Year: 2024
Type: article
Abstract: Artificial intelligence (AI) is transforming the structural design paradigm in civil engineering. This article critically analyzes its applications, demonstrating that methods such as machine learning, neural networks, and genetic algorithms enable design optimization by overcoming the limitations of traditional approaches. AI tools facilitate the exploration of thousands of alternatives, multi-objective optimization (balancing cost, safety, and sustainability), and the automation of routine tasks, resulting in significant gains in efficiency, accuracy, and innovation. However, widespread adoption faces challenges such as dependence on quality data, model interpretability (“black box”), and the need for regulatory and professional adaptation. It is concluded that AI does not replace, but rather enhances, the work of engineers. The synergy between human judgment and these tools will be key to developing more efficient, resilient, and sustainable structures in the future, marking a turning point in the practice of structural engineering.
Source: Superintelligence Series
Author: Ramírez Mendoza, Julio Alberto
Institution: Polytechnic José Antonio Echeverría
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7216398367