An operation phase-oriented security risk intelligent evaluation method for a bearing system
By deploying multi-type sensor networks in large infrastructure and engineering structures, data is acquired and processed synchronously, static, dynamic, and damage-sensitive features are extracted, and a load-bearing capacity degradation model is constructed. This solves the problem of early hidden damage identification and prediction, and improves the safety assessment capability during the operation phase.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING NO 4 MUNICIPAL CONSTR ENG
- Filing Date
- 2026-02-03
- Publication Date
- 2026-06-19
AI Technical Summary
Existing technologies struggle to systematically integrate static response characteristics, dynamic modal characteristics, and damage sensitivity characteristics during the operation phase of large-scale infrastructure and engineering structures. They lack dynamic understanding and early warning response strategies for the evolution of load-bearing capacity, and are unable to identify and accurately predict early hidden damage under complex stress environments.
By deploying a multi-type sensor network, structural response, environmental load, and damage characteristic data are acquired synchronously. Time synchronization, spatial registration, and data cleaning are performed to extract static, dynamic, and damage-sensitive characteristic indicators, construct a bearing capacity degradation model, generate multi-level early warning information, and adjust monitoring strategies.
It enables continuous quantitative tracking and precise identification of early hidden damage to the load-bearing system, improves the ability to perceive and respond to early degradation processes, and realizes proactive health management and safety assurance of the load-bearing structure.
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