Version 1
: Received: 20 October 2024 / Approved: 21 October 2024 / Online: 21 October 2024 (11:59:41 CEST)
How to cite:
Martin Antunes, M. A.; Prieto Cobo, E.; Garcia, B.; Perlot Bascoulès, C.; Seco Meneses, A. A Methodology to Optimize Natural By-Products Mixes for Rammed Earth Construction Based on the Taguchi Method. Preprints2024, 2024101559. https://doi.org/10.20944/preprints202410.1559.v1
Martin Antunes, M. A.; Prieto Cobo, E.; Garcia, B.; Perlot Bascoulès, C.; Seco Meneses, A. A Methodology to Optimize Natural By-Products Mixes for Rammed Earth Construction Based on the Taguchi Method. Preprints 2024, 2024101559. https://doi.org/10.20944/preprints202410.1559.v1
Martin Antunes, M. A.; Prieto Cobo, E.; Garcia, B.; Perlot Bascoulès, C.; Seco Meneses, A. A Methodology to Optimize Natural By-Products Mixes for Rammed Earth Construction Based on the Taguchi Method. Preprints2024, 2024101559. https://doi.org/10.20944/preprints202410.1559.v1
APA Style
Martin Antunes, M. A., Prieto Cobo, E., Garcia, B., Perlot Bascoulès, C., & Seco Meneses, A. (2024). A Methodology to Optimize Natural By-Products Mixes for Rammed Earth Construction Based on the Taguchi Method. Preprints. https://doi.org/10.20944/preprints202410.1559.v1
Chicago/Turabian Style
Martin Antunes, M. A., Céline Perlot Bascoulès and Andres Seco Meneses. 2024 "A Methodology to Optimize Natural By-Products Mixes for Rammed Earth Construction Based on the Taguchi Method" Preprints. https://doi.org/10.20944/preprints202410.1559.v1
Abstract
In this investigation, four distinct by-products of natural materials were used to compose a mix for rammed earth construction. The mix of these materials, which have various granulometry, affords many potential combinations, making the analysis of different combinations highly complex. The Taguchi method, a statistical approach renowned for significantly reducing the number of ex-periments in complex systems, was employed to address this challenge. Each of the four ma-terials was assessed across four different levels, with moisture content also factored in as a pa-rameter within the statistical analysis. Two separate studies were conducted to obtain two optimal com-binations of the materials to enhance the dry density and the Unconfined Compressive Strength (UCS). Taguchi method demonstrated its efficacy in predicting the optimal combination of mix-tures for enhancing both objective parameters. A natural by-product mix demonstrated its po-tential for use as a building material. The enhancement of the dry density due to a modification of the mix’s Particle Size Distribution (PSD) did not produce a direct improvement in the mix UCS. The factor to be prioritized should be the mechanical strength, rather than the dry density of the sample.
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.