Journal of
Faculty of Civil Engineering


FACULTY JOURNALS
SCIENTIFIC MEETINGS
ARCHIVE







CONFERENCE PROCEEDINGS
5th INTERNATIONAL CONFERENCE
CONTEMPORARY ACHIEVEMENTS IN CIVIL ENGINEERING 2017 , 2017.y., pp. 921-929


ESTIMATION OF RECYCLING CAPACITY OF MULTI-STOREY BUILDING STRUCTURES USING ANN
 
DOI: 10.14415/konferencijaGFS2017.096
UDC: 004.8.032.26:502.174.1
CC-BY-SA 4.0 license
Author : Bibić, Dragana; Vujkov, Aleksandra; Peško, Igor; Mučenski, Vladimir; Ćirović, Goran
 
 Summary:
 Artificial intelligence in construction can be used at all stages of design and construction, from the earliest stages to the final stages of demolition and estimation of recycling capacity. This paper presents a model for the estimation of amount of material (concrete and reinforcement). The model is based on artificial intelligence and estimation of amount of material is performed using ANN. For research purposes, different models are tested and model that provides acceptable predictions is chosen and tested on a real sample. Prediction accuracy is up to 13%.
 
 Keywords:
 artificial intelligence, neural networks, construction, reinforcement, concrete