Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/33054| Τίτλος: | Use of AI and ML Algorithms in Developing Closed-Form Formulae for Structural Engineering Design | Συγγραφείς: | Markou, George Bakas, Nikolaos P. van der Westhuizen, Ashley Megan |
Major Field of Science: | Engineering and Technology | Field Category: | Computer and Information Sciences;ENGINEERING AND TECHNOLOGY;Civil Engineering;Other Engineering and Technologies | Ημερομηνία Έκδοσης: | 1-Ιαν-2023 | Πηγή: | Artificial Intelligence and Machine Learning Techniques for Civil Engineering | Περίληψη: | The design and analysis of structures is performed with the use of national and international design codes that usually suggest the use of semi-empirical formulae. Often the formulae are oversimplified, in some cases are not available to engineers, or are time-consuming and challenging to implement. The objective of this chapter is to demonstrate the use of artificial intelligence and machine learning to develop more accurate formulae for different types of applications related to structural design. The applications that are discussed in this work include predicting the shear capacity of reinforced concrete slender and deep beams without stirrups, calculating the fundamental period of reinforced concrete and steel structures, and predicting the deflection of horizontally curved steel I-beams. | URI: | https://hdl.handle.net/20.500.14279/33054 | ISBN: | 9781668456439 | DOI: | 10.4018/978-1-6684-5643-9.ch004 | Type: | Book Chapter | Affiliation: | University of Pretoria | Publication Type: | Peer Reviewed |
| Εμφανίζεται στις συλλογές: | Κεφάλαια βιβλίων/Book chapters |
CORE Recommender
Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα