The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023 - Elsevier
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

Predicting the deformation behaviour of concrete face rockfill dams by combining support vector machine and AdaBoost ensemble algorithm

L Wen, Y Li, W Zhao, W Cao, H Zhang - Computers and Geotechnics, 2023 - Elsevier
The accurate evaluation of deformation behaviour is very important to the optimal design
and safety evaluation of concrete face rockfill dams (CFRDs). Deformation prediction is a …

Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR

AI Lawal, AE Aladejare, M Onifade, S Bada… - International Journal of …, 2021 - Springer
The elemental composition of coal and biomass provides significant parameters used in the
design of almost all energy conversion systems and projects. The laboratory tests to …

Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system

M Iphar, M Yavuz, H Ak - Environmental geology, 2008 - Springer
The aim of this study is to predict the peak particle velocity (PPV) values from both presently
constructed simple regression model and fuzzy-based model. For this purpose, vibrations …

Field practice and ground settlement behaviors of a land creation case in loess area of China

YH Liang, WH Shui, SF Lu - Bulletin of Engineering Geology and the …, 2022 - Springer
High filling to create land requires the practical design of ground treatment and accurate
settlement estimation. However, the two issues are still largely dependent on empirical …

Prediction method of creep settlement considering abrupt factors

Y Yao, J Huang, N Wang, T Luo, L Han - Transportation Geotechnics, 2020 - Elsevier
The creep settlement of embankment and high fills is often accelerated by some abrupt
factors such as rainfalls or temporary loadings. To predict the creep settlement in the …

Predicting the crest settlement of concrete face rockfill dams by combining threshold regression and support vector machine

L Wen, Y Li, H Zhang, Y Liu, H Zhou - International Journal of …, 2022 - ascelibrary.org
The design and construction of concrete face rockfill dams (CFRDs) usually require a rapid
and accurate prediction of deformation behavior to support dam optimal design and safety …

Predicting crest settlement in concrete face rockfill dams using adaptive neuro-fuzzy inference system and gene expression programming intelligent methods

D Behnia, K Ahangari, A Noorzad… - Journal of Zhejiang …, 2013 - Springer
This paper deals with the estimation of crest settlement in a concrete face rockfill dam
(CFRD), utilizing intelligent methods. Following completion of dam construction …

Multiple nonlinear regression models for predicting deformation behavior of concrete-face rockfill dams

L Wen, Y Li, J Chai - International Journal of Geomechanics, 2021 - ascelibrary.org
Deformation assessment and control are important issues in the construction of concrete
face rockfill dams (CFRDs). The design and construction of CFRDs require deformation …

Interpretation of a model footing response through an adaptive neural fuzzy inference system

P Provenzano, S Ferlisi, A Musso - Computers and Geotechnics, 2004 - Elsevier
Modern geomechanics approaches frequently adopt collapse interaction diagrams obtained
from load tests carried out on small-scale footing models in order to describe the overall …