{
  "abstract": "To address the accuracy bottleneck of the traditional Anderson blast-induced vibration prediction model, which assumes fixed sub-wave peak time and suffers from phase error accumulation during multi-hole superposition, a model correction method based on the nonlinear attenuation of peak time is proposed. Taking single-hole charge quantity, blast center distance and peak particle velocity (PPV) as core influencing factors, a peak time prediction formula is derived through dimensional analysis, revealing the nonlinear evolution law of peak time with propagation parameters. On this basis, an amplitude-time dual-parameter corrected Anderson nonlinear superposition model is constructed by simultaneously applying amplitude scaling and time-axis scaling to the reference wavelet. Systematic verifications are carried out through single-hole, double-hole and six-hole blasting tests as well as a 16-hole engineering case. The results show that compared with the traditional model, the relative error of PPV is reduced from the range of 15.2%–29.0% to 6.9%–14.0%, and the relative error of peak time is reduced from the range of 88%–115% to 1.3%–30.0%. The coincidence degree of waveform shape and spectral characteristics is significantly improved, and the dominant frequency prediction deviation of all test cases is controlled within 8 Hz. In the 16-hole large-scale open-pit bench blasting, the PPV prediction deviation is only 7.9%, and the peak time deviation is merely 2 ms. This model effectively solves the phase error accumulation problem in multi-hole blast-induced vibration superposition, and can provide reliable theoretical support for precise blast-induced vibration prediction and safety control.",
  "abstract_shown": true,
  "affiliations": [
    "China ENFI Engineering Corporation"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Bei Jia"
    },
    {
      "affs": [
        0
      ],
      "name": "Lulu Qi"
    },
    {
      "affs": [
        0
      ],
      "name": "Xiaolong Li"
    },
    {
      "affs": [
        0
      ],
      "name": "Jie Zhang"
    },
    {
      "affs": [
        0
      ],
      "name": "Wen Li"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/fpw6hxmeh54x6.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-63048-3",
  "fulltext_url": "https://doi.org/10.1038/s41598-026-63048-3",
  "id": "fpw6hxmeh54x6",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://doi.org/10.1038/s41598-026-63048-3",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "Q"
    ],
    [
      "lcc",
      "R"
    ],
    [
      "openalex",
      "2215|Blasting Impact and Analysis"
    ]
  ],
  "openalex": "W7169758595",
  "pdf_url": "https://www.nature.com/articles/s41598-026-63048-3.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/fpw6hxmeh54x6.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:45:58Z",
      "native_id": "bfdc89743a4e452aa04b150fa68b8afb",
      "source": "doaj",
      "url": "https://doi.org/10.1038/s41598-026-63048-3"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "lcc:R",
      "subfield": "general"
    }
  ],
  "title": "Research on prediction method for blast vibration waveforms considering peak-time variation",
  "title_text": "Research on prediction method for blast vibration waveforms considering peak-time variation",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:45:58Z",
  "url": "https://research.draconitic.com/paper/fpw6hxmeh54x6",
  "venue": "Scientific Reports",
  "versions": []
}