JOURNAL ARTICLE

Enhancing Water Repellency in Cement Concrete Through PDMS-Based Superhydrophobic Coatings.

  • Published In: NANO (1793-2920), 2025, v. 20, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Dodia, Sandhya; Jadav, Gaurav; Kher, Pradhumansinh; Dhruv, Dhananjay; Ashani, Hitesh; Gohel, Smeetraj; Kataria, Bharat; Markna, J. H. 3 of 3

Abstract

Surface coatings such as hydrophobic and transparent coatings were applied to cement concrete surfaces using Polydimethylsiloxane (PDMS) coatings, which have nanometer-sized particles. The degree of contact between the liquid and the coated surface reveals the surface's ability to repel water, commonly referred to as hydrophobicity. By depositing silicon coating on the surface, we successfully achieved superhydrophobicity on cement concrete, providing excellent resistance against water damage. We are striving to replicate the natural superhydrophobic properties found in nature to create artificial surfaces with similar characteristics. In this study, we experimented to develop and evaluate superhydrophobic coatings on cement concrete. The application of PDMS on the cement concrete yielded fascinating results, with the typical contact angle of the coated layer measuring 178 degrees. We utilized ImageJ software to analyze the results. This innovative approach holds great promise for enhancing water repellency in the field of construction. PDMS (Polydimethylsiloxane) enhances the hydrophobic properties of cement by bonding through dehydration reactions with hydroxyl groups on cement surfaces, reducing defects and forming a more coherent Si-O-Si network that repels water and other polar molecules, leading to a super-hydrophobic surface. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:NANO (1793-2920). 2025/02, Vol. 20, Issue 2, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2025
  • ISSN:1793-2920
  • DOI:10.1142/S1793292024500966
  • Accession Number:183581889
  • Copyright Statement:Copyright of NANO (1793-2920) is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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