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https://hdl.handle.net/20.500.14279/33054
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Markou, George | - |
dc.contributor.author | Bakas, Nikolaos P. | - |
dc.contributor.author | van der Westhuizen, Ashley Megan | - |
dc.date.accessioned | 2024-10-09T06:50:56Z | - |
dc.date.available | 2024-10-09T06:50:56Z | - |
dc.date.issued | 2023-01-01 | - |
dc.identifier.citation | Artificial Intelligence and Machine Learning Techniques for Civil Engineering | en_US |
dc.identifier.isbn | 9781668456439 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/33054 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.title | Use of AI and ML Algorithms in Developing Closed-Form Formulae for Structural Engineering Design | en_US |
dc.type | Book Chapter | en_US |
dc.collaboration | University of Pretoria | en_US |
dc.subject.category | Computer and Information Sciences | en_US |
dc.subject.category | ENGINEERING AND TECHNOLOGY | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.subject.category | Other Engineering and Technologies | en_US |
dc.journals | Subscription | en_US |
dc.country | Greece | en_US |
dc.country | South Africa | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.4018/978-1-6684-5643-9.ch004 | en_US |
dc.identifier.scopus | 2-s2.0-85167680572 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85167680572 | - |
cut.common.academicyear | empty | en_US |
item.openairecristype | http://purl.org/coar/resource_type/c_3248 | - |
item.grantfulltext | none | - |
item.openairetype | bookPart | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-6891-7064 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Εμφανίζεται στις συλλογές: | Κεφάλαια βιβλίων/Book chapters |
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