Probabilistic Soil Strata Delineation Using DPT Data and Bayesian Changepoint Detection

Suryasentana, Stephen K.; Lawler, Myles; Sheil, Brian B.; Lehane, Barry

doi:10.1061/jggefk.gteng-10843

Cited by 2 publications

(10 citation statements)

References 26 publications

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“…This paper investigates the offline BCPD method [59,60], which was previously used in geotechnical engineering [43] to delineate clay layers based on undrained shear strength data. Offline Bayesian changepoint detection algorithms aim to pinpoint moments when the statistical characteristics of data significantly shift.…”

Section: Offline Bcpdmentioning

confidence: 99%

“…In the context of soil data, the changepoint would correspond to a significant change in soil behaviour and, thus, a soil layer boundary. A key advantage of BCPD methods is their computational efficiency, as it typically takes only a few seconds to predict the soil layer boundaries at a single location [43]. There are two types of BCPD methods: offline and online.…”

Section: Introductionmentioning

confidence: 99%

“…The BCPD method was first applied in geotechnical engineering as an offline BCPD method [44] that uses undrained shear strength s u to identify layering structures in clayey ground. Recently, both online and offline BCPD methods [43] were proposed that use dynamic penetration test (DPT) data to identify soil layer boundaries between three soil classes (fine-grained soils, sand, and gravel). The BCPD method proposed in Ref.…”

Section: Introductionmentioning

confidence: 99%

“…[44] provides the maximum a posteriori estimate of the soil layer boundaries, while the BCPD methods proposed in Ref. [43] provide the probability of a changepoint at each depth, which is then compared to a threshold to determine whether a changepoint has been detected. The main difference between the BCPD methods proposed in Refs.…”

Section: Introductionmentioning

confidence: 99%

“…The main difference between the BCPD methods proposed in Refs. [43,44] is that the former is an 'unsupervised' method that requires no training process, while the latter is a 'supervised' method that requires a training process to calibrate the changepoint threshold. Unsupervised BCPD methods are generally more convenient to apply, as it takes significant time and effort to prepare the training data.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Assessment of Bayesian Changepoint Detection Methods for Soil Layering Identification Using Cone Penetration Test Data

Suryasentana,

Sheil,

Lawler

2024

Geotechnics

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This paper assesses the effectiveness of different unsupervised Bayesian changepoint detection (BCPD) methods for identifying soil layers, using data from cone penetration tests (CPT). It compares four types of BCPD methods: a previously utilised offline univariate method for detecting clay layers through undrained shear strength data, a newly developed online univariate method, and an offline and an online multivariate method designed to simultaneously analyse multiple data series from CPT. The performance of these BCPD methods was tested using real CPT data from a study area with layers of sandy and clayey soil, and the results were verified against ground-truth data from adjacent borehole investigations. The findings suggest that some BCPD methods are more suitable than others in providing a robust, quick, and automated approach for the unsupervised detection of soil layering, which is critical for geotechnical engineering design.

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Section: Offline Bcpdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%