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Prediction of global bending stiffness of timber beams by local sampling data and visual inspection

机译:通过局部采样数据和目测检查预测木梁的整体弯曲刚度

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摘要

The results of visual inspection according to UNI 11119:2004 and bending tests made on 20 old chestnut (Castanea sativa Mill.) beams according to EN 408:2010 were statistically analyzed in order to provide a consistent and feasible procedure to predict their modulus of elasticity (MOE) in bending. Local data obtained from smaller size specimens was used for the prediction of the global mechanical properties of full structural size members and compared with the results of mechanical tests. The prediction models took into account the visual strength classes and the influence of defects on the determination of the MOE. Moreover, random sampling was considered in order to demonstrate the possibility of using smaller representative samples, thus avoiding excessive need of removal of on-site samples and allowing for a smaller number of mechanical tests. The models using random sampling predicted the behavior of full size scale elements accurately, with strong correlations to the experimental results (coefficient of determination r~2 ranging from 0.70 to 0.79) and a percentage error lower than 20 %, thus allowing a reliable estimation of mechanical characteristics of existing timber members with a combination of visual inspection and local sampling.
机译:统计分析根据UNI 11119:2004进行的目视检查结果以及根据EN 408:2010对20个旧栗木(Castanea sativa Mill。)梁进行的弯曲试验,以提供一致且可行的程序来预测其弹性模量(MOE)弯曲。从较小尺寸的样本获得的本地数据用于预测完整结构尺寸构件的整体力学性能,并与力学测试结果进行比较。预测模型考虑了视觉强度等级以及缺陷对MOE确定的影响。此外,为了证明使用较小的代表性样品的可能性,考虑了随机采样,从而避免了去除现场样品的过多需求,并减少了机械测试的次数。使用随机抽样的模型可以准确预测全尺寸比例元素的行为,与实验结果具有很强的相关性(确定系数r〜2在0.70至0.79之间),百分比误差低于20%,因此可以可靠地估算现有木材构件的机械特性,并结合目视检查和本地采样。

著录项

  • 来源
    《Holz als Roh- und Werkstoff》 |2014年第4期|453-461|共9页
  • 作者单位

    Department of Civil Engineering, ISISE, University of Minho, Azurem, 4800-058 Guimaraes, Portugal;

    Department of Civil Engineering, ISISE, University of Minho, Azurem, 4800-058 Guimaraes, Portugal;

    Department of Civil Engineering, ISISE, University of Minho, Azurem, 4800-058 Guimaraes, Portugal;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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