FIRE RESISTANCE DESIGN OF CIRCULAR STEEL TUBE CONFINED REINFORCED CONCRETE COLUMNS

2018 ◽  
Author(s):  
Hua Yang ◽  
◽  
Faqi Liu ◽  
Yuyin Wang ◽  
Sumei Zhang ◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Fire Resistance ◽  
Concrete Columns ◽  
Steel Tube ◽  
Reinforced Concrete Columns ◽  
Circular Steel Tube

scholarly journals Fire and post-fire performance of circular steel tube confined reinforced concrete columns

2018 ◽  
Author(s):  
Faqi Liu ◽  
Hua Yang ◽  
Sumei Zhang
Keyword(s):  
Reinforced Concrete ◽  
Fire Resistance ◽  
Concrete Columns ◽  
Steel Tube ◽  
Fe Model ◽  
Fire Exposure ◽  
Test Results ◽  
Reinforced Concrete Columns ◽  
Load Bearing ◽  
Circular Steel Tube

Fire and post-fire behaviours of reinforced concrete columns confined by circular steel tubes, also known as circular steel tube confined reinforced concrete (STCRC) columns, are investigated in this paper. 5 full-scale specimens exposed to fire and 47 specimens after fire exposure were tested. Temperatures across the sections, displacement versus time curves, fire resistance, load versus displacement responses and load-bearing capacities were measured and discussed. A finite element (FE) model was developed using the program ABAQUS, and validated against the test results from the present study. Simplified design methods were proposed for predicting the fire resistance and residual load-bearing capacity of the STCRC columns under and after fire exposure, respectively.

scholarly journals Determination of Fire Resistance of Eccentrically Loaded Reinforced Concrete Columns Using Fuzzy Neural Networks

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Marijana Lazarevska ◽  
Ana Trombeva Gavriloska ◽  
Mirjana Laban ◽  
Milos Knezevic ◽  
Meri Cvetkovska
Keyword(s):  
Neural Networks ◽  
Reinforced Concrete ◽  
Fire Resistance ◽  
Concrete Columns ◽  
Fuzzy Neural Networks ◽  
Prognostic Models ◽  
Modern Trend ◽  
Reinforced Concrete Columns ◽  
Interdisciplinary Field ◽  
Fuzzy Neural

Artificial neural networks, in interaction with fuzzy logic, genetic algorithms, and fuzzy neural networks, represent an example of a modern interdisciplinary field, especially when it comes to solving certain types of engineering problems that could not be solved using traditional modeling methods and statistical methods. They represent a modern trend in practical developments within the prognostic modeling field and, with acceptable limitations, enjoy a generally recognized perspective for application in construction. Results obtained from numerical analysis, which includes analysis of the behavior of reinforced concrete elements and linear structures exposed to actions of standard fire, were used for the development of a prognostic model with the application of fuzzy neural networks. As fire resistance directly affects the functionality and safety of structures, the significance which new methods and computational tools have on enabling quick, easy, and simple prognosis of the same is quite clear. This paper will consider the application of fuzzy neural networks by creating prognostic models for determining fire resistance of eccentrically loaded reinforced concrete columns.

Experimental Study on Seismic Performance of RC Composite Core Walls with Steel Tube-Reinforced Concrete Columns and Concealed Steel Trusses under Eccentric Horizontal Loading

2010 ◽  
Vol 163-167 ◽  
pp. 2267-2273 ◽  
Author(s):  
Hong Ying Dong ◽  
Wan Lin Cao ◽  
Jian Wei Zhang
Keyword(s):  
Reinforced Concrete ◽  
Seismic Performance ◽  
Load Capacity ◽  
Concrete Columns ◽  
Steel Tube ◽  
Reinforced Concrete Columns ◽  
Deterioration Process ◽  
Combined Action ◽  
Process Energy ◽  
Steel Trusses

Two 1/6 scale core walls, including one RC core wall with steel tube-reinforced concrete columns and concealed steel trusses and one conventional RC core wall, were tested under eccentric horizontal cyclic loading. The load-capacity, ductility, hysteresis characteristics, stiffness, stiffness deterioration process, energy dissipation and damage characteristics of the two specimens were compared and discussed in this paper. It shows that the seismic performance of the RC core walls under combined action could be improved by setting the concealed steel trusses in the walls and using the steel tube-reinforced concrete columns as the boundary elements.

Sign in / Sign up

Export Citation Format

Share Document