一种钢筋混凝土梁抗弯承载力退化预测与优化方法及系统
By constructing a time-varying model and optimization scheme, taking into account steel corrosion, bond degradation and concrete aging, the problem of low accuracy in predicting flexural bearing capacity in existing technologies is solved. This enables accurate prediction and optimization of reinforced concrete beams in complex environments, and is suitable for buildings with long-term use.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA POWER CONSTR GRP ARCHITECTURAL PLANNING & DESIGN INST CO LTD
- Filing Date
- 2025-08-26
- Publication Date
- 2026-07-17
AI Technical Summary
Current predictions of the flexural capacity of reinforced concrete beams neglect the effects of time degradation and environmental factors, resulting in low prediction accuracy and an inability to scientifically and accurately demonstrate the optimization effect. This is especially problematic in buildings with complex stress and damp environments where safety is compromised.
A time-varying model of flexural bearing capacity was constructed, taking into account steel corrosion, bond degradation and concrete aging. Through Monte Carlo simulation and optimization scheme, combined with carbonation model, steel corrosion model and bond slip degradation model, the flexural bearing capacity degradation of reinforced concrete beams was predicted, and optimization measures such as increasing the protective layer thickness, applying epoxy coating and silane impregnation treatment were proposed.
It improves the accuracy of flexural capacity prediction, can accurately simulate the time-varying degradation of beams by materials and environment, provides quantitative basis, supports design and maintenance decisions, and is applicable to complex environmental buildings on a century-scale.
Smart Images
Figure CN121031096B_ABST