Open Access

ARTICLE

Comparison of Fuzzy Synthetic Evaluation and Field Measurement of Internal Defects in Assembled Concrete Detected by Ultrasonic Waves

Hua Yan^1,2,3,*, Bo Song^1,3, Mansheng Wang⁴

1 School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, China
2 Faculty of Architecture and Engineering, Langfang Normal University, Langfang, 065000, China
3 Beijing International Science and Technology Cooperation Base for Earthquake Research on Mass Transit Railway Project, Beijing, 100083, China
4 Beijing Institute of Housing and Urban Rural Construction Science and Technology, Beijing, 100083, China

* Corresponding Author: Hua Yan. Email:

Structural Durability & Health Monitoring 2020, 14(3), 265-282. https://doi.org/10.32604/sdhm.2020.06403

Received 19 February 2019; Accepted 31 December 2019; Issue published 14 September 2020

Abstract

Analyze and compare the basic principles of ultrasonic detection of voids in concrete, choose ZBL-U520/510 non-metallic ultrasonic detector, and use the opposite detection method to test the void size in the joints of prefabricated concrete structures. The results show that: ultrasonic method by testing the waveform, sound, and speed of sound analysis can effectively determine the position of the defect, and through the conversion formula can estimate the void size. Ultrasonic parameters are used to distinguish the internal defects of Assembly concrete. Sometimes there are different results with different parameters. It is difficult for engineers to directly determine the internal defects. Fuzzy comprehensive evaluation can establish an overall evaluation of things or objects controlled by multiple factors by establishing membership functions. Through the inspection of engineering examples: the fuzzy comprehensive judgment method has no difference between the judgment of some good quality points and the judgment results of the original criteria, but for some abnormal points or points near the critical value, the advantages of fuzzy criteria can be achieved. The judgment process will be more scientific by considering several parameters in a comprehensive manner and digitizing the original subjective judgments.

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Keywords

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