Cross-grain fracture characterization in softwood using artificial neural network analysis of acoustic emissions

Belalpour Dastjerdi, Parinaz; Landis, Eric N.

doi:10.1007/s00226-023-01494-2

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…One of these was carried out by Reiterer Reiterer et al (2000) who concluded that softwoods are more ductile and therefore "produce" more acoustic events when microcracks are occurring. Recent work by Belalpour Dastjerdi and Landis (2023) show that with AE cell wall tearing, cell wall peeling, and fiber bridging were observed and based AE energy they could be distinguished. Not so many studies were made for adhesively bonded wood joints and AE.…”

Section: Introductionmentioning

confidence: 99%

11th Hardwood Conference Proceedings

2024

Hardwood Conference Proceedings

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Black locust (Robinia pseudoacacia L.) is the most widespread non-native tree species in Europe and has had a significant impact on the Central European landscape and forestry. The black locust has many exceptional characteristics that represent considerable potential for use by man. The climate shift in recent decades in Central Europe could further strengthen the importance of this tree species. However, there are also risks arising from the invasiveness of the black locust. Like Hungary, Czechia has had many years of experience with this tree species. Still, the current approach between these two countries, particularly in conventional forestry, differs. This paper attempts to summarise how the management of Robinia and its stands is viewed in Czechia, where the common forestry utilization of black locust is currently not considered due to its invasiveness. The reason for a more reserved forestry attitude in Czechia can be associated with the relatively frequent stem deformities of Robinia stands, which are often attributed to frost. However, the frost deformities and low stem-form quality of some Robinia stands do not affect their vigour and potential to invade adjacent habitats. It often takes considerable effort to remove black locust, especially where the spreading of Robinia threatens valuable adjacent ecosystems. On the other hand, there is great potential for the use of Robinia in Czechia. It can be found in controlled energy crops, fast-growing plantations (lignicultures), some land reclamation projects or urban greenery. Robinia can also be grown in small stands or in groups of trees surrounded by arable land that does not allow the tree to spontaneously spread. Regarding the production plantations of Robinia, the Hungarian experience and breeding program can be very inspiring for Czechia. Generally, there is a move towards 'site-specific management', but with a strong emphasis on the precautionary principle. Finding and then consistently applying a balanced approach to black locust management that not only allows for the potential but also respects the risks of Robiniait is currently a key challenge for Czech forestry, landscape and nature conservation.

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Section: Introductionmentioning

confidence: 99%

11th Hardwood Conference Proceedings

2024

Hardwood Conference Proceedings

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Analysis of critical states based on acoustic emission signals during progressive failure of wood

Jia,

LI,

Zhang

et al. 2024

PLoS ONE

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The analysis of critical states during fracture of wood materials is crucial for wood building safety monitoring, wood processing, etc. In this paper, beech and camphor pine are selected as the research objects, and the acoustic emission signals during the fracture process of the specimens are analyzed by three-point bending load experiments. On the one hand, the critical state interval of a complex acoustic emission signal system is determined by selecting characteristic parameters in the natural time domain. On the other hand, an improved method of b_value analysis in the natural time domain is proposed based on the characteristics of the acoustic emission signal. The K-value, which represents the beginning of the critical state of a complex acoustic emission signal system, is further defined by the improved method of b_value in the natural time domain. For beech, the analysis of critical state time based on characteristic parameters can predict the “collapse” time 8.01 s in advance, while for camphor pines, 3.74 s in advance. K-value can be analyzed at least 3 s in advance of the system “crash” time for beech and 4 s in advance of the system “crash” time for camphor pine. The results show that compared with traditional time-domain acoustic emission signal analysis, natural time-domain acoustic emission signal analysis can discover more available feature information to characterize the state of the signal. Both the characteristic parameters and Natural_Time_b_value analysis in the natural time domain can effectively characterize the time when the complex acoustic emission signal system enters the critical state. Critical state analysis can provide new ideas for wood health monitoring and complex signal processing, etc.

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Cross-grain fracture characterization in softwood using artificial neural network analysis of acoustic emissions

Cited by 2 publications

References 22 publications

11th Hardwood Conference Proceedings

11th Hardwood Conference Proceedings

Analysis of critical states based on acoustic emission signals during progressive failure of wood

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