{
  "abstract": "In mining metal deposits, blasting fragmentation is a key indicator that directly affects production efficiency and economic costs. To address the limitations of current post-blast assessment, which overlooks the intrinsic relationship between in-situ fragmentation (geological characterization of in-situ rock mass discontinuities) and the resulting blasting fragmentation, this paper proposes a quantitative prediction model and methodology for blasting fragmentation. Through field investigation of discontinuities and three-dimensional discontinuity network modeling, the in-situ fragmentation of rock mass was characterized. Combined with rock breakage characteristics under blasting loads, a fractal-based model was established to predict blasting fragmentation from in-situ fragmentation, yielding a quantitative prediction framework. Across the full size distribution, validation through an engineering case study showed an RMSE of 6.611% and a MAPE of 4.393% between the predicted and measured cumulative fragmentation percentages. The results indicate engineering applicability and provide a quantitative prediction methodology for blasting fragmentation, particularly for boulder yield prediction.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "name": "Jianli Cao"
    },
    {
      "name": "Bingchen Han"
    },
    {
      "name": "Huan Liu"
    },
    {
      "name": "Kejie Zou"
    },
    {
      "name": "Zirui Xiang"
    },
    {
      "name": "Yongyi Fang"
    },
    {
      "name": "Hangxing Ding"
    },
    {
      "name": "Xinyu Liu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9jg5zv3as58eg.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-74962-x",
  "fulltext_url": null,
  "id": "9jg5zv3as58eg",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://www.nature.com/articles/s41598-026-74962-x",
  "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",
      "2215|Blasting Impact and Analysis"
    ]
  ],
  "openalex": "W7220973868",
  "pdf_url": "https://www.nature.com/articles/s41598-026-74962-x_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-08",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/9jg5zv3as58eg.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:24Z",
      "native_id": "10.1038/s41598-026-74962-x",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s41598-026-74962-x"
    }
  ],
  "subjects": [],
  "title": "Prediction of blasting fragmentation based on geological characterization of in-situ rock mass discontinuities",
  "title_text": "Prediction of blasting fragmentation based on geological characterization of in-situ rock mass discontinuities",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:24Z",
  "url": "https://research.draconitic.com/paper/9jg5zv3as58eg",
  "venue": "Scientific Reports",
  "versions": []
}