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Environmental effects on the identified natural frequencies of the Dowling Hall Footbridge
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Cites
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Cited by
Machine Learning for Structural Engineering: A State-of-the-Art Review
Thai, H.-T. (2022) · Structures · doi:10.1016/j.istruc.2022.02.003 · Cited by 748
Reynders, E., Wursten, G., & De Roeck, G. (2014) · Structural Health Monitoring · doi:10.1177/1475921713502836 · Cited by 237
Structural health monitoring research under varying temperature condition: a review
Han, Q., Ma, Q., Xu, J., & Liu, M. (2021) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-020-00444-x · Cited by 190
Avendaño-Valencia, L. D., Chatzi, E. N., & Tcherniak, D. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.106686 · Cited by 110
Lost data neural semantic recovery framework for structural health monitoring based on deep learning
Jiang, K., Han, Q., & Du, X. (2022) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12850 · Cited by 77
Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review
Hou, L., Chen, H., Zhang, G. (., & Wang, X. (2021) · Applied Sciences · doi:10.3390/app11020821 · Cited by 76
Kostić, B., & Gül, M. (2017) · Journal of Bridge Engineering · doi:10.1061/(asce)be.1943-5592.0001085 · Cited by 74
Hernandez, E. M. (2014) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.12.009 · Cited by 74
Mu, H.-Q., & Yuen, K.-V. (2018) · Measurement · doi:10.1016/j.measurement.2018.08.022 · Cited by 49
Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring
Neumann, L., Wittenberg, P., Mendler, A., & Gertheiss, J. (2024) · arXiv · doi:10.48550/arxiv.2409.17735 · Cited by 25
“Moser and Moaveni (2011) presented various methods and concluded that non-linear, fourth-order polynomial regression works best for temperature compensation.”
Background
Metadata
- Authors
- Moser, P., & Moaveni, B.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 25
- Issue
- 7
- Pages
- 2336-2357
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2031200027
- Cited by
- 267
- References
- 1
- FWCI
- 23.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.