Aplicación de la Inteligencia Artificial en Proyectos de Ingeniería Civil

Daniel David Carvajal-Rivadeneira; Betty Geoconda Guaranda-Mero; Dunia Lisbet Domínguez-Gálvez; Julio Johnny Regalado-Jalca

Authors

Carvajal-Rivadeneira Daniel David Universidad Estatal del Sur de Manabí. Jipijapa, Ecuador. https://orcid.org/0000-0002-5288-5483
Guaranda-Mero Betty Geoconda Universidad Estatal del Sur de Manabí. Jipijapa, Ecuador. https://orcid.org/0009-0009-6570-4459
Domínguez-Gálvez Dunia Lisbet Universidad Estatal del Sur de Manabí. Jipijapa, Ecuador. https://orcid.org/0000-0001-7577-4367
Regalado-Jalca Julio Johnny Universidad Estatal del Sur de Manabí. Jipijapa, Ecuador. https://orcid.org/0000-0003-1669-8522

Keywords:

artificial intelligence, civil engineering, sustainability, optimization, project management

Abstract

DOI: https://doi.org/10.46296/ig.v7i14.0223

Artificial intelligence (AI) is transforming civil engineering by optimizing processes, reducing costs, and improving sustainability. This article aimed to evaluate the impact of AI on infrastructure projects, identifying its main applications, benefits, and barriers. The methodology included a systematic literature review, case study analysis, and simulations to compare traditional approaches with AI-based techniques. Data were collected from secondary sources and real projects, processed using statistical tools and advanced algorithms. The results show that AI enables cost reductions of 25%, waste decreases of 18%, and time savings of 40% in project execution. However, challenges such as system interoperability and data quality limit its adoption. Despite these barriers, AI demonstrates significant potential in sustainable construction and project management. The conclusions emphasize the need for ethical regulatory frameworks, professional training, and the integration of hybrid models that combine AI with traditional approaches. These measures are essential to maximize technological benefits and foster a more efficient and sustainable industry.

Keywords: artificial intelligence, civil engineering, sustainability, optimization, project management.

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