Structural health monitoring with statistical methods during progressive damage test of S101 Bridge
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Output covariances are essential for generating reliable diagnostics for damage detection.
“the output covariances are essential for generating reliable diagnostics for damage detection.”
From Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring (2024) · cites this paper as Döhler et al., 2014
Monitoring systems often use higher-order statistical moments such as covariances for uncertainty quantification and damage detection.
“and thus, monitoring systems often use higher-order statistical moments such as covariances for uncertainty quantification and damage detection (Döhler et al., 2014;Montgomery, 2007).”
From Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring (2024) · cites this paper as Döhler et al., 2014
Uncertainty quantification, meaning the estimation and analysis of measurement errors and variability, is equally important as evaluating mean values.
“Experience with large engineering systems, however, has shown that uncertainty quantification (the estimation and analysis of the measurement errors and variability) is equally important as evaluating the mean values”
From Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring (2024) · cites this paper as Döhler et al., 2014
Cites
Subspace identification for linear systems: theory, implementation, applications
Overschee, P. V., & Moor, B. L. R. D. (1996) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,271 · see citing works
Vibration-based Damage Identification Methods: A Review and Comparative Study
Fan, W., & Qiao, P. (2010) · Structural Health Monitoring · doi:10.1177/1475921710365419 · Cited by 2,047 · see citing works
Vibration Based Condition Monitoring: A Review
Carden, E. P., & Fanning, P. (2004) · Structural Health Monitoring · doi:10.1177/1475921704047500 · Cited by 1,549 · see citing works
REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS
Peeters, B., & Roeck, G. D. (1999) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.1999.1249 · Cited by 1,533 · see citing works
Structural health monitoring of civil infrastructure
Brownjohn, J. (2006) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2006.1925 · Cited by 1,002 · see citing works
Vibration–based structural damage identification
Farrar, C. R., Doebling, S. W., & Nix, D. A. (2001) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2000.0717 · Cited by 865 · see citing works
(1993) · Cited by 822 · see citing works
Magalhães, F., Cunha, A., & Caetano, E. (2012) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2011.06.011 · Cited by 655 · see citing works
The fundamental axioms of structural health monitoring
Keith Worden, B., Farrar, C. R., Manson, G., & Park, G. (2007) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2007.1834 · Cited by 613 · see citing works
Fully automated (operational) modal analysis
Reynders, E. P. B., Houbrechts, J., & Roeck, G. D. (2012) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2012.01.007 · Cited by 473 · see citing works
Uncertainty bounds on modal parameters obtained from stochastic subspace identification
Reynders, E., Pintelon, R., & De Roeck, G. (2008) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2007.10.009 · Cited by 454 · see citing works
Monitoring historical masonry structures with operational modal analysis: Two case studies
Ramos, L. F., Marques, L., Lourenço, P. B., De Roeck, G., Campos-Costa, A., & Roque, J. (2010) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2010.01.011 · Cited by 443 · see citing works
Fundamental Axioms of Structural Health Monitoring
Farrar, C. R., & Keith Worden, B. (2012) · Structural Health Monitoring · doi:10.1002/9781118443118.ch13 · Cited by 351 · see citing works
Subspace-based fault detection algorithms for vibration monitoring
Basseville, M., Abdelghani, M., & Benveniste, A. (2000) · Automatica · doi:10.1016/s0005-1098(99)00093-x · Cited by 296 · see citing works
Basseville, M., Mevel, L., & Goursat, M. (2003) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2003.07.016 · Cited by 164 · see citing works
Self-citationEfficient multi-order uncertainty computation for stochastic subspace identification
Döhler, M., & Mevel, L. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.01.012 · Cited by 163 · see citing works
Self-citationDynamic monitoring of a long span arch bridge
Magalhães, F., Cunha, Á. A. M. F., & Caetano, E. (2008) · Engineering Structures · doi:10.1016/j.engstruct.2008.04.020 · Cited by 163 · see citing works
DAMAGE DETECTION OF THE Z24 BRIDGE USING CONTROL CHARTS
Kullaa, J. (2003) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.2002.1555 · Cited by 147 · see citing works
Döhler, M., Lam, X.-B., & Mevel, L. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2012.11.011 · Cited by 114 · see citing works
Self-citationSingle sample modal identification of a nonstationary stochastic process
Benveniste, A., & Fuchs, J.-J. (1985) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1985.1103787 · Cited by 106 · see citing works
Subspace-based damage detection under changes in the ambient excitation statistics
Döhler, M., Mevel, L., & Hille, F. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.10.023 · Cited by 101 · see citing works
Self-citationPolder, R. B., Peelen, W. H. A., & Courage, W. M. G. (2012) · Materials and Corrosion · doi:10.1002/maco.201206725 · Cited by 86 · see citing works
Fast multi-order computation of system matrices in subspace-based system identification
Döhler, M., & Mevel, L. (2012) · Control Engineering Practice · doi:10.1016/j.conengprac.2012.05.005 · Cited by 75 · see citing works
Self-citationMerging Sensor Data from Multiple Temperature Scenarios for Vibration Monitoring of Civil Structures
Balmès, É., Basseville, M., Bourquin, F., Mevel, L., Nasser, H., & Treyssède, F. (2008) · Structural Health Monitoring · doi:10.1177/1475921708089823 · Cited by 75 · see citing works
Self-citationNonstationary Consistency of Subspace Methods
Benveniste, A., & Mevel, L. (2007) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2007.898970 · Cited by 59 · see citing works
Self-citationRobust Fault Detection With Statistical Uncertainty in Identified Parameters
Dong, J., Verhaegen, M., & Gustafsson, F. (2012) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2208638 · Cited by 59 · see citing works
Rainieri, C., Fabbrocino, G., Manfredi, G., & Dolce, M. (2011) · Engineering Structures · doi:10.1016/j.engstruct.2011.10.001 · Cited by 50 · see citing works
Bridge and Highway Structure Rehabilitation and Repair
Khan, M. A. (2010) · Cited by 21 · see citing works
Ermüdungsbeanspruchungen von Betonbrücken unter zunehmendem Schwerverkehr
Grünberg, J., Hansen, M., & Liebig, J. P. (2007) · Beton- und Stahlbetonbau · doi:10.1002/best.200700569 · Cited by 10 · see citing works
Brückenertüchtigung – eine notwendige Voraussetzung für ein zuverlässiges Fernstraßennetz
Colditz, B. (2013) · Bautechnik · doi:10.1002/bate.201300013 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Vibration-based structural state identification by a 1-dimensional convolutional neural network
Zhang, Y., Miyamori, Y., Mikami, S., & Saito, T. (2019) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12447 · Cited by 307 · see citing works
Three decades of statistical pattern recognition paradigm for SHM of bridges
Figueiredo, E., & Brownjohn, J. (2022) · Structural Health Monitoring · doi:10.1177/14759217221075241 · Cited by 251 · see citing works
Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge
Chang, K. C., & Kim, C. (2016) · Engineering Structures · doi:10.1016/j.engstruct.2016.04.057 · Cited by 240 · see citing works
The Current Development of Structural Health Monitoring for Bridges: A Review
Deng, Z., Huang, M., Wan, N., & Zhang, J. (2023) · Buildings · doi:10.3390/buildings13061360 · Cited by 238 · see citing works
Structural Health Monitoring using deep learning with optimal finite element model generated data
Seventekidis, P., Giagopoulos, D., Αραϊλόπουλος, Α., & Markogiannaki, O. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.106972 · Cited by 186 · see citing works
Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review
Eltouny, K., Gomaa, M., & Liang, X. P. (2023) · Sensors · doi:10.3390/s23063290 · Cited by 163 · see citing works
Svendsen, B. T., Frøseth, G. T., Øiseth, O. A., & Rønnquist, A. N. (2021) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-021-00530-8 · Cited by 127 · see citing works
A DBSCAN-based automated operational modal analysis algorithm for bridge monitoring
Civera, M., Sibille, L., Fragonara, L. Z., & Ceravolo, R. (2023) · Measurement · doi:10.1016/j.measurement.2023.112451 · Cited by 117 · see citing works
A quality-based automated procedure for operational modal analysis
Zini, G., Betti, M., & Bartoli, G. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108173 · Cited by 107 · see citing works
Ahmadzadeh, M., Zahrai, S. M., & Bitaraf, M. (2024) · Structural Health Monitoring · doi:10.1177/14759217241239041 · Cited by 104 · see citing works
Mellinger, P., Döhler, M., & Mevel, L. (2016) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2016.05.037 · Cited by 97 · see citing works
Self-citationA Feature Extraction & Selection Benchmark for Structural Health Monitoring
Buckley, T., Ghosh, B., & Pakrashi, V. (2022) · Structural Health Monitoring · doi:10.1177/14759217221111141 · Cited by 95 · see citing works
Seventekidis, P., & Giagopoulos, D. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.107735 · Cited by 91 · see citing works
Uncertainty quantification of the Modal Assurance Criterion in operational modal analysis
Greś, S., Döhler, M., & Mevel, L. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107457 · Cited by 87 · see citing works
Self-citationA domain adaptation approach to damage classification with an application to bridge monitoring
Giglioni, V., Poole, J., Venanzi, I., Ubertini, F., & Keith Worden, B. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111135 · Cited by 85 · see citing works
Ambient and Vehicle-Induced Vibration Data of a Steel Truss Bridge Subject to Artificial Damage
Kim, C., Zhang, F., Chang, K. C., McGetrick, P. J., & Goi, Y. (2021) · Journal of Bridge Engineering · doi:10.1061/(asce)be.1943-5592.0001730 · Cited by 81 · see citing works
Yan, W., Chronopoulos, D., Yuen, K., & Zhu, Y. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108009 · Cited by 80 · see citing works
A temperature-driven MPCA method for structural anomaly detection
Zhu, Y., Ni, Y., Jin, H., Inaudi, D., & Laory, I. (2019) · Engineering Structures · doi:10.1016/j.engstruct.2019.04.004 · Cited by 78 · see citing works
Model Updating in Complex Bridge Structures using Kriging Model Ensemble with Genetic Algorithm
Qin, S., Zhou, Y., Cao, H., & Wahab, M. M. A. (2017) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-017-1107-7 · Cited by 77 · see citing works
Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview
Shokravi, H., Shokravi, H., Bakhary, N., Koloor, S. S. R., & Petrů, M. (2020) · Applied Sciences · doi:10.3390/app10082786 · Cited by 76 · see citing works
He, Y., Yang, J. P., & Li, Y. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.113891 · Cited by 78 · see citing works
Entezami, A., Sarmadi, H., Salar, M., Michele, C. D., & Arslan, A. N. (2021) · Structural Health Monitoring · doi:10.1177/1475921720973953 · Cited by 71 · see citing works
Seismic assessment of bridges through structural health monitoring: a state-of-the-art review
Karakostas, C., Quaranta, G., Chatzi, E., Zülfikar, A. C., Çetindemir, O., Roeck, G. D., Döhler, M., Limongelli, M. P., Lombaert, G., Apaydın, N. M., et al. (2023) · Bulletin of Earthquake Engineering · doi:10.1007/s10518-023-01819-3 · Cited by 65 · see citing works
Self-citationUnsupervised deep learning approach for structural anomaly detection using probabilistic features
Wan, H., Zhu, Y.-K., Luo, Y., & Todd, M. D. (2024) · Structural Health Monitoring · doi:10.1177/14759217241226804 · Cited by 61 · see citing works
Assessment of bridge natural frequency as an indicator of scour using centrifuge modelling
Kariyawasam, K. K. G. K. D., Middleton, C., Madabhushi, S., Haigh, S. K., & Talbot, J. P. (2020) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-020-00420-5 · Cited by 55 · see citing works
On Population-based structural health monitoring for bridges
Gosliga, J., Hester, D., Keith Worden, B., & Bunce, A. (2022) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2022.108919 · Cited by 57 · see citing works
A new open‐database benchmark structure for vibration‐based Structural Health Monitoring
Wernitz, S., Hofmeister, B., Jonscher, C., Grießmann, T., & Rolfes, R. (2022) · Structural Control and Health Monitoring · doi:10.1002/stc.3077 · Cited by 57 · see citing works
Structural modification assessment using supervised learning methods applied to vibration data
Alves, V. N., Cury, A., Roitman, N., Magluta, C., & Crémona, C. (2015) · Engineering Structures · doi:10.1016/j.engstruct.2015.05.003 · Cited by 57 · see citing works
Structural Damage Detection Based on Real-Time Vibration Signal and Convolutional Neural Network
Teng, Z., Teng, S., Zhang, J., Chen, G., & Cui, F. (2020) · Applied Sciences · doi:10.3390/app10144720 · Cited by 54 · see citing works
Hu, W., Tang, D., Teng, J., Said, S., & Rohrmann, R. G. (2018) · Sensors · doi:10.3390/s18124117 · Cited by 51 · see citing works
Döhler, M., Mevel, L., & Zhang, Q. (2016) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2016.08.002 · Cited by 46 · see citing works
Self-citationShokravi, H., Shokravi, H., Bakhary, N., Heidarrezaei, M., Koloor, S. S. R., & Petrů, M. (2020) · Applied Sciences · doi:10.3390/app10103607 · Cited by 41 · see citing works
Seventekidis, P., & Giagopoulos, D. (2023) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2022.109741 · Cited by 37 · see citing works
Rinaldi, C., Ciambella, J., & Gattulli, V. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108640 · Cited by 38 · see citing works
Damage identification in bridge structures: review of available methods and case studies
Karimi, S., & Mirza, O. (2022) · Australian Journal of Structural Engineering · doi:10.1080/13287982.2022.2120239 · Cited by 35 · see citing works
Statistical methods for damage detection applied to civil structures
Greś, S., Ulriksen, M. D., Döhler, M., Johansen, R. J., Andersen, P., Damkilde, L., & Nielsen, S. A. (2017) · Procedia Engineering · doi:10.1016/j.proeng.2017.09.280 · Cited by 34 · see citing works
Self-citationQuqa, S., Landi, L., & Diotallevi, P. P. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.106750 · Cited by 34 · see citing works
Uncertainty quantification for the Modal Phase Collinearity of complex mode shapes
Greś, S., Döhler, M., Andersen, P., & Mevel, L. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107436 · Cited by 33 · see citing works
Self-citationLiu, H., Wang, X., Jiao, Y., He, X. Z., & Wang, B. (2016) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2016.1227854 · Cited by 32 · see citing works
Yang, Y., Ma, T., & Ge, Y. (2015) · Wind and Structures · doi:10.12989/was.2015.20.6.719 · Cited by 28 · see citing works
Chen, C., Wu, W., Chun-yan, L., & Lai, G. (2017) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2017.1375962 · Cited by 27 · see citing works
Towards robust statistical damage localization via model-based sensitivity clustering
Allahdadian, S., Döhler, M., Ventura, C. E., & Mevel, L. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106341 · Cited by 27 · see citing works
Self-citationGreś, S., Riva, R., Yeniceli, S. C., Andersen, P., & Łuczak, M. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.114001 · Cited by 27 · see citing works
Su, L. Y., Huang, X. Y., Song, M.-L., & LaFave, J. M. (2020) · Structures · doi:10.1016/j.istruc.2020.08.077 · Cited by 26 · see citing works
A dynamic harmonic regression approach for bridge structural health monitoring
Buckley, T., Pakrashi, V., & Ghosh, B. (2021) · Structural Health Monitoring · doi:10.1177/1475921720981735 · Cited by 26 · see citing works
Monitoring of concrete structures with optical fiber sensors
Khadour, A., & Waeytens, J. (2018) · Elsevier eBooks · doi:10.1016/b978-0-08-102181-1.00005-8 · Cited by 26 · see citing works
Mousavi, V., Rashidi, M., Ghazimoghadam, S., & Samali, B. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103534 · Cited by 25 · see citing works
Du, F., Pan, S., & Li, D. (2018) · Latin American Journal of Solids and Structures · doi:10.1590/1679-78255339 · Cited by 25 · see citing works
Long-term bridge health monitoring and performance assessment based on a Bayesian approach
Kim, C., Zhang, Y., Wang, Z., Oshima, Y., & Morita, T. (2018) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2018.1436572 · Cited by 25 · see citing works
Vibration‐based damage localization with load vectors under temperature changes
Bhuyan, M., Gautier, G., Touz, N. L., Döhler, M., Hille, F., Dumoulin, J., & Mevel, L. (2019) · Structural Control and Health Monitoring · doi:10.1002/stc.2439 · Cited by 25 · see citing works
Self-citationSubspace-based modal identification and uncertainty quantification from video image flows
Merainani, B., Xiong, B., Baltazart, V., Döhler, M., Dumoulin, J., & Zhang, Q. (2023) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2023.117957 · Cited by 24 · see citing works
Self-citationMei, L.-F., Yan, W., Yuen, K., & Beer, M. (2022) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2022.117277 · Cited by 24 · see citing works
Modal strain monitoring of the old Nieuwebrugstraat Bridge: Local damage versus temperature effects
Anastasopoulos, D., & Reynders, E. P. B. (2023) · Engineering Structures · doi:10.1016/j.engstruct.2023.116854 · Cited by 24 · see citing works
Chen, C., Wu, W., Liu, C., & Lai, G. (2016) · Smart Structures and Systems · doi:10.12989/sss.2016.17.6.859 · Cited by 22 · see citing works
Peng, H., Yan, J., Yu, Y., & Luo, Y. (2021) · International Journal of Structural Stability and Dynamics · doi:10.1142/s0219455421501406 · Cited by 22 · see citing works
On Damage Detection System Information for Structural Systems
Thöns, S., Döhler, M., & Long, L. (2018) · Structural Engineering International · doi:10.1080/10168664.2018.1459222 · Cited by 21 · see citing works
Self-citationKaryofyllas, G., & Giagopoulos, D. (2024) · Engineering Failure Analysis · doi:10.1016/j.engfailanal.2024.108052 · Cited by 21 · see citing works
Amador, S., Magalhães, F., Cunha, Á. A. M. F., & Caetano, E. (2017) · Engineering Structures · doi:10.1016/j.engstruct.2016.12.060 · Cited by 21 · see citing works
Wu, W., Wang, S., Chen, C., & Lai, G. (2017) · Smart Materials and Structures · doi:10.1088/1361-665x/aa6ae6 · Cited by 21 · see citing works
Pendulum-Type Hetero-Core Fiber Optic Accelerometer for Low-Frequency Vibration Monitoring
Yamazaki, H., Kurose, I., Nishiyama, M., & Watanabe, K. (2018) · Sensors · doi:10.3390/s18082528 · Cited by 19 · see citing works
Jiang, S., Zhao, L., & Du, C. (2022) · Structural Health Monitoring · doi:10.1177/14759217211072237 · Cited by 20 · see citing works
Quqa, S., Lasri, O., Delo, G., Giordano, P. F., Surace, C., Marzani, A., & Limongelli, M. P. (2025) · Structural Health Monitoring · doi:10.1177/14759217241310525 · Cited by 18 · see citing works
Subspace-Based Damage Detection on Steel Frame Structure Under Changing Excitation
Döhler, M., & Hille, F. (2014) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-319-04570-2_19 · Cited by 18 · see citing works
Self-citationSubspace‐based Mahalanobis damage detection robust to changes in excitation covariance
Greś, S., Döhler, M., Andersen, P., & Mevel, L. (2021) · Structural Control and Health Monitoring · doi:10.1002/stc.2760 · Cited by 16 · see citing works
Self-citationStatistical subspace-based damage detection with estimated reference
Viefhues, E., Döhler, M., Hille, F., & Mevel, L. (2022) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.108241 · Cited by 16 · see citing works
Self-citationStatistical vibration-based damage localization for the S101 bridge, Flyover Reibersdorf, Austria
Fathi, A., & Limongelli, M. P. (2020) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2020.1777570 · Cited by 16 · see citing works
Identification of damage-induced frequency decay on a large-scale model bridge
Tarozzi, M., Pignagnoli, G., & Benedetti, A. (2020) · Engineering Structures · doi:10.1016/j.engstruct.2020.111039 · Cited by 17 · see citing works
In situ seismic testing for experimental modal analysis of civil structures
Bertero, S., Tarazaga, P. A., & Sarlo, R. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.114773 · Cited by 15 · see citing works
Joseph, H., Quaranta, G., Carboni, B., & Lacarbonara, W. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-024-10270-1 · Cited by 14 · see citing works
Features of Cross-Correlation Analysis in a Data-Driven Approach for Structural Damage Assessment
Camacho-Navarro, J., Ordóñez, M. R., Villamizar, R., Delgado, L. E. M., & Mendez, J. E. Q. (2018) · Sensors · doi:10.3390/s18051571 · Cited by 15 · see citing works
Erdenebat, D., Waldmann, D., & Teferle, F. N. (2018) · Engineering Structures · doi:10.1016/j.engstruct.2018.12.017 · Cited by 15 · see citing works
Confounder-adjusted covariances of system outputs and applications to structural health monitoring
Neumann, L., Wittenberg, P., Mendler, A., & Gertheiss, J. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111983 · Cited by 14 · see citing works
Subspace features and statistical indicators for neural network-based damage detection
Rosso, M. M., Aloisio, A., Cirrincione, G., & Marano, G. C. (2023) · Structures · doi:10.1016/j.istruc.2023.06.123 · Cited by 14 · see citing works
Dynamic Behavior of Super High-Rise Building: Deployment of Smart Monitoring System and Analysis
Chen, Z., Zhou, X., Wang, X., Zhao, P., & Hu, J. L. (2020) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0002559 · Cited by 14 · see citing works
González-Arteaga, J., Alonso, J., Moya, M., Merlo, Ó., Navarro, V., & Yustres, Á. (2019) · Engineering Structures · doi:10.1016/j.engstruct.2019.110111 · Cited by 12 · see citing works
Structural damage detection of old ADA steel truss bridge using vibration data
Al-Ghalib, A. (2022) · Structural Control and Health Monitoring · doi:10.1002/stc.3098 · Cited by 11 · see citing works
Vibration-Based Monitoring of Civil Structures with Subspace-Based Damage Detection
Döhler, M., Hille, F., & Mevel, L. (2018) · International series on intelligent systems, control and automation: science and engineering · doi:10.1007/978-3-319-68646-2_14 · Cited by 11 · see citing works
Self-citationOn the use of domain adaptation techniques for bridge damage detection in a changing environment
Giglioni, V., Poole, J., Venanzi, I., Ubertini, F., & Keith Worden, B. (2023) · ce/papers · doi:10.1002/cepa.2143 · Cited by 10 · see citing works
Damage detection in bridges based on patterns of dynamic amplification
González, A., & Mohammed, O. (2019) · Structural Control and Health Monitoring · doi:10.1002/stc.2361 · Cited by 10 · see citing works
Statistical damage localization with stochastic load vectors using multiple mode sets
Bhuyan, M., Döhler, M., Lecieux, Y., Mevel, L., & Schoefs, F. (2017) · Structural Health Monitoring · doi:10.1177/1475921717714447 · Cited by 10 · see citing works
Self-citationMei, L.-F., & Yan, W. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103926 · Cited by 9 · see citing works
Esfehani, S. A. H., Shariatmadar, H., & Entezami, A. (2022) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-022-00636-7 · Cited by 9 · see citing works
Soleimani-Babakamali, R., Soleimani‐Babakamali, M. H., Heravi, M. A., Askari, M., Avcı, O., & Taciroğlu, E. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111743 · Cited by 9 · see citing works
Marrongelli, G., Gentile, C., & Saisi, A. (2019) · Structural integrity · doi:10.1007/978-3-030-29227-0_47 · Cited by 9 · see citing works
Karyofyllas, G., Giagopoulos, D., Jia, X., & Papadimitriou, C. (2025) · Structural Health Monitoring · doi:10.1177/14759217251324110 · Cited by 8 · see citing works
Pirskawetz, S. M., Steinbock, O., Hille, F., Schmidt, S., & Hofmann, D. (2022) · Beton- und Stahlbetonbau · doi:10.1002/best.202200052 · Cited by 8 · see citing works
Self-citationCadoret, A., Denimal, E., Leroy, J.-M., Pfister, J.-L., & Mevel, L. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111982 · Cited by 8 · see citing works
Self-citationVardanega, P. J., Webb, G. T., Fidler, P. R. A., Huseynov, F., Kariyawasam, K. K. G. K. D., & Middleton, C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823550-8.00023-8 · Cited by 9 · see citing works
Monitoring data of the openLAB research bridge – Part 1: Reference condition
Jansen, A., Herbers, M., Richter, B., Walker, M., Jesse, F., & Marx, S. (2025) · Data in Brief · doi:10.1016/j.dib.2025.111624 · Cited by 8 · see citing works
A Comparison of Damage Detection Methods Applied to Civil Engineering Structures
Greś, S., Andersen, P., Johansen, R. J., Ulriksen, M. D., & Damkilde, L. (2017) · Lecture notes in civil engineering · doi:10.1007/978-3-319-67443-8_26 · Cited by 7 · see citing works
Zhang, W., Li, H., Fu, X., & Gu, Z. (2025) · Structural Control and Health Monitoring · doi:10.1155/stc/8821227 · Cited by 6 · see citing works
Whelan, M. J., Gangone, M. V., & Janoyan, K. D. (2025) · Journal of Bridge Engineering · doi:10.1061/jbenf2.beeng-7318 · Cited by 6 · see citing works
Viefhues, E., Döhler, M., Hille, F., & Mevel, L. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.09.610 · Cited by 6 · see citing works
Self-citationEnergy dissipation and absorption capacity influence on experimental modal parameters of a PC girder
Vera, O. S. L., Kim, C. W., & Oshima, Y. (2017) · Journal of Physics Conference Series · doi:10.1088/1742-6596/842/1/012038 · Cited by 6 · see citing works
Sensitivity Evaluation of Subspace-Based Damage Detection Method to Different Types of Damage
Allahdadian, S., Ventura, C. E., Andersen, P., Mevel, L., & Döhler, M. (2015) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-319-15230-1_2 · Cited by 6 · see citing works
Self-citationMerainani, B., Xiong, B., Baltazart, V., Dumoulin, J., Döhler, M., & Zhang, Q. (2021) · doi:10.1117/12.2595019 · Cited by 5 · see citing works
Self-citationEffect of bridge foundation stiffness on dynamic behavior of bridge structure
Quang, M. T., Sousa, H. S., Duc, B. N., Matos, J. C., Bento, A. M., Fazeres-Ferradosa, T., & Nguyen, H. X. (2023) · Report · doi:10.2749/newdelhi.2023.0500 · Cited by 5 · see citing works
Döhler, M., Zhang, Q., & Mevel, L. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.12.261 · Cited by 5 · see citing works
Self-citationDamage Localization of a Real Structure using the Statistical Subspace Damage Localization Method
Allahdadian, S., Döhler, M., Ventura, C. E., & Mevel, L. (2017) · International Workshop on Structural Health Monitoring (IWSHM) · doi:10.12783/shm2017/14136 · Cited by 4 · see citing works
Self-citationSeventekidis, P., Zacharakis, I., & Giagopoulos, D. (2021) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-030-76004-5_32 · Cited by 4 · see citing works
- Authors
- Döhler, M., Hille, F., Mevel, L., & Rücker, W.
- Affiliations
- Federal Institute For Materials Research and Testing (DE)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Corresponding author
- Döhler, Michael
- Venue
- Engineering Structures
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 69
- Pages
- 183-193
- ISSN
- 0141-0296 (ISSN-L)
- OpenAlex
- W2075535323
- Cited by
- 156
- References
- 30
- Citations by year
- 2026: 10 · 2025: 14 · 2024: 16 · 2023: 19 · 2022: 19 · 2021: 17 · 2020: 15 · 2019: 9 · 2018: 13 · 2017: 12 · 2016: 5 · 2015: 6 · 2014: 1
- FWCI
- 15.34
- Type
- journal article
- Language
- en
- Open access
- green
- inria.hal.science
- Licence
- other-oa
- Locations
- Engineering Structures (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Vibration Analysis
- Keywords
- structural health monitoring, vibration-based damage detection, subspace methods, modal parameter identification, confidence intervals, ambient vibration, prestressed concrete bridges, statistical uncertainty, non-stationary excitation, model reduction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review