A Low-Cost Lightweight Deflectometer with an Arduino-Based Signal Interpretation Kit to Evaluate Soil Modulus SCIE SCOPUS

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Title
A Low-Cost Lightweight Deflectometer with an Arduino-Based Signal Interpretation Kit to Evaluate Soil Modulus
Author(s)
Nguyen, Huyen-Tram; Lee, Yunje; Ahn, Jaehun; Han, Taek Hee; Park, Jun Kil
KIOST Author(s)
Han, Taek Hee(한택희)Park, Jun Kil(박준길)
Alternative Author(s)
한택희; 박준길
Publication Year
2023-12
Abstract
This research presents an innovative solution aimed at addressing the cost and accessibility challenges associated with soil stiffness analysis in construction projects. Traditional lightweight deflectometer (LWD) systems have limitations due to their high cost and proprietary nature, prompting the need for a more widely accessible technology. To fulfill this purpose, a low-cost, open-source LWD onboard sensor signal interpretation system, utilizing Electro-Mechanical and Micro-Electro-Mechanical-System (MEMS) technology-based sensors in conjunction with an Arduino® Uno and ADS1262 Breakout Board, has been developed. This system efficiently processes raw signal data into deflection and force units, enabling precise soil property analysis. Thorough enhancements, calibration, and alignment procedures have been applied and validated through field tests, which have produced highly satisfactory results. By significantly reducing costs while maintaining accuracy, this developed system has the potential to popularize quality control and assurance practices in the construction industry. This open-source approach not only enhances affordability but also broadens accessibility, making soil property analysis more efficient and attainable for a wider range of construction projects.
ISSN
1424-8220
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/44882
DOI
10.3390/s23249710
Bibliographic Citation
Sensors, v.23, no.24, 2023
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
lightweight deflectometer; electro-mechanical; Arduino®; soil stiffness; soil modulus
Type
Article
Language
English
Document Type
Article
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