Input keywords, title, abstract, author, affiliation etc..
Journal Article An open access journal
Journal Article

Revolutionizing Construction with Intelligent Solutions

by Jessica Rodriguez
1
University of Cyprus
*
Author to whom correspondence should be addressed.
JEIT  2023 5(3):217; https://doi.org/10.xxxx/xxxxxx
Received: 22 September 2023 / Accepted: 30 September 2023 / Published Online: 30 September 2023

Abstract

This paper explores the revolutionization of construction through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is transforming various aspects of the construction industry, including design optimization, project management, and safety enhancement. The study highlights the application of AI techniques such as generative design, construction scheduling, and risk prediction in improving efficiency, cost-effectiveness, and sustainability in construction projects. Additionally, it discusses the integration of AI with Building Information Modeling (BIM), drones, and Internet of Things (IoT) devices to enable real-time monitoring, quality control, and resource allocation on construction sites. The paper also addresses challenges such as data interoperability, regulatory compliance, and workforce adaptation in the adoption of AI-driven engineering solutions in construction. It emphasizes the importance of collaboration, innovation, and continuous learning in harnessing AI's potential to build smarter, safer, and more resilient infrastructure for the future.


Copyright: © 2023 by Rodriguez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Rodriguez, J. Revolutionizing Construction with Intelligent Solutions. Journal of Engineering Innovations & Technology, 2023, 5, 217. doi:10.xxxx/xxxxxx
AMA Style
Rodriguez J. Revolutionizing Construction with Intelligent Solutions. Journal of Engineering Innovations & Technology; 2023, 5(3):217. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Rodriguez, Jessica 2023. "Revolutionizing Construction with Intelligent Solutions" Journal of Engineering Innovations & Technology 5, no.3:217. doi:10.xxxx/xxxxxx

Article Metrics

Article Access Statistics

References

  1. Bilos, A., Fiorini, L., Pinto, M., & Naticchia, B. (2018). Predictive analytics for proactive safety management in construction. Safety Science, 107, 211-224.
  2. Kamat, V. R., & Martinez, J. C. (2019). Artificial intelligence in construction management: A review. Automation in Construction, 98, 88-103.
  3. Lee, J. H., & Kwon, H. J. (2018). Building information modeling (BIM)-based safety management system for tower crane operations. Safety Science, 105, 80-89.
  4. Meng, X., & Li, H. (2017). Safety risk prediction method for highway construction project based on BP neural network. Journal of Intelligent Manufacturing, 28(1), 59-71.
  5. Mhamdi, M., Karmacharya, A., Grest, D., & Kim, K. (2019). A review of applications of artificial intelligence and machine learning in smart construction. Journal of Management in Engineering, 36(1), 04019043.
  6. Saleh, M. A., & Li, H. (2018). Applications of artificial intelligence in construction management: A comprehensive review. Journal of Computing in Civil Engineering, 32(6), 04018032.
  7. Shariat, S., Marzouk, M., Rezazadeh, A., & Hosseini, M. R. (2019). A comprehensive review of artificial intelligence applications in construction dispute resolution. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 11(2), 04519008.