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CONCEPT: CarbON-epoxy CompositE PlaTe

To download the data set, please fill the form:

https://forms.gle/ynKGU1aZBaJJYj3n9


Description

A carbon-epoxy laminated with layup containing ten plies unidirectionally oriented along 0º with four PZTs SMART Layers from Accelent Technologies, with 6.35 mm in diameter and 0.25 mm in thickness with a free-free boundary condition. PZT 1 is used as an actuator with a five-cycle tone burst input signal applied with 35 V of amplitude and center frequency of 250 kHz.

The outputs are collected in PZT 2, PZT 3, and PZT 4 with a sampling rate of 5 MHz and timespan of 200 ms with all channels synchronized measured. Data acquisition was controlled by Labview using a NI USB 6353 from National Instrument (NIDaq) and an oscilloscope DSO7034B Keysight assuming a controlled temperature test conducted inside a thermal chamber from Thermotron (see figure below). Seven temperature levels from 0°C to 60°C with a variation of 10°C in each level were saved.

Damage is simulated by inserting an industrial adhesive putty on the surface’s plate. This additional localized mass simulates local changes in the damping of the plate, which has some similarities to delamination in composites structures. The damage progression is simulated by increasing the area covered by the industrial putty. The conditions tested are presented in Table 1. Healthy conditions are referred to as H(t) and damaged as D(t)^(s), where the superscript t denotes the temperature of the test and subscript s the number of damaged state. Baseline condition is defined as the structure in a healthy state at 30°C, represented by Hbaseline. For each condition, 100 output signals were collected sequentially. The progressive damage conditions were simulated by the increase in the area covered with the putty, which has a circular format and constant mass.


Authors

  • Jessé Paixão
  • Samuel da Silva

  • How to cite

    The data are still available for non-commercial research under the following terms: (i) the SHM Lab at UNESP/Ilha Solteira should be acknowledged as the source of the data; (ii) in publications, relevant publications by members of the SHM Lab at UNESP/Ilha Solteira should be cited; (iii) this benchmark should be cited as UNESP-CONCEPT.

    This dataset was used in these papers and dissertations:

  • da Silva S, Paixão J, Rébillat M, Mechbal N. Extrapolation of AR models using cubic splines for damage progression evaluation in composite structures. Journal of Intelligent Material Systems and Structures. October 2020. https://doi.org/10.1177/1045389X20963171

  • Paixão, J. A. S. ; da Silva, Samuel ; Figueiredo, Eloi ; RADU, L. ; PARK, G. . Delamination area quantification in composite structures using Gaussian process regression and AR models. Journal of Vibration and Control, 2020. https://doi.org/10.1177/1077546320966183

  • Paixão, J. A. S.; Damage quantification in laminated composites using gaussian process regression model; Dissertation in Mechanical Engineering; São Paulo State University, Ilha Solteira/SP, Brazil, August 2020, http://hdl.handle.net/11449/193430

  • Paixão J.A.S., da Silva S., Figueiredo E. (2020) Damage Quantification in Composite Structures Using Autoregressive Models. In: Wahab M. (eds) Proceedings of the 13th International Conference on Damage Assessment of Structures. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8331-1_63

  • da Silva, S., Paixão J, Rébillat M, Mechbal N. Data-Driven AR Model Identification for SHM in Anisotropic Composite Plates, July 2019, Conference: 9th ECCOMAS Thematic Conference on Smart Structures and Materials, https://doi.org/10.13140/RG.2.2.20492.46720

  • da Silva, S. Data-driven model identification of guided wave propagation in composite structures. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40, 543 (2018). https://doi.org/10.1007/s40430-018-1462-4

  • If you are using a LaTeX Editor, you can cite the papers above using these BibTeX citations:

    @article{doi:10.1177/1045389X20963171,
    author = {Samuel da Silva and Jessé Paixão and Marc Rébillat and Nazih Mechbal},
    title ={Extrapolation of AR models using cubic splines for damage progression evaluation in composite structures},
    journal = {Journal of Intelligent Material Systems and Structures},
    volume = {0},
    number = {0},
    pages = {1045389X20963171},
    year = {0},
    doi = {10.1177/1045389X20963171},
    URL = {https://doi.org/10.1177/1045389X20963171} 
    }
    
    @article{doi:10.1177/1077546320966183,
    author = {Jess{\'e} Paix{\~a}o and Samuel da Silva and Eloi Figueiredo and Lucian Radu and Gyuhae Park},
    title ={Delamination area quantification in composite structures using Gaussian process regression and auto-regressive models},
    journal = {Journal of Vibration and Control},
    volume = {0},
    number = {0},
    pages = {1077546320966183},
    year = {0},
    doi = {10.1177/1077546320966183},
    URL = {https://doi.org/10.1177/1077546320966183},
    eprint = {https://doi.org/10.1177/1077546320966183}
    }
    
    @InProceedings{10.1007/978-981-13-8331-1_63,
    author="Paix{\~a}o, Jess{\'e} A. S.
    and da Silva, Samuel
    and Figueiredo, Eloi",
    editor="Wahab, Magd Abdel",
    title="Damage Quantification in Composite Structures Using Autoregressive Models",
    booktitle="Proceedings of the 13th International Conference on Damage Assessment of Structures",
    year="2020",
    publisher="Springer Singapore",
    address="Singapore",
    pages="804--815"
    }
    
    @article{Silva2018,
    	author = {da Silva, Samuel},
      title = {Data-driven model identification of guided wave propagation in composite structures},
    	Da = {2018/10/26},
    	Date-Added = {2020-10-20 16:50:34 -0300},
    	Date-Modified = {2020-10-20 16:50:53 -0300},
    	Doi = {10.1007/s40430-018-1462-4},
    	Id = {da Silva2018},
    	Isbn = {1806-3691},
    	journal = {Journal of the Brazilian Society of Mechanical Sciences and Engineering},
    	humber = {11},
    	pages = {543},
    	Ty = {JOUR},
    	Url = {https://doi.org/10.1007/s40430-018-1462-4},
    	Volume = {40},
    	Year = {2018},
    	Bdsk-Url-1 = {https://doi.org/10.1007/s40430-018-1462-4}
      }
    

    License

    Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA):

    A creative commons license that bans commercial use and requires you to release any modified works under this license.


    Funding

    São Paulo Research Foundation (FAPESP), grant numbers 2017/15512-8, 2018/15671-1, 2019/11755-9, and 2019/19684-3, Brazilian National Council for Scientific and Technological Development (CNPq), grant number 306526/2019-0, and Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES)-Finance Code 001 funded this experimental setup.