Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Rui Micaelo"'
Publikováno v:
Infrastructures, Vol 9, Iss 7, p 118 (2024)
Asphalt mixtures are widely used as a surfacing material for pavements due to their several advantages. For this reason, robust numerical models still need to be developed to improve the understanding of their fracture behaviour. Recently, an increme
Externí odkaz:
https://doaj.org/article/ac371264d2644870b83436a5015048d9
Publikováno v:
Buildings, Vol 13, Iss 12, p 3023 (2023)
Encapsulated rejuvenators embedded in asphalt mixtures are a promising technology to extend the service life of asphalt pavements. However, their effects on the asphalt mixture’s performance still need to be properly understood. A recently develope
Externí odkaz:
https://doaj.org/article/6e670673b94649f0acbd7f223b7fa1c1
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 8, Iss 1, Pp 388-404 (2022)
This study aims to mitigate the gap of knowledge on the cyclic bond behaviour of Carbon Fiber Reinforced Polymer (CFRP) bonded onto a steel substrate. The Distinct Element Method was used to model different bonding techniques such as Externally Bonde
Externí odkaz:
https://doaj.org/article/405d25bb40074c8692daee6271ead865
Publikováno v:
Infrastructures, Vol 6, Iss 7, p 96 (2021)
This paper presents an experimental investigation into the effects of porosity, dry density and cement content on the unconfined compressive strength and modulus of elasticity of cement-bound soil mixtures. A clayey sand was used with two different p
Externí odkaz:
https://doaj.org/article/518b99f898bd4f00b5828e09102486c8
Publikováno v:
The Baltic Journal of Road and Bridge Engineering, Vol 9, Iss 4, Pp 306-316 (2014)
The objective of this study is to determine the influence of field compaction conditions on hot-mix asphalt layers compaction. A large field test was carried out to assess the compaction degree variation under field conditions such as the type of lay
Externí odkaz:
https://doaj.org/article/7282dc45e33740318c93706b54c98fb9
Autor:
Tiago Ribeiro, Ana Cristina Freire, Margarida Sá-da-Costa, João Canejo, Vinicius Cordeiro, Rui Micaelo
Publikováno v:
Sustainability
Volume 15
Issue 5
Pages: 4556
Volume 15
Issue 5
Pages: 4556
This work was financed by national funds from FCT—Fundação para a Ciência e a Tecnologia, I.P., in the scope of the project LA/P/0037/2020. The authors would like to acknowledge the support given to this research by REPSOL and RAVAGO CHEMICALS,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::601b655ea97cb8226fdac87b7c442b94
A three-dimensional particle model, based on the asphalt mastic micro-structure representation following a discrete element model framework, was developed to investigate the influence of sunflower oil (rejuvenator) on the rheological properties of as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a0126a68d87b66ccdbc03c266e882b
https://hdl.handle.net/10362/153096
https://hdl.handle.net/10362/153096
Publikováno v:
Advances on Testing and Experimentation in Civil Engineering ISBN: 9783031238871
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb15dd85a1e25096f628380ee9e725a6
https://doi.org/10.1007/978-3-031-23888-8_1
https://doi.org/10.1007/978-3-031-23888-8_1
Rigid particle models based on the discrete element method (DEM) have been adopted to model creep, fracture, and the viscoelastic behaviour of asphalt mixtures considering an irregular micro-structure and particle contacts. Within a DEM framework, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b35a68e10165548d410ffb40a2e30590
https://hdl.handle.net/1822/84927
https://hdl.handle.net/1822/84927
Rigid particle models based on the discrete element method (DEM) have been adopted in the study of fracture and viscoelastic properties of mastic and asphalt mixtures. In this work, a 3D particle model is proposed based on the Laguerre-Voronoi diagra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39d2e4f03fe061d46e15e2b54175cc06
https://www.scipedia.com/public/Camara_et_al_2022a
https://www.scipedia.com/public/Camara_et_al_2022a