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An enhanced damage plasticity model for predicting the cyclic behavior of plain concrete under multiaxial

Mohammad Reza AZADI KAKAVAND, Ertugrul TACIROGLU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1531-1544 doi: 10.1007/s11709-020-0675-7

Abstract: Some of the current concrete damage plasticity models in the literature employ a single damage variableThis study presents a cyclic model established by extending an existing monotonic constitutive model.The proposed model, dubbed the enhanced concrete damage plasticity model (ECDPM), is an extension ofan existing model that combines the theories of classical plasticity and continuum damage mechanics.The performance of the model is observed to be satisfactory.

Keywords： damage plasticity model     plain concrete     cyclic loading     multiaxial loading conditions    

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Endochronic damage constitutive model for fully-graded aggregate mass concrete

SONG Yupu, WANG Huailiang

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 274-280 doi: 10.1007/s11709-007-0035-x

Abstract: In this paper, based on the combined endochronic theory with damage mechanics and on the quantities ofexperimental data, an endochronic damage constitutive model suitable for various aggregate grade concreteThis model takes into consideration the scale effect and the effect of wet screen sieve of aggregatein which the concept of yield surface is not needed and the difference of damage evolution rule of variousThe proposed model is used to analyze the deformation and strength of fully-graded aggregate mass concrete

Keywords： concept     surface     design     concern     strength    

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Nonlinear cumulative damage model for multiaxial fatigue

SHANG De-guang, SUN Guo-qin, DENG Jing, YAN Chu-liang

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 265-269 doi: 10.1007/s11465-006-0035-x

Abstract: On the basis of the continuum fatigue damage theory, a nonlinear uniaxial fatigue cumulative damage modeldamage model is developed based on the critical plane approach.The proposed model can consider the multiaxial fatigue limit, mean hydrostatic pressure and the unseparatedThe recurrence formula of fatigue damage model was derived under multilevel loading, which is used toThe results showed that the proposed nonlinear multiaxial fatigue cumulative damage model is better than
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Damage-constitutive model for seawater coral concrete using different stirrup confinements subjected

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 429-447 doi: 10.1007/s11709-022-0913-2

Abstract: lateral effective stress of the different stirrups was calculated based on the cohesive-elastic ring modelMoreover, a damage-constitutive model of CAC considering the lateral stress was set up based on damageThe lateral stress model showed a good agreement with the experimental data, and the proposed damage-constitutivemodel had a good correlation with the measured stress−strain curves.

Keywords： aggregate concrete     stress−strain curves     lateral effective stress     peak stress     axial−lateral curves     damage-constitutivemodel.    

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An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and groupmethod of data handling surrogate model

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: system using a surrogate model of the structure has been investigated.property change vector is evaluated using the group method of data handling (GMDH) network as a surrogate modelFinally, in order to achieve the most generalized neural network as a surrogate model, GMDH performanceMoreover, the GMDH model is also more efficient and mimics the behavior of the structure slightly betterthan CFNN model.

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

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Damage mechanism and evaluation model of compressor impeller remanufacturing blanks: A review

Haiyang LU, Yanle LI, Fangyi LI, Xingyi ZHANG, Chuanwei ZHANG, Jiyu DU, Zhen LI, Xueju RAN, Jianfeng LI, Weiqiang WANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 402-411 doi: 10.1007/s11465-019-0548-8

Abstract: The theoretical and technological achievements in the damage mechanism and evaluation model obtainedThe mechanism and evaluation model of ultra-high cycle fatigue, erosion wear, and corrosion damage wereFor ultra-high cycle fatigue damage, the characteristics of ultra-high cycle fatigue of the impellerFor corrosion damage, the electrochemical and stress corrosion behaviors of the impeller material andThe findings provide theoretical and evaluation model support for the analysis and evaluation of large

Keywords： remanufacturing     centrifugal compressor impeller     remanufacturing blank     damage mechanism     evaluation model    

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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 damagenumber 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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Regional seismic-damage prediction of buildings under mainshock–aftershock sequence

Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 122-134 doi: 10.1007/s42524-019-0072-x

Abstract: Aftershocks further damage buildings weakened by mainshocks.Thus, the accurate and efficient prediction of aftershock-induced damage to buildings on a regional scaleA framework to predict regional seismic damage of buildings under a mainshock–aftershock (MS–AS) sequenceThe primary conclusions are as follows. (1) Regional seismic damage of buildings under an MS–AS sequencecan be generated reasonably by the proposed MS–AS sequence-generation method. (3) Regional seismic damage

Keywords： regional seismic damage prediction     city-scale nonlinear time-history analysis     mainshock–aftershock sequence     multiple degree-of-freedom (MDOF) model     2014 Ludian earthquake    

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Intermediate HSS bracing members during seismic excitations: modeling, design, and behavior

Madhar HADDAD

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 148-162 doi: 10.1007/s11709-016-0375-5

Abstract: Two experimental tests (Shaback 2001 and Haddad 2004) were used to validate the model.A refined damage accumulation model for ultra-low-cycle fatigue is implemented to predict fracture ofThe refined damage model is then used in the finite element modeling to predict fracture of braces in

Keywords： HSS     FEM     stress-strain curves     damage model    

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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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Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: This paper utilizes three popular semantic segmentation networks, specifically DeepLab v3+, fully convolutional network (FCN), and U-Net to qualitively analyze and identify the key components of cutting slope images in complex scenes and achieve rapid image-based slope detection. The elements of cutting slope images are divided into 7 categories. In order to determine the best algorithm for pixel level classification of cutting slope images, the networks are compared from three aspects: a) different neural networks, b) different feature extractors, and c) 2 different optimization algorithms. It is found that DeepLab v3+ with Resnet18 and Sgdm performs best, FCN 32s with Sgdm takes the second, and U-Net with Adam ranks third. This paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization. Results show that the contour generated by DeepLab v3+ (combined with Resnet18 and Sgdm) is closest to the ground truth, while the resulting contour of U-Net (combined with Adam) is closest to the input images.

Keywords： slope damage     image recognition     semantic segmentation     feature map     visualizations    

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Finite element analysis of controlled low strength materials

Vahid ALIZADEH

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1243-1250 doi: 10.1007/s11709-019-0553-3

Abstract: The study was conducted using a plastic-damage model which captures the material behavior using bothclassical theory of elasto-plasticity and continuum damage mechanics.

Keywords： CLSM     finite element method     compressive strength     pullout     numerical modeling     plastic damage model    

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Prediction model for residual strength of stiffened panels with multiple site damage based on artificial

Yang Maosheng,Chen Yueliang,Yu Dazhao

Strategic Study of CAE 2008, Volume 10, Issue 5,   Pages 46-50

Abstract:

A prediction model for residual strength of stiffened panels with multiplesite damage based on artificial neural network (ANN) is developed, and the results obtained from thetrained BP model are compared to the analytical and experimental data available in the literature.The results obtained indicate that the neural network model predictions are in the best agreement withexperimental data than any other methods, and the modified linkup models predict better than the linkup model

Keywords： neural network     multiple site damage     stiffened panel     residual strength    

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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 traditionalThis paper improves ANN training after introducing BOA as a hybrid model (BOA-ANN).

Keywords： damage prediction     ANN     BOA     FEM     experimental modal analysis    

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Cyclic behavior of prefabricated reinforced concrete frame with infill slit shear walls

Kui XIAO,Qilin ZHANG,Bin JIA

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1,   Pages 63-71 doi: 10.1007/s11709-015-0294-x

Abstract: Combined with the concrete damaged plastic (CDP) model provided by finite element program ABAQUS andthe constitutive model of concrete proposed by Chinese code, the damage process of the PRCFW structure

Keywords： slit shear wall     constitutive model     cyclic     seismic     damage    

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Title Author Date Type Operation

An enhanced damage plasticity model for predicting the cyclic behavior of plain concrete under multiaxial

Mohammad Reza AZADI KAKAVAND, Ertugrul TACIROGLU

Journal Article

Endochronic damage constitutive model for fully-graded aggregate mass concrete

SONG Yupu, WANG Huailiang

Journal Article

Nonlinear cumulative damage model for multiaxial fatigue

SHANG De-guang, SUN Guo-qin, DENG Jing, YAN Chu-liang

Journal Article

Damage-constitutive model for seawater coral concrete using different stirrup confinements subjected

Journal Article

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and groupmethod of data handling surrogate model

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

Damage mechanism and evaluation model of compressor impeller remanufacturing blanks: A review

Haiyang LU, Yanle LI, Fangyi LI, Xingyi ZHANG, Chuanwei ZHANG, Jiyu DU, Zhen LI, Xueju RAN, Jianfeng LI, Weiqiang WANG

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

Regional seismic-damage prediction of buildings under mainshock–aftershock sequence

Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG

Journal Article

Intermediate HSS bracing members during seismic excitations: modeling, design, and behavior

Madhar HADDAD

Journal Article

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

Nazim Abdul NARIMAN, Tom LAHMER, Peyman KARAMPOUR

Journal Article

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Journal Article

Finite element analysis of controlled low strength materials

Vahid ALIZADEH

Journal Article

Prediction model for residual strength of stiffened panels with multiple site damage based on artificial

Yang Maosheng,Chen Yueliang,Yu Dazhao

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

Cyclic behavior of prefabricated reinforced concrete frame with infill slit shear walls

Kui XIAO,Qilin ZHANG,Bin JIA

Journal Article