35 Years of (AI) in geotechnical engineering: state of the art
AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …
geotechnical engineering, during those years many (AI) techniques were developed based …
Artificial intelligent techniques for prediction of rock strength and deformation properties–A review
In rock design projects, a number of mechanical properties are frequently employed,
particularly unconfined compressive strength (UCS) and deformation (E). The researchers …
particularly unconfined compressive strength (UCS) and deformation (E). The researchers …
Shear-related roughness classification and strength model of natural rock joint based on fuzzy comprehensive evaluation
Y Zhao, C Zhang, Y Wang, H Lin - … Journal of Rock Mechanics and Mining …, 2021 - Elsevier
This paper investigated shear-related roughness classification based on Fuzzy
comprehensive evaluation, and established a new strength model of natural rock joint. The …
comprehensive evaluation, and established a new strength model of natural rock joint. The …
Introducing stacking machine learning approaches for the prediction of rock deformation
Accurate and reliable predictions of rock deformations are crucial in many rock-based
projects in civil and mining engineering. In this research, a new system for the prediction of …
projects in civil and mining engineering. In this research, a new system for the prediction of …
Closed-form equation for estimating unconfined compressive strength of granite from three non-destructive tests using soft computing models
The use of three artificial neural network (ANN)-based models for the prediction of
unconfined compressive strength (UCS) of granite using three non-destructive test …
unconfined compressive strength (UCS) of granite using three non-destructive test …
[HTML][HTML] Mechanical performance of recycled aggregate concrete in green civil engineering
D Wang, C Lu, Z Zhu, Z Zhang, S Liu, Y Ji… - Case Studies in …, 2023 - Elsevier
The use of recycled aggregate concrete can save natural resources and reduce
environmental pollution, which has been widely concerned in recent years. The physical …
environmental pollution, which has been widely concerned in recent years. The physical …
Support vector machine: principles, parameters, and applications
R Gholami, N Fakhari - Handbook of neural computation, 2017 - Elsevier
Abstract Support Vector Machine (SVM) has been introduced in the late 1990s and
successfully applied to many engineering related applications. In this chapter, attempts were …
successfully applied to many engineering related applications. In this chapter, attempts were …
Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
Many attempts have been made to predict unconfined compressive strength (UCS) of rocks
using back-propagation (BP) artificial neural network (ANN). However, BP-ANN suffers from …
using back-propagation (BP) artificial neural network (ANN). However, BP-ANN suffers from …
Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction
J Li, C Li, S Zhang - Applied Soft Computing, 2022 - Elsevier
The uniaxial compressive strength (UCS) is one of the most important parameters for
judging the mechanical behaviour of rock mass in rock engineering design and excavation …
judging the mechanical behaviour of rock mass in rock engineering design and excavation …
Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)
Abstract The Engineering Applications of Artificial Intelligence (EAAI) is a journal of very high
repute in the domain of Engineering and Computer Science. This paper gives a broad view …
repute in the domain of Engineering and Computer Science. This paper gives a broad view …