Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Waleed H. Khushefati"'
Publikováno v:
Cleaner Materials, Vol 5, Iss , Pp 100127- (2022)
Considering the fact that thermal mass materials enable a significant reduction of 7–22% in energy consumption in buildings, it is vital to use cementitious materials with enhanced thermal insulation properties. In this paper, thermal conductivity
Externí odkaz:
https://doaj.org/article/078970158b254b499e00c74d5689dbe4
Publikováno v:
Construction and Building Materials. 122:320-331
In this study the relationship between the core compressive strength with respect to reference samples and different core sizes with different slenderness ratio, length to diameter (L/D) were investigated. In addition, a comparative study was carried
Publikováno v:
Journal of Regional Science. 55:801-841
This report formulates a multiple discrete-continuous probit (MDCP) land-use model within a spatially explicit economic structural framework for land-use change decisions. The spatial MDCP model is capable of predicting both the type and intensity of
Publikováno v:
Construction and Building Materials. 81:268-275
When the water-to-binder ratio is lower than a critical value, a considerable self-desiccation may occur, leading to autogenous shrinkage (AS). This volume change can induce internal stresses when the shrinkage is restricted, and may cause micro crac
Publikováno v:
Construction and Building Materials. 76:388-395
This research investigates properties of concrete prepared with urea and calcium nitrate anti-freeze admixtures and cured in different low deep-freeze temperatures and exterior winter conditions in Erzurum, Turkey. Four different mixtures were prepar
Publikováno v:
ACI Materials Journal. 114
Publikováno v:
ACI Materials Journal. 114
Autor:
Waleed H. Khushefati, Raghuprasad Sidharthan, Mohammad Jobair Bin Alam, Sebastian Astroza, Chandra R. Bhat
Publikováno v:
Transportation Research Part B: Methodological. 68:31-51
This paper formulates a multidimensional choice model system that is capable of handling multiple nominal variables, multiple count dependent variables, and multiple continuous dependent variables. The system takes the form of a treatment-outcome sel
Neural Network, Machine Learning, and Evolutionary Approaches for Concrete Material Characterization
Publikováno v:
ACI Materials Journal. 113
Publikováno v:
Journal of Applied Sciences. 13:444-450