State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction
There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …
and limited land in metropolitan cities in the recent years. However, the behavior of …
Ensemble extreme gradient boosting based models to predict the bearing capacity of micropile group
M Esmaeili-Falak, RS Benemaran - Applied Ocean Research, 2024 - Elsevier
In most cases in which non-allowable settlement or losing of bearing capacity has been
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …
Gaussian process regression technique to estimate the pile bearing capacity
A commonly-encountered problem in foundation design is the reliable prediction of the pile
bearing capacity (PBC). This study is planned to propose a feasible soft computing …
bearing capacity (PBC). This study is planned to propose a feasible soft computing …
Novel hybrid MFO-XGBoost model for predicting the racking ratio of the rectangular tunnels subjected to seismic loading
This study proposes a novel hybrid MFO-XGBoost model that integrates the moth-flame
optimization (MFO) algorithm and the extreme gradient boosting (XGBoost) to predict the …
optimization (MFO) algorithm and the extreme gradient boosting (XGBoost) to predict the …
Estimation of soil cohesion using machine learning method: A random forest approach
Soil cohesion (C) is one of the critical soil properties and is closely related to basic soil
properties such as particle size distribution, pore size, and shear strength. Hence, it is mainly …
properties such as particle size distribution, pore size, and shear strength. Hence, it is mainly …
[HTML][HTML] Systematic literature review and mapping of the prediction of pile capacities
SL Carvalho, MM Sales, ALB Cavalcante - Soils and Rocks, 2023 - SciELO Brasil
Predicting the pile's load capacity is one of the first steps of foundation engineering design.
In geotechnical engineering, there are different ways of predicting soil resistance, which is …
In geotechnical engineering, there are different ways of predicting soil resistance, which is …
Estimation of flexible pavement structural capacity using machine learning techniques
N Karballaeezadeh, H Ghasemzadeh Tehrani… - Frontiers of Structural …, 2020 - Springer
The most common index for representing structural condition of the pavement is the
structural number. The current procedure for determining structural numbers involves …
structural number. The current procedure for determining structural numbers involves …
Integrated framework for assessment of time-variant flood fragility of bridges using deep learning neural networks
The increasing intensity and frequency of extreme hydrological events poses a significant
threat to the safety of transportation infrastructure across the globe. To reduce the failure risk …
threat to the safety of transportation infrastructure across the globe. To reduce the failure risk …
Smart structural health monitoring of flexible pavements using machine learning methods
N Karballaeezadeh, D Mohammadzadeh S… - Coatings, 2020 - mdpi.com
The pavement is a complex structure that is influenced by various environmental and
loading conditions. The regular assessment of pavement performance is essential for road …
loading conditions. The regular assessment of pavement performance is essential for road …
A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability: Exploration from historical data
M Ahmad, XW Tang, JN Qiu, F Ahmad… - Frontiers of Structural and …, 2020 - Springer
The unprecedented liquefaction-related land damage during earthquakes has highlighted
the need to develop a model that better interprets the liquefaction land damage vulnerability …
the need to develop a model that better interprets the liquefaction land damage vulnerability …