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Structural Systems Powered by AI and Machine Learning Technologies
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Author(s): Sabyasachi Pramanik (Haldia Institute of Technology, India)
Copyright: 2024
Pages: 23
Source title:
The Ethical Frontier of AI and Data Analysis
Source Author(s)/Editor(s): Rajeev Kumar (Moradabad Institute of Technology, India), Ankush Joshi (COER University, Roorkee, India), Hari Om Sharan (Rama University, Kanpur, India), Sheng-Lung Peng (College of Innovative Design and Management, National Taipei University of Business, Taiwan)and Chetan R. Dudhagara (Anand Agricultural University, India)
DOI: 10.4018/979-8-3693-2964-1.ch017
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Abstract
This chapter investigates the use of artificial intelligence (AI) and machine learning (ML) technologies in structural engineering, with an emphasis on their applications in automating design processes, optimizing structural configurations, and evaluating performance measures. It demonstrates the effectiveness of AI-powered algorithms in creating design alternatives, anticipating structural behavior, and improving sustainability. The chapter also includes a framework for comparing the performance of various structural designs, taking into account safety, cost-effectiveness, and environmental impact. It provides case studies and practical examples that show how AI/ML-driven autonomous design may achieve greater structural performance while using fewer resources. The chapter stresses the potential of AI and ML to revolutionize structural engineering by allowing engineers to design more sustainable and high-performing buildings, so contributing to a more ecologically aware and economically viable built environment.
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