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Impact identification of stiffened composite panels: I. System development

Open access
Seydel, Robert, Chang, Fu-Kuo·2001·Smart Materials and Structures

Abstract

An investigation was conducted to develop a real-time identification technique for the prediction of the location and force history of low-velocity impacts on composite panels with beam stiffeners. The investigation included both analysis and experiments. Measurements from built-in piezoceramic sensors were used to reconstruct the force history using the smoother-filter algorithm. Impact location was determined by minimizing the difference between modeled response and actual response. Computer codes were developed for model construction (WFMODEL) and impact identification (WIDIMPACT). The model allowed for the variation of plate structural properties (density and stiffness) due to the presence of stiffeners. Results of extensive experiments verified the model, as coded in WFMODEL, for impacts both in the bay and on the stiffener. The identification technique, as implemented in the code WIDIMPACT, demonstrated real-time capability. Good agreement was found between predicted and actual force history and location, with success for different impact masses.

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Metadata

Authors
Seydel, R., & Chang, F.-K.
Venue
Smart Materials and Structures
Published
2001-04-01
Volume
10
Issue
2
Pages
354-369
ISSN
  • 0964-1726 (ISSN-L)
  • 1361-665X
OpenAlex
W1998172223
Cited by
167
References
0
FWCI
3.13
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Impact identification of stiffened composite panels: I. System development. https://app.cochat.ai/papers/10.1088/0964-1726/10/2/323
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Seydel, R., & Chang, F.-K. (2001). Impact identification of stiffened composite panels: I. System development. Smart Materials and Structures. https://doi.org/10.1088/0964-1726/10/2/323

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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.