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Wyświetlanie 1-3 z 3
Tytuł:
Drying shrinkage and creep properties of self-compacting concrete with expansive agent and viscosity modified admixture
Autorzy:
Liu, He
Duan, Guangchao
Zhang, Jingyi
Powiązania:
https://bibliotekanauki.pl/articles/2174047.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
beton samozagęszczalny
środek ekspansywny
UEA
domieszka o zmodyfikowanej lepkości
pełzanie
skurcz suszenia
self-compacting concrete
expansive agent
viscosity modified admixture
creep
drying shrinkage
Opis:
Self-Compacting Concrete (SCC) has been widely used in the filling layer of high-speed railways. The quality of the filling layer directly affects the durability, comfort, and safety of the track system. In this study, shrinkage characteristics and the creep behavior of SCC were investigated by compressive creep tests and shrinkage tests. They were performed on specimens with different loading levels with a calcium sulfoaluminate-based expansive agent (UEA) and viscosity modified admixture (VMA). Furthermore, based on the scanning electron microscope (SEM) morphology of hydration products and X-ray diffraction (XRD) analysis, the influence of admixtures on microstructure and mineral phases of SCC was analyzed.The results show that when concretes were loaded with the same stress level, the main factor influencing creep of SCC was the quantity and microstructure of amorphism and hydration crystal. The XRD and SEM result showed that UEA andVMAmake the creep and shrinkage of SCC reduce obviously as the cementitious system grow many crystals in hydration products. The creep of NC was less than SCC with identical compressive strength. At the same time, the addition of UEA can improve the ability to resist drying shrinkage.
Źródło:
Archives of Civil Engineering; 2022, 68, 3; 539--551
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study of the admixtures effect on concrete creep using Bayesian Linear Regression
Autorzy:
Zgheib, E.
Raphael, W.
Powiązania:
https://bibliotekanauki.pl/articles/962255.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Eurokod 2
pełzanie betonu
metoda Bayesa
linearyzacja
domieszka
reduktor wody
pył krzemionkowy
Eurocode 2
concrete creep
Bayesian method
linearization
admixture
water reducer
silica fume
Opis:
Admixtures are commonly used nowadays in the mix composition of concrete. These additions affect concrete properties and performance especially creep deformations. This paper shows the effect of admixtures on creep of concrete. In fact, creep deformations have prejudicial consequences on concrete behaviour; an incorrect or inaccurate prediction leads to undesirable consequences in structures. Therefore, an accurate estimation of these deformations is mandatory. Moreover, design codes do not consider admixtures’ effect while predicting creep deformations, thus it is necessary to develop models that predict accurately creep deformations and consider the effect of admixtures. Using a large experimental database coming from international laboratories and research centres, this study aims to update the Eurocode 2 creep model by considering the type and percentage of admixtures using Bayesian Linear Regression method. The effect of two types of admixtures is presented in this paper; the water reducer and silica fume.
Źródło:
Archives of Civil Engineering; 2019, 65, 3; 127-140
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of asphalt creep compliance using artificial neural networks
Autorzy:
Zofka, A.
Yut, I.
Powiązania:
https://bibliotekanauki.pl/articles/230827.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
lepiszcze asfaltowe
mieszanka asfaltowa gorąca
sieć neuronowa sztuczna
belka zginana
reometr
podatność na pełzanie
badanie napięcia pośrednie
asphalt binder
hot mix asphalt
artificial neural network
bending beam
rheometer
creep compliance
indirect tension test
Opis:
Creep compliance of the hot-mix asphalt (HMA) is a primary input of the current pavement thermal cracking prediction model used in the US. This paper discusses a process of training an Artificial Neural Network (ANN) to correlate the creep compliance values obtained from the Indirect Tension (IDT) with similar values obtained on small HMA beams from the Bending Beam Rheometer (BBR). In addition, ANNs are also trained to predict HMA creep compliance from the creep compliance of asphalt binder and vice versa using the BBR setup. All trained ANNs exhibited a very high correlation of 97 to 99 percent between predicted and measured values. The binder creep compliance functions built on the ANN-predicted discrete values also exhibited a good correlation when compared with the laboratory experiments. However, the simulation of trained ANNs on the independent dataset produced a significant deviation from the measured values which was most likely caused by the differences in material composition, such as aggregate type and gradation, presence of recycled additives, and binder type.
Źródło:
Archives of Civil Engineering; 2012, 58, 2; 153-173
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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