NORM waste, cements, and concretes. A review
F Puertas, JA Suárez-Navarro, M Alonso López… - 2021 - digital.csic.es
The use of industrial waste and/or by-products as alternative sources of raw materials in
building materials has become standard practice. The result, more sustainable construction …
building materials has become standard practice. The result, more sustainable construction …
An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction
I Ahmadianfar, S Shirvani-Hosseini, J He… - Scientific Reports, 2022 - nature.com
Precise prediction of water quality parameters plays a significant role in making an early
alert of water pollution and making better decisions for the management of water resources …
alert of water pollution and making better decisions for the management of water resources …
A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand
Ensemble learning (EL) has gained popularity in recent investigations because of its higher
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete
AT Amlashi, SM Abdollahi, S Goodarzi… - Journal of Cleaner …, 2019 - Elsevier
Utilizing bentonite in composites such as concrete mixture is one of the practical approaches
for adsorption of heavy metals. The mixture of bentonite and normal concrete is known as …
for adsorption of heavy metals. The mixture of bentonite and normal concrete is known as …
Application of the improved POA-RF model in predicting the strength and energy absorption property of a novel aseismic rubber-concrete material
The application of aseismic materials in foundation engineering structures is an inevitable
trend and research hotspot of earthquake resistance, especially in tunnel engineering. In …
trend and research hotspot of earthquake resistance, especially in tunnel engineering. In …
Prediction of chloride diffusion in cement mortar using multi-gene genetic programming and multivariate adaptive regression splines
Chloride-induced damage of coastal concrete structure leads to serious structural
deterioration. Thus, chloride content in concrete is a crucial parameter for determining the …
deterioration. Thus, chloride content in concrete is a crucial parameter for determining the …
Uncertainty quantification of ultimate compressive strength of CCFST columns using hybrid machine learning model
MST Nguyen, MC Trinh, SE Kim - Engineering with Computers, 2022 - Springer
This study aims to estimate the value and quantify the uncertainty of the compressive
strength of circular concrete-filled steel tube (CCFST) columns under eccentric loading using …
strength of circular concrete-filled steel tube (CCFST) columns under eccentric loading using …
Enhancing concrete performance with waste rubber: an artificial neural network approach for mix ratio optimization and predictive analysis
M Shariati, M Habibi, E Toghroli… - International Journal of …, 2024 - ceai.reapress.com
Due to its enhanced mechanical qualities and environmental sustainability, waste rubber in
concrete materials has attracted more attention. In this investigation, a numerical model was …
concrete materials has attracted more attention. In this investigation, a numerical model was …
[PDF][PDF] Prediction of ultimate load capacity of concrete-filled steel tube columns using multivariate adaptive regression splines (MARS)
C Avci-Karatas - Steel Compos. Struct, 2019 - researchgate.net
In the areas highly exposed to earthquakes, concrete-filled steel tube columns (CFSTCs) are
known to provide superior structural aspects such as (i) high strength for good seismic …
known to provide superior structural aspects such as (i) high strength for good seismic …
Applying Kernel principal component analysis for enhanced multivariable regression modeling of rubberized concrete properties
Nowadays, intensive investigations on the potential of rubberized concrete as a structural
material are available in the literature due to its promising characteristic in terms of …
material are available in the literature due to its promising characteristic in terms of …