Hosseinali, M., Toufigh, V. (2018). A Simple Model for Various Types of Concretes and Confinement Conditions Based on Disturbed State Concept. Scientia Iranica, 25(2), 557-564. doi: 10.24200/sci.2017.4193
Massoud Hosseinali; Vahab Toufigh. "A Simple Model for Various Types of Concretes and Confinement Conditions Based on Disturbed State Concept". Scientia Iranica, 25, 2, 2018, 557-564. doi: 10.24200/sci.2017.4193
Hosseinali, M., Toufigh, V. (2018). 'A Simple Model for Various Types of Concretes and Confinement Conditions Based on Disturbed State Concept', Scientia Iranica, 25(2), pp. 557-564. doi: 10.24200/sci.2017.4193
Hosseinali, M., Toufigh, V. A Simple Model for Various Types of Concretes and Confinement Conditions Based on Disturbed State Concept. Scientia Iranica, 2018; 25(2): 557-564. doi: 10.24200/sci.2017.4193
A Simple Model for Various Types of Concretes and Confinement Conditions Based on Disturbed State Concept
1Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
2Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
Abstract
Concrete is widely used for many practices in Civil Engineering. Therefore, an understanding of its behavior helps engineers and researchers to perform more accurate and cost-effective analyses and designs. In this order, several models have been proposed to predict the behavior of concrete that most of which are satisfactory accurate. However, by increasing the accuracy of the models their computational cost increases as well. In this study, a model with the least computational cost is proposed to predict the behavior of various concretes and confinement conditions. This model does not require any experimental tests to determine its parameters. It was able to predict the behavior of various concretes including normal-weight concrete (NWC) and light-weight concrete (LWC) from other researchers. This model can also be applied to two- and three-dimensional problems. Moreover, the confinement conditions of concretes were considered. The predictions were in good accordance with the experimental results.
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