Basic Studies on Fracture Toughness of Sugi and Acoustic Emission

Ohuchi, Takeshi; Hermawan, Andi; Fujimoto, Noboru

doi:10.5109/19536

Cited by 11 publications

(7 citation statements)

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“…The investigation showed that the most monitored acoustic Eeission parameters were amplitude (A), energy (E) and counts (C), which were frequently studied against time, crack length and load (even in their cumulative form) with their distribution often highlighted. Among the parameters less frequently studied there are the frequency characteristics [11,[16][17][18][19][20][21], other parameters such as the energy release rate (G) [22], the fracture toughness (K) [23,24], root mean square of the signal voltage (RMS) [25][26][27], density surface energy value (DSV) [16,23], stress (σ), strain (ε) [20,[28][29][30][31][32] and modulus of elasticity (MoE) [32,33].…”

Section: Subject Areas Of the Researchmentioning

confidence: 99%

Influencing Factors in Acoustic Emission Detection: A Literature Review Focusing on Grain Angle and High/Low Tree Ring Density of Scots Pine

et al. 2022

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Among non-destructive testing (NDT) techniques applied to structural health monitoring in existing timber structures, ranging from visual inspection to more sophisticated analysis, acoustic emission (AE) is currently seldomly used to detect mechanical stresses in wooden building assets. This paper presents the results from a systematic literature review on AE NDT applied to monitor micro and macro fracture events in softwood, specifically Scots pine. This survey particularly investigates its application with respect to the tree rings density and grain angle inspection, as influencing factors well correlated with physical and mechanical characteristics of wood. The literature review was performed in a three-step process defined by the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) flow diagram, leading to the selection of 31 documents from different abstract and citation databases (Scopus, Web of Science and Google Scholar). The outcomes have highlighted how laboratory experiments, including several types of tests (tensile, cutting, compressive, etc.), were conducted in most cases, while a very limited number of studies investigated on in situ monitoring. In addition, theoretical approaches were often explored in parallel with the experimental one. It emerges that—for tree ring density studies—a multi-technique approach, which may include microscopic observations, could be more informative. Indeed, although not widely investigated, high/low tree ring density and grain angle were found as influencing factors on the AE parameters detected by the sensors, during condition and structural health monitoring experiments.

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Section: Subject Areas Of the Researchmentioning

confidence: 99%

Influencing Factors in Acoustic Emission Detection: A Literature Review Focusing on Grain Angle and High/Low Tree Ring Density of Scots Pine

et al. 2022

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“…Critical stress intensity factor could be calculated by Equation (2). For wood, previous studies have defined f a W as shown in the following polynomial Equation ( 3) [33,[39][40][41].…”

Section: Fracture Characteristicsmentioning

confidence: 99%

“…Concerning crack systems, taking wood as a typical orthotropic material, usually, there are six types of samples used to evaluate the fracture behaviors of wood according to crack propagation directions, including RL, tangential-longitudinal (TL), radial-tangential (RT), longitudinal-tangential (LT), longitudinal-radial (LR), and tangential-radial (TR), with the first letter meaning the tension direction and the second one indicating the crack propagation direction [32] (Figure 1). Ohuchi et al [33] studied the critical stress intensity factor of these six types of CT samples with different loading speeds and obtained that LR and LT samples were incompatible for critical stress intensity factor tests, and loading speed had no effect on critical stress intensity factor. The main objective of this study was to characterize fracture behaviors of four wood species commonly used in wood products in an RL crack propagation system when subjected to compact tension load.…”

Section: Introductionmentioning

confidence: 99%

Characterizing Mode I Fracture Behaviors of Wood Using Compact Tension in Selected System Crack Propagation

Liu

2021

Forests

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The fracture behaviors of four wood species commonly used in wood products were characterized when subjected to compact tension (CT) load in radial-longitudinal (RL) system crack propagation. Meanwhile, the failure modes of evaluated CT samples were compared and analyzed using the fractal dimension method. The results showed that wood species had a significant effect on fracture characteristic values, including maximum fracture load, critical stress intensity factor and fracture energy. These characteristic values changed in the same way, i.e., beech wood CT samples obtained the maximum characteristic values, followed by ash, okoume, and poplar in descending order. The fracture behaviors of all wood species evaluated can be described by combining linear and exponential fitting equations at the crack initial stage and evolution stage, respectively. Linear positive proportional relationships were observed between fracture characteristic values and fractal dimensions calculated using cracks in front and left views of CT samples. However, the relationships between fracture characteristic values and fractal dimensions calculated using fracture surfaces were negative. The fractal dimensions of cracks in front view of CT samples could be a better indicator used to predict critical stress intensity factor and fracture energy, which had greater correlation coefficients beyond 0.95.

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“…The ability of a material containing a crack to resist crack initiation is described by its fracture toughness (Ohuchi et al, 2011). According to previous studies, the fracture toughness of wood is strongly influenced by its natural features such as density (Ashby et al, 1985;Conrad et al, 2003;Patton-Mallory and Cramer, 1987;Petterson and Bodig, 1983;Schniewind et al, 1982).…”

Section: Introductionmentioning

confidence: 99%

“…polynomial function of the specimens as shown in the following formula(Konukcu et al, 2021;Ohuchi et al, 2011;Wu et al, 2012):…”

mentioning

confidence: 99%

Yoğunluğun güney sarıçam (Pinus taeda L.) ağacının Mod I kırılma davranışı üzerine etkisi

Konukcu

2022

Turkish Journal of Forestry | Türkiye Ormancılık Dergisi

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Bu çalışma, güney sarıçam (Pinus taeda L.) odununun mod I yüklemesi altında radyal-boyuna çatlak ilerleme yönünde kırılma davranışına yoğunluğun etkisini araştırmayı amaçlamıştır. Her bir kırılma testi bloğu için çatlak ucu konumunun yoğunluğu, X-ışını yoğunluk profili analizörü kullanılarak belirlenmiştir. Her bir kırılma test bloğunun yük-deformasyon eğrisinden başlangıç eğimi, kırılma tokluğu ve özgül kırılma enerjisi olmak üzere üç kırılma parametresi elde edilmiştir. Genel olarak, sonuçlar kırılma parametrelerinin yoğunluktan güçlü bir şekilde etkilendiğini göstermiştir. Yüksek yoğunluğa sahip çatlak ucu konumları, çatlak başlangıcına karşı daha dirençli görülmüştür. Yük-deformasyon eğrisinin ilk eğimi, ahşaptaki çatlak yoğunluğu arttıkça artmıştır. Regresyon analizi sonucunda yoğunluk ile her bir kırılma parametresi arasında pozitif ve güçlü korelasyonların olduğu gözlemlenmiştir.

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Basic Studies on Fracture Toughness of Sugi and Acoustic Emission

Cited by 11 publications

References 0 publications

Influencing Factors in Acoustic Emission Detection: A Literature Review Focusing on Grain Angle and High/Low Tree Ring Density of Scots Pine

Influencing Factors in Acoustic Emission Detection: A Literature Review Focusing on Grain Angle and High/Low Tree Ring Density of Scots Pine

Characterizing Mode I Fracture Behaviors of Wood Using Compact Tension in Selected System Crack Propagation

Yoğunluğun güney sarıçam (Pinus taeda L.) ağacının Mod I kırılma davranışı üzerine etkisi

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