Adaptive Utilization of Pressure Sensor Data in Excavation
Juola, Hannu; Heikkilä, Rauno; Immonen, Matti; Niskanen, Ilpo (2024-02-27)
Juola, Hannu
Heikkilä, Rauno
Immonen, Matti
Niskanen, Ilpo
The Scientific Press
27.02.2024
Juola, H., Heikkilä, R., Immonen, M., & Niskanen, I. (2024). Adaptive utilization of pressure sensor data in excavation. Journal of Earth Sciences and Geotechnical Engineering, 1–18. https://doi.org/10.47260/jesge/1411
https://creativecommons.org/licenses/by/4.0/
© 2024 The Authors. Scientific Press International as Publisher applies the Creative Commons Attribution License (CCAL) to all works we publish.
https://creativecommons.org/licenses/by/4.0/
© 2024 The Authors. Scientific Press International as Publisher applies the Creative Commons Attribution License (CCAL) to all works we publish.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202402292048
https://urn.fi/URN:NBN:fi:oulu-202402292048
Tiivistelmä
Abstract
The assessment of soil parameters in construction holds significant importance for refining building information modeling (BIM). Our study aimed to investigate the adaptive utilization of pressure sensor data as a dynamic and computationally efficient tool for this purpose. The results reveal a significant correlation between the pressure sensor readings of the hydraulic cylinder in the excavator bucket and the total load during static-dynamic penetration tests conducted in both homogeneous and heterogeneous soil. This correlation holds true across a 100% range of torque, with values recorded at 0.60 and 0.93, respectively. A key strength of this methodology lies in that it enables near real-time detection of verified boundary levels. This feature streamlines the adoption and development of BIM-based excavation methods that seamlessly align with current practical conditions.
The assessment of soil parameters in construction holds significant importance for refining building information modeling (BIM). Our study aimed to investigate the adaptive utilization of pressure sensor data as a dynamic and computationally efficient tool for this purpose. The results reveal a significant correlation between the pressure sensor readings of the hydraulic cylinder in the excavator bucket and the total load during static-dynamic penetration tests conducted in both homogeneous and heterogeneous soil. This correlation holds true across a 100% range of torque, with values recorded at 0.60 and 0.93, respectively. A key strength of this methodology lies in that it enables near real-time detection of verified boundary levels. This feature streamlines the adoption and development of BIM-based excavation methods that seamlessly align with current practical conditions.
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