Stress wave evaluation for predicting the properties of thermally modified wood using neuro-fuzzy and neural network modeling

Nasir, Vahid; Nourian, Sepideh; Avramidis, Stavros; Cool, Julie

doi:10.1515/hf-2018-0289

Cited by 44 publications

(25 citation statements)

References 43 publications

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“…1,2 These methods are costly and time-consuming and cannot be used for in situ nondestructive characterization of the elastic properties of wood. The near-infrared (NIR) spectroscopy [3][4][5] and the ultrasonic and stress wave propagation methods [6][7][8][9][10][11] are the main nondestructive evaluation methods used in prior research studies for the characterization of the modulus of elasticity (MOE) of wood. The main characterization approach of the wave-based methods is to estimate the MOE from the dynamic MOE obtained from the measured ultrasonic wave velocity.…”

Section: Introductionmentioning

confidence: 99%

Mechanical degradation of wood under ultraviolet radiation characterized by Lamb wave propagation

Fathi

Kazemirad

Nasir

2021

Struct Control Health Monit

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Nondestructive characterization of wood exposed to ultraviolet (UV) radiation is a critical task for health monitoring purposes since photodegradation affects the mechanical properties of materials. The main purpose of this study was to assess the effect of UV radiation on the elastic and viscoelastic properties of fir, poplar, oak, and alder wood using the Lamb wave propagation method. The Lamb wave propagation and mechanical three-point bending tests were performed on the wood specimens exposed to UV radiation for different time periods. The modulus of elasticity (MOE) and the viscoelastic properties of the specimens including the storage and loss moduli and the loss factor were estimated using the experimentally measured wave characteristics. The difference between the MOE estimated from the Lamb wave propagation and three-point bending tests was less than 4%, proving the capability of the Lamb wave propagation method for accurate nondestructive and in situ assessment of wood. It was revealed that the UV radiation led to a decrease in the MOE and storage modulus of wood specimens and an increase in their loss factor, resulting in lower stiffness and higher viscoelasticity of wood. It was also shown that the sensitivity of the loss factor to UV radiation was higher than that of the MOE and storage modulus, emphasizing the importance of the viscoelasticity assessment of wood products under photodegradation, weathering, and extreme radiation.

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Section: Introductionmentioning

confidence: 99%

Mechanical degradation of wood under ultraviolet radiation characterized by Lamb wave propagation

Fathi

Kazemirad

Nasir

2021

Struct Control Health Monit

Self Cite

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“…The principle of the method proposed by Skaar using acoustic emission is to estimate the stress change by sensing and measuring the size and frequency of the wave caused by the internal stress of wood drying [26]. Nasir uses accelerometers and acoustic emission sensors to detect the stress wave of wood to explore the physical and mechanical properties of thermally modified wood and the influence of wave speed and acoustic emission signals [92]. Cheng used a strain gauge sensor to study the relationship between stress and treatment temperature, MC and relative humidity during high-temperature steam drying of Cryptomeria fortune [93].…”

Section: Modern Testing Methodsmentioning

confidence: 99%

Drying Stress and Strain of Wood: A Review

Yin

Liu

2021

Applied Sciences

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Wood drying stress causes various drying defects, which result from the wood microstructure and the transfer of heat and mass during the drying. It is the fundamental way to solve the problem of defects to clarify the law and mechanism of wood stress and strain development during drying. In this paper, based on the defects of wood drying, the theory and experimental testing methods of drying stress and strain were summarized. Meanwhile, artificial neural networks (ANN) and their application in the wood drying field were also investigated. The traditional prong and slicing methods were used practically in the research and industry of wood drying, but the stress changes in-process cannot be trapped. The technologies of image analysis and near-infrared spectroscopy provide a new opportunity for the detection of drying stress and strain. Hence, future interest should be attached to the combination of the theory of heat and mass transfer and their coupling during drying with the theory of microscopic cell wall mechanics and macroscopic drying. A more complete image acquisition and analysis system should be developed to realize the real-time monitoring of drying strain and cracking, practically. A more feasible and reasonable prediction model of wood drying stress and strain should be established to achieve the accuracy of the prediction.

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“…As shown in Figure 2, the 835 task points in Annex 1 can be divided into 3 clusters according to latitude and longitude. Each cluster represents a task area point in a different range of latitude and longitude [39,40]. E-commerce companies can realize information exchange faster and more conveniently and provide transaction parties with more detailed resource information as much as possible, which greatly shortens the time for transaction decision-making, improves the success rate of transactions, and also plays a significant role in the resources of the whole society.…”

Section: E Establishment Of Cluster Analysis Modelmentioning

confidence: 99%

E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing

Liu

Bao

2021

Mobile Information Systems

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In recent years, the rapid development of information technology has affected the way the world economy operates. The emergence of e-commerce has greatly shortened the time and space distance between economic participants and maximized the sharing of resources. However, the financial management and risk assessment capabilities of the existing supply are insufficient to adapt to the rapidly developing new environment. This article uses a combination of normative analysis and empirical analysis to analyze the status quo of the supply chain of small and medium e-commerce companies. First, this article establishes an evaluation framework for the supply chain of e-commerce companies based on edge computing. Second, according to the distribution of the supply chain, this article adds the member’s predetermined quota, reputation, execution time, and other indicators as parameters to establish a fuzzy neural network model. On this basis, combined with the price regression model, the pricing plan is evaluated. The results show that the financing risk obtained by this model differs very little from the actual risk. The above-mentioned model constructs an e-commerce enterprise supply chain financing risk management model that adapts to the environment of the new era.

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Stress wave evaluation for predicting the properties of thermally modified wood using neuro-fuzzy and neural network modeling

Cited by 44 publications

References 43 publications

Mechanical degradation of wood under ultraviolet radiation characterized by Lamb wave propagation

Mechanical degradation of wood under ultraviolet radiation characterized by Lamb wave propagation

Drying Stress and Strain of Wood: A Review

E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing

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