Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks — Panagiotis Asteris (2021) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
Shared by
Panagiotis Asteris
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
Article
2021
en
Authors
+5 more
Panagiotis Asteris
AM
Anna Mamou
MH
Mohsen Hajihassani
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2022
Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks
Tien-Thinh Le
,
Athanasia D. Skentou
,
Anna Mamou
,
Panagiotis Asteris
Article
2024
Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
Panagiotis Asteris
,
Μαρία Καρόγλου
,
Athanasia D. Skentou
,
Graça Vasconcelos
,
Mingming He
,
Asterios Bakolas
,
Jian Zhou
,
Danial Jahed Armaghani
Article
2022
Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing Models
Athanasia D. Skentou
,
Abidhan Bardhan
,
Anna Mamou
,
Minas E. Lemonis
,
Gaurav Kumar
,
Pijush Samui
,
Danial Jahed Armaghani
,
Panagiotis Asteris
Article
2024
State-of-the-art XGBoost, RF and DNN based soft-computing models for PGPN piles
Manish Kumar
,
Pijush Samui
,
Divesh Ranjan Kumar
,
Panagiotis Asteris
Article
2020
Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times
Ahmed Salih Mohammed
,
Serwan Rafiq
,
Parveen Sihag
,
Rawaz Kurda
,
Wael Mahmood
Discussion(0)
No comments yet. Be the first to comment.