Numerical simulation of laboratory strength tests using a stochastic approach

abstract published in 2020
Place scholarly_conference_abstract Q96593244
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Summary

Numerical simulation of laboratory strength tests using a stochastic approach is a scholarly conference abstract[1].

Key Facts

  • Numerical simulation of laboratory strength tests using a stochastic approach's instance of is recorded as scholarly conference abstract[2].
  • Numerical simulation of laboratory strength tests using a stochastic approach's page is recorded as 65-66[3].
  • Numerical simulation of laboratory strength tests using a stochastic approach's language of work or name is recorded as English[4].
  • Numerical simulation of laboratory strength tests using a stochastic approach's issue is recorded as 5[5].
  • Numerical simulation of laboratory strength tests using a stochastic approach's volume is recorded as 72[6].
  • Numerical simulation of laboratory strength tests using a stochastic approach's publication date is recorded as +2020-05-01T00:00:00Z[7].
  • Numerical simulation of laboratory strength tests using a stochastic approach's sponsor is recorded as National Institute for Occupational Safety and Health[8].
  • Numerical simulation of laboratory strength tests using a stochastic approach's main subject is recorded as rock mechanics[9].
  • Numerical simulation of laboratory strength tests using a stochastic approach's main subject is recorded as human behavior[10].
  • Numerical simulation of laboratory strength tests using a stochastic approach's work available at URL is recorded as https://me.smenet.org/abstract.cfm?articleID=9657&page=65[11].
  • Numerical simulation of laboratory strength tests using a stochastic approach's title is recorded as Numerical simulation of laboratory strength tests using a stochastic approach[12].
  • Numerical simulation of laboratory strength tests using a stochastic approach's author name string is recorded as Gao D[13].
  • Numerical simulation of laboratory strength tests using a stochastic approach's author name string is recorded as Mishra B[14].
  • Numerical simulation of laboratory strength tests using a stochastic approach's author name string is recorded as Xue Y[15].
  • Numerical simulation of laboratory strength tests using a stochastic approach's NIOSHTIC-2 ID is recorded as 20059709[16].
  • Numerical simulation of laboratory strength tests using a stochastic approach's on focus list of Wikimedia project is recorded as Wikimedia–NIOSH collaboration[17].
  • Numerical simulation of laboratory strength tests using a stochastic approach's funding scheme is recorded as contract[18].
  • Numerical simulation of laboratory strength tests using a stochastic approach's performing organization is recorded as West Virginia University[19].
  • Numerical simulation of laboratory strength tests using a stochastic approach's publication type of scholarly work is recorded as scientific publication[20].

Body

Designation and Status

Numerical simulation of laboratory strength tests using a stochastic approach's instance of is recorded as scholarly conference abstract[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  2. [3] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  5. [6] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  6. [7] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  7. [8] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  8. [9] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  9. [10] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  10. [11] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  11. [12] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  12. [13] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  13. [14] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  14. [15] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  15. [16] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  18. [19] ↑ . NIOSHTIC-2. Retrieved . wikidata.org.
  19. [20] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Numerical simulation of laboratory strength tests using a stochastic approach. Retrieved May 3, 2026, from https://4ort.xyz/entity/numerical-simulation-of-laboratory-strength-tests-using-a-stochastic-approach
MLA “Numerical simulation of laboratory strength tests using a stochastic approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/numerical-simulation-of-laboratory-strength-tests-using-a-stochastic-approach.
BibTeX @misc{4ortxyz_numerical-simulation-of-laboratory-strength-tests-using-a-stochastic-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Numerical simulation of laboratory strength tests using a stochastic approach}}, year = {2026}, url = {https://4ort.xyz/entity/numerical-simulation-of-laboratory-strength-tests-using-a-stochastic-approach}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Numerical simulation of laboratory strength tests using a stochastic approach — https://4ort.xyz/entity/numerical-simulation-of-laboratory-strength-tests-using-a-stochastic-approach (retrieved 2026-05-03)

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