Designing the Composition of Cement Stabilized Rammed Earth Using Artificial Neural Networks
Hubert Jerzy Anysz , Piotr Leon Narloch
AbstractCement stabilized rammed earth (CRSE) is a sustainable, low energy consuming construction technique which utilizes inorganic soil, usually taken directly from the construction site, with a small addition of Portland cement as a building material. This technology is gaining popularity in various regions of the world, however, there are no uniform standards for designing the composition of the CSRE mixture. The main goal of this article is to propose a complete algorithm for designing CSRE with the use of subsoil obtained from the construction site. The article's authors propose the use of artificial neural networks (ANN) to determine the proper proportions of soil, cement, and water in a CSRE mixture that provides sufficient compressive strength. The secondary purpose of the paper (supporting the main goal) is to prove that artificial neural networks are suitable for designing CSRE mixtures. For this purpose, compressive strength was tested on several hundred CSRE samples, with different particle sizes, cement content and water additions. The input database was large enough to enable the artificial neural network to produce predictions of high accuracy. The developed algorithm allows us to determine, using relatively simple soil tests, the composition of the mixture ensuring compressive strength at a level that allows the use of this material in construction.
|Journal series||Materials, ISSN 1996-1944, (N/A 100 pkt)|
|Publication size in sheets||1.3|
|Keywords in Polish||materiały budowlane|
|Keywords in English||rammed earth; cement stabilized rammed earth; artificial neural networks; sustainable building material|
|Score||= 100.0, 20-12-2019, ArticleFromJournal|
|Publication indicators||= 1; = 1; = 6.0; : 2017 = 1.285; : 2018 = 2.972 (2) - 2018=3.532 (5)|
|Citation count*||6 (2020-01-10)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.