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Analyse du Processus de Fissuration dans le Bois sous Sollicitations Mécanique et Climatique : Apports de l'Emission Acoustique

机译:机械应力和气候应力下木材的开裂过程分析:声发射的贡献

摘要

The aim of this thesis is to consider what Acoustic Emission (AE) can provide as a tool for diagnosis and assessment of wood structures and works. We applied this tool and developed methods for tracking crack propagation. If our intention is using AE for the in-situ monitoring, we have to do experiments in laboratory to validate the methods developped. Loading tests under imposed displacement were conducted on Douglas samples (DCB constant inertia) subjected to a loading in mode I, for two levels of moisture content. In tandem of the acoustic emission emission system, an image acquisition system was used to record crack propagation on the main faces of the samples.First, we showed that the cracking kinetics correlates with the acoustic energy of the recorded signals. A global analysis, with unfiltered data, provides a good indication of the evolution of the damage within a structure. Then by performing a first data processing, by taking into account the acoustic events and by using correction curves of localization and amplitude, we were able to determine the position of one (or more) peak(s) of acoustic activity. The evolution curve of the position of this (these) peak(s) of activity gives a result similar of the crack tip evolution obtained with the digital image acquisition system. By this way we were able to estimate an average restoration level of critical energy Gc.In the purpose of making in situ applications, we have implemented this method during a creep test on a specimen with variable inertia. A previously loaded sample was placed to a relative humidity variation - from a humid atmosphere to a dry atmosphere. Only spot measurements of the crack tip position has been made. AE was able to take over when visual statements were absent. AE was also able to provide additional information on the initiation and propagation of cracks over a long term monitoring.The method for detecting peaks of activities by AE shows that acoustic events with high amplitude are located on both side of the crack tip obtained by imaging.Secondly, by comparing with the methods developed in composite materials, wood could be considered as such, we were able, by joint use of statistical tools, electronic imaging (SEM) and analysis of waveforms, to identify failure mechanisms which were present during testing.After processing data obtained on failure specific mode test (tensile, bending and shear), four clusters of events have been highlighted. By studying their respective waveforms and signal caracteristics, these families have been associated with the rupture of fiber, matrix cracking, debonding and delamination such as those found in composites. The study of SEM images made from owr samples has confirmed the presence of a multitude of mechanisms on the cracking path of the wood samples. This confirms the reasonableness of results obtained.From a quantitative perspective, two major failure mechanisms stand out: the breaking of fibers and matrix cracking. The evolution of these indicators may be a precursor to the ruin of a structure.The work undertaken in this thesis is a step in the use of AE in monitoring structures and wooden structures. It suggests other purposes for the use of AE in wood. We could imaging using AE in order to study the process zones by using mTDCB samples.
机译:本文的目的是考虑声发射(AE)可以提供什么作为诊断和评估木结构和工程的工具。我们应用了该工具并开发了跟踪裂纹扩展的方法。如果我们打算使用AE进行现场监测,则必须在实验室进行实验以验证开发的方法。在道格拉斯样品(DCB恒定惯量)下,在模式I下承受两个水分含量,在施加位移的条件下进行了载荷测试。结合声发射系统,使用图像采集系统记录裂纹在样品主面上的传播。首先,我们表明裂纹动力学与记录信号的声能相关。具有未过滤数据的全局分析可以很好地指示结构内损坏的演变。然后,通过执行第一数据处理,考虑到声学事件并使用定位和幅度的校正曲线,我们能够确定一个(或多个)声学活动峰值的位置。该(这些)活性峰的位置的演变曲线给出的结果与利用数字图像采集系统获得的裂纹尖端的发展相似。通过这种方法,我们能够估算出临界能量Gc的平均恢复水平。为了进行现场应用,我们在蠕变测试中对具有可变惯性的样品进行了这种方法。将先前加载的样品置于相对湿度变化-从潮湿气氛到干燥气氛。仅对裂纹尖端位置进行了现场测量。缺少视觉陈述时,AE可以接管。 AE还能通过长期监测提供有关裂纹萌生和扩展的更多信息。AE检测活动峰的方法表明,高振幅的声波事件位于通过成像获得的裂纹尖端的两侧。其次,通过与在复合材料中开发的方法进行比较,可以认为是木材,通过联合使用统计工具,电子成像(SEM)和波形分析,我们能够确定测试过程中出现的失效机理。处理通过故障特定模式测试(拉伸,弯曲和剪切)获得的数据后,已突出显示了四类事件。通过研究它们各自的波形和信号特性,这些族与纤维的破裂,基体破裂,剥离和分层(例如复合材料中发现的)有关。对由超级样品制成的SEM图像的研究已证实,木材样品的开裂路径上存在多种机理。从定量的角度来看,两种主要的失效机理是突出的:纤维断裂和基体开裂。这些指标的演变可能是结构破坏的先兆。本文的工作是利用声发射技术监测结构和木结构的一步。它提出了在木材中使用AE的其他目的。我们可以使用AE成像,以便通过使用mTDCB样品来研究过程区域。

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    Lamy Frederic;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 fr
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