[HTML][HTML] Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete
The use of fly ash in cementitious composites has gained popularity. However, assessing
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …
Simulation of depth of wear of eco-friendly concrete using machine learning based computational approaches
To avoid time-consuming, costly, and laborious experimental tests that require skilled
personnel, an effort has been made to formulate the depth of wear of fly-ash concrete using …
personnel, an effort has been made to formulate the depth of wear of fly-ash concrete using …
Machine learning approach for predicting the effect of statistical variability in Si junctionless nanowire transistors
H Carrillo-Nuñez, N Dimitrova… - IEEE Electron …, 2019 - ieeexplore.ieee.org
This letter investigates the possibility to replace numerical TCAD device simulations with a
multi-layer neural network (NN). We explore if it is possible to train the NN with the required …
multi-layer neural network (NN). We explore if it is possible to train the NN with the required …
[HTML][HTML] Studying the abrasion damage of concrete for hydraulic structures under various flow conditions
Q Liu, L Li, LV Andersen, M Wu - Cement and Concrete Composites, 2023 - Elsevier
Concrete abrasion is a durability problem especially for hydraulic structures, which is
caused by physical damage mainly due to hard abrasive particles and water impacting …
caused by physical damage mainly due to hard abrasive particles and water impacting …
A self-learning dynamic path planning method for evacuation in large public buildings based on neural networks
Y Peng, SW Li, ZZ Hu - Neurocomputing, 2019 - Elsevier
Evacuation path planning is of significant importance to safely and efficiently evacuate
occupants inside public buildings. Current computer simulation methods carry out …
occupants inside public buildings. Current computer simulation methods carry out …
[HTML][HTML] Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms
There has been increasing growth in incorporating fly ash as a supplementary cementitious
material in concrete mixtures due to its potential to enhance the durability and strength …
material in concrete mixtures due to its potential to enhance the durability and strength …
Combined effects of fly ash and waste ferrochromium on properties of concrete
Cement and water-to-binder ratio were kept constant as 400kg/m3 and 0.40, respectively.
Cement was replaced with fly ash at the ratio of 10, 20 and 30wt.%. Coarse limestone …
Cement was replaced with fly ash at the ratio of 10, 20 and 30wt.%. Coarse limestone …
[HTML][HTML] Abrasion damage of concrete for hydraulic structures and mitigation measures: A comprehensive review
Abrasion damage of concrete induced by sediment-laden flow has been a significant
durability problem for hydraulic structures. Due to the complexity of dynamic fields and …
durability problem for hydraulic structures. Due to the complexity of dynamic fields and …
Using an artificial neural network to predict mix compositions of steel fiber-reinforced concrete
An artificial neural network (ANN) has a wide application field for mathematical problems.
Specifically, an ANN is successfully applied to problems that are difficult to solve or do not …
Specifically, an ANN is successfully applied to problems that are difficult to solve or do not …
Low temperature cracking performance of WMA with the use of the Superpave indirect tensile test
Low temperature cracking of wax modified bitumen and asphalt mixtures were studied using
the Dynamic Shear Rheometer (DSR), Bending Beam Rheometer (BBR), Superpave IDT …
the Dynamic Shear Rheometer (DSR), Bending Beam Rheometer (BBR), Superpave IDT …