A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
CC BY
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| Tác giả chính: | , |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10479-023-05247-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8452 |
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oai:localhost:PNK-84522023-05-12T04:29:28Z A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making Carlos, Galera-Zarco Goulielmos, Floros quicker decision making critical events CC BY Increasing levels of urbanisation and the rapid growth of modern cities require that particular attention be paid to ensuring the safety and protection of living conditions for their inhabitants. In this context, natural and human-induced disasters pose a major threat to the safety and normal operational procedures of buildings and infrastructures. In consequence, disaster management and built assets operations demand modern tools to be effectively prepared in order to better respond to such critical events. This study explores the potential of artificial intelligence in these operational fields by developing a deep learning model that is able to provide a rapid assessment of an asset’s structural condition in the case of a seismic excitation. The proposed simulation model makes an accurate prediction of the damage status of individual elements in a built asset, thus leading to operational improvements across all disaster management phases. 2023-05-12T04:29:28Z 2023-05-12T04:29:28Z 2023 Book https://link.springer.com/article/10.1007/s10479-023-05247-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8452 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
quicker decision making critical events |
| spellingShingle |
quicker decision making critical events Carlos, Galera-Zarco Goulielmos, Floros A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making |
| description |
CC BY |
| format |
Book |
| author |
Carlos, Galera-Zarco Goulielmos, Floros |
| author_facet |
Carlos, Galera-Zarco Goulielmos, Floros |
| author_sort |
Carlos, Galera-Zarco |
| title |
A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making |
| title_short |
A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making |
| title_full |
A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making |
| title_fullStr |
A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making |
| title_full_unstemmed |
A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making |
| title_sort |
deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s10479-023-05247-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8452 |
| _version_ |
1772331155121504256 |
| score |
8.891145 |