Naslov
Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks

Autori
Hadzima-Nyarko, Marijana ; Nyarko, Emmanuel Karlo ; Ademović, Naida ; Miličević, Ivana ; Kalman Šipoš, Tanja

Izvornik
Materials (1996-1944) 12 (2019), 4; 1-18

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
tire rubber concrete ; compressive strength ; artificial neural networks ; database of experimental results

Sažetak
One of the major causes of ecological and environmental problems comes from the enormous number of discarded waste tires, which is directly connected to the exponential growth of the world’s population. In this paper, previous works carried out on the effects of partial or full replacement of aggregate in concrete with waste rubber on some properties of concrete were investigated. A database containing 457 mixtures with partial or full replacement of natural aggregate with waste rubber in concrete provided by different researchers was formed. This database served as the basis for investigating the influence of partial or full replacement of natural aggregate with waste rubber in concrete on compressive strength. With the aid of the database, the possibility of achieving reliable prediction of the compressive strength of concrete with tire rubber is explored using neural network modelling.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Računarstvo, Temeljne tehničke znanosti

POVEZANOST RADA