Prediction of Static Modulus and Compressive Strength of Concrete from Dynamic Modulus Associated with Wave Velocity and Resonance Frequency Using Machine Learning Techniques.
P-wave
S-wave
compressive strength
concrete
dynamic elastic modulus
machine learning
nondestructive method
resonance frequency test
static elastic modulus
Journal
Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929
Informations de publication
Date de publication:
27 Jun 2020
27 Jun 2020
Historique:
received:
27
05
2020
revised:
19
06
2020
accepted:
24
06
2020
entrez:
2
7
2020
pubmed:
2
7
2020
medline:
2
7
2020
Statut:
epublish
Résumé
The static elastic modulus (
Identifiants
pubmed: 32605042
pii: ma13132886
doi: 10.3390/ma13132886
pmc: PMC7372401
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Incheon National University
ID : 0
Références
Materials (Basel). 2015 Oct 22;8(10):7169-7178
pubmed: 28793627
Materials (Basel). 2018 Mar 22;11(4):
pubmed: 29565830
Materials (Basel). 2019 Nov 10;12(22):
pubmed: 31717660