Machine learning has been widely used in several civil engineering applications, and has become an efficient tool to solve complex engineering problems. Thanks to the rapid increase of data availability, as well as increasing computational capacities and simplified programming methods, machine learning tools are being progressively applied in the fields of civil engineering. Machine learning methods provide a fast and powerful tool for breaking down complex phenomena into simple mathematical operations. This Research Topic will provide a space for the innovative applications of machine learning in civil engineering including developing prediction models, optimization problems, data analysis, and investigating the behaviour of different systems.
The aim of this research topic is the enormous potential applications of machine learning in several civil engineering fields and problems. The scope of the research is diverse and it includes the application of machine learning in various civil engineering fields including but not limited to structural engineering, environmental engineering, engineering project management, construction management, hydrology, hydraulic engineering, geotechnical engineering, coastal and ocean engineering, and transportation and traffic engineering. Besides, review articles including applications of civil engineering using branches of artificial intelligence techniques (ANN, fuzzy system, expert system, and swarm intelligence) are welcome in the collection. The special issue aims to become a knowledge hub to capture and archive significant progress of AI-related civil engineering and is dedicated to advance the frontiers of AI-enabled knowledge discovery and technological innovation in the field of civil engineering.
The scope of the journal includes the basic research and engineering applications of advanced AI technologies, such as machine learning, deep learning, computer vision, natural language processing, enhanced display, and big data, blockchain, cloud computing and Internet of things, in all different domains of civil engineering. This Research Topic seeks papers in areas relating to the application of machine learning in any field related to civil engineering including but not limited to:
• Prediction of the response of structural elements and systems;
• Structural reliability and structural health monitoring and damage detection;
• Prediction of the mechanical properties of civil engineering construction materials;
• Application of stochastic models and machine learning for modelling and predicting hydrological and climatological processes;
• Decision support for intelligent transportation systems;
• Applications of modelling to traffic analysis, control, and optimization smart city logistics;
• Traffic control and monitoring;
• Public transportation management.
Machine learning has been widely used in several civil engineering applications, and has become an efficient tool to solve complex engineering problems. Thanks to the rapid increase of data availability, as well as increasing computational capacities and simplified programming methods, machine learning tools are being progressively applied in the fields of civil engineering. Machine learning methods provide a fast and powerful tool for breaking down complex phenomena into simple mathematical operations. This Research Topic will provide a space for the innovative applications of machine learning in civil engineering including developing prediction models, optimization problems, data analysis, and investigating the behaviour of different systems.
The aim of this research topic is the enormous potential applications of machine learning in several civil engineering fields and problems. The scope of the research is diverse and it includes the application of machine learning in various civil engineering fields including but not limited to structural engineering, environmental engineering, engineering project management, construction management, hydrology, hydraulic engineering, geotechnical engineering, coastal and ocean engineering, and transportation and traffic engineering. Besides, review articles including applications of civil engineering using branches of artificial intelligence techniques (ANN, fuzzy system, expert system, and swarm intelligence) are welcome in the collection. The special issue aims to become a knowledge hub to capture and archive significant progress of AI-related civil engineering and is dedicated to advance the frontiers of AI-enabled knowledge discovery and technological innovation in the field of civil engineering.
The scope of the journal includes the basic research and engineering applications of advanced AI technologies, such as machine learning, deep learning, computer vision, natural language processing, enhanced display, and big data, blockchain, cloud computing and Internet of things, in all different domains of civil engineering. This Research Topic seeks papers in areas relating to the application of machine learning in any field related to civil engineering including but not limited to:
• Prediction of the response of structural elements and systems;
• Structural reliability and structural health monitoring and damage detection;
• Prediction of the mechanical properties of civil engineering construction materials;
• Application of stochastic models and machine learning for modelling and predicting hydrological and climatological processes;
• Decision support for intelligent transportation systems;
• Applications of modelling to traffic analysis, control, and optimization smart city logistics;
• Traffic control and monitoring;
• Public transportation management.
