Automation and Process Control of High Performance Concrete Production by using Visual Interactive Analysis Method
Minh-Hong Nguyen1, Hoang-Minh Dang2

1Minh-Hong Nguyen*, PhD, Lecturer at Le Quy Don Technical University, 236 Hoang Quoc Viet Str., Hanoi, Vietnam.
2Hoang-Minh Dang, PhD, Lecturer at Industrial University of Ho Chi Minh City, 12 Nguyen Van Bao, W. 4, D. Go Vap, Ho Chi Minh City, Vietnam
Manuscript received on March 15, 2020. | Revised Manuscript received on March 26, 2020. | Manuscript published on April 10, 2020. | PP: 2088-2100 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4350049620/2020©BEIESP | DOI: 10.35940/ijitee.F4350.049620
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Abstract: High performance concrete (HPC) has been used widely for many applications such as high-rise building, highway bridges, tunnels, ect. Although up to the present time there are many recommendations and guidelines issued from research institution on the method how to achieve HPC mix proportion, around the world engineers often spent a lot of time to do preliminary experimental tests in order to select the optimal mix especially when dealing with tailored-made HPC. This paper presents an innovative visual interactive analysis method (VIAM) with the application of parameter space investigation, which helps engineer efficiently in automation and process control of proportioning HPC mix. Component content of tailored-made HPC is considered as a solution of a mathematical model with six objective functions controlling by ten constraints and seven parameters. Indeed, VIAM has played an important role in successfully determining 18 Pareto optimal solutions of this complex model for three particular scenarios set by engineers. 
Keywords: Automation and Process Control, High Performance Concrete, Mix Proportion, Multi-Objective Optimization, Visual Interactive Analysis Method, VIAM.
Scope of the Article: Smart Learning Methods and Environments