Probabilistic soil strata delineation using DPT data and Bayesian changepoint detection
Suryasentana, Stephen K. and Lawler, Myles and Sheil, Brian B. and Lehane, Barry M. (2023) Probabilistic soil strata delineation using DPT data and Bayesian changepoint detection. Journal of Geotechnical and Geoenvironmental Engineering, 149 (4). 06023001. ISSN 1090-0241 (https://doi.org/10.1061/jggefk.gteng-10843)
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Abstract
Soil strata delineation is a fundamental step for any geotechnical engineering design. The dynamic penetration test (DPT) is a fast, low cost in situ test that is commonly used to locate boundaries between strata of differing density and driving resistance. However, DPT data are often noisy and typically require time-consuming, manual interpretation. This paper investigates a probabilistic method that enables delineation of dissimilar soil strata (where each stratum is deemed to belong to different soil groups based on their particle size distribution) by processing DPT data with Bayesian changepoint detection methods. The accuracy of the proposed method is evaluated using DPT data from a real-world case study, which highlights the potential of the proposed method. This study provides a methodology for faster DPT-based soil strata delineation, which paves the way for more cost-effective geotechnical designs.
ORCID iDs
Suryasentana, Stephen K. ORCID: https://orcid.org/0000-0001-5460-5089, Lawler, Myles, Sheil, Brian B. and Lehane, Barry M.;-
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Item type: Article ID code: 84319 Dates: DateEvent30 April 2023Published8 February 2023Published Online15 December 2022AcceptedNotes: Copyright © 2023 American Society of Civil Engineers. This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://ascelibrary.org/doi/epdf/10.1061/JGGEFK.GTENG-10843 Subjects: Technology > Engineering (General). Civil engineering (General) Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 21 Feb 2023 15:00 Last modified: 11 Nov 2024 13:49 URI: https://strathprints.strath.ac.uk/id/eprint/84319