A comprehensive review of slope stability analysis based on artificial intelligence methods

W Gao, S Ge - Expert Systems with Applications, 2023 - Elsevier
For preventing landslide disasters caused by the slope collapse, it is crucial to research on
the investigation of slope stability. For the very complex influence factors on the slope …

[HTML][HTML] Metaheuristic optimization algorithms for real-world electrical and civil engineering application: A Review

H Rezk, AG Olabi, T Wilberforce, ET Sayed - Results in Engineering, 2024 - Elsevier
Metaheuristic optimization algorithms (MOAs) are gaining increasing interest because of
their exceptional effectiveness in addressing many optimization issues. Nevertheless, these …

[HTML][HTML] Application of harmony search algorithm to slope stability analysis

SS Haghshenas, SS Haghshenas, ZW Geem, TH Kim… - Land, 2021 - mdpi.com
Slope stability analysis is undoubtedly one of the most complex problems in geotechnical
engineering and its study plays a paramount role in mitigating the risk associated with the …

Optimum design of combined footings using swarm intelligence-based algorithms

AR Kashani, CV Camp, M Akhani, S Ebrahimi - Advances in Engineering …, 2022 - Elsevier
This study considers the optimum design of reinforced concrete combined footings. Analysis
and design procedures are developed based on the American Concrete Institute (ACI 318 …

NURBS surface-altering optimization for identifying critical slip surfaces in 3D slopes

T Ma, R Mafi, B Cami, S Javankhoshdel… - International Journal of …, 2022 - ascelibrary.org
The evaluation of slope stability of a three-dimensional slope requires identifying the critical
slip surface with the minimum factor of safety, which is a complex optimization problem …

Slope stability evaluation using neural network optimized by equilibrium optimization and vortex search algorithm

LK Foong, H Moayedi - Engineering with Computers, 2022 - Springer
A dependable evaluation of the stability of slopes is a prerequisite in many construction
projects. Although machine learning models have been satisfactorily used for this purpose …

Spline search for slip surfaces in 3d slopes

T Ma, B Cami, S Javankhoshdel, B Corkum… - International Journal …, 2023 - ascelibrary.org
A novel method involving the transformation of spline surfaces is introduced to search for the
critical slip surface in a three-dimensional (3D) slope, which corresponds to the minimum …

Slope stability analysis using black widow optimization hybridized with artificial neural network

LK Foong, H Hu, M Gör, H Moayedi… - Smart Structures and …, 2022 - dbpia.co.kr
A novel metaheuristic search method, namely black widow optimization (BWO) is employed
to increase the accuracy of slope stability analysis. The BWO is a recently-developed …

Hybrid artificial neural network models for bearing capacity evaluation of a strip footing on sand based on Bolton failure criterion

W Jitchaijaroen, DR Kumar, S Keawsawasvong… - Transportation …, 2024 - Elsevier
This paper employs the Bolton failure criterion, incorporating strength-dilatancy
relationships, to analyze the bearing capacity factor of a strip footing on dense sand …

Generating slip surfaces using the logistic function integral

Q Xie, Y Jie, Y Cui, C Yin - International Journal of Geomechanics, 2023 - ascelibrary.org
How to generate slip surfaces efficiently is crucial for the stability analysis of slopes.
Traditional approaches for generating slip surfaces rely directly on the geometric features of …