Evolving neural network using a genetic algorithm for predicting the deformation modulus of rock masses

A Majdi, M Beiki - International Journal of Rock Mechanics and Mining …, 2010 - Elsevier
The determination of deformation modulus of rock masses is one of the most difficult tasks in
the field of rock mechanics. Due to the high cost and measurement difficulties of in situ tests …

Application of genetic programming to predict the uniaxial compressive strength and elastic modulus of carbonate rocks

M Beiki, A Majdi, AD Givshad - … Journal of Rock Mechanics and Mining …, 2013 - Elsevier
The measures and estimates of the uniaxial compressive strength (UCS i) and elasticity
modulus (E i) of intact rock are regarded as the most widely used design parameters in the …

A new predictive model for uniaxial compressive strength of rock using machine learning method: artificial intelligence-based age-layered population structure genetic …

E Özdemir - Arabian Journal for Science and Engineering, 2022 - Springer
Uniaxial compressive strength (UCS) of rocks is the most commonly used parameter in geo-
engineering application. However, this parameter is hard for measurement due to a time …

Applying evolutionary optimization algorithms for improving fuzzy C-mean clustering performance to predict the deformation modulus of rock mass

A Majdi, M Beiki - International Journal of Rock Mechanics and Mining …, 2019 - Elsevier
This paper focuses on the capability of the evolutionary computation methods namely,
genetic algorithm (GA) and particle swarm optimization (PSO) in design and optimizing the …

Surface subsidence prediction for the WUTONG mine using a 3-D finite difference method

N Xu, PHSW Kulatilake, H Tian, X Wu, Y Nan… - Computers and …, 2013 - Elsevier
WUTONG coal mine is adjacent to an auxiliary dam of the Yuecheng Reservoir. In this
paper, mining-induced surface subsidence prediction is conducted by means of the finite …

Modeling of true triaxial strength of rocks based on optimized genetic programming

B Yu, D Zhang, B Xu, Y Liu, H Zhao, C Wang - Applied Soft Computing, 2022 - Elsevier
The strength of a rock is the main factor affecting the stability of an engineered rock mass. As
laboratory testing requires sophisticated equipment and considerable time to determine rock …

Back-analysis methods for optimal tunnel design

S Vardakos - 2007 - vtechworks.lib.vt.edu
A fundamental element of the observational method in geotechnical engineering practice is
the utilization of a carefully laid out performance monitoring system which provides rapid …

Genetic Programming‐Based Prediction Model for Microseismic Data

M Wang, H Zhou, D Zhang, Y Wang, W Du, B Yu - Geofluids, 2022 - Wiley Online Library
Microseismic monitoring is a rock breakdown monitoring technology, and it has become a
major technical tool for underground disaster warning and prevention. However, the …

A frequency-domain full waveform inversion method of elastic waves in quantitative defection investigation

J Chen, H Wang, D Song, X Ge - 2019 - nopr.niscpr.res.in
Full waveform inversion is a challenging data-fitting procedure based on full wave field
modeling to extract quantitative information on elastic properties of subsurface structures …

Application of soft computing methods for the estimation of roadheader performance from Schmidt Hammer rebound values

H Fattahi - روش های تحلیلی و عددی در مهندسی معدن, 2017‎ - journals.yazd.ac.ir
Estimation of roadheader performance is one of the main topics in determining the
economics of underground excavation projects. The poor performance estimation of …