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Erschienen in: International Journal of Steel Structures 4/2022

29.06.2022

Structural Monitoring of a Defective Steel Beam Model Based on Image Changes in Power Spectral Density

verfasst von: Thanh Q. Nguyen, Tuan A. Nguyen, Thuy T. Nguyen

Erschienen in: International Journal of Steel Structures | Ausgabe 4/2022

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Abstract

Using power-spectral density (PSD) analysis for structures, we evaluated defects following a widespread research trend. During the structure’s operation, PSD not only demonstrated its structural integrity at the time of surveying but also predicted future changes in the structure. The present research used changes in PSD as a key feature for monitoring a beam structure’s shearing patterns. Two shearing models—side shearing and shearing under the beam—revealed changes in the shape of PSD images that corresponded to degrees of defect in the different shearing models. We applied these results to the monitoring of simple actual span structures over a long period of time. We monitored the structure’s operational status over time to examine the increased influence of structural defects based on significant changes in the PSD regarding spectral amplitude and spectral width. The frequencies initially found in the high-frequency region of PSD tended to shift toward the lower-frequency regions before disappearing entirely. In the future, the results of this research may improve the evaluation of structural integrity through variations of PSD in vibrational spectral shapes.

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Literatur
Zurück zum Zitat Abdeljaber, O., et al. (2018). 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data. Neurocomputing, 275, 1308–1317.CrossRef Abdeljaber, O., et al. (2018). 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data. Neurocomputing, 275, 1308–1317.CrossRef
Zurück zum Zitat Alexandrino, P. S. L., Gomes, G. F., & Cunha, S. S. (2020). A robust optimization for damage detection using multiobjective genetic algorithm, neural network and fuzzy decision making. Inverse Problems in Science and Engineering, 28(1), 1583225.MathSciNetMATHCrossRef Alexandrino, P. S. L., Gomes, G. F., & Cunha, S. S. (2020). A robust optimization for damage detection using multiobjective genetic algorithm, neural network and fuzzy decision making. Inverse Problems in Science and Engineering, 28(1), 1583225.MathSciNetMATHCrossRef
Zurück zum Zitat Avci, O., et al. (2021a). A review of vibration-based damage detection in civil structures: From traditional methods to machine learning and deep learning applications. Mechanical Systems and Signal Processing, 147, 107077.CrossRef Avci, O., et al. (2021a). A review of vibration-based damage detection in civil structures: From traditional methods to machine learning and deep learning applications. Mechanical Systems and Signal Processing, 147, 107077.CrossRef
Zurück zum Zitat Ay, A. M., Khoo, S., & Wang, Y. (2019). Probability distribution of decay rate: A statistical time-domain damping parameter for structural damage identification. Structural Health Monitoring, 16(1), 66–86.CrossRef Ay, A. M., Khoo, S., & Wang, Y. (2019). Probability distribution of decay rate: A statistical time-domain damping parameter for structural damage identification. Structural Health Monitoring, 16(1), 66–86.CrossRef
Zurück zum Zitat Banerjee, J. R., & Ananthapuvirajah, A. (2018). Free vibration of functionally graded beams and frameworks using the dynamic stiffness method. Journal of Sound and Vibration, 422, 34–47.CrossRef Banerjee, J. R., & Ananthapuvirajah, A. (2018). Free vibration of functionally graded beams and frameworks using the dynamic stiffness method. Journal of Sound and Vibration, 422, 34–47.CrossRef
Zurück zum Zitat Bao, Y., & Li, H. (2021). Machine learning paradigm for structural health monitoring. Structural Health Monitoring, 20(4), 1353–1372.CrossRef Bao, Y., & Li, H. (2021). Machine learning paradigm for structural health monitoring. Structural Health Monitoring, 20(4), 1353–1372.CrossRef
Zurück zum Zitat Bayissa, W. L., & Haritos, N. (2007). Structural damage identification in plates using spectral strain energy analysis. Journal of Sound and Vibration, 307, 226–249.CrossRef Bayissa, W. L., & Haritos, N. (2007). Structural damage identification in plates using spectral strain energy analysis. Journal of Sound and Vibration, 307, 226–249.CrossRef
Zurück zum Zitat Burgos, T., et al. (2020). damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications. Sensors, 20(3), 733.CrossRef Burgos, T., et al. (2020). damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications. Sensors, 20(3), 733.CrossRef
Zurück zum Zitat Cao, M. S., Sha, G. G., Gao, Y. F., & Ostachowicz, W. (2017). Structural damage identification using damping: a compendium of uses and features. Smart Materials and Structures, 26(4), 4300.CrossRef Cao, M. S., Sha, G. G., Gao, Y. F., & Ostachowicz, W. (2017). Structural damage identification using damping: a compendium of uses and features. Smart Materials and Structures, 26(4), 4300.CrossRef
Zurück zum Zitat Cao, D., et al. (2019). Analytical analysis of free vibration of non-uniform and non-homogenous beams: Asymptotic perturbation approach. Applied Mathematical Modelling, 65, 526–534.MathSciNetMATHCrossRef Cao, D., et al. (2019). Analytical analysis of free vibration of non-uniform and non-homogenous beams: Asymptotic perturbation approach. Applied Mathematical Modelling, 65, 526–534.MathSciNetMATHCrossRef
Zurück zum Zitat Chandrasekaran, S. (2017). Dynamic analysis and design of ocean structures. Singapore: Springer. Chandrasekaran, S. (2017). Dynamic analysis and design of ocean structures. Singapore: Springer.
Zurück zum Zitat Chandrasekaran, S. (2019). Structural health monitoring with application to offshore structures. Singapore: World Scientific Publishing Co.CrossRef Chandrasekaran, S. (2019). Structural health monitoring with application to offshore structures. Singapore: World Scientific Publishing Co.CrossRef
Zurück zum Zitat Chandrasekaran, S., & Ajesh Kumar, P. T. (2019). Damage detection in reinforced concrete Berthing Jetty using a plasticity model approach. Journal of Marine Science and Application, 18, 482–491.CrossRef Chandrasekaran, S., & Ajesh Kumar, P. T. (2019). Damage detection in reinforced concrete Berthing Jetty using a plasticity model approach. Journal of Marine Science and Application, 18, 482–491.CrossRef
Zurück zum Zitat Chandrasekaran, S., & Chithambaram, T. (2019). Health monitoring of tension leg platform using wireless sensor networking: Experimental investigations. Journal of Marine Science and Technology, 24, 60–72.CrossRef Chandrasekaran, S., & Chithambaram, T. (2019). Health monitoring of tension leg platform using wireless sensor networking: Experimental investigations. Journal of Marine Science and Technology, 24, 60–72.CrossRef
Zurück zum Zitat Chandrasekaran, S., Chithambaram, T., & Khader, S. A. (2016). Structural health monitoring of offshore structures using wireless sensor networking under operational and environmental variability. International Journal of Environmental and Ecological Engineering, 10(1), 33–39. Chandrasekaran, S., Chithambaram, T., & Khader, S. A. (2016). Structural health monitoring of offshore structures using wireless sensor networking under operational and environmental variability. International Journal of Environmental and Ecological Engineering, 10(1), 33–39.
Zurück zum Zitat Doebling, S. W., Farrar, C. R., Prime, M. B., & Shevitz, D. W. (1996). Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review. United States: Los Alamos National Lab.CrossRef Doebling, S. W., Farrar, C. R., Prime, M. B., & Shevitz, D. W. (1996). Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review. United States: Los Alamos National Lab.CrossRef
Zurück zum Zitat Gordan, M., et al. (2020). A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining. Applied Soft Computing, 88, 106013.CrossRef Gordan, M., et al. (2020). A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining. Applied Soft Computing, 88, 106013.CrossRef
Zurück zum Zitat Gribniak, V., et al. (2017). Mechanical behavior of steel fiber-reinforced concrete beams bonded with external carbon fiber sheets. Materials (basel), 10(6), 666.CrossRef Gribniak, V., et al. (2017). Mechanical behavior of steel fiber-reinforced concrete beams bonded with external carbon fiber sheets. Materials (basel), 10(6), 666.CrossRef
Zurück zum Zitat Hanteh, M., & Rezaifar, O. (2021). Damage detection in precast full panel building by continuous wavelet analysis analytical method. Structures, 29, 701–713.CrossRef Hanteh, M., & Rezaifar, O. (2021). Damage detection in precast full panel building by continuous wavelet analysis analytical method. Structures, 29, 701–713.CrossRef
Zurück zum Zitat Hanteh, M., Rezaifar, O., & Gholhaki, M. (2021). Selecting the appropriate wavelet function in the damage detection of precast full panel building based on experimental results and wavelet analysis. Journal of Civil Structural Health Monitoring, 11, 1013–1036.CrossRef Hanteh, M., Rezaifar, O., & Gholhaki, M. (2021). Selecting the appropriate wavelet function in the damage detection of precast full panel building based on experimental results and wavelet analysis. Journal of Civil Structural Health Monitoring, 11, 1013–1036.CrossRef
Zurück zum Zitat Huang, M., Lei, Y., Li, X., & Gu, J. (2021). Damage identification of bridge structures considering temperature variations-based SVM and MFO. Journal of Aerospace Engineering, 34(2), 04020113.CrossRef Huang, M., Lei, Y., Li, X., & Gu, J. (2021). Damage identification of bridge structures considering temperature variations-based SVM and MFO. Journal of Aerospace Engineering, 34(2), 04020113.CrossRef
Zurück zum Zitat Huh, Y. C., et al. (2011). Damage detection in beams using vibratory power estimated from the measured accelerations. Journal of Sound and Vibration, 330, 3645–3665.CrossRef Huh, Y. C., et al. (2011). Damage detection in beams using vibratory power estimated from the measured accelerations. Journal of Sound and Vibration, 330, 3645–3665.CrossRef
Zurück zum Zitat Khatir, S., Wahab, M. A., Boutchicha, D., & Khatir, T. (2019). Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis. Journal of Sound and Vibration, 448, 230–246.CrossRef Khatir, S., Wahab, M. A., Boutchicha, D., & Khatir, T. (2019). Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis. Journal of Sound and Vibration, 448, 230–246.CrossRef
Zurück zum Zitat Khatir, S., et al. (2020). An efficient hybrid TLBO-PSO-ANN for fast damage identification in steel beam structures using IGA. Smart Structures and Systems, 25(5), 605–617. Khatir, S., et al. (2020). An efficient hybrid TLBO-PSO-ANN for fast damage identification in steel beam structures using IGA. Smart Structures and Systems, 25(5), 605–617.
Zurück zum Zitat Kong, X., Cai, C.-S., & Hu, J. (2017). The state-of-the-art on framework of vibration-based structural damage identification for decision making. Applied Sciences, 7(5), 497.CrossRef Kong, X., Cai, C.-S., & Hu, J. (2017). The state-of-the-art on framework of vibration-based structural damage identification for decision making. Applied Sciences, 7(5), 497.CrossRef
Zurück zum Zitat Lee, J. W., & Lee, J. Y. (2017). Free vibration analysis of functionally graded Bernoulli-Euler beams using an exact transfer matrix expression. International Journal of Mechanical Sciences, 122, 1–17.CrossRef Lee, J. W., & Lee, J. Y. (2017). Free vibration analysis of functionally graded Bernoulli-Euler beams using an exact transfer matrix expression. International Journal of Mechanical Sciences, 122, 1–17.CrossRef
Zurück zum Zitat Lee, J. W., & Lee, J. Y. (2018). An exact transfer matrix expression for bending vibration analysis of a rotating tapered beam. Applied Mathematical Modelling, 53, 167–188.MathSciNetMATHCrossRef Lee, J. W., & Lee, J. Y. (2018). An exact transfer matrix expression for bending vibration analysis of a rotating tapered beam. Applied Mathematical Modelling, 53, 167–188.MathSciNetMATHCrossRef
Zurück zum Zitat Lee, L. S., Karbhari, V. M., & Sikorsky, C. (2004). Investigation of integrity and effectiveness FRC Bride deck rehabilitation with CFRP composite. San Diego: Department of Structure, Engineering University of California. Lee, L. S., Karbhari, V. M., & Sikorsky, C. (2004). Investigation of integrity and effectiveness FRC Bride deck rehabilitation with CFRP composite. San Diego: Department of Structure, Engineering University of California.
Zurück zum Zitat Li, X. F., Kang, Y. A., & Wu, J. X. (2013). Exact frequency equations of free vibration of exponentially functionally graded beams. Applied Acoustics, 74, 413–420.CrossRef Li, X. F., Kang, Y. A., & Wu, J. X. (2013). Exact frequency equations of free vibration of exponentially functionally graded beams. Applied Acoustics, 74, 413–420.CrossRef
Zurück zum Zitat Li, V.C., & Zhang, J., (2000). Approaches to enhancing concrete bridge deck durability. California, pp. 11–22. Li, V.C., & Zhang, J., (2000). Approaches to enhancing concrete bridge deck durability. California, pp. 11–22.
Zurück zum Zitat Lin, Y.-Z., Nie, Z.-H., & Ma, H.-W. (2017). Structural damage detection with automatic feature-extraction through deep learning. Computer-Aided Civil and Infrastructure Engineering, 32(12), 1025–1046.CrossRef Lin, Y.-Z., Nie, Z.-H., & Ma, H.-W. (2017). Structural damage detection with automatic feature-extraction through deep learning. Computer-Aided Civil and Infrastructure Engineering, 32(12), 1025–1046.CrossRef
Zurück zum Zitat Ma, X., Lin, Y., Nie, Z., & Ma, H. (2020). Structural damage identification based on unsupervised feature-extraction via variational auto-encoder. Measurement, 160, 107811.CrossRef Ma, X., Lin, Y., Nie, Z., & Ma, H. (2020). Structural damage identification based on unsupervised feature-extraction via variational auto-encoder. Measurement, 160, 107811.CrossRef
Zurück zum Zitat Malekjafarian, A., & OBrien, E. J. (2017). On the use of a passing vehicle for the estimation of bridge mode shapes. Journal of Sound and Vibration, 397, 77–91.CrossRef Malekjafarian, A., & OBrien, E. J. (2017). On the use of a passing vehicle for the estimation of bridge mode shapes. Journal of Sound and Vibration, 397, 77–91.CrossRef
Zurück zum Zitat Mohammed, A., & Cashell, K. A. (2021). Structural behaviour and fire design of duplex and ferritic stainless steel CHS stub columns. International Journal of Steel Structures, 21(4), 1280–1291.CrossRef Mohammed, A., & Cashell, K. A. (2021). Structural behaviour and fire design of duplex and ferritic stainless steel CHS stub columns. International Journal of Steel Structures, 21(4), 1280–1291.CrossRef
Zurück zum Zitat Neves, A. C., González, I., Leander, J., & Karoumi, R. (2017). Structural health monitoring of bridges: A model-free ANN-based approach to damage detection. Journal of Civil Structural Health Monitoring, 7, 689–702.CrossRef Neves, A. C., González, I., Leander, J., & Karoumi, R. (2017). Structural health monitoring of bridges: A model-free ANN-based approach to damage detection. Journal of Civil Structural Health Monitoring, 7, 689–702.CrossRef
Zurück zum Zitat Nguyen, T. Q. (2021d). A deep learning platform for evaluating energy loss parameter in engineering structures. Structures, 34, 1326–1345.CrossRef Nguyen, T. Q. (2021d). A deep learning platform for evaluating energy loss parameter in engineering structures. Structures, 34, 1326–1345.CrossRef
Zurück zum Zitat Nguyen, T. Q. (2022b). A data-driven assessment based on viscosity damage detection in beam structures using bayesian deep learning and balancing composite motion optimization. Structures, 39, 98–114.CrossRef Nguyen, T. Q. (2022b). A data-driven assessment based on viscosity damage detection in beam structures using bayesian deep learning and balancing composite motion optimization. Structures, 39, 98–114.CrossRef
Zurück zum Zitat Nguyen, T. Q., & Nguyen, H. B. (2021). Structural health monitoring of bridge spans using moment cumulative functions of power spectral density (MCF-PSD) and deep learning. Bridge Structures, 17(1–2), 15–39.CrossRef Nguyen, T. Q., & Nguyen, H. B. (2021). Structural health monitoring of bridge spans using moment cumulative functions of power spectral density (MCF-PSD) and deep learning. Bridge Structures, 17(1–2), 15–39.CrossRef
Zurück zum Zitat Nguyen, T. Q., Nguyen, T. T. D., Nguyen-Xuan, H., & Ngo, N. K. (2019). A correlation coefficient approach for evaluation of stiffness degradation of beams under moving load. Cmc-Computers Materials & Continua, 61(1), 27–53.CrossRef Nguyen, T. Q., Nguyen, T. T. D., Nguyen-Xuan, H., & Ngo, N. K. (2019). A correlation coefficient approach for evaluation of stiffness degradation of beams under moving load. Cmc-Computers Materials & Continua, 61(1), 27–53.CrossRef
Zurück zum Zitat Nguyen, T. Q., Nguyen, T. D., Tran, L. Q., & Ngo, N. K. (2020). A new insight to vibration characteristics of spans under random moving load: Case study of 38 bridges in Ho Chi Minh City, Vietnam. Shock and Vibration, 2020, 1547568. Nguyen, T. Q., Nguyen, T. D., Tran, L. Q., & Ngo, N. K. (2020). A new insight to vibration characteristics of spans under random moving load: Case study of 38 bridges in Ho Chi Minh City, Vietnam. Shock and Vibration, 2020, 1547568.
Zurück zum Zitat Nguyen, T. Q., et al. (2020b). A data-driven approach based on wavelet analysis and deep learning for identification of multiple-cracked beam structures under moving load. Measurement, 162, 107862.CrossRef Nguyen, T. Q., et al. (2020b). A data-driven approach based on wavelet analysis and deep learning for identification of multiple-cracked beam structures under moving load. Measurement, 162, 107862.CrossRef
Zurück zum Zitat Nguyen, T. D., et al. (2020c). A novel approach based on viscoelastic parameters for bridge health monitoring: A case study of Saigon bridge in Ho Chi Minh City-Vietnam. Mechanical Systems and Signal Processing, 141, 106728.CrossRef Nguyen, T. D., et al. (2020c). A novel approach based on viscoelastic parameters for bridge health monitoring: A case study of Saigon bridge in Ho Chi Minh City-Vietnam. Mechanical Systems and Signal Processing, 141, 106728.CrossRef
Zurück zum Zitat Nguyen, T. Q., Tran, L. Q., Nguyen-Xuan, H., & Ngo, N. K. (2021). A statistical approach for evaluating crack defects in structures under dynamic responses. Nondestructive Testing and Evaluation, 36(2), 113–144.CrossRef Nguyen, T. Q., Tran, L. Q., Nguyen-Xuan, H., & Ngo, N. K. (2021). A statistical approach for evaluating crack defects in structures under dynamic responses. Nondestructive Testing and Evaluation, 36(2), 113–144.CrossRef
Zurück zum Zitat Norman, N. (1957). The Fourier transform method for normalizing intensities. Acta Crystallographica, 10, 370–373.MathSciNetCrossRef Norman, N. (1957). The Fourier transform method for normalizing intensities. Acta Crystallographica, 10, 370–373.MathSciNetCrossRef
Zurück zum Zitat Pathirage, C. S. N., et al. (2018). Structural damage identification based on autoencoder neural networks and deep learning. Engineering Structures, 172, 13–28.CrossRef Pathirage, C. S. N., et al. (2018). Structural damage identification based on autoencoder neural networks and deep learning. Engineering Structures, 172, 13–28.CrossRef
Zurück zum Zitat Pedram, M., Esfandiari, A., & Shadan, F., (2014). Finite element model updating using power spectral density of structural response. La Cité, Nantes, France. Pedram, M., Esfandiari, A., & Shadan, F., (2014). Finite element model updating using power spectral density of structural response. La Cité, Nantes, France.
Zurück zum Zitat Sadeghi, F., Li, J., & Zhu, X. (2020). A steel-concrete composite beam element for structural damage identification. International Journal of Structural Stability and Dynamics, 20(10), 146313.MathSciNetCrossRef Sadeghi, F., Li, J., & Zhu, X. (2020). A steel-concrete composite beam element for structural damage identification. International Journal of Structural Stability and Dynamics, 20(10), 146313.MathSciNetCrossRef
Zurück zum Zitat Seventekidis, P., Giagopoulos, D., Arailopoulos, A., & Markogiannaki, O. (2020). Structural health monitoring using deep learning with optimal finite element model generated data. Mechanical Systems and Signal Processing, 145, 106972.CrossRef Seventekidis, P., Giagopoulos, D., Arailopoulos, A., & Markogiannaki, O. (2020). Structural health monitoring using deep learning with optimal finite element model generated data. Mechanical Systems and Signal Processing, 145, 106972.CrossRef
Zurück zum Zitat Shahsavari, V., Chouinard, L., & Bastien, J. (2017). Wavelet-based analysis of mode shapes for statistical detection and localization of damage in beams using likelihood ratio test. Engineering Structures, 132, 494–507.CrossRef Shahsavari, V., Chouinard, L., & Bastien, J. (2017). Wavelet-based analysis of mode shapes for statistical detection and localization of damage in beams using likelihood ratio test. Engineering Structures, 132, 494–507.CrossRef
Zurück zum Zitat Singh, M. P., Elbadawy, M. Z., & Bisht, S. S. (2018). Dynamic strain response measurement-based damage identification in structural frames. Structural Control and Health Monitoring, 25(7), 2181.CrossRef Singh, M. P., Elbadawy, M. Z., & Bisht, S. S. (2018). Dynamic strain response measurement-based damage identification in structural frames. Structural Control and Health Monitoring, 25(7), 2181.CrossRef
Zurück zum Zitat Skoglund, O., Leander, J., & Karoumi, R. (2020). Overview of steel bridges containing high strength steel. International Journal of Steel Structures, 20(4), 1294–1301.CrossRef Skoglund, O., Leander, J., & Karoumi, R. (2020). Overview of steel bridges containing high strength steel. International Journal of Steel Structures, 20(4), 1294–1301.CrossRef
Zurück zum Zitat Takeda, M., Ina, H., & Kobayashi, S. (1982). Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry. Journal of the Optical Society of America, 72(1), 156–160.CrossRef Takeda, M., Ina, H., & Kobayashi, S. (1982). Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry. Journal of the Optical Society of America, 72(1), 156–160.CrossRef
Zurück zum Zitat Tiachacht, S., et al. (2018). Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm. Engineering Structures, 177, 421–430.CrossRef Tiachacht, S., et al. (2018). Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm. Engineering Structures, 177, 421–430.CrossRef
Zurück zum Zitat Tran, L. Q., Nguyen, T. D., Le, C. M., Nguyen, T. Q., & Ngo, N. K. (2020). Structural health monitoring on spans using the resonance regions of the power spectrum density (R-PSD). Vietnam Journal of Science and Technology, 57(6A), 141–149. Tran, L. Q., Nguyen, T. D., Le, C. M., Nguyen, T. Q., & Ngo, N. K. (2020). Structural health monitoring on spans using the resonance regions of the power spectrum density (R-PSD). Vietnam Journal of Science and Technology, 57(6A), 141–149.
Zurück zum Zitat Varmazyar, M., Haritos, N., & Gad, E., (2012). Genetic Algorithm-based Approach for Bayesian Genetic Algorithm-based Approach for Bayesian in Beam-like Structures. Barossa Valley, South Australia. Varmazyar, M., Haritos, N., & Gad, E., (2012). Genetic Algorithm-based Approach for Bayesian Genetic Algorithm-based Approach for Bayesian in Beam-like Structures. Barossa Valley, South Australia.
Zurück zum Zitat Yan, W.-J., & Ren, W.-X. (2012). Operational modal parameter identification from power spectrum density transmissibility. Computer-Aided Civil and Infrastructure Engineering, 27, 202–217.CrossRef Yan, W.-J., & Ren, W.-X. (2012). Operational modal parameter identification from power spectrum density transmissibility. Computer-Aided Civil and Infrastructure Engineering, 27, 202–217.CrossRef
Zurück zum Zitat Yan, Y. J., Cheng, L., Wu, Z. Y., & Yam, L. H. (2007). Development in vibration-based structural damage detection technique. Mechanical System and Signal Processing, 21(5), 2198–2211.CrossRef Yan, Y. J., Cheng, L., Wu, Z. Y., & Yam, L. H. (2007). Development in vibration-based structural damage detection technique. Mechanical System and Signal Processing, 21(5), 2198–2211.CrossRef
Zurück zum Zitat Zenzen, R., et al. (2020). A modified transmissibility indicator and artificial neural network for damage identification and quantification in laminated composite structures. Composite Structures, 248, 112497.CrossRef Zenzen, R., et al. (2020). A modified transmissibility indicator and artificial neural network for damage identification and quantification in laminated composite structures. Composite Structures, 248, 112497.CrossRef
Zurück zum Zitat Zhang, Z., & Sun, C. (2021). Structural damage identification via physics-guided machine learning: A methodology integrating pattern recognition with finite element model updating. Structural Health Monitoring, 20(4), 1675–1688.CrossRef Zhang, Z., & Sun, C. (2021). Structural damage identification via physics-guided machine learning: A methodology integrating pattern recognition with finite element model updating. Structural Health Monitoring, 20(4), 1675–1688.CrossRef
Zurück zum Zitat Zhou, X., et al. (2020). A study of the cumulative impact forces of stainless-steel reinforced concrete pier. International Journal of Steel Structures, 20(1), 13–22.CrossRef Zhou, X., et al. (2020). A study of the cumulative impact forces of stainless-steel reinforced concrete pier. International Journal of Steel Structures, 20(1), 13–22.CrossRef
Metadaten
Titel
Structural Monitoring of a Defective Steel Beam Model Based on Image Changes in Power Spectral Density
verfasst von
Thanh Q. Nguyen
Tuan A. Nguyen
Thuy T. Nguyen
Publikationsdatum
29.06.2022
Verlag
Korean Society of Steel Construction
Erschienen in
International Journal of Steel Structures / Ausgabe 4/2022
Print ISSN: 1598-2351
Elektronische ISSN: 2093-6311
DOI
https://doi.org/10.1007/s13296-022-00627-w

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