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1.中国兵器工业试验测试研究院,陕西 华阴 714200
2.北京理工大学 爆炸科学与安全防护全国重点实验室, 北京 100081
3.中国兵器科学研究院,北京 100089
4.辽沈工业集团有限公司,辽宁 沈阳 110045
Received:31 October 2025,
Published:31 August 2026
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许迎亮,刘彦,孙浩等.近炸钢筋混凝土梁局部破坏特征尺寸预测模型[J].兵工学报,2026,47(08):250979.
XU Yingliang,LIU Yan,SUN Hao,et al.A Predictive Model for Local Damage Characteristic Dimensions of Reinforced Concrete Beams Subjected to Close-in Explosion[J].ACTA ARMAMENTARII,2026,47(08):250979.
许迎亮,刘彦,孙浩等.近炸钢筋混凝土梁局部破坏特征尺寸预测模型[J].兵工学报,2026,47(08):250979. DOI: 10.12382/bgxb.2025.0979.
XU Yingliang,LIU Yan,SUN Hao,et al.A Predictive Model for Local Damage Characteristic Dimensions of Reinforced Concrete Beams Subjected to Close-in Explosion[J].ACTA ARMAMENTARII,2026,47(08):250979. DOI: 10.12382/bgxb.2025.0979.
针对现有研究对近距离爆炸下钢筋混凝土梁局部毁伤特征缺乏系统定量预测的问题,对Karagozian & Case混凝土本构模型进行了参数校准与验证,并修正了拉伸软化特性及局部特征宽度的影响,使其能够更准确地反映混凝土损伤演化规律。建立了钢筋混凝土梁近炸响应有限元模型,并通过与已有近炸毁伤试验结果对比,验证了其在表征典型局部破坏特征上的有效性。进一步地,系统分析了装药长径比、配筋率及截面尺寸等关键因素对钢筋混凝土梁局部毁伤模式及特征尺寸的影响规律,揭示了不同参数对背部震塌长度、侧面剥落长度以及压碎长度和深度的控制机制。最后,基于数值模拟结果回归拟合得到了考虑装药条件、配筋参数和截面尺寸的局部破坏特征尺寸预测公式,并引入修正系数以提高对背部震塌破坏的预测精度。研究结果表明,所提出的模型能够较为准确地预测近炸作用下钢筋混凝土梁的典型局部破坏尺寸,为结构抗爆设计与安全评估提供了有益参考。
To address the lack of systematic quantitative prediction of local damage characteristics of reinforced concrete (RC) beams under close-in explosion, the Karagozian & Case concrete model is calibrated and validated. The tensile softening behavior and the influence of local characteristic length are modified, enabling the model to more accurately capture the damage evolution of concrete under blast loading. A finite element model of RC beams subjected to close-in explosion is established and validated against existing experimental results, demonstrating its effectiveness in reproducing the typical local failure modes as well as structural responses such as displacement and support reaction. Furthermore, the effects of charge aspect ratio, reinforcement ratio, and cross-sectional dimensions on the local damage patterns and characteristic dimensions of the reinforced concrete beams are systematically analyzed, revealing the governing mechanisms of these parameters on peeling-off length, spalling length, as well as crushing length and depth. On this basis, a predictive model for local damage characteristic dimensions is developed through the regression analysis of numerical results, and a correction factor is introduced to improve the prediction accuracy of spalling length. The findings indicate that the proposed model can accurately predict the local damage dimensions of RC beams subjected to close-in explosions, providing useful references for blast-resistant design and structural safety assessment.
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