{
  "abstract": "Long-term monitoring can test whether pile-design assumptions remain appropriate as consolidation and soil-pile load transfer develop after construction. This study combines records from three Ontario transportation projects: Ramsayville, Locha Creek, and Nash Road. The database contains 53,218 weekly movement records, 152 sensor channels, 1714 axial-load profiles, and ten instrumented piles. Baseline-referenced axial-force changes were interpreted together with pore pressure, ground and pile movement, soil-test results, pile geometry, load tests, and construction history. Conventional total-stress and effective-stress calculations were retained as engineering baselines, while gradient-boosted models were used to examine nonlinear residuals and the relative influence of measured inputs. A bounded cross-site mobilization relation achieved an in-sample RMSE of 100.0 kN (R2=0.71) and a leave-one-site-out RMSE of 110.2 kN. In a separate Ramsayville daily forecasting analysis, a seven-day moving average outperformed LightGBM and CatBoost, showing that greater model complexity did not improve short-term prediction. The confirmed cost of the full Ramsayville research monitoring program is CAD 678,700: CAD 267,200 for the test-pile program and CAD 411,500 for the production-pile program. A reduced regional seed-site program is estimated at CAD 225,700. At Locha Creek, the project reference exceeded the conditional 95% screening value by 7.9%, equivalent in cost to 2.30 m of installed pile length, or about CAD 919 per representative 29 m pile at CAD 400/m. The corrected break-even scale is approximately 246 similar piles. No screened reduction was supported at Ramsayville or Nash Road. The results define a monitoring-to-design framework that can identify both conservative and unconservative assumptions. Any design modification must still satisfy the governing geotechnical, structural, serviceability, drivability, group, founding, durability, and reliability requirements.",
  "abstract_shown": true,
  "affiliations": [
    "Ministry of Transportation of Ontario, Toronto, ON M9M 2L4, Canada",
    "Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada",
    "Geomechanics and Geotechnics, Institute of Geosciences, Kiel University, 24118 Kiel, Germany"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Tony Sangiuliano"
    },
    {
      "affs": [
        1
      ],
      "name": "Mohammad Zaid"
    },
    {
      "affs": [
        2
      ],
      "name": "Zarghaam Rizvi",
      "orcid": "0000-0002-7553-8310"
    },
    {
      "affs": [
        1
      ],
      "name": "Dipanjan Basu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/427cnsmhpjd1d.bib",
  "cited_by": 0,
  "doi": "10.3390/math14193632",
  "fulltext_url": null,
  "id": "427cnsmhpjd1d",
  "issns": [
    "2227-7390"
  ],
  "landing_url": "https://www.mdpi.com/2227-7390/14/19/3632",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2205|Geotechnical Engineering and Soil Mechanics"
    ]
  ],
  "openalex": "W7221020764",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-08",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/427cnsmhpjd1d.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:29Z",
      "native_id": "10.3390/math14193632",
      "source": "crossref",
      "url": "https://www.mdpi.com/2227-7390/14/19/3632"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "issn:2227-7390",
      "subfield": "general"
    }
  ],
  "title": "Geotechnically Informed Monitoring-Data Fusion and Gradient-Boosted Regression for Instrumented Driven Piles",
  "title_text": "Geotechnically Informed Monitoring-Data Fusion and Gradient-Boosted Regression for Instrumented Driven Piles",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:18:29Z",
  "url": "https://research.draconitic.com/paper/427cnsmhpjd1d",
  "venue": "Mathematics",
  "versions": []
}