Metamodel techniques to estimate the compressive strength of UHPFRC using various mix proportions and a high range of curing temperatures
In order to predict the compressive strength (σ c) of Ultra-high performance fiber reinforced
concrete (UHPFRC), developing a reliable and precise technique based on all main …
concrete (UHPFRC), developing a reliable and precise technique based on all main …
[HTML][HTML] Clayey soil stabilization using alkali-activated volcanic ash and slag
Lime and Portland cement are the most widely used binders in soil stabilization projects.
However, due to the high carbon emission in cement production, research on soil …
However, due to the high carbon emission in cement production, research on soil …
Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete
Reinforced concrete bond strength deterioration is one of the most serious problems in the
construction industry. It is one of the most common factors impacting structural deterioration …
construction industry. It is one of the most common factors impacting structural deterioration …
Slope stability classification under seismic conditions using several tree-based intelligent techniques
Slope stability analysis allows engineers to pinpoint risky areas, study trigger mechanisms
for slope failures, and design slopes with optimal safety and reliability. Before the …
for slope failures, and design slopes with optimal safety and reliability. Before the …
Alginate-based composites for corneal regeneration: the optimization of a biomaterial to overcome its limits
For many years, corneal transplantation has been the first-choice treatment for irreversible
damage affecting the anterior part of the eye. However, the low number of cornea donors …
damage affecting the anterior part of the eye. However, the low number of cornea donors …
Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review
B Yu, B Wang, Y Zhang - Artificial Intelligence Review, 2024 - Springer
The deep integration of computer field and coal mining field is the only way to coal mine
intellectualization. A variety of artificial intelligence tools have been applied in open-pit and …
intellectualization. A variety of artificial intelligence tools have been applied in open-pit and …
Prediction of resilient modulus of ballast under cyclic loading using machine learning techniques
The resilient modulus (MR) of ballast is one of the key output parameters in any rail design
project because it controls the elastic magnitude of track deformation under cyclic loading …
project because it controls the elastic magnitude of track deformation under cyclic loading …
[PDF][PDF] Rock Strength Estimation Using Several Tree-Based ML Techniques.
The uniaxial compressive strength (UCS) of rock is an essential property of rock material in
different relevant applications, such as rock slope, tunnel construction, and foundation. It …
different relevant applications, such as rock slope, tunnel construction, and foundation. It …
The use of GA and PSO in evaluating the shear strength of steel fiber reinforced concrete beams
J Huang, M Zhou, J Zhang, J Ren, NI Vatin… - KSCE Journal of Civil …, 2022 - Springer
Shear failure in concrete specimens and beams is one of the most sensitive cases in
construction projects. Since the shear strength of specimens is affected by various …
construction projects. Since the shear strength of specimens is affected by various …
Several tree-based solutions for predicting flyrock distance due to mine blasting
Blasting operations involve some undesirable environmental issues that may cause damage
to equipment and surrounding areas. One of them, and probably the most important one, is …
to equipment and surrounding areas. One of them, and probably the most important one, is …