Rheological behavior of wood in stress relaxation under compression
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Abstract
Rheological behavior of wood under uniaxial compression along and perpendicular to the grain in constant environment was examined. Tests with constant deformation rate until failure and stress relaxation tests with constant deformation applied stepwise were carried out. The experimental results of stress relaxation showed nonlinear material behavior over time that got more prominent under high deformation levels. Considerable amount of stress relaxed during applying the deformation. Wood experienced greater stress relaxation along the grain than perpendicular to it. Three rheological models for orthotropic material were calibrated to the experimentally determined stress–time curves in longitudinal and transverse directions simultaneously. Small deformation levels assuming linear strains were accounted for in the models. Required elastic material parameters were determined from the tests with constant deformation rate. A model including the highest number of viscoelastic material parameters was the most successful in predicting stress relaxation of wood under stepwise deformation. Modeling indicated that wood behavior was very close to linear viscoelastic in relaxation under small deformation. The obtained material parameters made the model suitable for predicting rheological behavior of wood comprehensively, under sustained deformation or load in constant conditions.
Introduction
Time-dependent material behavior is an important feature to be considered when wood is used as a structural material. Time-dependent behavior of wood strongly depends on temperature, moisture content level, history and variation, stress and deformation level, wood species, material heterogeneity, etc. In constant climate and nonzero loading or deformation state, the material behavior of wood is viscoelastic. When the moisture content in wood varies and the material is stressed or deformed simultaneously, its behavior is characterized as mechanosorptive. The phenomenon when material’s deformation increases over time under constant stress is called creep. The opposite process when the deformation is held constant and stress reduction over time occurs is called relaxation. A complementary amount of stress that is maintained is called stress retention. Creep and relaxation processes trigger the same molecular mechanisms in wood (Engelund and Svensson 2011; Eitelberger et al. 2012). The relation between creep and stress relaxation phenomena is also mathematically supported in the theory of linear viscoelasticity. The derivation in one-dimensional form can be found in many theoretical books on viscoelasticity (e.g., Findley et al. 1976; Flügge 1967). Mechanosorptive and viscoelastic creep are also considered as connected or as the same mechanisms (Hanhijärvi and Hunt 1998; Hanhijärvi 1995a, b; Hunt 1999; Bažant 1985). Rheological behavior of wood has been experimentally and theoretically studied for decades. A recent review on the topic has been made by Navi and Stanzl-Tschegg (2009). Evidently, many studies consider creep behavior of wood (e.g., Ożyhar et al. 2013; Schniewind and Barrett 1972; Taniguchi and Ando 2010; Kawahara et al. 2015), while the experimental research on stress relaxation is very limited. This is somehow puzzling, since it has been established that wood experiences rheological behavior whether the deformation or the stress is held constant; meaning that the rheological behavior of wood is characterized by both creep of strain and stress relaxation phenomena. Therefore, the importance of research on stress relaxation equals the importance of research on creep of wood and it should not be discriminated or neglected. To be able to understand and numerically or mathematically describe the rheological behavior of wood at various time periods, a wide range of experimental data not only on creep but also on stress relaxation is needed. Accounting for a broad spectrum of work on stress relaxation of wood, some interesting studies have been noticed. Stress relaxation experiments in bending were performed by Gaff and Gašparík (2015) on beech wood, by Kurenuma and Nakano (2012) on wet wood and by Tanimoto and Nakano (2012) on treated wood using aqueous alkali solution. Tensile stress relaxation tests of impregnated wood with water-based preservative at various temperatures were carried out by Yu et al. (2010). Tensile stress relaxation of pine wood exposed to relative humidity and temperature variations is studied by Li et al. (2012). Stress relaxation on microlevel of three different coniferous woods under tension parallel and compression perpendicular to the grain was analyzed by Kirbach et al. (1976). When it comes to stress relaxation of wood in constant environment, the available experimental studies are even more narrowed. Saifouni et al. (2016) analyzed stress relaxation in tension of silver fir in constant climate. Kubat and Klason (1991) reported experimental results of stress relaxation of Scots pine veneer at different stress levels and constant relative humidity. Additionally, Saifouni et al. (2016) and Kubat et al. (1989) presented the results of stress relaxation of wood exposed to changing relative humidity. A very extensive experimental study on stress relaxation of six tropical wood species at several levels of strain in compression and tension was carried out by Echeniques-Manrique (1969). Commonly, the researchers applied linear viscoelastic ‘spring–dashpot’ models to the experimental results at low strain levels. The abilities and limitations of one-dimensional (1D) ‘spring–dashpot’ models for predicting nonlinear time-dependent curves were theoretically discussed in Tschoegl (1989) and Findley et al. (1976). Practically, Echeniques-Manrique (1969) showed that 1D KD model, also known as Burgers model, was unable to predict stress relaxation of different wood species under instant step excitation. Additionally, he claimed that nonlinear dashpot in series with ‘Kelvin solid’ fitted experimental data from stress relaxation much better. Mathematical formulation of the nonlinear dashpot was based on the 1D molecular deformation kinetics theory of flow processes (e.g., Krausz and Eyring 1975). A series of nonlinear dashpots in combination with other rheological assemblies was typically used for modeling creep behavior of wood (Caulfield 1985; Van der Put 1989; Hanhijärvi 1995a, b; Engelund and Svensson 2011). To the authors’ best knowledge, the theory of deformation kinetics has not been applied to modeling rheological behavior of wood in more than one dimension so far. Rawat et al. (1998) used chemical kinetics to study the stress relaxation of pine wood blocks compressed parallel to the grain at constant relative humidity and room temperature.
With the aim of better understanding time-dependent behavior of wood and of offering fresh and up-to-date experimental data on stress relaxation in constant climate, this paper presents a new set of experimental results of stress relaxation of pine wood under compression parallel and perpendicular to the grain. Different levels of deformation were applied to the rectangular block specimens in consecutive manner. Additionally, tests until failure with constant deformation rate were performed. Strains in two perpendicular directions and load were monitored during the tests. Elastic moduli and Poisson’s ratios were determined from tests with constant deformation rate. Similar to elastic material parameters, an attempt to find a set of viscoelastic material parameters that characterize the rheological behavior of wood was made. Hence, three two-dimensional (2D) linear viscoelastic models including different numbers of viscoelastic material parameters were calibrated to experimentally determined stress–time curves in the range of elastic strain.
Materials and methods
Experiments were performed by means of a uniaxial testing machine MTS^{®}. A force transducer LPS.105 of the capacity 100 kN was used. During testing, force and axial and transverse displacements were measured on a front surface of the specimens. Force monitored with the load cell was exported to MTS TestSuite™ software, while the strain measurements were calculated and collected from compatible software, Advantage Video Extensometer (AVX04). All the measurements were exported with the frequency 10 s^{−1}. The AVX software operated the digital camera, GigE with resolution of 1388 × 1038 pixel recording 17 frames per second. A material testing lens was used with magnification 0.2 and working distance 297 mm. The software works on a principle of digital non-contact strain gauges projected on the image of the specimen’s surface. The virtual strain gauge follows the displacements of two points that are physically marked on the specimen’s surface. The AVX measurements meet the accuracy requirements for ASTM E83 Class B1 and ISO 9513 Class 0.5 calibration standards (MTS^{®} 2017). The advantages of measuring strain with digital method compared to a conventional method based on a comparative analysis of elastic constants determined with different methods were discussed in Crespo et al. (2017). In the experimental analyses at hand, 3 virtual strain gauges were placed in horizontal and 3 in vertical direction on the front surface of each tested specimen. The length of strain gauges in horizontal direction was 20 mm and in vertical direction 16 mm. One strain gauge was placed in the center line and two others symmetrically by 10 and 8 mm offset in horizontal and vertical directions, respectively.
The experiments were carried out on Scots pine (Pinus sylvestris L.) grown in southern Sweden. During testing, climate was held constant at a temperature T = 20 °C and relative humidity RH = 30%. The used wood did neither contain knots, resin nor reaction wood. After the specimens had been cut into rectangular blocks with fairly smooth surfaces, they were conditioned to the target constant environment resulting in equilibrium moisture content u = 9%. Their average cross-sectional area was A = 5.915 cm^{2}, height h = 3.95 cm and density ρ = 537 kg/m^{3}. Two batches of specimens were cut: The first batch consisted of 17 specimens with the grain aligned in the direction of deformation, and the second one contained 18 specimens with the grain perpendicular to the applied deformation. Therefore, the first batch was tested in compression in longitudinal (L) direction and the second one in transverse (T) direction. Six specimens of each batch were deformed until failure with the constant rate 0.2 mm/min in L and 0.6 mm/min in T direction. The deformation rates were chosen so that the first peak compressive load in L direction was reached at approximately 5 min and the peak compressive load in T direction at approximately 2.5 min. Several studies on the influence of loading rate on mechanical properties of wood were reported (Büyüksari 2017; Green et al. 1999; Gerhards 1977). Generally, it has been concluded that the strength and modulus of elasticity parallel to the grain decrease with decreasing loading rate. However, the influence of loading (or deformation) rate on mechanical properties of wood was not specifically addressed in this work.
Testing procedure of deformation-controlled relaxation under compression
Group name | t_{relax} (min) | Number of tests | Crosshead movement (mm) | Number of relaxation periods | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.75 | 0.9 | 1.2 | ||||
L51 | 5 | 4 | √ | √ | √ | √ | √ | √ | √ | 7 | ||
L52 | 5 | 4 | √ | √ | √ | √ | √ | √ | √ | √ | 8 | |
L60 | 60 | 3 | √ | √ | √ | √ | √ | √ | √ | √ | 8 | |
T5 | 5 | 8 | √ | √ | √ | √ | √ | √ | √ | √ | √ | 9 |
T60 | 60 | 4 | √ | √ | √ | √ | √ | √ | √ | √ | √ | 9 |
The stress relaxation experiments with 5- and 60-min relaxation periods were carried out with the intention to elucidate and analyze in detail the short-term rheological behavior of wood subjected to the repetitive stepwise deformation. The influence of applying repetitive deformation steps, their magnitudes and the duration of relaxation periods on stress relaxation was investigated. The obtained experimental results present a fundamental basis in development of rheological models for wood material. With the acquired numerical values of material parameters, a direct application of the model to predicting long-term behavior of timber structures in constant climate is possible.
Results and discussion
Experimental results
Elastic moduli, Poisson’s ratios and ultimate compressive strength for Scots pine
E_{L} (MPa) | E_{T} (MPa) | σ_{u,L} (MPa) | σ_{u,T} (MPa) | ν_{LT} (/) | ν_{TL} (/) | |
---|---|---|---|---|---|---|
Min | 15,719 | 530 | 50.5 | 7.0 | 0.09 | 0.009 |
Max | 19,353 | 663 | 59.1 | 7.8 | 0.49 | 0.023 |
Mean | 17,654 | 599 | 56.4 | 7.6 | 0.33 | 0.016 |
Std | 1257 | 56 | 3.0 | 0.3 | 0.16 | 0.006 |
cv (%) | 7.1 | 9.4 | 5.4 | 4.1 | 48.7 | 36.6 |
Material properties of the tested specimens are in the expected range, if compared to the values in the literature for pine (Kollman and Côté 1968). Lower values of elastic modulus in compression parallel to the grain for species of pine wood were reported in Aira et al. (2014), Baltrušaitis and Aleinikovas (2012) and Kretschmann (2010). However, Jin-Kyu et al. (2007) and Aira et al. (2014) discussed possible reasons for discrepancies among the experimental data from different analyses, such as high probability of slight variations in experimental conditions, i.e., RH, deformation rate and the wood itself, i.e., density, degree of growth and imperfections, specimen shape or different methods used for evaluating the elastic material parameters. The experimentally determined Poisson’s ratios have high coefficients of variation. Beside the material behavior, in particular the uncertainty of strain measurements perpendicular to the applied deformation is most probably a reason for large coefficients of variation of Poisson’s ratios.
It must be noted that the results regarding the deformation levels 0.1 and 0.2 mm of crosshead movement are noisier in comparison with the results of consecutive deformation levels. Additionally, the scatter of stress relaxation at deformation level 0.1 mm is the highest (Fig. 3). The noise and scatter of the results are not necessarily related to the material behavior, but could be affected by uncertainty of the used equipment in the range of recoverable strains. Scatter of the maximum stresses is relatively small and quite insignificant; however, it shows a tendency to increase with increasing applied deformation. The mean values of stress relaxation at the end of the relaxation periods are about 40% higher on average in groups L60 and T60 than in L5 and T5, respectively. In general, the stress relaxation is higher when the material is deformed in T direction compared to L direction.
Relative error defined as a difference between the maximum stresses in groups L5 and L60, normalized by the maximum stress of group L5 for particular deformation level tends to slightly increase with increasing maximum stress but is never higher than 9%. This could indicate that the deformation history with longer relaxation periods results in higher maximum stresses reached in the range of irrecoverable strain. The mean maximum stress at deformation level 0.9 mm is a bit lower (approx. 4%) in group L52 with a total of 8 relaxation periods than in group L51 which was subjected to one relaxation period less (Fig. 3a). Since the minimum and maximum values of stress relaxation and maximum stress of group L52 envelop the results of group L51 at deformation level 0.9 mm, the additional relaxation period seems not to influence the magnitude of the maximum stresses reached in the range of irrecoverable strain. Relative comparison of maximum stresses for specimens deformed stepwise in T direction, groups T5 and T60, does not confirm the influence of the duration of relaxation periods on the magnitude of maximum stress reached at each deformation level since the relative error is spread disorderly and is not higher than 8%. Analyzing the mean values of stress relaxation at time 5 min of each deformation period in all tested groups shows that they are on average 15% higher in group L5 compared to group L60 and 27% higher in group T5 compared to group T60. This indicates a considerable influence of the duration of relaxation period on the stress relaxation.
Modeling
Generally, it can be concluded that the K model is not very successful in predicting experimental stress–time curves. Moreover, the ability of the K model to predict normalized stress retention curves for each relaxation period is practically nonexistent in L direction and substantially too low in T direction. The KD model is almost not able to produce nonlinear stress relaxation behavior, as similarly argued by Echeniques-Manrique (1969), while the minimum and maximum stresses of each relaxation period fit quite well (Fig. 5). Stress retention curves corresponding to stress–time predictions of K and KD models are not shown in detail in the paper due to the invaluable results. As expected, the stress–time curves and corresponding stress retention curves are best predicted by the KK model that has the largest number of viscoelastic material parameters among the used models. Less promising is the fact that the models are not able to predict viscoelastic behavior of the material in stepwise relaxation test of wood under compression as good as they are able to predict viscoelastic creep strain of different wood species under constant tension where the excitation is instant (Huč and Svensson 2018).
It should be noted that the fitted viscoelastic material parameters influence the shape and the magnitude of the predicted stress retention and stress–time curves greatly. Therefore, numerous solutions could be obtained by the same model depending on the values of the viscoelastic material parameters. For instance, the gap between the stress retention curves could be decreased or the shape of the curves could be more alike to experimental results. To the authors’ best knowledge, both could not be obtained with the same set of viscoelastic material parameters. Applying more advanced or expert fitting curve methods could most probably enhance the obtained numerical fits. Likewise, numerical prediction of stress relaxation process of wood could be obtained by adding more viscoelastic elements such as ‘Kelvin solid’ in series to KK model. Values of the viscoelastic material parameters differ among the models; in addition, it is not necessary that the viscoelastic material parameters obtained for groups L60 and T60 would also give the best fits of experimental results L5 and T5.
Conclusion
Scots pine specimens were tested in compression in the grain direction and perpendicular to the grain with constant deformation rate until failure and under stepwise deformation-controlled stress relaxation. The temperature around the specimen and its moisture content were held constant during testing. The stiffness and ultimate strength of the material were much higher in the direction of the grain than in the transverse direction. Corresponding Poisson’s ratios were determined with large coefficients of variation. The stress relaxation experiments revealed that stress relaxation at the end of the relaxation periods was a nonlinear function of maximum compressive stresses reached before the start of the particular relaxation period. The stress retention was a nonlinear function of time for all deformation levels applied. The non-linearity was more prominent under higher deformation levels. The stress retention was gradually decreasing when material was deformed in the irreversible or plastic range of strain, while under low reversible strains the stress retention was increasing. The material experienced greater stress relaxation when deformed in the transverse than in the longitudinal direction.
Three linear rheological 2D models with different number of viscoelastic material parameters were used for predicting experimentally obtained stress curves in the range of recoverable strains. Elastic material parameters were used as determined in tests with constant deformation rate until failure. Viscoelastic material parameters were calibrated against experimental data. The same set of material parameters was used for predicting stress development over time in L and T directions. The input deformation protocol in the models was assigned according to the measured strain in the direction of applied deformation. The active deformation periods with nonzero deformation rate were also taken into account. The analyses showed that the simple viscoelastic K model was not capable to simulate stress relaxation. The numerical prediction was improved with additional viscoelastic material parameters that were built in the KK model. According to the KK model’s results, it could be concluded that the material behavior observed by tests was very close to linear viscoelastic in relaxation under low deformation. Since the stress relaxation was taken into account not only in relaxation periods but also during the active deformation periods with nonzero deformation rate the stress retention curves were not superimposed. The difference between the curves obtained from experimental results was small if compared to the numerical predictions.
It was shown already the models were able to predict viscoelastic creep response in two perpendicular directions simultaneously when one load level was applied instantaneously. Analogously, it can be expected if only one level of deformation is applied instantaneously the tuning of the models to stress relaxation would also be satisfactory. As shown, already the simple K model was good enough in predicting viscoelastic creep response of wood under instantaneously applied constant load. This might not be the case when the prediction of viscoelastic behavior of wood in stress relaxation under instantaneous step deformation is to be desired. There, the models with higher number of viscoelastic material parameters (e.g., KK) might be required to obtain accurate fit to experimental results. If such analysis was carried out, it would be interesting to compare the numerical values of viscoelastic material parameters of the particular model calibrated to the stress relaxation and creep separately. Since they trigger the same molecular processes, it is expected that one set of viscoelastic material parameters will render equally good predictions of the viscoelastic response of wood in creep and stress relaxation. Yet, this hypothesis needs to be confirmed. Obviously, when a stepwise excitation is applied the material behavior becomes much harder to predict. The task is especially challenging when particular deformation or load level is studied in detail. In the future, the ability of the models to predict a stepwise viscoelastic creep would be interesting to investigate. The question arises whether the models will be as successful in predicting viscoelastic creep under stepwise loading as they were when the constant load was applied instantaneously. Afterward, the appropriate and more specific conclusions about the capability and suitability of the models for predicting viscoelastic behavior of wood under stepwise excitation can be drawn. In order to find better theoretical models for predicting the stress relaxation in wood material, it might also be worth working on a formulation including nonlinear dashpots in two orthotropic directions.
Notes
Acknowledgements
The financial support by Gunnar Ivarson’s Foundation (Gunnar Ivarsons Stiftelse för Hållbart Samhällsbyggande, GIS) made this work possible. The work of Tomaž Hozjan received support from the research core funding No. P2-0260 by the Slovenian Research Agency.
References
- Aira JR, Arriaga F, Iniguez-Gonzalez G (2014) Determination of elastic constants of Scots pine (Pinus sylvestris L.) wood by means of compression tests. Biosyst Eng 126:12–22CrossRefGoogle Scholar
- Baltrušaitis A, Aleinikovas M (2012) Early-stage prediction and modelling strength properties of lithuanian-grown scots pine (Pinus sylvestris L.). Balt For 18:327–333Google Scholar
- Bažant ZP (1985) Constitutive equation of wood at variable humidity and temperature. Wood Sci Technol 19:159–177CrossRefGoogle Scholar
- Büyüksari Ü (2017) Effect of loading rate on mechanical properties of micro-size Scots Pine wood. BioResources 12:2721–2730Google Scholar
- Caulfield DF (1985) A chemical kinetics approach to the duration-of-load problem in wood. Wood Fiber Sci 17:504–521Google Scholar
- Crespo J, Aira JR, Vazquez C, Guaita M (2017) Comparative analysis of the elastic constants measured via conventional, ultrasound, and 3-D digital image correlation methods in Eucalyptus globulus Labill. BioResources 12:3728–3743CrossRefGoogle Scholar
- Echeniques-Manrique R (1969) Stress relaxation of wood at several levels of strain. Wood Sci Technol 3:49–73CrossRefGoogle Scholar
- Eitelberger J, Bader TK, de Borst K, Jäger A (2012) Multiscale prediction of visoelastic properties of softwood under constant climatic conditions. Comput Mater Sci 55:303–312CrossRefGoogle Scholar
- Engelund ET, Svensson S (2011) Modelling time-dependent behaviour of softwood using deformation kinetics. Holzforschung 65:231–237CrossRefGoogle Scholar
- Findley WN, Lai JS, Onaran K (1976) Creep and relaxation of nonlinear viscoelastic materials. Dover, New YorkGoogle Scholar
- Flügge W (1967) Viscoelasticity. Blaisdell Publishing Company, University of Michigan, MichiganGoogle Scholar
- Frandsen HL (2007) Selected constitutive models for simulating the hygromechanical response of wood. Dissertation, Aalborg UniversityGoogle Scholar
- Gaff M, Gašparík M (2015) Influence of cyclic stress on the relaxation speed of native and laminated wood. Bioresorces 10:402–411Google Scholar
- Gerhards CC (1977) Effect of duration and rate of loading on strength of wood and wood-based materials. U.S. Department of Agriculture, MadisonGoogle Scholar
- Green DW, Winandy JE, Kretschmann DE (1999) Mechanical properties of wood. Forest Products Laboratory, MadisonGoogle Scholar
- Hanhijärvi A (1995a) Deformation kinetics based rheological model for the time-dependent and moisture induced deformation of wood. Wood Sci Technol 29:191–199CrossRefGoogle Scholar
- Hanhijärvi A (1995b) Modelling of creep deformation mechanisms in wood. Technical Research Centre of Finland, EspooGoogle Scholar
- Hanhijärvi A (1999) Deformation properties of Finnish spruce and pine wood in tangential and radial directions in association to high temperature drying, Part II. Experimental results under constant conditions (viscoelastic creep). Holz Roh- Werkst 57:365–372CrossRefGoogle Scholar
- Hanhijärvi A, Hunt D (1998) Experimental indication of interaction between viscoelastic and mechano-sorptive creep. Wood Sci Technol 32:57–70CrossRefGoogle Scholar
- Huč S, Svensson S (2018) Coupled two-dimensional modelling of viscoelastic creep of wood. Wood Sci Technol 52(1):29–43CrossRefGoogle Scholar
- Hunt DG (1999) A unified approach to creep of wood. Proc R Soc Lond A 455:4077–4095CrossRefGoogle Scholar
- Jin-Kyu S, Sun-Young K, Sang-Won O (2007) The compressive stress–strain relationship of timber. In: International conference on sustainable building Asia pp 977–982Google Scholar
- Kawahara K, Ando K, Taniguchi Y (2015) Time dependence of Poisson’s effect in wood IV: influence of grain angle. J Wood Sci 61:372–383CrossRefGoogle Scholar
- Kirbach E, Bach L, Wellwood RW, Wilson JW (1976) On the fractional stress relaxation of coniferous wood tissues. Wood Fiber 8:74–84Google Scholar
- Kollman FFP, Côté WA Jr (1968) Principles of wood science and technology I, solid wood. Springer, BerlinCrossRefGoogle Scholar
- Krausz AS, Eyring H (1975) Deformation kinetics. Wiley, New YorkGoogle Scholar
- Kretschmann DE (2010) Wood handbook: wood as an engineering material. Forest Products Laboratory, MadisonGoogle Scholar
- Kubat DG, Klason C (1991) Stress relaxation in wood (Scots pine veneer). Part II Quantitative comparison with the prediction of a cooperative flow model. J Mater Sci 26:5261–5268CrossRefGoogle Scholar
- Kubat DG, Samuelsson S, Klason C (1989) Stress relaxation in wood (Scots pine veneer). J Mater Sci 24:3541–3548CrossRefGoogle Scholar
- Kurenuma Y, Nakano T (2012) Analysis of stress relaxation on the basis of isolated relaxation spectrum for wet wood. J Mater Sci 47:4673–4679CrossRefGoogle Scholar
- Li XQ, Wang XM, Yu JF (2012) Research on tensile stress relaxation characteristics of Pinus sylvestris. Mater Sci Forum 704–705:480–485Google Scholar
- Morlier P, Palka LC (1994) Modelling of time-dependent deformation. Creep in timber structures. E&F, Spon, LondonGoogle Scholar
- MTS^{®} (2017) Services & accessories. https://www.mts.com/cs/groups/public/documents/library/dev_003828.pdf. Accessed 25 Sept 2017
- Navi P, Stanzl-Tschegg S (2009) Micromechanics of creep and relaxation of wood. A review. Holzforschung 63:186–198CrossRefGoogle Scholar
- Ożyhar T, Hering S, Niemz P (2013) Viscoelastic characterization of wood: time dependence of the orthotropic compliance in tension and compression. J Rheol 57:699–717CrossRefGoogle Scholar
- Rawat SPS, Breese MC, Khali DP (1998) Chemical kinetics of stress relaxation of compressed wood blocks. Wood Sci Technol 32:95–99CrossRefGoogle Scholar
- Saifouni O, Destrebecq JF, Froidevaux J, Navi P (2016) Experimental study of mechanosorptive behavior of softwood in relaxation. Wood Sci Technol 50:789–805CrossRefGoogle Scholar
- Schniewind AP, Barrett JD (1972) Wood as a linear viscoelastic material. Wood Sci Technol 6:43–57CrossRefGoogle Scholar
- Taniguchi Y, Ando K (2010) Time dependence of Poisson’s effect in wood I: the lateral strain behavior. J Wood Sci 56:100–106CrossRefGoogle Scholar
- Tanimoto T, Nakano T (2012) Stress relaxation of wood partially non-crystallized using aqueous NaOH solutions. Carbohydr Polym 87:2145–2148CrossRefGoogle Scholar
- Tschoegl NW (1989) The phenomenological theory of linear viscoelastic behavior: an introduction. Springer, BerlinCrossRefGoogle Scholar
- Van der Put TACM (1989) Deformation and damage processes in wood. Delft University Press, DelftGoogle Scholar
- Yu LL, Cao JZ, Zhao GJ (2010) Tensile stress relaxation of wood impregnated with different ACQ formulations at various temperatures. Holzforschung 64:111–117Google Scholar
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