Seyed Hakima, Seyed Jamalaldin and Omar, Abdinasir Mukhtar and A Khalifa, Nasradeen and Shahidan, Shahiron and Jamaluddin, Norwati and Alshalif, Abdullah Faisal (2024) Application of artificial neural networks to predict the compressive strength of rubberized concrete: a review. In: AIP Conference Proceedings.
![[img]](http://eprints.uthm.edu.my/style/images/fileicons/text.png) |
Text
P16815_2fa5341f26325adfef0b4462271bf61c 2.pdf Download (730kB) |
Abstract
Waste rubber tires have been used in building materials to support the environment and green construction. There is a growing demand for rubberized materials as they are cost-effective and useful from a sustainable standpoint. There are several properties of the rubber tire that could be applied usefully such as low density, and waterproofing properties. Rubberized concrete has composed of waste rubber as natural aggregate and is an alternative solution to the use of tire rubber particles in the production of concrete. It has been proven that the addition of waste rubber tires to concrete starts to low strength and this restriction its application in structural elements but benefits to enhance the ductility, impact resistance, thermal conductivity, and acoustic properties. This paper presents a review of the recent studies on the application and development of artificial neural networks (ANNs) to predict the compressive strength of rubberized concrete. From this review, predicting the compressive strength of rubberized concrete by ANNs is generally more accurate, and their development is inexpensive and time-saving. In this review, the advantages, and limitations of A
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Civil Engineering and Built Environment > FKAAB |
| Depositing User: | Mrs. Sabarina Che Mat |
| Date Deposited: | 17 Dec 2024 02:29 |
| Last Modified: | 17 Dec 2024 02:29 |
| URI: | http://eprints.uthm.edu.my/id/eprint/11750 |
Actions (login required)
 |
View Item |