Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dana Daneshvar"'
Publikováno v:
Case Studies in Construction Materials, Vol 19, Iss , Pp e02406- (2023)
Modeling the shrinkage and creep of concrete is a demanding task due to the large number and high complexity of the parameters that contribute to these two mechanisms. A range of models have been developed to date to predict shrinkage and creep over
Externí odkaz:
https://doaj.org/article/7ff307af844e4149832bb59af63dba02
Autor:
Dana Daneshvar, Teresa Liberto, Maria Chiara Dalconi, Waltraud Stöllinger, Johannes Kirnbauer, Agathe Robisson
Publikováno v:
Case Studies in Construction Materials, Vol 17, Iss , Pp e01571- (2022)
The high consumption of ordinary Portland cement (OPC) in high-performance concrete (HPC), combined with the growing accumulation of construction and demolition wastes (CDW), raises severe environmental and economic concerns. This study addresses bot
Externí odkaz:
https://doaj.org/article/b4bb1881ce9e417e8a78791622185cd8
Publikováno v:
Road Materials and Pavement Design. 23:527-545
Due to environmental and economic advantages, cold mix asphalt (CMA) can be considered as a good alternative to conventional hot mix asphalt (HMA). Nevertheless, it has inferior performance compare...
Autor:
Ali Behnood, Dana Daneshvar
Publikováno v:
International Journal of Pavement Engineering. 23:250-260
Dynamic modulus (|E∗|) of asphalt can be estimated using predictive models to avoid the time-taking and costly laboratory-based measurements. Several predictive models such as the Witczak model hav...
Publikováno v:
Construction and Building Materials. 359:129195
Publikováno v:
Construction and Building Materials. 307:124328
The effect of casting and curing temperature on concrete-epoxy-concrete interfacial bond strength was evaluated. To cover a wide range of climatic conditions, six different temperature values from 5 to 55 °C were considered. The interfacial bond str
Autor:
Dana Daneshvar, Ali Behnood
Publikováno v:
Construction and Building Materials. 262:120544
Dynamic modulus of asphalt concrete, which is a key parameter characterizing its performance, can be either measured in the laboratory through time-taking and expensive experiments or estimated through predictive models. In this study, the M5P model