Scholarlink

<p>This study presents a fully automated, Python-based framework for predicting shallow foundation settlements from pushed-in PENCEL pressuremeter (PPMT) data, using an adapted implementation of Briaud’s (J Geotech Geoenviron Eng 133:905–920, 2007) method. The framework transforms raw in situ test results into design-grade load–settlement curves by automating key analytical steps, including borehole wall-point detection, Lemée-type extrapolation for incomplete curves, strain-specific pressure extraction, and Schmertmann-based strain-influence zoning. Unlike traditional approaches that often rely on manual interpretation or pre-bored pressuremeter data, this method extends Briaud’s framework to pushed-in PPMT devices, which offer logistical advantages in sandy soils. Correction factors for footing shape, load eccentricity, load inclination, and proximity to slopes are included to reflect realistic boundary conditions. The framework’s predictions were validated against advanced PLAXIS 3D simulations and full-scale field measurements across three Florida sites, demonstrating close agreement and confirming its reliability in cohesionless soils. By automating a traditionally complex procedure and promoting open-source reproducibility, this tool enables faster, more consistent deformation-based foundation design. The framework, implemented in Python, has been validated using field data and simulations and is publicly available for geotechnical practice and research.</p> Graphical abstract

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Automated Settlement Prediction of Shallow Foundations Using Pushed-in PENCEL Pressuremeter Data and Briaud’s Method: A Python Framework

  • 期刊论文

  • 发表日期：

    2025年10月31日

查看全文
  • Brhane W. Ygzaw,
  • Paul J. Cosentino

摘要

This study presents a fully automated, Python-based framework for predicting shallow foundation settlements from pushed-in PENCEL pressuremeter (PPMT) data, using an adapted implementation of Briaud’s (J Geotech Geoenviron Eng 133:905–920, 2007) method. The framework transforms raw in situ test results into design-grade load–settlement curves by automating key analytical steps, including borehole wall-point detection, Lemée-type extrapolation for incomplete curves, strain-specific pressure extraction, and Schmertmann-based strain-influence zoning. Unlike traditional approaches that often rely on manual interpretation or pre-bored pressuremeter data, this method extends Briaud’s framework to pushed-in PPMT devices, which offer logistical advantages in sandy soils. Correction factors for footing shape, load eccentricity, load inclination, and proximity to slopes are included to reflect realistic boundary conditions. The framework’s predictions were validated against advanced PLAXIS 3D simulations and full-scale field measurements across three Florida sites, demonstrating close agreement and confirming its reliability in cohesionless soils. By automating a traditionally complex procedure and promoting open-source reproducibility, this tool enables faster, more consistent deformation-based foundation design. The framework, implemented in Python, has been validated using field data and simulations and is publicly available for geotechnical practice and research.

Graphical abstract