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.

  • Item type:Article
    ID code:84319
    Dates:
    Date
    Event
    30 April 2023
    Published
    8 February 2023
    Published Online
    15 December 2022
    Accepted
    Notes: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:13 Apr 2024 00:38
    URI:https://strathprints.strath.ac.uk/id/eprint/84319
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