Integration of BrIM in Bridge Management - Enhanced Predictive Functionality
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Bibliografische Angaben
Autor(en): |
Sachidanand Joshi
(UBMS Research Group [URG], Mumbai, India)
Atharvi Thorat (UBMS Research Group [URG], Mumbai, India) Harshali Dehadray (UBMS Research Group [URG], Mumbai, India) Mayuri Tundalwar (UBMS Research Group [URG], Mumbai, India) |
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Medium: | Tagungsbeitrag | ||||
Sprache(n): | Englisch | ||||
Tagung: | IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023 | ||||
Veröffentlicht in: | IABSE Congress New Delhi 2023 | ||||
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Seite(n): | 1105-1112 | ||||
Anzahl der Seiten (im PDF): | 8 | ||||
DOI: | 10.2749/newdelhi.2023.1105 | ||||
Abstrakt: |
Bridge lnformation Model [BrlM] is being evolved as a possible solution to become the one-stop solution for bridge design to management. Research is ongoing to present a concept of integrating BrlM as the front end or back end and incorporating functionalities of the Bridge Management System [BMS]. Such integration is envisaged to maximize the utilization of the core capabilities of both BrlM and BMS. lntegration of BrlM and BMS will yield analytics essential for the prediction of deterioration models, risk analysis and prioritization and optimization of fund allocation. The use of 3D geometric models, Digital photography using photogrammetry software and Structural Health Monitoring to evaluate the performance of the bridge, have all resulted in enhanced capabilities, reliable prediction of deterioration models, and risk analysis based on a scientific approach. lntegration of BrlM with BMS has resulted in enhanced sustainability and predictive functions. |
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Stichwörter: |
Photogrammetrie
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