Artificial Neural Networks for the Spalling Classification & Failure Prediction Times of High Strength Concrete Columns

2014 ◽  
Vol 5 (3) ◽  
pp. 203-214 ◽  
Author(s):  
John McKinney ◽  
Faris Ali
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Test Data ◽  
Experimental Test ◽  
High Strength Concrete ◽  
Failure Prediction ◽  
High Strength ◽  
Concrete Columns ◽  
Strength Concrete ◽  
High Strength Concrete Columns

This paper presents the results from two supervised Artificial Neural Networks (ANN) developed for the spalling classification and failure prediction of high strength concrete columns (HSCC) subjected to fire. The experimental test data used for the ANN are based on the HSCC tests undertaken at the Fire Research Laboratories at the University of Ulster. 80% of the chosen experimental test data was used to train the network with the remaining 20% used for testing. In the spalling classification example the key ANN input parameters were; furnace temperature, restraint, loading level, force, spalling degree, failure time and spalling type. This was also the case for the failure prediction example except for spalling type. The networks were trained using the resilient propagation algorithm. A 6-10-3 and 5-10-1 ANN architecture gave the best results for the classification and failure prediction times respectively. The results demonstrate that HSCC can be assessed using ANN.

Compressive Strength, Chloride Diffusivity and Pore Structure of Non-Autoclaved Prestressed High-Strength Concrete with Metakaolin

2012 ◽  
Vol 450-451 ◽  
pp. 1409-1414 ◽  
Author(s):  
Jun Jie Zeng ◽  
Zhong He Shui ◽  
Wan Ru Zhang ◽  
Zheng Leng
Keyword(s):  
Compressive Strength ◽  
Pore Structure ◽  
High Strength Concrete ◽  
High Strength ◽  
Chloride Ions ◽  
Strength Concrete ◽  
Durability Properties ◽  
Chloride Diffusivity ◽  
Chloride Migration ◽  
Improvement Effect

The experimental study was performed on the relationship between the mechanical and durability properties of high-strength concrete with metakaolin (MK) and slag. The compressive strength, chloride penetrability and pore structure of the OPC and the concrete with MK and slag were measured. It is found that MK can significantly increase the compressive strength, decrease the chloride ions migration coefficient and improve the pore structure of the steam cured high-strength concrete. The chloride resistance is improved obviously by 5% MK and further increase of the MK dosage performs a little change of the chloride migration coefficient. Better improvement effect on the mechanical and durability properties is obtained with the incorporation of 10% MK and 10% slag. Linear relationship is found between the coarse pore porosity and the compressive strength, while the chloride migration coefficient correlates well with the capillary pore volume.

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