Computers and Concrete

  • 제21권5호
  • /
  • Pages.525-530
  • /
  • 2018
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  • 1598-8198(pISSN)
  • /
  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of the parameters affecting the Schmidt rebound hammer reading using ANFIS method

  • Toghroli, Ali (Department of Civil Engineering, Faculty of Engineering, University of Malaya) ;
  • Darvishmoghaddam, Ehsan (Department of Civil Engineering, Faculty of Engineering, University of Malaya) ;
  • Zandi, Yousef (Department of Civil Engineering, Islamic Azad University) ;
  • Parvan, Mahdi (Department of Civil Engineering, Islamic Azad University) ;
  • Safa, Maryam (Department of Civil Engineering, Faculty of Engineering, University of Malaya) ;
  • Abdullahi, Muazu Mohammed (Department of Civil Engineering, Jubail University College, Royal Commission of Jubail and Yanbu) ;
  • Heydari, Abbas (Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University) ;
  • Wakil, Karzan (University of Human Development) ;
  • Gebreel, Saad A.M. (Department of Civil Engineering, Faculty of Engineering, Omar Al-Mukhtar University) ;
  • Khorami, Majid (Facultad de Arquitectura y Urbanismo, Universidad Tecnologica Equinoccial)
  • 투고 : 2015.11.22
  • 심사 : 2018.01.18
  • 발행 : 2018.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

As a nondestructive testing method, the Schmidt rebound hammer is widely used for structural health monitoring. During application, a Schmidt hammer hits the surface of a concrete mass. According to the principle of rebound, concrete strength depends on the hardness of the concrete energy surface. Study aims to identify the main variables affecting the results of Schmidt rebound hammer reading and consequently the results of structural health monitoring of concrete structures using adaptive neuro-fuzzy inference system (ANFIS). The ANFIS process for variable selection was applied for this purpose. This procedure comprises some methods that determine a subsection of the entire set of detailed factors, which present analytical capability. ANFIS was applied to complete a flexible search. Afterward, this method was applied to conclude how the five main factors (namely, age, silica fume, fine aggregate, coarse aggregate, and water) used in designing concrete mixture influence the Schmidt rebound hammer reading and consequently the structural health monitoring accuracy. Results show that water is considered the most significant parameter of the Schmidt rebound hammer reading. The details of this study are discussed thoroughly.

키워드

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