Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33166
Title: Artificial Intelligence & Machine Learning in Design and Assessment of Structures
Other Titles: Minisymposium
Authors: Markou, George 
Bakas, Nikolaos P. 
Major Field of Science: Engineering and Technology
Field Category: Computer and Information Sciences;ENGINEERING AND TECHNOLOGY;Civil Engineering
Keywords: Machine Learning;Structures
Issue Date: Jun-2023
Source: 9th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, 12-14 June 2023, Athens, Greece
Link: https://2023.compdyn.org/proceedings/
Conference: International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering 
Abstract: The use of Artificial Intelligence (AI) and Machine Learning (ML) algorithms in developing predictive models towards the design and assessment of structures is gaining significant momentum. This minisymposium aims to serve as an ideas exchange hub that will help scientists to share their current research work on AI and ML algorithms that have as a main objective the development of: 1. algorithms for automatic extraction of closed-form design formulae, 2. machine learning models for the assessment and design of structures and materials, 3. data analytics, visualization, and interpretation algorithms dealing with the mechanical behaviour of structures One of the main objectives of this minisymposium is to generate a broad discussion on how AI and ML algorithms can be utilized in assisting in establishing a safer built environment in both low and high-seismically active countries.
URI: https://hdl.handle.net/20.500.14279/33166
Rights: CC0 1.0 Universal
Type: Other
Affiliation : University of Pretoria 
National Infrastructures for Research and Technology 
Appears in Collections:Workshops / Trainings

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