Prediction of shear strength of soft soil using machine learning methods
Shear strength of the soil is an important engineering parameter used in the design and
audit of geo-technical structures. In this research, we aim to investigate and compare the …
audit of geo-technical structures. In this research, we aim to investigate and compare the …
A survey on applications of artificial intelligence for pre-parametric project cost and soil shear-strength estimation in construction and geotechnical engineering
Ensuring soil strength, as well as preliminary construction cost and duration prediction, is a
very crucial and preliminary aspect of any construction project. Similarly, building strong …
very crucial and preliminary aspect of any construction project. Similarly, building strong …
A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of …
Coefficient of consolidation (C v) is a measure of compressibility of soil. This coefficient is an
important parameter which is used in the design of foundation of civil engineering structures …
important parameter which is used in the design of foundation of civil engineering structures …
Soil database development with the application of machine learning methods in soil properties prediction
Excessive rainwater infiltration can be an important causal agent of both slope and whole
tree uprooting failures. Early warnings or stabilization measures on high-risk slopes or trees …
tree uprooting failures. Early warnings or stabilization measures on high-risk slopes or trees …
Implementing ensemble learning models for the prediction of shear strength of soil
Precise estimation of the shear strength (SS) parameters of soil is one of the important
criteria in the geotechnical design process. The aim of this research is to find out the …
criteria in the geotechnical design process. The aim of this research is to find out the …
Predicting nominal shear capacity of reinforced concrete wall in building by metaheuristics-optimized machine learning
Reinforced concrete shear walls are used in many structural systems to resist earthquake
loading. In recent earthquakes, shear wall buildings have tended to perform well. Modern …
loading. In recent earthquakes, shear wall buildings have tended to perform well. Modern …
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 …
A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway …
Determining the shear strength of soil is an important task in the design phase of
construction project. This study puts forward an artificial intelligence (AI) solution to estimate …
construction project. This study puts forward an artificial intelligence (AI) solution to estimate …
Automatic recognition of asphalt pavement cracks based on image processing and machine learning approaches: a comparative study on classifier performance
ND Hoang, QL Nguyen - Mathematical Problems in …, 2018 - Wiley Online Library
Periodic surveys of asphalt pavement condition are very crucial in road maintenance. This
work carries out a comparative study on the performance of machine learning approaches …
work carries out a comparative study on the performance of machine learning approaches …
[HTML][HTML] Prediction of shear strength of soil using direct shear test and support vector machine model
HB Ly, BT Pham - The Open Construction & …, 2020 - …
Background: Shear strength of soil, the magnitude of shear stress that a soil can maintain, is
an important factor in geotechnical engineering. Objective: The main objective of this study …
an important factor in geotechnical engineering. Objective: The main objective of this study …