Bibliographic Details
| Title: |
IMPLEMENTING END—OF—LIFE TIRESCOMPONENTS IN CONSTRUCTION SECTOR: POTENTIAL CHALLENGES. |
| Authors: |
KISS, Imre1, BACIU, Andrei–Mihai2 |
| Source: |
Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering. May2026, Vol. 24 Issue 2, p107-118. 12p. |
| Subjects: |
Waste tires, Cement composites, Vibration isolation, Structural design, Waste management, Construction industry, Mechanical behavior of materials |
| Abstract: |
The integration of End—of—Life Tires (ELT) into cementitious composites represents a dual—purpose strategy for the construction industry: it addresses a critical global waste management crisis while introducing specialized mechanical properties to building materials. This report explores the transformation of tires from complex, multi—material waste—consisting of vulcanized rubber, high—tensile steel, and synthetic textiles—into functional construction aggregates. While the implementation of rubberized concrete offers significant benefits—including enhanced energy dissipation, vibration damping, and improved freeze—thaw durability—its widespread adoption is hindered by several fundamental challenges, described and discussed here. Ultimately, the successful implementation of tire components in cementitious composites depends on balancing these mechanical trade—offs. By focusing on non—structural or seismic—resistant applications where ductility and impact resistance are prioritized over pure load—bearing capacity, the construction sector can effectively sequester millions of tires annually, turning a persistent pollutant into a high—performance engineering asset. [ABSTRACT FROM AUTHOR] |
|
Copyright of Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering is the property of University Politehnica Timisoara, Faculty of Engineering Hunedoara 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.) |
| Database: |
Engineering Source |