Predicting concrete strength early age using a combination of machine learning and electromechanical impedance with nano-enhanced sensors

Author:

Ju Huang,Xing Lin,Ali Alaa Hussein,El-Arab Islam Ezz,Elshekh Ali E.A.,Abbas Mohamed,Abdullah Nermeen,Elattar Samia,Hashmi Ahmed,Ali Elimam,Assilzadeh Hamid

Publisher

Elsevier BV

Reference145 articles.

1. Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives;Afshar;Constr. Build. Mater.,2020

2. Embedded piezoelectric transducers based early-age hydration monitoring of cement concrete added with accelerator/retarder admixtures;Ai;J. Intell. Mater. Syst. Struct.,2021

3. Three-dimensional electromechanical impedance model for multiple piezoceramic transducers—structure interaction;Annamdas;J. Aero. Eng.,2008

4. Investigation of seismic behaviour of composite structures with concrete filled square steel tubular (CFSST) column by push-over and time-history analyses;Arabnejad Khanouki,2010

5. Behavior of through beam connections composed of CFSST columns and steel beams by finite element studying;Arabnejad Khanouki;Adv. Mater. Res.,2011

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