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Recycled materials for road construction: performance prediction based on full-scale accelerated testing
Swedish National Road and Transport Research Institute, Infrastructure, Pavement Technology.ORCID iD: 0000-0001-6122-8496
Swedish National Road and Transport Research Institute, Infrastructure, Pavement Technology.ORCID iD: 0000-0002-5871-7587
Built Society, RISE Research Institutes of Sweden AB, Borås, Sweden.ORCID iD: 0000-0002-8406-0953
Reseach and Development, Heidelberg Materials Cement AB, Stockholm, Sweden.ORCID iD: 0009-0002-9175-431X
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2025 (English)In: Road Materials and Pavement Design, ISSN 1468-0629, E-ISSN 2164-7402Article in journal (Refereed) Epub ahead of print
Abstract [en]

One step towards reducing construction and industrial wastes (CIW) is to enhance their utilisation in road construction. Prior to their implementation, it is essential to evaluate their mechanical properties to ensure suitability and establish design guidelines. With this objective, four CIW materials were tested using repeated load triaxial (RLT) equipment to evaluate the materials’ functional properties, namely stiffness (Mr) and permanent deformation (PD) characteristics. In addition, full-scale accelerated pavement tests (APTs) were conducted where the four CIW materials were used as the subbase layer instead of traditional materials. Thereafter, a mechanistic–empirical (ME) pavement design and performance prediction method was used to predict their APT performances based on the RLT testing parameters. It was found that the ME performance method can adequately predict the CIW´s rutting development. The approach presented here, therefore, can facilitate the development of design guidelines and the increased utilisation of CIW-based materials in road construction projects.  

Place, publisher, year, edition, pages
Taylor & Francis, 2025.
Keywords [en]
Road construction, Recycled materials, Repeated load triaxial testing, Full-scale testing, Modelling, Accelerated pavement testing
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:vti:diva-22253DOI: 10.1080/14680629.2025.2571926ISI: 001592443800001Scopus ID: 2-s2.0-105018942625OAI: oai:DiVA.org:vti-22253DiVA, id: diva2:2009171
Funder
Vinnova, 2020-01838Vinnova, 2024-00154Available from: 2025-10-27 Created: 2025-10-27 Last updated: 2025-11-04Bibliographically approved

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Hellman, FredrikRahman, Mohammad ShafiqurErlingsson, Sigurdur

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