Artificial neural networks for sustainable development of the construction industry
Artificial Neural Networks (ANNs), the most popular and widely used Artificial Intelligence
(AI) technology due to their proven accuracy and efficiency in control, estimation …
(AI) technology due to their proven accuracy and efficiency in control, estimation …
Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis
This study investigates the non-linear capabilities of two machine learning prediction
models, namely Light GBM and XGBoost, for predicting the values of Rapid Chloride …
models, namely Light GBM and XGBoost, for predicting the values of Rapid Chloride …
A novel approach in forecasting compressive strength of concrete with carbon nanotubes as nanomaterials
The evolution of nanotechnology in cementitious concrete can be used to enhance the
mechanical behavior of concrete and other materials. Thus, the utilization of carbon …
mechanical behavior of concrete and other materials. Thus, the utilization of carbon …
Predicting mechanical properties of carbon nanotube-reinforced cementitious nanocomposites using interpretable ensemble learning models
Compressive and flexural strength are important characteristics that indicate the efficiency of
utilizing carbon nanotube (CNT) in cementitious nanocomposites. Preparing numerous test …
utilizing carbon nanotube (CNT) in cementitious nanocomposites. Preparing numerous test …
Strength estimation and feature interaction of carbon nanotubes-modified concrete using artificial intelligence-based boosting ensembles
F Zhu, X Wu, Y Lu, J Huang - Buildings, 2024 - mdpi.com
The standard approach for testing ordinary concrete compressive strength (CS) is to cast
samples and test them after different curing times. However, testing adds cost and time to …
samples and test them after different curing times. However, testing adds cost and time to …
Gradient boosting hybridized with exponential natural evolution strategies for estimating the strength of geopolymer self-compacting concrete
SA Basilio, L Goliatt - Knowledge …, 2022 - … journals.publicknowledgeproject.org
The current global demand to minimize carbon dioxide (CO2 $) emissions from Portland
cement manufacturing processes has led to the use of environmentally friendly additives in …
cement manufacturing processes has led to the use of environmentally friendly additives in …
A review on AI-driven environmental-assisted stress corrosion cracking properties of conventional and advanced manufactured alloys
C Mathew, E Adu-Gyamfi - Corrosion Engineering, Science …, 2024 - journals.sagepub.com
Stress corrosion cracking (SCC) poses a significant challenge to the integrity and longevity
of both conventional and advanced manufactured alloys, impacting critical industries such …
of both conventional and advanced manufactured alloys, impacting critical industries such …
Machine learning for predicting the half cell potential of cathodically protected reinforced cement concrete slabs subjected to chloride ingress
This research work predicts the Half Cell Potential (HCP) values of cathodically protected
concrete slabs subjected to chloride ingress using machine learning techniques. Six classes …
concrete slabs subjected to chloride ingress using machine learning techniques. Six classes …
RIME-RF-RIME: A novel machine learning approach with SHAP analysis for predicting macroscopic permeability of porous media
VH Phan, HB Ly - Journal of Science and Transport Technology, 2024 - jstt.vn
Predicting the macroscopic permeability of porous media is critical in various scientific and
engineering applications. This study proposes a novel model that combines Random Forest …
engineering applications. This study proposes a novel model that combines Random Forest …
Using Simulation-Based Forecasting to Project Singapore's Future Residential Construction Demand and Impacts on Sustainability
Singapore's 2030 Green Plan aims to advance the nation's sustainable development
agenda in alignment with rising global sustainability concerns. Accordingly, construction …
agenda in alignment with rising global sustainability concerns. Accordingly, construction …