Enhancement in Indian Bridge Management System using analytics within BIM data model
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Détails bibliographiques
| Auteur(s): |
Sachidanand Joshi
(IDDC Engineers Pvt. Ltd., Mumbai, India)
Sitarama Raju Sagi (IDDC Engineers Pvt. Ltd., Mumbai, India) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022 | ||||
| Publié dans: | IABSE Symposium Prague 2022 | ||||
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| Page(s): | 903-910 | ||||
| Nombre total de pages (du PDF): | 8 | ||||
| DOI: | 10.2749/prague.2022.0903 | ||||
| Abstrait: |
Indian Bridge Management System and its enhanced version Unified Bridge Management System (UBMS) like all BMS rely on successive visual observations to define status ratings of bridge components which are used for remedial interventions and critical management decisions. These systems are devoid of location details of distress and are reactive in regard to deterioration and risk models as they rely on such changes in ratings for interventions. Incorporating photogrammetric geospatial 3D drawing/model will bring critical hereto missing data to enhance effectiveness and efficiency of IBMS/UBMS. This paper is aimed to present a concept for adding geospatial details to IBMS/UBMS. This incorporation enables the usage of AI and machine learning for improved decision making and reporting. Analysis provides a predictive tool to estimate future distress and the progression of deterioration process and the impact it can have on the future performance. Inclusion of SHM data will also be possible. |
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| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | Cette oeuvre ne peut être utilisée sans la permission de l'auteur ou détenteur des droits. |
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