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State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles
The use of nano-materials to improve the engineering properties of different types of
concrete composites including geopolymer concrete (GPC) has recently gained popularity …
concrete composites including geopolymer concrete (GPC) has recently gained popularity …
A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
Compressive strength of concrete is one of the most determinant parameters in the design of
engineering structures. This parameter is generally determined by conducting several tests …
engineering structures. This parameter is generally determined by conducting several tests …
A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques
Shear connectors play a prominent role in the design of steel-concrete composite systems.
The behavior of shear connectors is generally determined through conducting push-out …
The behavior of shear connectors is generally determined through conducting push-out …
A novel Harris hawks' optimization and k-fold cross-validation predicting slope stability
H Moayedi, A Osouli, H Nguyen… - Engineering with …, 2021 - Springer
Stability of the soil slopes is one of the most challenging issues in civil engineering projects.
Due to the complexity and non-linearity of this threat, utilizing simple predictive models does …
Due to the complexity and non-linearity of this threat, utilizing simple predictive models does …
[HTML][HTML] Mathematical modeling techniques to predict the compressive strength of high-strength concrete incorporated metakaolin with multiple mix proportions
Many environmental and health problems are raised from cement manufacturing processes
and other factories because those factories emit large amounts of carbon dioxide (CO 2) into …
and other factories because those factories emit large amounts of carbon dioxide (CO 2) into …
Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic …
It is crucial to assess the characteristics of pervious concrete even post-construction. The
quality monitoring of such a procedure is tricky in pervious concrete that it is typically …
quality monitoring of such a procedure is tricky in pervious concrete that it is typically …
Systematic multiscale models to predict the compressive strength of self-compacting concretes modified with nanosilica at different curing ages
The evolution of nanotechnology brings materials with novel performance and during last
year's much attempt has been established to include nanoparticles especially nano-silica …
year's much attempt has been established to include nanoparticles especially nano-silica …
Soft computing techniques to predict the compressive strength of green self-compacting concrete incorporating recycled plastic aggregates and industrial waste ashes
Rapid urbanization and industrialization with corresponding economic growth have
increased concrete production, leading to resource depletion and environmental pollution …
increased concrete production, leading to resource depletion and environmental pollution …
A machine learning-based formulation for predicting shear capacity of squat flanged RC walls
The squat flanged reinforced concrete (RC) walls have been widely utilized in nuclear
power plant and building structures. Nevertheless, the empirical equations in current design …
power plant and building structures. Nevertheless, the empirical equations in current design …