Computational Modeling Techniques in Sustainable Materials, Systems and Structures

Dear Colleagues,

Recent efforts and guidelines aiming to lower the environmental impact and footprint of materials, systems, and structures have led the scientific community to the development of eco-friendly materials. However, despite the importance of eco-friendly materials, they have not as yet been studied to the extent necessary for their wide application, in contrast to typical widely-used materials. This highlights a demand for the use and development of advanced computational techniques, aiming to reveal the nature and behavior of developed eco-friendly materials, thus facilitating their use in an effort towards achieving sustainability.

Metaheuristic and computing methods techniques are poised to transform the way in which humans interact with machines, as well as the role machines will play in all spheres of human life. On the one hand, there is the exhilaration and excitement of the immense potential of these technologies to enhance and enrich human life, and on the other hand, there is fear and apprehension of a dystopian future in which machines have taken over.

These methods comprise a category of computer science which is involved in the research, design, and application of intelligent computers. Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and computing-based solutions can often provide valuable alternatives for efficiently solving problems in engineering. Such methods, focusing on nonlinear and complex relationships between dependent and independent variables, can be performed in the field of engineering with a high degree of accuracy. In this way, many new intelligence models can be introduced for different applications of engineering.

The focus of this Special Issue is the development of computational methods for solving problems in the fields of sustainable materials, systems, and structures. Furthermore, please see below a list of potential keywords about the proposed journal.

Prof. Dr. Panagiotis G. Asteris
Dr. Hai-Bang Ly
Guest Editors

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