Volume 1
A Comparison of Artificial Intelligence and Soft Computing Applications in Structural Engineering
Authors
Ali Sadeghpour
Abstract
As structural engineering projects grow increasingly complex, the demand for sophisticated computational tools has surged. Artificial Intelligence (AI) and soft computing methods, including genetic algorithms, fuzzy logic, and artificial neural networks, offer powerful ways to address challenges in design, analysis, optimization, and maintenance. Both AI and soft computing approaches have their strengths and weaknesses, and understanding these can help engineers determine the best tools for different tasks. This paper provides a detailed comparison of AI and soft computing in structural engineering, focusing on their applications, advantages, limitations, and potential for future integration. The discussion is based on recent studies and explores how hybrid models that combine both methods can offer more comprehensive solutions to complex engineering problems.
Keyword: Structural Engineering, Artificial Intelligence, Soft Computing.
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