Strain analysis of wood components by close range photogrammetry

Franke, Steffen; Franke, Bettina; Rautenstrauch, Karl

doi:10.1617/s11527-006-9152-6

Cited by 18 publications

(14 citation statements)

References 6 publications

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“…In addition to the high accuracy, the close-range photogrammetry offers a possibility of non-contact measurements, a possibility to monitor a wide network of points without any additional cost and applicability in a wide range of engineering situations. Multi-and single-camera close-range photogrammetry systems were applied to measurement of static (Franke et al 2006;Jiang et al 2008;Lee and Al-Mahaidi 2008;Ye et al 2011) and dynamic deflections (Qi et al 2014) of various civil engineering structures, capturing vibration (Ryall and Fraser 2002) and buckling (Bambach 2009) modes, assessment of thermal deformations (Fraser and Riedel 2000) and automatic fracture monitoring (Valença et al 2012). It is also used in laboratory experiments for displacement and strain measurements (Shufrin et al 2016).…”

Section: Close-range Photogrammetrymentioning

confidence: 99%

Computational monitoring in real time: review of methods and applications

Dyskin

Başarır

Doherty

et al. 2018

Geomech. Geophys. Geo-energ. Geo-resour.

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Continuous monitoring of mechanical parameters determining the state of natural and manmade systems is essential in a wide range of engineering disciplines from mechanical to civil and geotechnical engineering. To be effective, the monitoring response time needs to be commensurate with the characteristic time of variation of the processes being monitored e.g. from seconds as for example in some machinery, to weeks and months for mining excavations and years in the case of structures. The methods of measurement can therefore differ significantly for different applications. In spite of this, the methods of information processing-the computational monitoring-have considerable commonality. This review focuses on the methods of computational monitoring in solid and structural mechanics problems in different engineering applications. The traditional methods of monitoring are reviewed along with the corresponding computational and measurement methods. The basic principles of the computational monitoring in real time are established.

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Section: Close-range Photogrammetrymentioning

confidence: 99%

Computational monitoring in real time: review of methods and applications

Dyskin

Başarır

Doherty

et al. 2018

Geomech. Geophys. Geo-energ. Geo-resour.

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“…Previous experience of its use on timber include Choi et al (1991) who analysed video taken of painted wood/paper samples under load with a microscope. Franke et al (2007) used timber coated with white wax film, with the addition of specific measurement points, although this does not provide as clear a picture of timber fibre behaviour as observing the actual timber surface. Thus both Franke et al (2007) and Choi et al (1991) applied a film coating and monitored specific target points; however, this does not exploit the whole benefit of full-field photogrammetry.…”

Section: Introductionmentioning

confidence: 99%

“…Franke et al (2007) used timber coated with white wax film, with the addition of specific measurement points, although this does not provide as clear a picture of timber fibre behaviour as observing the actual timber surface. Thus both Franke et al (2007) and Choi et al (1991) applied a film coating and monitored specific target points; however, this does not exploit the whole benefit of full-field photogrammetry. Godara et al (2009) used digital image correlation (DIC) to observe structural integrity of a composite material reinforced by natural wood fibres.…”

Section: Introductionmentioning

confidence: 99%

Visualization of Fresh Cut Timber Deformation by Photogrammetry

Walkden

Bloodworth

2017

J. Eng. Mech.

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Understanding the mechanical behaviour of fresh cut timber, in which the natural moisture content has been retained, has application in predicting the behaviour of living tree elements such as branch/stem joints, potentially inspiring structural designs through biomimicry. This project develops a process of strain imaging using particle image velocimetry to analyse behaviour of timber samples freshly cut from oak tree joints and tested in tension. The timber surface was not coated so the fibre response could be visualised directly. Load was applied in steps, and different methods for comparing images trialled, including a sequential method in which strain is accumulated progressively from image to image, and a first-to-last comparison. Sample flexibility caused significant deformation in the camera field of view, and so the analysis methodology was modified so that each image was compared sequentially with the first with the target area in the image for strain calculation expanded as the test proceeded.This resulted in strain contour plots able to show the impending failure of the component as the tension is applied.

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“…Some recent research in this direction can be found in Macareno et al where photogrammetry was used as a measuring tool in the analysis of the behaviour of a variable geometry structure [13]. Franke et al demonstrated how photogrammetry shows a clear increase in the significance of strain distributions compared with conventional methods [14]. Arias et al presented an approach to structural analysis based on photogrammetric models [15], and finally Schueremans and Van Genechten obtained the geometrical safety factor by limit analysis based on a terrestrial laser scanner (TLS) geometry survey of masonry vaults [16].…”

Section: Introductionmentioning

confidence: 99%