A Review of Modeling Issues on the Seismic Soil-Pile-Structure Interaction

O Çetindemir - KSCE Journal of Civil Engineering, 2024 - Springer
Soil-structure interaction (SSI) is the relationship between soil response affecting structure
movement and vice versa. SSI has long been thought to benefit a structure's seismic …

Novel hybrid models to predict the capillary water absorption values of building stones

D Qian, J Yang, J Wang - Engineering Research Express, 2022 - iopscience.iop.org
The water that moves upward inside the stone is affected by capillary water absorption
(CWA). This upward trend in historic and old buildings causes rapid destruction. In the …

[HTML][HTML] Soil-Structure Interaction: Understanding and Mitigating Challenges

AA Firoozi, AA Firoozi - 2023 - intechopen.com
This chapter provides a comprehensive analysis of Soil-Structure Interaction (SSI), a key
component in solving complex engineering challenges amidst rapid urbanization and …

Концепция интеллектуальной системы геоэкологического мониторинга

СН Верзунов - Проблемы автоматики и управления, 2023 - pau.imash.kg
Аннотация В данной работе проводится анализ применения искусственного
интеллекта и машинного обучения в области геоэкологического мониторинга …

Parameter Identification of Surrounding Rock in Underground Engineering Based on Complex Function Theory

HC Yan, L Zhuo, YJ Shuai, HQ Xie, ML Xiao… - KSCE Journal of Civil …, 2024 - Springer
To investigate the potential use of the complex function theory in displacement back
analysis, a novel method for parameter identification is proposed by combining the complex …

The Application of Machine Learning in Geotechnical Engineering

W Gao - Applied Sciences, 2024 - mdpi.com
Geotechnical engineering is civil engineering constructed in rock and soil and includes
three main types: underground, foundation, and slope engineering. Because rock and soil …

Prediction of Compression Coefficients Based on Machine Learning: A Case of Offshore Wind Farm Site

C Ye, H Sun, F Niu - Iranian Journal of Science and Technology …, 2024 - Springer
Abstract Machine learning methods have a wide range of applications, including predicting
soil compression coefficients for offshore wind power projects. This study compared three …

A hybrid approach to predict the bearing capacity of a square footing on a sand layer overlying clay

E Uncuoglu, L Latifoglu, Z Kaya - Geomechanics and Engineering, 2023 - koreascience.kr
This study investigates to provide a fast solution to the problem of bearing capacity in
layered soils with easily obtainable parameters that does not require the use of any charts or …

Applicability of Artificial Neural Networks (ANN) for Equilibrium State Prediction in Tunnel Excavation

A Tristani, LM Guayacán-Carrillo, J Sulem… - ISRM Congress, 2023 - onepetro.org
Simplified 2D analysis of ground support interaction using the convergence-confinement
method, although useful in preliminary stages of tunnel design, may be inadequate for …

基于机器学习的地铁盾构掘进参数智能预测与控制方法研究.

刘颖彬, 廖少明, 杜华, 白立峰… - Railway Standard …, 2023 - search.ebscohost.com
盾构掘进的精细化和智能化控制是现代隧道施工技术的发展趋势, 为更好地预测和控制盾构掘进
状态, 提出一种预测和控制盾构掘进参数的智能模型. 该模型考虑了多个影响盾构掘进参数的非 …