Design of sustainable ultra-high performance concrete: A review

X Wang, D Wu, J Zhang, R Yu, D Hou, Z Shui - Construction and Building …, 2021 - Elsevier
Sustainable ultra-high performance concrete (UHPC) design is the process of varying the
type and quantity of individual constituents (including energy-reduced constituent such as …

Design of experiment on concrete mechanical properties prediction: a critical review

BW Chong, R Othman, R Putra Jaya, MR Mohd Hasan… - Materials, 2021 - mdpi.com
Concrete mix design and the determination of concrete performance are not merely
engineering studies, but also mathematical and statistical endeavors. The study of concrete …

[HTML][HTML] Comparison of artificial neural network (ANN) and response surface methodology (RSM) in predicting the compressive and splitting tensile strength of …

S Ray, M Haque, T Ahmed, TT Nahin - Journal of king saud university …, 2023 - Elsevier
Amidst a world of never-ending waste production and waste disposal crises, scientists have
been working their ways to come up with solutions to serve the earth better. Two such …

Waste tires steel fiber in concrete: A review

TF Awolusi, OL Oke, OD Atoyebi… - Innovative Infrastructure …, 2021 - Springer
The emergence of waste tire steel fiber (WTSF) which is an undervalued resource was
borne out of the need to extract the useful materials in waste tires considering the sheer …

[HTML][HTML] Comparative investigation of RSM and ANN for multi-response modeling and optimization studies of derived chitosan from Archachatina marginata shell

VE Bello, OA Olafadehan - Alexandria Engineering Journal, 2021 - Elsevier
The design of this paper was to investigate comparatively the optimization techniques of
response surface methodology (RSM) and artificial neural network (ANN) when applied to …

Optimization of starch extraction from Amorphophallus paeoniifolius corms using response surface methodology (RSM) and artificial neural network (ANN) for …

B Karmakar, SP Saha, R Chakraborty, S Roy - International Journal of …, 2023 - Elsevier
The development of the extraction process for improving the starch yield from
unconventional plants is emerging as a topic of interest. In this respect, the present work …

[PDF][PDF] Review on artificial neural network and its application in the field of engineering

AK Paul, A Prasad, A Kumar - J. Mech. Eng. Prakash, 2022 - researchgate.net
The engineers have been utilising artificial neural networks (ANNs), one of the most effective
and adaptable tools offered by artificial intelligence, for many years in a variety of …

Analysis and estimation of cross-flow heat exchanger fouling in phosphoric acid concentration plant using response surface methodology (RSM) and artificial neural …

R Jradi, C Marvillet, MR Jeday - Scientific Reports, 2022 - nature.com
The production of phosphoric acid by dehydrated process leads to the precipitation of
unwanted insoluble salts promoting thus the crystallization fouling build-up on heat transfer …

[HTML][HTML] Optimization of properties of concrete prepared with waste glass aggregate and condensed milk can fiber using response surface methodology

T Ahmed, S Ray, M Haque, TT Nahin, AF Mita - Cleaner Engineering and …, 2022 - Elsevier
Natural sand layer depletion, as a result of rapid urbanization in the modern world, has
urged researchers to find a substitution of fine aggregate in concrete. While, owing to …

Optimizing high-speed rotating shaft vibration control: Experimental investigation of squeeze film dampers and a comparative analysis using Artificial Neural Networks …

RK Gupta, RC Singh - Expert Systems with Applications, 2024 - Elsevier
This research paper presents a comprehensive experimental and statistical approach for the
analysis of vibration amplitudes in a high-speed rotating shaft employing a squeeze film …