Construction Material Engineering

Heuristic approach to solving two-criterion problem of optimization of composite materials

Vestnik MGSU 11/2018 Volume 13
  • Afonin Victor V. - National Research Ogarev Mordovia State University (MRSU) Candidate of Technical Science, Associate Professor, Associate Professor of Department of Automated Systems of Information Processing and Management, National Research Ogarev Mordovia State University (MRSU), 68 Bolshevistskaya st., Saransk, 430005, Russian Federation.
  • Erofeeva Irina V. - Research Institute of Building Physics of the Russian Academy of Architecture and Building Sciences (NIISF RAASN) Junior Researcher, Research Institute of Building Physics, Research Institute of Building Physics of the Russian Academy of Architecture and Building Sciences (NIISF RAASN), 21 Locomotive travel, Moscow, 127238, Russian Federation.
  • Fedortsov Vladislav A. - National Research Ogarev Mordovia State University (MRSU) Postgraduate Student, National Research Ogarev Mordovia State University (MRSU), 68 Bolshevistskaya st., Saransk, 430005, Russian Federation.
  • Emelyanov Denis V. - National Research Ogarev Mordovia State University (MRSU) Candidate of Technical Science, Associate Professor, Department of Building Materials and Technologies, National Research Ogarev Mordovia State University (MRSU), 68 Bolshevistskaya st., Saransk, 430005, Russian Federation.
  • Podzhivotov Nikolay Y. - All-Russian Scientific Research Institute of Aviation Materials (VIAM) Candidate of Science (Technics), Senior Researcher, Laboratory of Strength and Reliability of Aircraft Materials, All-Russian Scientific Research Institute of Aviation Materials (VIAM), 17 Radio st., Moscow, 105055, Russian Federation.

Pages 1357-1366

Introduction. Presented the approach to optimal choice of materials, in particular, composite materials. An important task of modern materials science is the development of effective composite materials, which is associated with numerous scientific studies in this area and the search for materials with certain additives in order to obtain the necessary properties. First of all, it is an indicator of the hardness of the composite material. Materials and methods. Traditionally, different compositions are studied and property values are analyzed, and experimental results are processed in different ways. Multi-criteria optimization occupies a special place in the theory of optimization of objects, which include composite materials, in particular concrete with various additives. For this it is necessary to formulate a multicriteria optimality problem, in particular a two-criterion minimization problem. Results. Two heuristic optimization criteria are considered, according to which a vector criterion is formed, which allows to carry out the selection of composite materials from experimental data at its minimization. Vector criterion connects the change of the studied properties of the composite material with the simultaneous preference for the choice of the composition that optimizes the given criterion of optimality. The basis of the construction of the optimization scheme of choice of materials is a piecewise linear approximation of the test results, which allows to determine the scalar criteria on the basis of which the vector optimization criterion is constructed. To demonstrate two-criterion optimization, the results of experiments for cement composites exposed under the cyclic influence of negative and positive temperatures are considered. The search for the optimal composition in terms of hardness from the time of exposure. Conclusions. The proposed approach of optimal choice of materials, in particular, composite materials, can be tested on large numbers of test samples, or to automate calculations. This approach has a certain heuristic character. But its practical significance is confirmed by the expert evaluation of the quality of composite materials due to the existing methods of evaluation of materials, for example, in terms of changes in its hardness.

DOI: 10.22227/1997-0935.2018.11.1357-1366

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Reference image quality assessment of composite materials exposed to positive and negative temperatures

Vestnik MGSU 1/2019 Volume 14
  • Afonin Victor V. - National Research Ogarev Mordovia State University (MRSU) Candidate of Technical Science, Associate Professor, Associate Professor of Department of Automated Systems of Information Processing and Management, National Research Ogarev Mordovia State University (MRSU), 68 Bolshevistskaya st., Saransk, 430005, Russian Federation.
  • Erofeeva Irina V. - Research Institute of Building Physics of the Russian Academy of Architecture and Building Sciences (NIISF RAASN) Junior Researcher, Research Institute of Building Physics, Research Institute of Building Physics of the Russian Academy of Architecture and Building Sciences (NIISF RAASN), 21 Locomotive travel, Moscow, 127238, Russian Federation.
  • Zotkina Marina M. - National Research Ogarev Mordovia State University (MRSU) Candidate of Technical Science, Associate Professor, Department of Building Materials and Technologies, National Research Ogarev Mordovia State University (MRSU), 68 Bolshevistskaya st., Saransk, 430005, Russian Federation.
  • Emelyanov Denis V. - National Research Ogarev Mordovia State University (MRSU) Candidate of Technical Science, Associate Professor, Department of Building Materials and Technologies, National Research Ogarev Mordovia State University (MRSU), 68 Bolshevistskaya st., Saransk, 430005, Russian Federation.
  • Podzhivotov Nikolay Yu. - All-Russian Scientific Research Institute of Aviation Materials (VIAM) Candidate of Technical Science, Senior Researcher, Laboratory of Strength and Reliability of Aircraft Materials, All-Russian Scientific Research Institute of Aviation Materials (VIAM), 17 Radio st., Moscow, 105055, Russian Federation.

Pages 83-93

ABSTRACT Introduction. The question of a comparative assessment of the quality of images obtained as a result of scanning test composite materials exposed under the cyclic effects of positive and negative temperatures is considered. The samples are sorted relative to the reference numerical metric expressed as a percentage. Materials and methods. The compared composites differ in composition relative to the control sample. Periodic scanning of the tested composites is carried out during several control points of time. A comparative analysis of the image quality of test composites was carried out both during the entire exposure time and at the control points of time. On the basis of the existing algorithm Structural Similarity Index for measuring image quality (SSIM), percentage indicators of sample quality were determined depending on the composition and exposure time. The results obtained allow the selection of composite materials in accordance with the level of structural similarity in structural color characteristics. According to the SSIM algorithm, the resulting metric values are in the range [-1; +1]. Full structural similarity corresponds to a value equal to one. It is proposed to express the SSIM metric as a percentage with the transformation that the change in the color structural difference of the relative control sample can vary from zero to 100 %. Results. For the proposed method of comparing images of scanned samples of composite materials, ten samples of composite materials of different composition were used. Numerical results of the experiment with their graphical visualization give a clear idea of the nature of the change in color characteristics relative to the control sample. Consistent evaluation at the exposure points shows the nature of changes in the properties of materials from the duration of exposure to cyclic changes in positive and negative temperatures. Conclusions. The proposed benchmark image quality assessment based on the existing SSIM algorithm allows you to quickly investigate groups of materials, the change in properties of which is caused by their exposure in adverse operating conditions.

DOI: 10.22227/1997-0935.2019.1.83-93

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