articleUltrasonicsMay 20, 2024Closed access

Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data

PGPanagiotis G. AsterisΜΚΜαρία ΚαρόγλουADAthanasia D. SkentouGVGraça VasconcelosMHMingming He

School of Pedagogical and Technological Education · National Technical University of Athens · +4 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

No abstract available for this paper.

Citation impact

131
total citations
FWCI
31.88
Percentile
100%
References
180
Citations per year

Authors

8

Topics & keywords

Topics
Keywords
  • Schmidt hammer
  • Compressive strength
  • Hammer
  • Porosity
  • Artificial neural network
  • Geology
  • Geotechnical engineering
  • Computer science
No related works found for this paper.