Artificial Intelligence in Civil Engineering: Latest Advances and Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 10 December 2024 | Viewed by 854
Special Issue Editor
Interests: construction budgeting and cost monitoring and control; information technologies and expert systems in construction management; cost and time prediction models
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, there are notable technological advancements and innovations that produce significant changes and transformations, providing serious prospects along with challenges, risks, and opportunities. Innovation is incorporated into various sectors such as the engineering field. This integration of new tools, techniques, methodologies, and approaches is drastically changing the traditional engineering practice, transforming both processes and procedures. Essentially, scientific breakthroughs and leaps revolutionize all project life cycles. In this Special Issue, the focus is on Artificial Intelligence (AI). The synergies of AI and civil engineering facilitate a reengineering of project management.
All project phases, from planning and construction, to operation, maintenance, and finally removal of the project, are taken into consideration. The aim is also to apply AI early within the business planning of project enterprises to achieve sustainable development and environmentally friendly projects with minimum externalities. Case studies of a plethora of project types are welcomed, including but not limited to building projects, highway/road projects, geotechnical projects, and hydraulic projects, both private and state owned.
It is interesting to highlight the established or potential synergies among AI and project management sectors such as human resource, scope, time, cost, risk, quality, integration, procurement, communication, earned value, and health and safety management.
The following topics in association with artificial intelligence could complement and elaborate on the previously mentioned areas of interest. More specifically: project cost and time, project quality, simulation, mathematical programming, digital twins, indoor environmental quality, user comfort and well-being, energy efficiency, building and project performance, intelligent design—urban planning, deep learning with satellite and aerial imagery, optimization, fuzzy decision making, health and safety, structural monitoring, image classification, artificial neural networks, decision support automation, machine learning, and last but not least blockchain technologies.
I look forward to receiving your contributions.
Dr. Georgios N. Aretoulis
Guest Editor
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Keywords
- civil engineering
- artificial intelligence
- artificial neural networks
- expert systems
- digital twins
- blockchain
- machine learning
- optimization
- decision support automation
- quality control
- road infrastructure
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