Heuristic Optimization Rules Applied for the Sustainable Design of Lightweight Engineering Structures Under Loads Subject to Random Changes

In engineering design, optimization is crucial for achieving sustainable goals. This involves creating environmentally responsible structures. Optimizing the design is the first step in reducing the environmental impact of construction. Topology optimization (TO) is one way to do this. TO is the pro...

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Bibliographic Details
Published inSustainability Vol. 17; no. 15; p. 7011
Main Authors Tajs-Zielińska, Katarzyna, Bochenek, Bogdan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2025
Subjects
Algorithms
Carbon footprint
Civil engineering
Construction industry
Emission standards
Emissions
Energy consumption
Environmental impact
Greenhouse gases
Heuristic
Load
Mathematical programming
Optimization techniques
Product development
Product life cycle
Sustainability
Sustainable design
Trends
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Summary:In engineering design, optimization is crucial for achieving sustainable goals. This involves creating environmentally responsible structures. Optimizing the design is the first step in reducing the environmental impact of construction. Topology optimization (TO) is one way to do this. TO is the process of designing the material layout in the design domain according to selected criteria. The criteria can be explicitly defined to promote sustainability. As a result, a new structure topology is proposed to make the structure both lightweight and durable, with the aim of improving its functionality and reducing its environmental impact. In optimal engineering design, it is particularly important to take into account the structure’s special operating conditions, e.g., loads subject to random changes. Predicting topologies under such conditions is important since random load changes can significantly affect the resulting topologies. In this paper, an easy to implement numerical method for this kind of problem is proposed. The basic idea is to transform a random loads case into the deterministic problem of multiple loads. A heuristic method of Cellular Automata is proposed as a numerical optimization tool. The examples of topology optimization have been performed to illustrate the concept, confirming the efficiency, versatility, and ease of its implementation.
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ISSN:2071-1050
2071-1050
DOI:10.3390/su17157011