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 …
Predictive models for concrete properties using machine learning and deep learning approaches: A review
Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …
Its global production rate is increasing to meet demand. Mechanical properties of concrete …
Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of …
Fly ash is a by-product almost found in coal power plants; it is available worldwide.
According to the hazardous impacts of cement on the environment, fly ash is known to be a …
According to the hazardous impacts of cement on the environment, fly ash is known to be a …
[HTML][HTML] A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations …
Abstract Machine learning (ML) techniques are often employed for the accurate prediction of
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …
[HTML][HTML] Compressive strength of geopolymer concrete modified with nano-silica: Experimental and modeling investigations
Since nanotechnology can enhance the performance of materials, significant effort has been
expended in recent years to incorporate nanoparticles (NPs) into geopolymer concrete …
expended in recent years to incorporate nanoparticles (NPs) into geopolymer concrete …
RETRACTED: Fresh and mechanical performances of recycled plastic aggregate geopolymer concrete modified with Nano-silica: Experimental and computational …
HU Ahmed, AS Mohammed, AA Mohammed - 2023 - Elsevier
Following receipt of a reader complaint, it was established that this paper [https://doi.
org/10.1016/j. conbuildmat. 2023.132266] and another submitted to the Journal of Building …
org/10.1016/j. conbuildmat. 2023.132266] and another submitted to the Journal of Building …
Machine learning prediction of mechanical properties of concrete: Critical review
Accurate prediction of the mechanical properties of concrete has been a concern since
these properties are often required by design codes. The emergence of new concrete …
these properties are often required by design codes. The emergence of new concrete …
Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete
Geopolymer concrete is an eco-efficient and environmentally friendly construction material.
Various ashes were used as the binder in geopolymer concrete, such as fly ash, ground …
Various ashes were used as the binder in geopolymer concrete, such as fly ash, ground …
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …
putting severe pressure on the construction industry as one of the largest producers of …
Compressive strength of geopolymer concrete composites: a systematic comprehensive review, analysis and modeling
The desire to make the concrete industry more environmentally friendly has existed for a
long time. Geopolymer concrete, which uses industrial or agricultural by-product ashes as …
long time. Geopolymer concrete, which uses industrial or agricultural by-product ashes as …