Novel Approach for Concrete Mixture Design Using Neural Dynamics Model and Virtual Lab Concept

2017 ◽  
Vol 114 (1) ◽  
Author(s):  
Mohammad Hossein Rafiei ◽  
Waleed H. Khushefati ◽  
Ramazan Demirboga ◽  
Hojjat Adeli
Keyword(s):  
Mixture Design ◽  
Concrete Mixture ◽  
Neural Dynamics ◽  
Dynamics Model ◽  
Virtual Lab ◽  
Novel Approach

PLUG AND PLAY INNOSAT ACS SIMULATOR

2015 ◽  
Vol 76 (8) ◽  
Author(s):  
S. M. Sharun ◽  
M. Y. Mashor ◽  
Fadzilah Hashim
Keyword(s):  
Attitude Control ◽  
Operating Conditions ◽  
Matlab Simulation ◽  
Dynamics Model ◽  
Attitude Control System ◽  
Close Match ◽  
Novel Approach ◽  
Simulator Design ◽  
Hardware In Loop ◽  
Hardware In Loop Simulation

This research proposes a novel approach of satellite simulator design where the simulator will be in the form of both software and hardware. A software simulator will represent the satellite dynamics model, incorporating all the operating conditions of the satellite in orbit. The control algorithm for Attitude Control System (ACS) will be implemented on Rabbit Micro Controller (RCM4100) and the dynamics model of Innovative Satellite (InnoSAT) plant in PC have been tested using real-time hardware-in-loop-simulation (HILS) technique. The results that have been obtained show that the InnoSAT ACS simulator can produce as good result as MATLAB simulation for the InnoSAT plants. The MSE values that have been calculated also show that there are a close match between HILS and MATLAB simulation where the MSEs different value are small. From both results, it is enough to verify that the developed protocol working satisfyingly and seems to be possible to be implemented on the actual flight.

scholarly journals Development of Concrete Mixture Design Process Using MCDM Approach for Sustainable Concrete Quality Management

2020 ◽  
Vol 12 (19) ◽  
pp. 8110
Author(s):  
Mohd. Ahmed ◽  
Javed Mallick ◽  
Saeed AlQadhi ◽  
Nabil Ben Kahla
Keyword(s):  
Quality Management ◽  
Design Process ◽  
Design Procedure ◽  
Mixture Design ◽  
Design Methods ◽  
Concrete Mixture ◽  
Sustainable Concrete ◽  
Concrete Production ◽  
Concrete Mix ◽  
Concrete Quality

The development of a concrete mixture design process for high-quality concrete production with sustainable values is a complex process because of the multiple required properties at the green/hardened state of concrete and the interdependency of concrete mixture parameters. A new multicriteria decision making (MCDM) technique based on Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) methodology is applied to a fuzzy setting for the selection of concrete mix factors and concrete mixture design methods with the aim towards sustainable concrete quality management. Three objective properties for sustainable quality concrete are adopted as criteria in the proposed MCDM model. The seven most dominant concrete mixture parameters with consideration to sustainable concrete quality issues, i.e., environmental (density, durability) and socioeconomic criteria (cost, optimum mixture ingredients ratios), are proposed as sub-criteria. Three mixture design techniques that have potentiality to include sustainable aspects in their design procedure, two advanced and one conventional concrete mixture design method, are taken as alternatives in the MCDM model. The proposed selection support framework may be utilized in updating concrete design methods for sustainability and in deciding the most dominant concrete mix factors that can provide sustainable quality management in concrete production as well as in concrete construction. The concrete mix factors found to be most influential to produce sustainable concrete quality include the water/cement ratio and density. The outcomes of the proposed MCDM model of fuzzy TOPSIS are consistent with the published literature and theory. The DOE method was found to be more suitable in sustainable concrete quality management considering its applicable objective quality properties and concrete mix factors.

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