Analytical method for new tunnel crossing pile foundation of existing bridge: a case study

KJ Wang, GY Li, PQ Mo, Z Shi… - Proceedings of the …, 2023 - icevirtuallibrary.com
This paper describes an analytical method for investigating the tunnel–pile interaction for
new tunnels crossing the pile foundation of the Shenzhen Bay Bridge, with a case study …

A review on application of soft computing techniques in geotechnical engineering

TV Nagaraju, M Sireesha, BM Sunil… - … Conference on Advances …, 2023 - Springer
Numerous test results, mathematical relationships, and in-the-moment analysis and design
are all components of geotechnical issues. Additionally, due to smart infrastructure and …

Cloud inversion analysis of surrounding rock parameters for underground powerhouse based on PSO-BP optimized neural network and web technology

L Qu, HQ Xie, JL Pei, YG Li, JM Wu, G Feng… - Scientific Reports, 2024 - nature.com
Aiming at the shortcomings of the BP neural network in practical applications, such as easy
to fall into local extremum and slow convergence speed, we optimized the initial weights and …

[HTML][HTML] Prediction of rockfall hazard in open pit mines using a regression based machine learning model

IP Senanayake, P Hartmann, A Giacomini… - International Journal of …, 2024 - Elsevier
This study investigates the feasibility of implementing simple Machine Learning models to
make fast and reliable predictions of rockfall energies and run-outs at the base of highwalls …

Research on mining land subsidence by intelligent hybrid model based on gradient boosting with categorical features support algorithm

B Zhang, C Xu, X Dai, X Xiong - Journal of Environmental Management, 2024 - Elsevier
Land subsidence induced by coal mining (MLS) has posed a huge threat to the ecological
environment, buildings, roads, and other infrastructure safety in mining areas. However, the …

A machine-learning based approach to estimate acoustic macroscopic parameters of porous concrete

L Pereira, L Godinho, FG Branco… - … and Building Materials, 2024 - Elsevier
Porous concrete with expanded clay inherent porosity makes it an interesting and effective
acoustic material, applied in numerous scenarios such as highways, airports and …

Artificial intelligence algorithms in flood prediction: a general overview

M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …

Artificial intelligence in civil engineering: An immersive view

NR Kapoor, A Kumar, A Kumar, A Kumar… - Artificial Intelligence …, 2024 - Elsevier
Conventionally, civil engineering is the branch mainly related to the construction of
buildings, bridges, highways, etc. Presently, the scope of civil engineering is widening, and …

Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology

VL Pacheco, L Bragagnolo, F Dalla Rosa… - … Science and Pollution …, 2023 - Springer
In this article, the optimization of the specific urease activity (SUA) and the calcium
carbonate (CaCO3) using microbially induced calcite precipitation (MICP) was compared to …

[HTML][HTML] Predicting the strut forces of the steel supporting structure of deep excavation considering various factors by machine learning methods

H Hu, X Hu, X Gong - Underground Space, 2024 - Elsevier
The application of steel strut force servo systems in deep excavation engineering is not
widespread, and there is a notable scarcity of in-situ measured datasets. This presents a …