Tyre derived aggregates and waste rock blends: Resilient moduli characteristics-Reference-Cited by-同舟云学术

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Tyre derived aggregates and waste rock blends: Resilient moduli characteristics

Published:2019-03 Issue: Volume:201 Page:207-217
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Arulrajah Arul,Mohammadinia Alireza,Maghool Farshid,Horpibulsuk Suksun

Funder

Tyre Stewardship Australia

Thailand Research Fund

Suranaree University of Technology

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference48 articles.

1. Recycling of waste tire rubber as aggregate in concrete: durability-related performance;Thomas;J. Clean. Prod.,2016

2. Shredded tires and rubber-sand as lightweight backfill;Lee;J. Geotech. Geoenviron. Eng.,1999

3. EPA Victoria, Broadmeadows tyre fire - Air quality, environment protection authority victoria, 200 Victoria Street, Carlton VIC 3053, 2016.

4. A comprehensive review on the applications of waste tire rubber in cement concrete;Thomas;Renew. Sustain. Energy Rev.,2016

5. Longitudinal structural modelling of shield tunnels considering shearing dislocation between segmental rings;Wu;Tunn. Undergr. Sp. Technol.,2015

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1. Mechanical characterization of aggregates blended with scrap tyre for pavement construction: an experimental investigation addressing circular economy;Innovative Infrastructure Solutions;2024-01

2. Assessment of Mechanical Characteristics of Crushed Rock Substituted with Tyre Crumb for the Application of Road Base or Subbase Layers of Road Pavement;International Journal of Pavement Research and Technology;2023-10-11

3. Utilization of waste materials in the stabilization of expansive pavement subgrade: An extensive review;Construction and Building Materials;2023-09

4. Theoretical calculation model for the thermal conductivity of scrap tire rubber–sand mixtures based on soil components;Journal of Thermal Analysis and Calorimetry;2023-07-13

5. Machine learning-based prediction of resilient modulus for blends of tire-derived aggregates and demolition wastes;Road Materials and Pavement Design;2023-06-22

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