Damage detection of multi degrees of freedom structures based on ANN |
(Wu et al. 2002Wu Z, Xu B, Yokoyama K (2002) Decentralized Parametric Damage Detection Based on Neural Networks. Comput Civ Infrastruct Eng 17:175-184.) |
Damage detection using wavelet multi-resolution analysis with ANN |
(Taha et al., 2004Taha MMR, Noureldin A, Osman A, El-Sheimy N (2004) Introduction to the use of wavelet multiresolution analysis for intelligent structural health monitoring. Can J Civ Eng 31:719-731.) |
Damage detection using scalable modular neural network |
(Goswami and Bhattacharya 2012Goswami S, Bhattacharya P (2012) A Scalable Neural-Network Modular-Array Architecture for Real-Time Multi-Parameter Damage Detection in Plate Structures Using Single Sensor Output. Int J Comput Intell Appl 11:1-22.) |
Damage detection using Bayesian neural networks |
(Lam and Beck 2006Lam H, Beck JL (2006) Structural Health Monitoring via Measured Ritz Vectors Utilizing Artificial Neural Networks. Comput Civ Infrastruct Eng 21:232-241.) |
Damage detection using displacement-based neural network emulator |
(Xu et al. 2012Xu B, Song G, Masri SF (2012) Damage detection for a frame structure model using vibration displacement measurement. Struct Heal Monit 11:281-292.) |
Damage detection for framed RCC buildings using ANN |
(Kanwar et al. 2007Kanwar V, Kwatra N, Aggarwal P (2007) Damage Detection for Framed RCC Buildings using ANN Modeling. Int J Damage Mech 16:457-472.) |
Damage detection using ANN for SHM |
(Xu and Chen 2007Xu B, Chen G (2007) Parametric Identification for a Truss Structure Using Axial Strain. Comput Civ Infrastruct Eng 22:210-222.; Aydin and Kisi 2015Aydin K, Kisi O (2015) Damage diagnosis in beam-like structures by artificial neural networks. J Civ Eng Manag 21:591-604. doi: 10.3846/13923730.2014.890663 https://doi.org/10.3846/13923730.2014.89...
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Damage detection in bridge girders using ANN |
(Al-rahmani et al. 2013Al-rahmani AH, Rasheed HA, Najjar Y (2013) Intelligent Damage Detection in Bridge Girders : Hybrid Approach. J Eng Mech 139:296-304.) |
Damage detection of a truss structure using ANN |
(Osornio-Rios et al., 2012Osornio-Rios R a, Amezquita-Sanchez JP, Romero-Troncoso RJ, Garcia-Perez A (2012) MUSIC-ANN Analysis for Locating Structural Damages in a Truss-Type Structure by Means of Vibrations. Comput Civ Infrastruct Eng 27:687-698.) |
Damage detection of steel frame structures using ANN |
(Betti et al., 2015Betti M, Facchini L, Biagini P (2015) Damage detection on a three-storey steel frame using artificial neural networks and genetic algorithms. Meccanica 50:875-886. doi: 10.1007/s11012-014-0085-9 https://doi.org/10.1007/s11012-014-0085-...
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Damage detection of Guadiana bridge using ANN |
(Santos et al. 2016Santos JP, Cremona C, Calado L, et al (2016c) On-line unsupervised detection of early damage. Struct Control Heal Monit 23:1047-1069.b) |
Damage detection on buildings using wavelet based pattern recognition |
(Radhika et al. 2015Radhika S, Tamura Y, Matsui M (2015) Journal of Wind Engineering Cyclone damage detection on building structures from pre- and post- satellite images using wavelet based pattern recognition. Jnl Wind Eng Ind Aerodyn 136:23-33. doi: 10.1016/j.jweia.2014.10.018 https://doi.org/10.1016/j.jweia.2014.10....
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Damage identification based on response-only measurements by ANN |
(Dackermann et al. 2014Dackermann U, Smith WA, Randall RB (2014) Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks. Struct Heal Monit 13:430-444.) |
Damage identification in a continuous bridge using neural networks |
(Bagchi et al. 2010Bagchi A, Humar J, Xu H, Noman AS (2010) Model-Based Damage Identification in a Continuous Bridge Using Vibration Data. J Perform Constr Facil 24:148-159.) |
Damage identification of a building using wavelet neural network |
(Hung et al. 2003Hung S, Huang CS, Wen CM, Hsu YC (2003) Nonparametric Identification of a Building Structure from Experimental Data Using Wavelet Neural Network. Comput Civ Infrastruct Eng 18:356-368.) |
Damage identification using frequency response functions and ANN |
(Samali et al. 2012Samali B, Dackermann U, Li J (2012) Location and Severity Identification of Notch-Type Damage in a Two-Storey Steel Framed Structure Utilising Frequency Response Functions and Artificial Neural Network. Adv Struct Eng 15:743-757.) |
Damage identification of a bridge using Kalman filter-based ANN |
(Jin et al. 2016Jin C, Jang S, Sun X, et al (2016) Damage detection of a highway bridge under severe temperature changes using extended Kalman filter trained neural network. J Civ Struct Heal Monit. doi: 10.1007/s13349-016-0173-8 https://doi.org/10.1007/s13349-016-0173-...
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Damage identification using Probabilistic Neural Network (PNN) |
(Oliveira and Inman 2017Oliveira MA De, Inman DJ (2017) Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth. Appl Soft Comput J 52:53-63. doi: 10.1016/j.asoc.2016.12.020 https://doi.org/10.1016/j.asoc.2016.12.0...
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Seismic damage prediction of R/C buildings using ANN |
(Morfidis and Kostinakis 2017Morfidis K, Kostinakis K (2017) Advances in Engineering Software Seismic parameters ’ combinations for the optimum prediction of the damage state of R / C buildings using neural networks. Adv Eng Softw 106:1-16. doi: 10.1016/j.advengsoft.2017.01.001 https://doi.org/10.1016/j.advengsoft.201...
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Vibration-based damage assessment of structures using ANN |
(Srinivas et al., 2013Srinivas V, Antony Jeyasehar C, Ramanjaneyulu K (2013) Computational Methodologies for Vibration-Based Damage Assessment of Structures. Int J Struct Stab Dyn 13:1-27.) |
Prediction of the confinement efficiency of reinforced concrete |
(Tang et al. 2003Tang C, Chen H, Yen T (2003) Modeling Confinement Efficiency of Reinforced Concrete Columns with Rectilinear Transverse Steel Using Artificial Neural Networks. J Struct Eng 129:775-783.) |
Prediction of the confined compressive strength and strain of concrete |
(Oreta and Kawashima 2003Oreta AWC, Kawashima K (2003) Neural Network Modeling of Confined Compressive Strength and Strain of Circular Concrete Columns. J Struct Eng 129:554-561.) |
Prediction of structural responses using fuzzy wavelet neural network |
(Jiang and Mahadevan 2008Jiang X, Mahadevan S (2008b) Bayesian wavelet methodology for structural damage detection. Struct Control Heal Monit 15:974-991.a) |
Prediction of the cracking pattern of masonry wallet using ANN |
(Zhang et al. 2010Zhang Y, Zhou GC, Xiong Y, Rafiq MY (2010) Techniques for Predicting Cracking Pattern of Masonry Wallet Using Artificial Neural Networks. J Comput Civ Eng 24:161-172.) |
Comparison of the accuracy between RealAdaBoost algorithm and ANN |
(Li et al. 2014Li Z, Guo J, Liang W, et al (2014) Structural Health Monitoring Based on RealAdaBoost Algorithm in Wireless Sensor Networks. In: Wirless Algorithms, Systems and Applications. Springer International Publishing Switzerland, pp 236-245) |
Comparison of the reliability between Fixed Grid Wavelet and ANN |
(Hosseinabadi et al., 2014Hosseinabadi HZ, Nazari B, Amirfattahi R, et al (2014) Wavelet Network Approach for Structural Damage Identification Using Guided Ultrasonic Waves. IEEE Trans Instrum Meas 63:1680-1692.) |
Comparison of damage classification in carbon fibre composites |
(Mccrory et al. 2015Mccrory JP, Al-jumaili SK, Crivelli D, et al (2015) Composites : Part B Damage classification in carbon fibre composites using acoustic emission : A comparison of three techniques. Compos Part B 68:424-430. doi: 10.1016/j.compositesb.2014.08.046 https://doi.org/10.1016/j.compositesb.20...
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Comparison of regression impact identification of an aluminum plate |
(Sanchez et al., 2016Sanchez N, Meruane V, Ortiz-Bernardin A (2016) A novel impact identi fi cation algorithm based on a linear approximation with maximum entropy. Smart Mater Struct 25:095050.) |
Comparison of ANN and eigensensitivity based model updating |
(Prabakaran et al. 2015Prabakaran K, Kumar A, Thakkar SK (2015) Comparison of eigensensitivity and ANN based methods in model updating of an eight-story building. Earthq Eng Eng Vib 14:453-464.) |
Elimination of temperature effect using auto-associative neural network |
(Zhou et al. 2011Zhou HF, Ni YQ, Ko JM (2011) Eliminating Temperature Effect in Vibration-Based Structural Damage Detection. J Eng Mech 137:785-797.) |
Extraction of environmental factors using auto-associative NN |
(Hsu and Loh 2010Hsu T, Loh C (2010) Damage detection accommodating nonlinear environmental effects by nonlinear principal component analysis. Struct Control Heal Monit 17:338-354.) |
Monitoring of an arch dam using auto-associative neural network |
(Loh et al. 2011Loh C-H, Chen C-H, Hsu T-Y (2011) Application of advanced statistical methods for extracting long-term trends in static monitoring data from an arch dam. Struct Heal Monit 10:587-601.) |
Monitoring of Fei-Tsui arch dam using neural networks |
(Li et al. 2011Li J, Dackermann U, Xu Y, Samali B (2011) Damage identification in civil engineering structures utilizing PCA-compressed residual frequency response functions and neural network ensembles. Struct Control Heal Monit 18:207-226.) |
Bayesian neural networks for bridge integrity assessment |
(Arangio and Beck 2012Arangio S, Beck JL (2012) Bayesian neural networks for bridge integrity assessment. Struct Control Heal Monit 19:3-21.) |
Strain-based emulator neural network (SENN) |
(Hung and Kao 2002Hung S-L, Kao CY (2002) Structural damage detection using the optimal weights of the approximating artificial neural networks. Earthq Eng Struct Dyn 31:217-234.; Kao and Loh 2013) |
Nondestructive evaluation of prestressed concrete beams using ANN |
(Jeyasehar and Sumangala 2006Jeyasehar CA, Sumangala K (2006) Nondestructive Evaluation of Prestressed Concrete Beams using an Artificial Neural Network (ANN) Approach. Struct Heal Monit 5:313-323.) |
Neural network-based damage classification of bridge infrastructure |
(Kabir et al. 2008Kabir S, Rivard P, Ballivy G (2008) Neural-network-based damage classification of bridge infrastructure using texture analysis. Can J Civ Eng 35:258-267.) |
Geometry optimization of elements using ANN based integrated system |
(Golewski et al. 2017Golewski P, Gajewski J, Sadowski T (2017) Optimization of A Thin-Walled Element Geometry Using A System Integrating Neural Networks and Finite Element Method. Arch Metall Mater 62:435-442. doi: 10.1515/amm-2017-0067 https://doi.org/10.1515/amm-2017-0067...
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Fault detection of composite beam using radial basis function NN |
(Khan and Parhi 2015Khan IA, Parhi DR (2015) Fault detection of composite beam by using the modal parameters and RBFNN technique. J Mech Sci Technol 29:1637-1648. doi: 10.1007/s12206-015-0335-3 https://doi.org/10.1007/s12206-015-0335-...
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ANN based damage assessment using incomplete modal data |
(Kourehli 2015Kourehli SS (2015) Damage Assessment in Structures Using Incomplete Modal Data and Artificial Neural Network. Int J Struct Stab Dyn 15:1-17. doi: 10.1142/S0219455414500874 https://doi.org/10.1142/S021945541450087...
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System identification of multistory buildings by ANN |
(Khanmirza et al. 2014Khanmirza E, Khaji N, Khanmirza E (2014) Inverse Problems in Science and Engineering Identification of linear and non-linear physical parameters of multistory shear buildings using artificial neural network. Inverse Probl Sci Eng 23:670-687. doi: 10.1080/17415977.2014.933829 https://doi.org/10.1080/17415977.2014.93...
; Sahoo et al. 2015Sahoo DM, Das A, Chakraverty S (2015) Interval data-based system identification of multistorey shear buildings by artificial neural network modelling. Archit Sci Rev 58:244-254. doi: 10.1080/00038628.2013.841091 https://doi.org/10.1080/00038628.2013.84...
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Wavelet damage quantification using ensemble ANN |
(Vafaei et al., 2015Vafaei M, Alih SC, Baharuddin A, et al (2015) A wavelet-based technique for damage quantification via mode shape decomposition. Struct Infrastruct Eng 11:869-883.) |
Bridge damage identification using ANN |
(Chun et al. 2015Chun P, Yamashita H, Furukawa S (2015) Bridge Damage Severity Quantification UsingMultipoint Acceleration Measurement and Artificial Neural Networks.; Liu et al. 2015Liu H, Wang X, Gong Y, Jiao Y (2015) Damage Identification of Urban Overpass Based on Hybrid Neurogenetic Algorithm Using Static and Dynamic Properties.) |
On-line early damage detection using neural networks |
(Joao P. Santos et al., 2016Santos JP, Cremona C, Calado L, et al (2016c) On-line unsupervised detection of early damage. Struct Control Heal Monit 23:1047-1069.) |
Self organizing maps (SOM) of a bridge |
(Marcy et al. 2016Marcy M, Doz G, Magalhães F, Cunha A (2016) Monitoring of the Infante D. Henrique Bridge with self organizing maps. In: Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks - Bittencourt, Frangopol & Beck (Eds). Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton FL 33487-2742 CRC Press, pp 239-239) |
Pattern recognition of structural behaviors based on neural networks |
(Alves et al., 2015Alves V, Cury A, Roitman N, et al (2015c) Structural modification assessment using supervised learning methods applied to vibration data. Eng Struct 99:439-448.a; Cury & Cremona, 2012Cury A, Cremona C (2012) Pattern recognition of structural behaviors based on learning algorithms and symbolic data concepts. Struct Control Heal Monit 19:161-186.) |