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Latent crack path and service life predictions for unnotched concrete under bending by digital speckle correlation method

机译:用数字散斑相关法预测无缺口混凝土弯曲时的潜在裂纹路径和使用寿命

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The critical factor for flexural fracture of an unnotched concrete structure is the local damage with stress concentration. The latent critical crack path on the concrete surface is difficult to inspect using ordinary experimental methods. In the present paper, the digital speckle correlation method (DSCM) is employed to obtain the latent critical crack and to calculate the strain and displacement distributions on the surface of unnotched concrete under flexural load. The relationships of static flexural load versus longitudinal strain and load-direction displacement as well as fracture toughness are inherent material parameters. Furthermore, the cohesive energy density (CED) around the latent critical crack for unnotched concrete and the brittleness number are also determined by using the DSCM results. Then, the tensile performance of concrete and the residual service life are evaluated through the above material parameters. It is found that the latent crack path on the concrete surface depends on the strain fields after the bending force applied to the specimen reaches 30% of concrete flexural strength, and the cohesive stress does not rapidly increase until reaching 75% of concrete flexural strength. The service life of unnotched concrete without steel bars is dependent on the local cohesive performance around the latent crack path. Finally, the experimental results show that DSCM is useful to confirm the connection between the local damage of the material and the whole structure safety.
机译:缺口混凝土结构弯曲断裂的关键因素是应力集中引起的局部破坏。使用常规实验方法很难检查混凝土表面上的潜在临界裂纹路径。本文采用数字散斑相关法(DSCM)获得潜在的临界裂纹,并计算了弯曲荷载作用下无缺口混凝土表面的应变和位移分布。静态挠曲载荷与纵向应变,载荷方向位移以及断裂韧性之间的关系是固有的材料参数。此外,还通过使用DSCM结果确定了无缺口混凝土在潜在临界裂纹周围的内聚能密度(CED)和脆性值。然后,通过上述材料参数评估混凝土的拉伸性能和剩余使用寿命。发现在混凝土表面施加的弯曲力达到混凝土抗弯强度的30%之后,混凝土表面上的潜在裂纹路径取决于应变场,而内聚应力直到达到混凝土抗弯强度的75%时才迅速增加。不带钢筋的无缺口混凝土的使用寿命取决于潜在裂缝路径周围的局部粘结性能。最后,实验结果表明,DSCM可用于确认材料的局部损伤与整个结构安全性之间的联系。

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