Application of ANN Modelling of Fire Door Resistance

Abstract

Fire doors are compulsorily used in every kind of building nowadays. The determination of fire doors’ resistance in which kind of buildings is also essential. This determination is needed to be watched through the experimental works done. Computer technologies and applications are commonly used in many fields in industry. In this study, by using the data obtained as a result of experiments made in order to determine the resistance of fire doors, artificial neural network (ANN) model was developed. With this model, it is aimed to evaluate the inner temperature of fire room having an important role in resistance of the fire door. In the developed system, temperature values belonging to thermocouples on the door (Top Left, Top Right, Middle Left, Middle Right, Bottom Left, Bottom Right (oC) and time (minute) were taken as input parameters and in-room temperature (oC) was taken as output parameters. When the results obtained from ANN and experimental data are compared, it is determined that two groups of data were coherent. It is shown that ANN can be safely used in the determination of fire door resistance.

Authors and Affiliations

Sakir Tasdemir| Selcuk University, Technology Faculty, Computer Engineering, Konya, Turkey, Mustafa Altin *| Selcuk University Higher School of Vocational and Technical Sciences, Konya, Turkey

Keywords

Related Articles

Optimal Energy Management System for PV/Wind/Diesel-Battery Power Systems for Rural Health Clinic

Good operation of a hybrid system can be achieved only by a suitable control of the interaction in the operation of the different devices. This paper proposed a supervisory control system that will be used to control and...

Rainfall estimation based on NAW approach using MSG-SEVIRI images: An application in north Algeria

In this work, we will adapt the NAW (Nagri, Adler and Wetzel) precipitation, estimation approach to the north Algeria events using the Meteosat Second Generation (MSG) satellite images. The tests are carried out on seven...

Classification of Siirt and Long Type Pistachios (Pistacia vera L.) by Artificial Neural Networks

Quality is one of the important factors in agricultural products marketing. Grading machines have great role in quality control systems. The most efficient method used in grading machines today is image processing. This...

BAT algorithm for Cryptanalysis of Feistel cryptosystems

Recent cryptosystems constitute an effective task for cryptanalysis algorithms due to their internal structure based on nonlinearity. This problem can be formulated as NP-Hard. It has long been subject to various attacks...

Application of ANN Modelling of Fire Door Resistance

Fire doors are compulsorily used in every kind of building nowadays. The determination of fire doors’ resistance in which kind of buildings is also essential. This determination is needed to be watched through the experi...

Download PDF file
  • EP ID EP798
  • DOI 10.18201/ijisae.90445
  • Views 439
  • Downloads 22

How To Cite

Sakir Tasdemir, Mustafa Altin * (2016). Application of ANN Modelling of Fire Door Resistance. International Journal of Intelligent Systems and Applications in Engineering, 4(2), 45-48. https://europub.co.uk/articles/-A-798