A review study of application of artificial intelligence in construction management and composite beams

Y Cao, Y Zandi, AS Agdas, Q Wang, X Qian… - Steel and Composite …, 2021 - dbpia.co.kr
This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil
engineering applications such as predicting and evaluating the different parameters of …

An artificial intelligence-based prediction model for optimum design variables of reinforced concrete retaining walls

M Yücel, G Bekdaş, SM Nigdeli… - International Journal of …, 2021 - ascelibrary.org
In this study, a hybrid method was developed to predict optimum dimensions of reinforced
concrete (RC) cantilever-type retaining walls. The metaheuristic-based optimization process …

Static model tests on mechanical behaviour of assembled multi-step cantilever walls

Z Li, S Xiao - International Journal of Physical Modelling in …, 2023 - icevirtuallibrary.com
An assembled multi-step cantilever retaining wall is a new type of light retaining structure,
which can be quickly installed in situ and is suitable for high-fill earthworks. To investigate its …

Empirical formulation of ferrocement members moment capacity using artificial neural networks

T Kalman Sipos, P Parsa - Journal of soft computing in civil …, 2020 - jsoftcivil.com
In the two past decades, ferrocement members have been with a wide variety of uses in
structural applications because of their unique physical properties (high surface-area-to …

An Artificial Intelligence Approach for Tunnel Construction Performance

SK Eng, B He, M Monjezi… - Journal of Soft Computing …, 2023 - jsoftcivil.com
As massive tunneling projects become more and more popular, predicting the performance
of Tunnel Boring Machine (TBM) has been a problem that arose recently. A TBM is a modern …

The punching shear capacity estimation of FRP-strengthened RC slabs using artificial neural network and group method of data handling

E Darvishan - Journal of Rehabilitation in Civil …, 2021 - civiljournal.semnan.ac.ir
Recently soft computing methods have been employed in most fields, especially in civil
engineering, due to its high accuracy to predict the results and process information. Soft …

Structural damage detection of reinforced concrete shear walls subject to consequent earthquakes

F Khademian, H Naderpour, MK Sharbatdar - SN Applied Sciences, 2020 - Springer
Structural health monitoring is a procedure to provide accurate and immediate information
on the condition and efficiency of structures. There is a variety of damage factors and the …

Fuzzy logic based prediction of retaining wall stability

EA Çubukçu, E Uray, V Demir - CHALLENGE, 2023 - challengejournal.com
In geotechnical engineering, retaining walls are widely employed to solve the problem of
supporting horizontal loads occurring between two different soil levels. In the traditional …

[PDF][PDF] Use of artificial neural networks in stability control of cantilever retaining walls

E Uray, V Demir, AÜ KESKİN, Ö Tan - 2019 - researchgate.net
Stability conditions effective on the design of the wall are safety factors of sliding, overturning
and slope stability. Design of a cantilever retaining wall depends on great numbers of …

Comparative analysis of factors influencing the optimal seismic design of retaining walls

Z Akbay Arama, İ Dalyan, G Bekdaş… - Arabian Journal of …, 2022 - Springer
This study focuses on the optimal cost design of reinforced concrete retaining walls
(RCRWs) depending on the flower pollination algorithm (FPA) under seismic loading. The …