Abstract
Although computational methods have historically been utilized by architecture companies, they are now becoming more and more common in popular constructions for automated process Digital Twin (DT) design, as-built assessment, and parametric simulation techniques. This study shows how workflow might well be utilized to converge on optimum and heuristic approaches to difficult issues and how optimization algorithms have the potential to help smart technology in assembly. In this study, two kinds were studied. The first involves a computational technique that has been applied to a difficult geometric problem in the manufacture of structural sheathing panels. The following illustration shows a computational process consisting of methods to automate the extraction and processing of Building Information Model (BIM) information for the output path shows significance. Learning from these examples shows how computer simulation should be effective for complex and repeated process development. Here, it must be demonstrated that computational techniques can effectively search for large-choice regions and detect costly development errors from the outset.
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This article is part of the topical collection “Research Trends in Computational Intelligence” guest edited by Anshul Verma, Pradeepika Verma, Vivek Kumar Singh and S. Karthikeyan.
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Vijayalakshmi, N., Roopa, Y.M., Ashreetha, B. et al. Development of Digital Twin with External Data Resources in Manufacturing with Complex Algorithms. SN COMPUT. SCI. 4, 611 (2023). https://doi.org/10.1007/s42979-023-02035-1
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DOI: https://doi.org/10.1007/s42979-023-02035-1