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Smart Structures and Systems
  Volume 31, Number 6, June 2023 , pages 545-559

 open access

Optimal sensor placement of retrofitted concrete slabs with nanoparticle strips using novel DECOMAC approach
Ali Faghfouri, Hamidreza Vosoughifar and Seyedehzeinab Hosseininejad

    Nanoparticle strips (NPS) are widely used as external reinforcers for two-way reinforced concrete slabs. However, the Structural Health Monitoring (SHM) of these slabs is a very important issue and was evaluated in this study. This study has been done analytically and numerically to optimize the placement of sensors. The properties of slabs and carbon nanotubes as composite sheets were considered isotopic and orthotropic, respectively. The nonlinear Finite Element Method (FEM) approach and suitable optimal placement of sensor approach were developed as a new MATLAB toolbox called DECOMAC by the authors of this paper. The Suitable multi-objective function was considered in optimized processes based on distributed ECOMAC method. Some common concrete slabs in construction with different aspect ratios were considered as case studies. The dimension and distance of nano strips in retrofitting process were selected according to building codes. The results of Optimal Sensor Placement (OSP) by DECOMAC algorithm on un-retrofitted and retrofitted slabs were compared. The statistical analysis according to the Mann-Whitney criteria shows that there is a significant difference between them (mean Pvalue = 0.61).
Key Words
    carbon nanotube; DECOMAC algorithm; Nanoparticle strips; Structural Health Monitoring; two-way reinforced concrete slabs
(1) Ali Faghfouri:
Institute of Environmental Sciences, Université du Québec à Montréal, C.P. 8888, succursale Centre-ville, Montréal, Québec, H3C 3P8, Canada;
(2) Hamidreza Vosoughifar:
Department of Civil and Environmental Engineering and Water Resources Research Center, University of Hawaii at Manoa. 2540 Dole Street, Holmes 342, Honolulu, Hawaii 96822, USA;
(3) Seyedehzeinab Hosseininejad:
Department of Civil Engineering, Islamic Azad University, Tehran South Branch, 1777613651, Tehran, Iran.

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