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[HTML][HTML] Research on synergistic erosion by cavitation and sediment: A review
J Sun, X Ge, Y Zhou, D Liu, J Liu, G Li… - Ultrasonics Sonochemistry, 2023 - Elsevier
Sediment erosion frequently occurs in areas with high incidences of cavitation. The
collaborative impact of abrasion and cavitation presents a host of challenges, threats, and …
collaborative impact of abrasion and cavitation presents a host of challenges, threats, and …
Compressive strength prediction of lightweight concrete: Machine learning models
A Kumar, HC Arora, NR Kapoor, MA Mohammed… - Sustainability, 2022 - mdpi.com
Concrete is the most commonly used construction material. The physical properties of
concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre …
concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre …
Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm
Nowadays, strengthening of reinforced concrete structures with a new class of sustainable
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …
Machine Learning‐Based CO2 Prediction for Office Room: A Pilot Study
Air pollution is increasing profusely in Indian cities as well as throughout the world, and it
poses a major threat to climate as well as the health of all living things. Air pollution is the …
poses a major threat to climate as well as the health of all living things. Air pollution is the …
Prognosis of compressive strength of fly‐ash‐based geopolymer‐modified sustainable concrete with ML algorithms
Sustainable concrete is the demand of the present era to reduce carbon emissions. Fly‐ash‐
based geopolymer (FLAG) concrete has been used in the construction industry for more …
based geopolymer (FLAG) concrete has been used in the construction industry for more …
Transmission probability of SARS-CoV-2 in office environment using artificial neural network
In this paper, curve-fitting and an artificial neural network (ANN) model were developed to
predict R-Event. Expected number of new infections that arise in any event occurring over a …
predict R-Event. Expected number of new infections that arise in any event occurring over a …
Ensemble learning based compressive strength prediction of concrete structures through real-time non-destructive testing
This study conducts an extensive comparative analysis of computational intelligence
approaches aimed at predicting the compressive strength (CS) of concrete, utilizing two non …
approaches aimed at predicting the compressive strength (CS) of concrete, utilizing two non …
Assessing the impact of hydropower projects in Brazil through data envelopment analysis and machine learning
M Bortoluzzi, M Furlan, JF dos Reis Neto - Renewable Energy, 2022 - Elsevier
The aim of this study was to assess the environmental impact of hydroelectric power
generation projects and classify them according to their scale of environmental impact. To …
generation projects and classify them according to their scale of environmental impact. To …
Practical applicable model for estimating the carbonation depth in fly-ash based concrete structures by utilizing adaptive neuro-fuzzy inference system
A Kumar, HC Arora, NR Kapoor… - Computers and …, 2023 - koreascience.kr
Concrete carbonation is a prevalent phenomenon that leads to steel reinforcement corrosion
in reinforced concrete (RC) structures, thereby decreasing their service life as well as …
in reinforced concrete (RC) structures, thereby decreasing their service life as well as …
Event-specific transmission forecasting of SARS-CoV-2 in a mixed-mode ventilated office room using an ANN
The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to
study the transmission probability in mixed-mode ventilated office environments. Artificial …
study the transmission probability in mixed-mode ventilated office environments. Artificial …