Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He

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DOI: 10.1002/dug2.70007
Published: 2025-04-13
Container: Deep Underground Science and Engineering
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/dug2.70007,
  title = {Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model},
  author = {Qi Zhang and Maohui Wang and Ning Wang and Yixin Shen and Xuzhen He},
  year = {2025},
  journal = {Deep Underground Science and Engineering},
  doi = {10.1002/dug2.70007},
  url = {https://doi.org/10.1002/dug2.70007}
}

RIS

TY  - JOUR
TI  - Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model
AU  - Qi Zhang
AU  - Maohui Wang
AU  - Ning Wang
AU  - Yixin Shen
AU  - Xuzhen He
PY  - 2025
JO  - Deep Underground Science and Engineering
DO  - 10.1002/dug2.70007
UR  - https://doi.org/10.1002/dug2.70007
ER  -

APA

Zhang, Q., Wang, M., Wang, N., Shen, Y., & He, X. (2025). Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model. Deep Underground Science and Engineering. https://doi.org/10.1002/dug2.70007

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crossref · retrieved 2026-11-10T06:50:51.364Z