Application of Artificial Intelligence to Model the Behavior of Infrastructure
A special issue of Infrastructures (ISSN 2412-3811). This special issue belongs to the section "Smart Infrastructures".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 4399
Special Issue Editors
Interests: artificial intelligence; supplementary cementitious materials; concrete durability; multifunctional materials; additive manufacturing; sustainability; microstructure; advanced characterization techniques
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; metaheuristic optimization algorithms; multicriteria decision making; new construction materials; sustainability; high-performance concrete; waste materials
Interests: structural optimization; computational mechanics; multidisciplinary optimization
Interests: structural health monitoring; smart civil infrastructure systems; deployment of advanced sensors; energy harvesting; civil engineering system informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Infrastructures including structures, pavements, bridge, dams, etc. are usually exposed to various environmental and loading conditions during their service life. Understanding the behavior of these elements is of utmost importance for their properly design and effective conduct of maintenance practices. Conventional methods to model the behavior of infrastructures rely on time-consuming and expensive techniques, which may also require highly trained personnel. Artificial intelligence (AI)-based techniques have been widely applied in many engineering fields due to their capabilities in computation and knowledge processing. AI-based techniques, including machine learning (ML) and deep learning (DL), are effective empirical approaches for both classification (supervised and unsupervised) and/or regression of nonlinear systems. Moreover, there are a wide range of metaheuristic optimization algorithms that can be used in the field of infrastructures. These novel techniques can be used for optimizing the design, maintenance, rehabilitation, and strengthening strategies of infrastructures.
This Special Issue focuses on the latest research findings in the area of the applications of AI to model the behavior of infrastructures. Various original and novel research topics will be considered, including but not limited to:
- Leveraging AI to automatically process the data obtained through destructive experiments and non-destructive evaluation;
- Application of AI for health monitoring of infrastructures;
- The use of AI-based techniques for maintenance and rehabilitation purposes;
- Applications of AI to monitor the performance of infrastructures;
- Hybrid models to develop solutions for multiobjective problems of infrastructures;
- Serving AI-based methods for the inspection of infrastructures;
- Employing metaheuristic optimization algorithms for optimizing the design, maintenance, rehabilitation, and strengthening strategies of infrastructures;
- The use of BIM and AI-based methods for the design, maintenance, rehabilitation, and strengthening of infrastructures.
Dr. Ali Behnood
Dr. Emadaldin Mohammadi Golafshani
Dr. Siamak Talatahari
Dr. Amir H. Alavi
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Infrastructures is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- Infrastructures
- Artificial intelligence
- Machine learning
- Deep learning
- Hybrid models
- Artificial neural network
- Symbolic regression
- Evolutionary methods
- Metaheuristic optimization algorithm
- Multiobjective optimization
- Classification algorithms
- BIM
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