Skip to main content
Log in

A mixed experimental–numerical electrical resistivity-based method for moisture content assessment in wood tested using the example of Douglas fir

  • Original
  • Published:
Wood Science and Technology Aims and scope Submit manuscript

Abstract

The aim of this paper is to present a mixed experimental–numerical approach to evaluate the moisture content (MC) in Douglas fir samples through the use of electrical resistivity measurements. Elevated MC levels constitute the greatest threat to both physical and mechanical properties in timber structures. A reliable MC estimation process is considered a key to ensuring high durability, a long service life and low maintenance costs. In this study, a measurement system typically employed for electrical prospecting in the field of geophysics has been adapted to determine the electrical resistivity of wood. This approach-based tool is essentially a megohmmeter measuring the electrical resistance of wood using two pairs of needle-shaped probes inserted into the material. For this purpose, specific cables and electrodes have been developed. Using samples conditioned in a climate-controlled room, a number of key factors in MC estimation, such as electrode configuration and temperature, were investigated. These results are analyzed in order to both optimize the experimental protocol for future in situ applications and point out the experimental limitations associated with this measurement tool.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  • Allen JB, Larry RF (2001) Electrochemical methods fundamentals and applications, 2nd edn. Wiley, New York

    Google Scholar 

  • Attia al Hagrey S (2007) Geophysical imaging of root-zone, trunk, and moisture heterogeneity. J Exp Bot 58(4):839–854

    Article  CAS  Google Scholar 

  • Björngrim N, Hagman O, Wang XA (2016) Moisture content monitoring of a timber footbridge. BioResources 11(2):3904–3913

    Article  Google Scholar 

  • Brischke C, Rapp AO, Bayerbach R (2008) Measurement system for long-term recording of wood moisture content with internal conductively glued electrodes. Build Environ 43(10):1566–1574

    Article  Google Scholar 

  • Carll C, TenWolde A (1996) Accuracy of wood resistance sensors for measurement of humidity. J Test Eval 24(3):154–160

    Article  Google Scholar 

  • Cast3M, CEA (2017). CAST3M finite element software. www-cast3m.cea.fr

  • Clark J, Williams JW (2002) The electrical conductivity of commercial dielectrics and its variation with temperature. J Phys Chem 37(1):119–131

    Article  Google Scholar 

  • Cruz H, Yeomans D, Tsakanika E, Macchioni N, Jorissen A, Touza M, Mannucci M, Lourenço PB (2015) Guidelines for on-site assessment of historic timber structures. Int J Architect Heritage 9(3):277–289

    Article  Google Scholar 

  • Dietsch P, Franke S, Franke B, Gamper A, Winter S (2015a) Methods to determine wood moisture content and their applicability in monitoring concepts. J Civil Struct Health Monit 5(2):115–127

    Article  Google Scholar 

  • Dietsch P, Gamper A, Merk M, Winter S (2015b) Monitoring building climate and timber moisture gradient in large-span timber structures. J Civil Struct Health Monit 5(2):153–165

    Article  Google Scholar 

  • Du Plooy R, Lopes SP, Villain G, Derobert X (2013) Development of a multi-ring resistivity cell and multi-electrode resistivity probe for investigation of cover concrete condition. NDT E Int 54:27–36

    Article  Google Scholar 

  • Dubois F, Husson J-M, Sauvat N, Manfoumbi N (2012) Modeling of the viscoelastic mechano-sorptive behavior in wood. Mech Time-Dependent Mater 16(4):439–460

    Article  Google Scholar 

  • EN 12571 (2013). Hygrothermal performance of building materials and products: determination of hygroscopic sorption properties

  • EN 13183-1 (2002) Moisture content of a piece of sawn timber – part 1: determination by oven dry method

  • EN 1995-1-1 (2010). Eurocode 5: design of timber structures – part 1-1. General - common rules and rules for buildings

  • EN 335 (2013) Durability of wood and wood-based products–use classes: definitions, application to solid wood and wood-based products

  • Florsch N, Feras A, Bonnenfant J, Camerlynck C (2017) Induced polarization: a geophysical tool for slag characterization and ancient iron production assessment. ArcheoSciences 41(2):23–33

    Article  Google Scholar 

  • Forsén H, Tarvainen V et al (2000) Accuracy and functionality of hand held wood moisture content meters. Technical Research Centre of Finland Espoo, Finland

    Google Scholar 

  • Franke B, Franke S, Müller A, Schiere M (2016a) Long-term behaviour of moisture content in timber constructions-relation to service classes. Int Netw Timber Eng Res Meet Forty-Nine 5:19–23

    Google Scholar 

  • Franke B, Franke S, Schiere M, Müller A (2016b) Moisture diffusion in wood - experimental and numerical investigations. In: World conference on timber engineering (WCTE), Vienna, Austria

  • Gao S, Bao Z, Wang L, Yue X (2018) Comparison of voltammetry and digital bridge methods for electrical resistance measurements in wood. Comput Electron Agric 145:161–168

    Article  Google Scholar 

  • Gérard J, Guibal D, Paradis S, Vernay M, Beauchêne J, Brancheriau L, Châlon I, Daigremont C, Détienne P, Fouquet D et al (2011) Tropix 7. CIRAD. https://doi.org/10.18167/74726f706978

  • Green M, Karsh E (2012) The case for tall wood buildings. Canadian wood council on behalf of the wood enterprise coalition by forestry innovation investment (fii) report

  • Karhunen K, Seppänen A, Lehikoinen A, Blunt J, Kaipio JP, Monteiro PJ (2010) Electrical resistance tomography for assessment of cracks in concrete. ACI Mater J 107(5)

  • Keylwerth R, Noack D (1964) Bundesforschungsanstalt für forst-und holzwirtschaft, reinbek institut für holzphysik und mechanische holztechnologie. Holz Roh- Werkst 22(1):29–36

    Article  Google Scholar 

  • Koch J, Simon A, Arndt RW (2016) Monitoring of moisture content of protected timber bridges. In: World conference on timber engineering, Vienna

  • Kolavali R (2016) Diffusive mass transport of ions in wood. PhD thesis

  • Li H, Perrin M, Eyma F, Jacob X, Gibiat V (2018) Moisture content monitoring in glulam structures by embedded sensors via electrical methods. Wood Sci Technol 52(3):733–752

    Article  CAS  Google Scholar 

  • Loke M, Barker R (1996) Practical techniques for 3d resistivity surveys and data inversion1. Geophys Prospect 44(3):499–523

    Article  Google Scholar 

  • Longo R, Delaunay T, Laux D, El Mouridi M, Arnould O, Le Clezio E (2012) Wood elastic characterization from a single sample by resonant ultrasound spectroscopy. Ultrasonics 52(8):971–974

    Article  CAS  Google Scholar 

  • Longo R, Laux D, Pagano S, Delaunay T, Le Clézio E, Arnould O (2018) Elastic characterization of wood by resonant ultrasound spectroscopy (RUS): a comprehensive study. Wood Sci Technol 52(2):383–402

    Article  CAS  Google Scholar 

  • Luo Z, Guan H, Zhang X (2019) The temperature effect and correction models for using electrical resistivity to estimate wood moisture variations. J Hydrol 578:124022

    Article  Google Scholar 

  • Mai TC, Razafindratsima S, Sbartaï ZM, Demontoux F, Bos F (2015) Non-destructive evaluation of moisture content of wood material at gpr frequency. Constr Build Mater 77:213–217

    Article  Google Scholar 

  • Nguyen TA (2014) Approches expérimentales et numériques pour l’étude des transferts hygroscopiques dans le bois. (Numerical and experimental approaches to characterize the mass transfer process in wood elements). PhD thesis, University of Limoges (in French)

  • Nguyen TA, Angellier N, Caré S, Ulmet L, Dubois F (2017) Numerical and experimental approaches to characterize the mass transfer process in wood elements. Wood Sci Technol 51(4):811–830

    Article  CAS  Google Scholar 

  • Niemz P, Mannes D (2012) Non-destructive testing of wood and wood-based materials. J Cult Heritage 13(3):S26–S34

    Article  Google Scholar 

  • Niemz P, Sonderegger W (2017) Holzphysik: Physik des holzes und der Holzwerkstoffe. Carl Hanser Verlag GmbH Co KG

  • Norberg P (2000) Monitoring wood moisture content using the wetcorr method. Holz Roh- Werkst 58(3):129–134

    Article  Google Scholar 

  • Nursultanov N, Altaner C, Heffernan W (2017) Effect of temperature on electrical conductivity of green sapwood of pinus radiata (radiata pine). Wood Sci Technol 51(4):795–809

    Article  CAS  Google Scholar 

  • Otten KA, Brischke C, Meyer C (2017) Material moisture content of wood and cement mortars-electrical resistance-based measurements in the high ohmic range. Constr Build Mater 153:640–646

    Article  Google Scholar 

  • Pham MD, Nguyen TA, Hafsa W, Angellier N, Ulmet L, Takarli M, Pop IO, Dubois F (2018) Experimental-numerical resistivity measurements approach for characterization in structural timber. In: 6th international conference on collaboration in research and education for sustainable transport development (COREST VI), vol 27, pp 168–173. Journal of Transport Science and Technology

  • Skaar C (1988) Electrical properties of wood. In: Wood-water relations, Springer, Berlin, pp 207–262

  • Soge AO, Popoola OI, Adetoyinbo AA (2019) A four-point electrical resistivity method for detecting wood decay and hollows in living trees. Eur J Wood Prod 77(3):465–474

    Article  Google Scholar 

  • Stamm AJ (1927) The electrical resistance of wood as ameasure of its moisture content. Ind Eng Chem 19(9):1021–1025

    Article  CAS  Google Scholar 

  • Stamm AJ (1929) The fiber-saturation point of wood as obtained from electrical conductivity measurements. Ind Eng Chem Anal Ed 1(2):94–97

    Article  CAS  Google Scholar 

  • Vermaas H (1975) Experimental variables affecting the measurement of the dc resistance of wood. Holzforschung Int J Biol Chem Phys Technol Wood 29(4):140–144

    Google Scholar 

  • Wenner F (1916) A method of measuring earth resistivity. US Government Printing Office, Washington

    Book  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the Region Nouvelle Aquitaine who funded this work. They would like to acknowledge the valuable assistance and information provided by staff members at the IRIS Instruments company (Orléans, France). They contributed two of the ERT instruments used (Syscal Junior and Pro) and actively participated in their adaptation for our purposes.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wael Hafsa.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hafsa, W., Angellier, N., Takarli, M. et al. A mixed experimental–numerical electrical resistivity-based method for moisture content assessment in wood tested using the example of Douglas fir. Wood Sci Technol 55, 697–718 (2021). https://doi.org/10.1007/s00226-021-01281-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00226-021-01281-x

Navigation