Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Fabio Rondinella"'
Autor:
Nicola Baldo, Fabio Rondinella, Fabiola Daneluz, Pavla Vacková, Jan Valentin, Marcin D. Gajewski, Jan B. Król
Publikováno v:
CivilEng, Vol 4, Iss 4, Pp 1083-1097 (2023)
Stiffness modulus represents one of the most important parameters for the mechanical characterization of asphalt mixtures (AMs). At the same time, it is a crucial input parameter in the process of designing flexible pavements. In the present study, t
Externí odkaz:
https://doaj.org/article/8702e02354714569a54e579ffc3b1dcc
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6664 (2023)
This study explores the potential in substituting ordinary Portland cement (OPC) with industrial waste silica fume (SF) as a mineral filler in asphalt mixtures (AM) for flexible road pavements. The Marshall and indirect tensile strength tests were us
Externí odkaz:
https://doaj.org/article/d76e9f52835e4da89f95c51484d7517b
Publikováno v:
Materials, Vol 16, Iss 3, p 1017 (2023)
In recent years, the attention of many researchers in the field of pavement engineering has focused on the search for alternative fillers that could replace Portland cement and traditional limestone in the production of asphalt mixtures. In addition,
Externí odkaz:
https://doaj.org/article/614c4463c92c417193321f95d6e47d6f
Publikováno v:
Materials, Vol 16, Iss 2, p 807 (2023)
In recent years, due to the reduction in available natural resources, the attention of many researchers has been focused on the reuse of recycled materials and industrial waste in common engineering applications. This paper discusses the feasibility
Externí odkaz:
https://doaj.org/article/16a16e2926c141eb8668fb60b9f67c98
Autor:
Matteo Miani, Matteo Dunnhofer, Fabio Rondinella, Evangelos Manthos, Jan Valentin, Christian Micheloni, Nicola Baldo
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11710 (2021)
This study introduces a machine learning approach based on Artificial Neural Networks (ANNs) for the prediction of Marshall test results, stiffness modulus and air voids data of different bituminous mixtures for road pavements. A novel approach for a
Externí odkaz:
https://doaj.org/article/9504596f38fc44928a3c660e417031c9
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783031202407
For the purpose of the Airport Pavement Management System (APMS), in order to optimize the maintenance strategies, it is fundamental monitoring the pavement conditions’ deterioration with time. In this way, the most damaged areas can be detected an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfa53405a40bac88b5de03cf57344e5f
https://doi.org/10.1007/978-3-031-20241-4_5
https://doi.org/10.1007/978-3-031-20241-4_5
Publikováno v:
Sustainability; Volume 14; Issue 10; Pages: 6056
Nowadays, budget restrictions for road construction, management, and maintenance require innovative solutions to guarantee the user acceptable service levels respecting environmental requirements. Such goals can be achieved by the re-use of various w
Autor:
Nicola Baldo, Matteo Miani, Fabio Rondinella, Jan Valentin, Pavla Vackcová, Evangelos Manthos
Publikováno v:
Coatings; Volume 12; Issue 1; Pages: 54
Coatings, Vol 12, Iss 54, p 54 (2022)
Coatings, Vol 12, Iss 54, p 54 (2022)
This paper presents a study about a Machine Learning approach for modeling the stiffness of different high-modulus asphalt concretes (HMAC) prepared in the laboratory with harder paving grades or polymer-modified bitumen which were designed with or w
In this study a novel procedure is presented for an efficient development of predictive models of road pavement asphalt concretes mechanical characteristics and volumetric properties, using shallow artificial neural networks. The problems of properly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fd54391dd1bdf1b900035815d007bf0
https://hdl.handle.net/11368/3033480
https://hdl.handle.net/11368/3033480
Publikováno v:
Materials
Volume 16
Issue 3
Pages: 1017
Volume 16
Issue 3
Pages: 1017
In recent years, the attention of many researchers in the field of pavement engineering has focused on the search for alternative fillers that could replace Portland cement and traditional limestone in the production of asphalt mixtures. In addition,