Compressive strength prediction of environmentally friendly concrete using artificial neural networks

Volume: 16, Pages: 213 - 219
Published: Mar 1, 2018
Abstract
null null Solid waste in the form of construction debris is one of the major environmental concerns in the world. Over 20 million tons of construction waste materials are generated in Tehran each year. A large amount of these materials can be recycled and reused as recycled aggregate concrete (RAC) for general construction, pavement and a growing number of other works that drive the demand for RAC. This paper aims to predict RAC compressive...
Paper Details
Title
Compressive strength prediction of environmentally friendly concrete using artificial neural networks
Published Date
Mar 1, 2018
Volume
16
Pages
213 - 219
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.