[HTML][HTML] Abrasion damage of concrete for hydraulic structures and mitigation measures: A comprehensive review

Q Liu, LV Andersen, M Zhang, M Wu - Construction and Building Materials, 2024‏ - Elsevier
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 …

[HTML][HTML] Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete

M Khan, AU Khan, M Houda, C El Hachem… - Results in …, 2023‏ - Elsevier
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 …

[HTML][HTML] Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms

A Khan, M Khan, M Ali, M Khan, AU Khan… - Case Studies in …, 2024‏ - Elsevier
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 …

Simulation of depth of wear of eco-friendly concrete using machine learning based computational approaches

MA Khan, F Farooq, MF Javed, A Zafar, KA Ostrowski… - Materials, 2021‏ - mdpi.com
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 …

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 …

[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 …

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 …

Combined effects of fly ash and waste ferrochromium on properties of concrete

O Gencel, F Koksal, C Ozel, W Brostow - Construction and Building …, 2012‏ - Elsevier
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 …

[HTML][HTML] Prediction of concrete abrasion depth and computational design optimization of concrete mixtures

Q Liu, LV Andersen, M Wu - Cement and Concrete Composites, 2024‏ - Elsevier
The failure of concrete for hydraulic structures due to the excessive abrasion depth has
caused great economic losses. Despite the tremendous work that has been done, the …

Using an artificial neural network to predict mix compositions of steel fiber-reinforced concrete

M Açikgenç, M Ulaş, KE Alyamaç - Arabian Journal for Science and …, 2015‏ - Springer
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 …