Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Furkan Luleci"'
Publikováno v:
Advances in Bridge Engineering, Vol 4, Iss 1, Pp 1-34 (2023)
Abstract Prestressed girders often deteriorate over time due to environmental and man-made stressors, lowering the strength and serviceability of bridge structures. Although structural repairs are implemented to improve the load carrying capacity of
Externí odkaz:
https://doaj.org/article/4039aa8fde074beeba012183815e6f95
Publikováno v:
Infrastructures, Vol 9, Iss 1, p 6 (2023)
This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point cl
Externí odkaz:
https://doaj.org/article/77d49648a23c4039af5de8f67fe2149e
Publikováno v:
Frontiers in Built Environment, Vol 8 (2022)
Structural Health Monitoring (SHM) of civil structures has been constantly evolving with novel methods, advancements in data science, and more accessible technology to address issues related to structural safety, operations, and resiliency. Research
Externí odkaz:
https://doaj.org/article/3d25a82787c74eb98fb0e14315989240
Publikováno v:
Frontiers in Built Environment, Vol 8 (2022)
Structural Health Monitoring (SHM) has been continuously benefiting from the advancements in the field of data science. Various types of Artificial Intelligence (AI) methods have been utilized to assess and evaluate civil structures. In AI, Machine L
Externí odkaz:
https://doaj.org/article/f99af0951b634a52a8c97836c2ec50bd
Autor:
Fikret Necati Catbas, Furkan Luleci, Mahta Zakaria, Ulas Bagci, Joseph J. LaViola, Carolina Cruz-Neira, Dirk Reiners
Publikováno v:
Sensors, Vol 22, Iss 23, p 9560 (2022)
Condition assessment of civil engineering structures has been an active research area due to growing concerns over the safety of aged as well as new civil structures. Utilization of emerging immersive visualization technologies such as Virtual Realit
Externí odkaz:
https://doaj.org/article/5a127342fed541ee930aa2e655c9f541
Publikováno v:
Engineering Applications of Artificial Intelligence. 122:106146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::994ec9cf57df7c9592d844e7ac6e98ab
https://doi.org/10.1016/j.engappai.2023.106146
https://doi.org/10.1016/j.engappai.2023.106146
Publikováno v:
Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 ISBN: 9783031054044
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1068bc88c9761777c2c8b817b0a47117
https://doi.org/10.1007/978-3-031-05405-1_5
https://doi.org/10.1007/978-3-031-05405-1_5
The recent advances in the data science field in the last few decades have benefitted many other fields including Structural Health Monitoring (SHM). Particularly, Artificial Intelligence (AI) such as Machine Learning (ML) and Deep Learning (DL) meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f8d7cbc73db1c944f62ab12151cc96
http://arxiv.org/abs/2202.07831
http://arxiv.org/abs/2202.07831
There has been a major advance in the field of Data Science in the last few decades, and these have been utilized for different engineering disciplines and applications. Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b5c33ce219e08f0b4bdabcd5cdadb55