Machine learning for structural engineering: A state-of-the-art review
HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …
intelligence (AI). It provides a unique opportunity to make structural engineering more …
A review on material mix proportion and strength influence parameters of geopolymer concrete: Application of ANN model for GPC strength prediction
Concrete is a combination of cement, sand, aggregate, and water. Cement manufacturing
causes the generation of various gases, mainly greenhouse gases like CO 2 in the …
causes the generation of various gases, mainly greenhouse gases like CO 2 in the …
Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method
Geopolymer concrete (GPC) could be used as an environmental-friendly alternative solution
for concrete production due to the detrimental impacts of cement production on the …
for concrete production due to the detrimental impacts of cement production on the …
Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
One of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the
ability to anticipate their flexural response. With a comprehensive grid search, several …
ability to anticipate their flexural response. With a comprehensive grid search, several …
Bond strength prediction of concrete-encased steel structures using hybrid machine learning method
The mechanical behavior of concrete-encased steel (CES) structures is crucially linked to
the bond strength between steel section and concrete which should be predicted with ease …
the bond strength between steel section and concrete which should be predicted with ease …
Modelling the interface bond strength of corroded reinforced concrete using hybrid machine learning algorithms
T Huang, T Liu, Y Ai, Z Ren, J Ou, Y Li, N Xu - Journal of Building …, 2023 - Elsevier
The mechanical properties of corroded reinforced concrete are intricately associated with
bond strength between corroded reinforcement and concrete. This strength must be …
bond strength between corroded reinforcement and concrete. This strength must be …
[HTML][HTML] Predictive performance assessment of recycled coarse aggregate concrete using artificial intelligence: a review
Recycled coarse aggregate concrete enables the creation of environmentally friendly and
cost-effective mixes. It helps address the disposal problem of demolition concrete waste …
cost-effective mixes. It helps address the disposal problem of demolition concrete waste …
Machine-learning-aided improvement of mechanics-based code-conforming shear capacity equation for RC elements with stirrups
The development of shear capacity equations for reinforced concrete (RC) beams and
columns has been historically pursued starting from the conceptualization of a resisting …
columns has been historically pursued starting from the conceptualization of a resisting …
Artificial neural network and regressed beam-column connection explicit mathematical moment-rotation expressions
ABH Kueh - Journal of Building Engineering, 2021 - Elsevier
Steel flush endplate beam-column connections behavior is commonly described by the
moment-rotation, M-φ, relationship, which is characterized by two essential terms; resistant …
moment-rotation, M-φ, relationship, which is characterized by two essential terms; resistant …
Assessment of ann algorithms for the concentration prediction of indoor air pollutants in child daycare centers
As the time spent by people indoors continues to significantly increase, much attention has
been paid to indoor air quality. While many IAQ studies have been conducted through field …
been paid to indoor air quality. While many IAQ studies have been conducted through field …