RESEARCH ARTICLE


Evaluation of Nano-Silica Modified ECC Based on Ultrasonic Pulse Velocity and Rebound Hammer



Bashar S. Mohammed1, *, Zubair Imam Syed2, Veerendrakumar Khed1, Muthanna Saad Qasim1
1 Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia
2 Department of Civil Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates


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Creative Commons License
© 2017 Mohammed et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia; Tel: +605-3687305; E-mail:bashar.mohammed@utp.edu.my


Abstract

Introdcution:

Engineered cementitious composite (ECC) has gained attention among researchers due to its superior tensile properties. To improve its modulus elasticity, due to absence of coarse aggregate, nano-silica (NS) has been added to ECC mixture.

Method:

To facilitate the usage of the NS-ECC in the construction industry, using nondestructive tests such as rebound hammer (RH) and ultrasonic pulse velocity (UPV) to predict the compressive strength of NS-ECC is worthwhile. Twenty mixtures with two variables which are four PVA% (0.5, 1, 1.5 and 2) and five NS% (0, 1, 2, 3 and 4) have been proportioned, cast, cured and tested using RH, UPV and then crushed to determine the compressive strength at age of 28 days.

Results and Conclusion:

Response surface methodology (RSM) has been performed to develop models for predicting the compressive strength of NS-ECC utilizing results from RH and UPV. It has been established that the newly developed models are significant with values of “Prob > F” less than 0.05 and also have variance less than 0.2. Therefore, these models can be used to predict the compressive strength of NS-ECC using rebound hammer or/and ultra-pulse velocity.

Keywords: Nano-silica, ECC, UPV, RH, RSM, HPFRCCS.