Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
[HTML][HTML] Modeling shallow landslides and root reinforcement: A review
Abstract Slope Stability Models (SSMs) are valuable tools used as decision support in land
management to mitigate catastrophic effects caused by rainfall-induced shallow landslides …
management to mitigate catastrophic effects caused by rainfall-induced shallow landslides …
[HTML][HTML] Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China
W Zhang, H Li, L Han, L Chen, L Wang - Journal of Rock Mechanics and …, 2022 - Elsevier
Slope stability prediction plays a significant role in landslide disaster prevention and
mitigation. This study develops an ensemble learning-based method to predict the slope …
mitigation. This study develops an ensemble learning-based method to predict the slope …
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 …
Hybridization of metaheuristic algorithms with adaptive neuro-fuzzy inference system to predict load-slip behavior of angle shear connectors at elevated temperatures
Abstract Steel-Concrete Composite floor systems are one of the essential components in the
construction industry. Recent studies have shown that fire-induced problems damage shear …
construction industry. Recent studies have shown that fire-induced problems damage shear …
Modification of landslide susceptibility mapping using optimized PSO-ANN technique
In the present study, we applied artificial neural network (ANN) optimized with particle
swarm optimization (PSO) for the problem of landslide susceptibility mapping (LSM) …
swarm optimization (PSO) for the problem of landslide susceptibility mapping (LSM) …
Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal …
Featured Application Behavior prediction of channel shear connectors in normal and high-
strength concrete (HSC) without conducting costly experiments. Abstract Channel shear …
strength concrete (HSC) without conducting costly experiments. Abstract Channel shear …
Mapping and holistic design of natural hydraulic lime mortars
In recent years, the study of high hydraulicity natural hydraulic lime (NHL5) mortars has
been in the focus of many researchers, as it is considered a compatible, eco-friendly binding …
been in the focus of many researchers, as it is considered a compatible, eco-friendly binding …
Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization …
This research presents a new model for finding optimal conditions in the concrete
technology area. To do that, results of a series of laboratory investigations on concrete …
technology area. To do that, results of a series of laboratory investigations on concrete …
Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes
This study is aimed to investigate the surface eco-protection techniques for cohesive soil
slopes along the selected Guthrie Corridor Expressway (GCE) stretch by way of analyzing a …
slopes along the selected Guthrie Corridor Expressway (GCE) stretch by way of analyzing a …