-GWO-FA algorithms are much more effective than PSO-GA-GWO algorithm for the crack detection

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 976-989 doi: 10.1007/s11709-022-0840-2

Abstract: Vibration-based damage detection methods have become widely used because of their advantages over traditionalanalysis using the Finite Element Method (FEM) and Artificial Neural Network (ANN) combined with Butterfly Optimization

Keywords： damage prediction     ANN     BOA     FEM     experimental modal analysis    

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Corrosion damage assessment and monitoring of large steel space structures

Bo CHEN, You-Lin XU, Weilian QU,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 354-369 doi: 10.1007/s11709-010-0088-0

Abstract: This paper proposes a framework for assessing the corrosion damage of large steel space structures subjectedreal large steel space structure built in the southern coastal area in China to assess its corrosion damage

Keywords： large steel space structure     atmospheric corrosion     stress corrosion cracking     corrosion damage     damage assessment    

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Title Author Date Type Operation

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

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

Damage detection in beam-like structures using static shear energy redistribution

Journal Article

Multiple damage detection in complex bridges based on strain energy extracted from single point measurement

Alireza ARABHA NAJAFABADI, Farhad DANESHJOO, Hamid Reza AHMADI

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

A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced

Journal Article

Detection of oxidative stress and DNA damage in freshwater snail

Daoud Ali, Huma Ali, Saud Alifiri, Saad Alkahtani, Abdullah A Alkahtane, Shaik Althaf Huasain

Journal Article

Damage identification in connections of moment frames using time domain responses and an optimization

Journal Article

Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Journal Article

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Journal Article

Uncertainty quantification of stability and damage detection parameters of coupled hydrodynamic-ground

Nazim Abdul NARIMAN, Tom LAHMER, Peyman KARAMPOUR

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

Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU,yinchun.86416@163.com,chunyin@uestc.edu.cn

Journal Article

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Journal Article

Corrosion damage assessment and monitoring of large steel space structures

Bo CHEN, You-Lin XU, Weilian QU,

Journal Article