轴压配筋混凝土砌块砌体结构时变可靠度分析
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云南农业大学

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TU364??????????????????????????

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云南省教育厅科学研究(2025J0379);云南省基础研究农业联合专项(202301BD70001—104)


Time-dependent reliability analysis of reinforced concrete block masonry under axial compression
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Yunnan Agricultural University

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    摘要:

    砌体结构的长期可靠度受材料性能时变退化的显著影响,传统静态可靠度分析方法难以准确评估其性能演化。针对砌体结构在长期服役过程中性能退化的问题,以轴心受压配筋混凝土砌块砌体结构为研究对象,采用概率密度演化方法(PDEM)结合数论选点法和TVD有限差分法开展效数值求解,结合敏感度分析方法系统分析了不同等效保护层厚度和钢筋直径对结构可靠度时变规律的影响。研究结果表明,在钢筋直径恒定工况下,增加等效保护层厚度(24.7-34.7mm)可显著延缓钢筋开始锈蚀的时间,从而推迟结构可靠度下降的起始时刻;等效保护层厚度恒定工况下,增大钢筋直径(Φ12-Φ18)则通过提升初始承载力与增大钢筋截面冗余,进而有效减缓可靠度的时变退化速率,确保其全寿命周期内可靠指标不低于目标要求。综合分析表明,增大钢筋直径在提升结构全寿命周期可靠度方面的综合效益优于增加等效保护层厚度。通过与100万次蒙特卡洛(MCS)模拟结果的对比,验证了本文方法的准确性与高效性。

    Abstract:

    The time-dependent reliability of material properties significantly affects the long-term reliability of masonry, limiting the accuracy of traditional static reliability analysis methods in evaluating performance evolution. This study investigated axially compressed reinforced concrete block masonry to address long-term service degradation. The Probability Density Evolution Method (PDEM), combined with the number-theoretic point selection method and Total Variation Diminishing (TVD) finite difference scheme, enabled efficient numerical solutions. Sensitivity analysis systematically examined how equivalent cover depth and reinforcement diameter affect time-dependent reliability. Results indicated that increasing the equivalent cover depth from 24.7 mm to 34.7 mm with constant reinforcement diameter significantly delayed corrosion initiation, thus postponing reliability decline. With constant cover depth, increasing reinforcement diameter from 12 mm to 18 mm effectively slowed reliability degradation by enhancing initial load capacity and providing greater sectional redundancy, maintaining the reliability index above the target threshold. Comprehensive analysis demonstrates that increasing reinforcement diameter offers superior life-cycle reliability benefits compared to increasing cover thickness. Comparison with 1,000,000 Monte Carlo Simulations (MCS) validated the method's accuracy and efficiency.

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  • 收稿日期:2025-11-22
  • 最后修改日期:2025-12-15
  • 录用日期:2026-02-26
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