Loading...
Please wait, while we are loading the content...
Similar Documents
Life-cycle performance assessment of existing bridges based on artificial neural networks
| Content Provider | Scilit |
|---|---|
| Author | Bianchi, S. Manni, C. Biondini, F. |
| Copyright Year | 2021 |
| Description | This paper presents a methodology for life-cycle structural assessment and performance prediction of existing bridges and bridge networks based on Artificial Neural Networks (ANNs). Multilayer ANNs are trained and applied to the prediction of the overall condition state of bridges taking as input the available information about the time-variant structural performance over limited time periods. The proposed approach is applied to life-cycle assessment of a reinforced concrete arch bridge under chloride-induced corrosion, as well as to the prioritization of maintenance and repair interventions of a group of bridges included in the California National Bridge Inventory. Book Name: Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9780429279119-147&type=chapterpdf |
| Ending Page | 1088 |
| Page Count | 8 |
| Starting Page | 1081 |
| DOI | 10.1201/9780429279119-147 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-04-19 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Bridge Maintenance, Safety, Management, Life-cycle Sustainability and Innovations Building and Construction Civil Engineering Artificial Neural Networks Structural Existing Bridges Performance Assessment Based On Artificial Life Cycle |
| Content Type | Text |
| Resource Type | Chapter |
