Abstract
AbstractThis paper presents the results of studies conducted with neural networks on determining the properties of polymer concrete with fly ash. Polymer concrete with different contents of fly ash and resin was prepared and tested for determining the influence of fly ash on the properties. Using neural networks, the experimental results were analyzed for predicting the compressive strength and flexural strength, and also on the basis of a model with given values of properties, to ascertain the composition (content of resin, aggregate, and fly ash). Eleven sets were considered for training and four for verification. Reverse modeling proves that the largest values for compressive strength and flexural strength are obtained for a resin content of approximately 15–16%, and a fly ash content of approximately 8–9%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
