Soil Profile Stratification Based on Cone Penetration Test Results Using k-means and Hierarchical Clustering
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43759-5_44
Reference22 articles.
1. Cao, Z. J., Zheng, S., Li, D. Q., & Phoon, K. K. (2019). Bayesian identification of soil stratigraphy based on soil behaviour type index. Canadian Geotechnical Journal, 56, 570–586. https://doi.org/10.1139/cgj-2017-0714
2. Carvalho, L. O., Ribeiro, D. B. (2019). Soil classification system from cone penetration test data applying distance-based machine learning algorithms. Soils and Rocks, 42, 167–178. https://doi.org/10.28927/SR.422167
3. Ching, J., Wang, J. S., Juang, C. H., & Ku, C. S. (2015). Cone penetration test (CPT)-based stratigraphic profiling using the wavelet transform modulus maxima method. Canadian Geotechnical Journal, 52, 1993–2007. https://doi.org/10.1139/cgj-2015-0027
4. Deng, Z. P., Jiang, S. H., Niu, J. T., Pan, M., & Liu, L. L. (2020). Stratigraphic uncertainty characterization using generalized coupled Markov chain. Bulletin of Engineering Geology and the Environment. https://doi.org/10.1007/s10064-020-01883-y
5. Depina, I., Le, T. M. H., Eiksund, G., & Strøm, P. (2016). Cone penetration data classification with Bayesian mixture analysis. Georisk, 10, 27–41. https://doi.org/10.1080/17499518.2015.1072637
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