Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 267

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Environmental effects on the identified natural frequencies of the Dowling Hall Footbridge

Moser, Peter, Moaveni, Babak·2011·Mechanical Systems and Signal Processing
DOI 10.1016/j.ymssp.2011.03.005
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ymssp.2011.03.005

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 35

  1. Farrar, 2007, An introduction to structural health monitoring, Philosophical Transactions of the Royal Society A, 365, 303, 10.1098/rsta.2006.1928 · DOI · Paper page
  2. Khanukhov, 1986, Dynamic elasticity modulus for low-carbon steel in the climactic temperature range, Central Scientific-Research Institute of designing steel structures, Moscow, translated from Problemy Prochnosti, 7, 55
  3. Sabeur, 2007, Elastic strain, Young's modulus variation during uniform heating of concrete, Magazine of Concrete Research, 59, 559, 10.1680/macr.2007.59.8.559 · DOI
  4. Watson, 2000, Seasonal variation in material properties of a flexible pavement, Canadian Journal of Civil Engineering, 27, 44, 10.1139/l99-049 · doi:10.1139/l99-049
  5. Chen, 2004, Dynamic analysis of modal shifting and mode jumping in thermally buckled plates, Journal of Sound and Vibration 278(1–2), 233, 10.1016/j.jsv.2003.10.054 · doi:10.1016/j.jsv.2003.10.054
  6. Sohn, 2003, Effects of environmental and operational variability on structural health monitoring, Philosophical Transactions of the Royal Society A, 365, 539, 10.1098/rsta.2006.1935 · DOI · Paper page
  7. Marchesiello, 2009, Time dependent identification of a bridge-like structure with crossing loads, Mechanical Systems and Signal Processing, 23, 2019, 10.1016/j.ymssp.2009.01.010 · doi:10.1016/j.ymssp.2009.01.010
  8. Chen, 2009, Bridge structural condition assessment based on vibration and traffic monitoring, Journal of Engineering Mechanics, 135, 747, 10.1061/(ASCE)0733-9399(2009)135:8(747) · doi:10.1061/(asce)0733-9399(2009)135:8(747
  9. Minh, 2000, Aeroelastic complex mode analysis for coupled gust response of the Akashi Kaikyo bridge model, Journal of Wind Engineering and Industrial Aerodynamics, 88, 307, 10.1016/S0167-6105(00)00056-8 · doi:10.1016/s0167-6105(00)00056-8
  10. Siringoringo, 2006, Observed dynamic performance of the Yokohama-Bay Bridge from system identification using seismic records, Structural Control and Health Monitoring, 13, 226, 10.1002/stc.135 · doi:10.1002/stc.135
  11. B. Moaveni, X. He, J.P. Conte, M. Fraser, A. Elgamal, Uncertainty Analysis of Voigt Bridge Modal Parameters Due to Changing Environmental Condition, in: Proceedings of the International Conference on Modal Analysis (IMAC-XXVII), Orlando, Florida, 2009.
  12. Cornwell, 1999, Environmental variability of modal properties, Experimental Techniques, 23, 45, 10.1111/j.1747-1567.1999.tb01320.x · DOI
  13. X. He, Vibration-based damage identification and health monitoring of civil structures, Ph.D. thesis, Department of Structural Engineering, University of California, San Diego, 2008.
  14. B. Peeters, System Identification and Damage Detection in Civil Engineering, Ph.D. thesis, Department of Civil Engineering, K.U. Leuven, Belgium, 2000.
  15. G. Manson, Identifying damage sensitive, environment insensitive features for damage detection, in: Proceedings of the Third International Conference on Identification in Engineering Systems, Swansea, Wales, 2002.
  16. Kullaa, 2009, Eliminating environmental or operational influences in structural health monitoring using the missing data analysis, Journal of Intelligent Material Systems and Structures, 20, 1381, 10.1177/1045389X08096050 · DOI
  17. Vanlanduit, 2005, A robust singular value decomposition for damage detection under changing operational conditions and structural uncertainties, Journal of Sound and Vibration, 284, 1033, 10.1016/j.jsv.2004.07.016 · DOI
  18. Yan, 2005, Structural damage diagnosis under varying environmental conditions—Part I: A linear analysis, Mechanical Systems and Signal Processing, 19, 847, 10.1016/j.ymssp.2004.12.002 · DOI · Paper page
  19. Yan, 2005, Structural damage diagnosis under varying environmental conditions—Part II: Local PCA for non-linear cases, Mechanical Systems and Signal Processing, 19, 865, 10.1016/j.ymssp.2004.12.003 · DOI · Paper page
  20. M. Basseville, F. Bourquin, L. Mevel, H. Nasser, F. Treyssède, Merging sensor data from multiple temperature scenarios for vibration-based monitoring of civil structures, in: Proceedings of the Third European Workshop on Structural Health Monitoring, Granada, Spain, 2006.
  21. Peeters, 2001, One-year monitoring of the Z24-Bridge: Environmental effects versus damage events, Earthquake Engineering and Structural Dynamics, 30, 149, 10.1002/1096-9845(200102)30:2<149::AID-EQE1>3.0.CO;2-Z · DOI
  22. E. Cross, K. Worden, K.Y. Koo, J.M.W. Brownjohn, Modeling environmental effects on the dynamic characteristics of the Tamar suspension bridge, in: Proceedings of the International Conference on Modal Analysis (IMAC-XXVIII), Jacksonville, Florida, 2010. · doi:10.1007/978-1-4419-9825-5_3
  23. Hua, 2007, Modeling of temperature-frequency correlation using combined principal component analysis and support vector regression technique, Journal of Computing in Civil Engineering, 21, 122, 10.1061/(ASCE)0887-3801(2007)21:2(122) · doi:10.1061/(asce)0887-3801(2007)21:2(122
  24. J.J. Bowman, Vibrational testing and modal identification of the Dowling Hall Footbridge at Tufts University, MS thesis, Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts, 2003.
  25. P. Moser, Continuous monitoring of the Dowling Hall Footbridge, MS thesis, Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts, 2010.
  26. Peeters, 1999, Reference-based stochastic subspace identification for output—only modal analysis, Mechanical Systems and Signal Processing, 13, 855, 10.1006/mssp.1999.1249 · DOI · Paper page
  27. Reynders, 2008, Uncertainty bounds on modal parameters obtained from stochastic subspace identification, Mechanical Systems and Signal Processing, 22, 948, 10.1016/j.ymssp.2007.10.009 · DOI · Paper page
  28. Verboven, 2002, Autonomous structural health monitoring—Part I: Modal parameter estimation and tracking, Mechanical Systems and Signal Processing, 16, 637, 10.1006/mssp.2002.1492 · DOI
  29. R.J. Allemang, D.L. Brown, A correlation coefficient for modal vector analysis, in: Proceedings of the First International Modal Analysis Conference, Bethel, Connecticut, 1982.
  30. Eastment, 1982, Cross-Validatory Choice of the Number of Components from a Principal Component Analysis, Technometrics, 24, 73, 10.2307/1267581 · doi:10.2307/1267581
  31. Kvalseth, 1985, Cautionary Note about R2, The American Statistician, 39, 279, 10.2307/2683704 · DOI · Paper page
  32. Schwarz, 1978, Estimating the dimension of a model, The Annals of Statistics, 6, 461, 10.1214/aos/1176344136 · DOI · Paper page
  33. Picard, 1984, Cross-validation of regression models, Journal of the American Statistical Association, 79, 575, 10.2307/2288403 · DOI
  34. Stone, 1974, Cross-validatory choice and assessment of statistical predictions, Journal of the Royal Statistical Society B, 36, 111, 10.1111/j.2517-6161.1974.tb00994.x · DOI · Paper page
  35. Fan, 2001, Quantitative structure—antitumor activity relationships of camptothecin analogues: Cluster analysis and genetic algorithm-based studies, Journal of Medical Chemistry, 44, 3254, 10.1021/jm0005151 · DOI

Cited by

See all 267

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)
DOI
10.1016/j.ymssp.2011.03.005
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)

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.