The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Entropy-Based Optimal Sensor Location for Structural Model Updating
Abstract
A statistical methodology is presented for optimally locating the sensors in a structure for the purpose of extracting from the measured data the most information about the parameters of the model used to represent structural behavior. The methodology can be used in model updating and in damage detection and localization applications. It properly handles the unavoidable uncertainties in the measured data as well as the model uncertainties. The optimality criterion for the sensor locations is based on information entropy, which is a unique measure of the uncertainty in the model parameters. The uncertainty in these parameters is computed by a Bayesian statistical methodology, and then the entropy measure is minimized over the set of possible sensor configurations using a genetic algorithm. The information entropy measure is also extended to handle large uncertainties expected in the pretest nominal model of a structure. In experimental design, the proposed entropy-based measure of uncertainty is also well-suited for making quantitative evaluations and comparisons of the quality of the parameter estimates that can be achieved using sensor configurations with different numbers of sensors in each configuration. Simplified models for a shear building and a truss structure are used to illustrate the methodology.
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.
Integrity signals
Registry
Cites
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.
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
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
A Mathematical Theory of Communications
Shannon, C. E. (1948) · Cited by 2,080
Model Updating In Structural Dynamics: A Survey
Mottershead, J. E., & Friswell, M. I. (1993) · Journal of Sound and Vibration · doi:10.1006/jsvi.1993.1340 · Cited by 1,680
Sensor placement for on-orbit modal identification and correlation of large space structures
Kammer, D. C. (1991) · Journal of Guidance, Control, and Dynamics · doi:10.2514/3.20635 · Cited by 935
Where do we Stand on Maximum Entropy
Jaynes, E. T. (1979) · Medical Entomology and Zoology · Cited by 706
Bayesian Probabilistic Approach to Structural Health Monitoring
Vanik, M. W., Beck, J. L., & Au, S. K. (2000) · Journal of Engineering Mechanics · doi:10.1061/(asce)0733-9399(2000)126:7(738 · Cited by 437
Self-citationMethodology for Optimum Sensor Locations for Parameter Identification in Dynamic Systems
Udwadia, F. E. (1994) · Journal of Engineering Mechanics · doi:10.1061/(asce)0733-9399(1994)120:2(368 · Cited by 278
A Bayesian probabilistic approach for structure damage detection
Hoon Sohn, A., & Law, K. H. (1997) · Earthquake Engineering & Structural Dynamics · doi:10.1002/(sici)1096-9845(199712)26:12<1259::aid-eqe709>3.0.co;2-3 · Cited by 216
Automatic choice of measurement locations for dynamic testing
Penny, J. E. T., Friswell, M. I., & Garvey, S. D. (1994) · AIAA Journal · doi:10.2514/3.11998 · Cited by 177
A probabilistic approach to structural model updating
Katafygiotis, L. S., Papadimitriou, C., & Lam, H. (1998) · Soil Dynamics and Earthquake Engineering · doi:10.1016/s0267-7261(98)00008-6 · Cited by 146
Self-citation
Cited by
Updating robust reliability using structural test data
Papadimitriou, C., Beck, J. L., & Katafygiotis, L. S. (2001) · Probabilistic Engineering Mechanics · doi:10.1016/s0266-8920(00)00012-6 · Cited by 287
Self-citationComputational methodologies for optimal sensor placement in structural health monitoring: A review
Tan, Y., & Zhang, L. (2020) · Structural Health Monitoring · doi:10.1177/1475921719877579 · Cited by 186
Chatzis, M. N., Chatzi, E. N., & Smyth, A. W. (2015) · Structural Control and Health Monitoring · doi:10.1002/stc.1690 · Cited by 104
Structural Health Monitoring Damage Detection Systems for Aerospace
(2021) · Springer Aerospace Technology · doi:10.1007/978-3-030-72192-3 · Cited by 92
Optimal sensor placement for damage detection of bridges subject to ship collision
Guo, Y. L., Ni, Y. Q., & Chen, S. K. (2017) · Structural Control and Health Monitoring · doi:10.1002/stc.1963 · Cited by 31
Metadata
- Authors
- Papadimitriou, C., Beck, J. L., & Au, S.-K.
- Venue
- Journal of Vibration and Control
- Publisher
- SAGE Publications
- Published
- 2000-07
- Volume
- 6
- Issue
- 5
- Pages
- 781-800
- ISSN
- 1077-5463 (ISSN-L)
- 1741-2986
- OpenAlex
- W2004338573
- Cited by
- 337
- References
- 16
- FWCI
- 21.35
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Entropy-Based Optimal Sensor Location for Structural Model Updating. https://app.cochat.ai/papers/10.1177/107754630000600508
- The paper
- Papadimitriou, C., Beck, J. L., & Au, S.-K. (2000). Entropy-Based Optimal Sensor Location for Structural Model Updating. Journal of Vibration and Control. https://doi.org/10.1177/107754630000600508
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.
