Affiliations 

  • 1 Faculty of Engineering, Science and Technology, Indus University, Karachi, 75300, Pakistan. naraindas04@gmail.com
  • 2 Department of Mechanical Engineering, Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar, Tronoh, Perak, Malaysia
  • 3 Faculty of Engineering and Computer Science, Al-Nasser University, Sana'a, Yemen. ahmed.alraeeini@nu.edu.ye
  • 4 Department of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia
  • 5 Applied College, Umm Al-Qura University, P.O. Box 715, 21955, Macca, Saudi Arabia
  • 6 Department of Civil and Environmental Engineering, College of Engineering, University of Jeddah, 23890, Jeddah, Saudi Arabia
  • 7 Department of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, 16273, Alkharj, Saudi Arabia
Sci Rep, 2025 Mar 19;15(1):9428.
PMID: 40108401 DOI: 10.1038/s41598-025-94382-7

Abstract

Currently, chemical attacks, including acid attacks and sulphate attacks, pose a significant problem for the long-term durability of concrete infrastructures that encounter many types of water, including swamp water, marine water, sewage water, drinkable water, and groundwater. Therefore, the intention of this work is to enhance the durability and resistance of concrete against chemical attack by blending titanium dioxide (TiO2) as nanoparticles into designed cementitious composites. The purpose of current study is to obtain an appropriate TiO2 based on the cement's weight and polyvinyl alcohol (PVA) fiber in composites using multi-objective optimisation. Thirteen mixtures comprising diverse combinations of variables (TiO2: 1-2%, PVA: 1-2%) were formulated utilising RSM modelling. Seven responses were assessed for these mixtures, including weight loss, compressive strength, expansion, a rapid chloride permeability test (RCPT) and a pH test. Analysis of variance, on the other hand, was utilised to construct and assess eight response models (one linear and six quadratics in nature). The R2 values for models spanning from 88 to 99%. The multi-objective optimisation generated optimal response values and ideal variable values (1% PVA and 1.5% TiO2). Experimental verification revealed that the predicted values correlated exceedingly well with the experimental data, with an error rate of less than 5%. The outcomes indicate that a 30% rise in compressive strength was noted when 1.5% TiO2 nanomaterial was incorporated into ECC. Furthermore, the expansion caused by sulphate attack decreases when TiO2 used as a nanomaterial increases in composites. Besides, when the concentration of TiO2 in ECC increased, the pH value, and weight loss caused by acid attack reduced. In addition, the RCPT is recorded reducing when the content of TiO2 increases but it increases with addition of PVA fiber. It has been shown that including 1.5% TiO2 and 1% PVA fiber yields the optimal results for the building sector.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.