| Texto completo | |
| Autor(es): |
Meneses, Joao
;
Vasconcelos, Kamilla
;
Kuchiishi, Kazuo
;
Bernucci, Liedi
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | INFRASTRUCTURES; v. 10, n. 6, p. 17-pg., 2025-06-10. |
| Resumo | |
Cold recycling is an advantageous technique from economic and environmental perspectives for asphalt pavement rehabilitation, interventions, and maintenance. This work covered the investigation of dynamic modulus (|E*|) test models and their effects on cold recycled asphalt mixture (CRAM) |E*| data fitting, considering different mixture parameters such as asphalt binder type and content, active filler type and content, aggregate gradation, reclaimed asphalt pavement content, and curing conditions. Multiple mixtures from a dynamic modulus test database were fitted using six different regression models and the results were analyzed by means of different residuals analysis. Finally, the effects of CRAM composition on |E*| data were graphically assessed. For the analyzed specimens, two models were found to be the most adequate for CRAM's |E*| data regression. The analysis of CRAM composition showed a strong relation between the compaction method and the stiffness of CRAMs. (AU) | |
| Processo FAPESP: | 17/25708-7 - Reologia e química de ligantes asfálticos e bioligantes: ferramentas para a compreensão do comportamento mecânico, envelhecimento e deterioração dos revestimentos de pavimentos |
| Beneficiário: | Kamilla Vasconcelos Savasini |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |