1 / 16

Hygrothermal behavior modeling of different Lime-Hemp concrete mixes

Tokyo, ICCS 2013. Hygrothermal behavior modeling of different Lime-Hemp concrete mixes. Samuel Dubois. PhD Student , Gembloux ABT, Belgium. Lime-Hemp Concretes. A sustainable construction material (Low carbon) Made of hemp shivs + Lime-based binder Cast, sprayed or prefabricated

Download Presentation

Hygrothermal behavior modeling of different Lime-Hemp concrete mixes

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Tokyo, ICCS 2013 Hygrothermal behavior modeling of different Lime-Hemp concrete mixes Samuel Dubois PhDStudent, Gembloux ABT, Belgium

  2. Lime-Hemp Concretes • A sustainable construction material (Low carbon) • Made of hemp shivs + Lime-based binder • Cast, sprayed or prefabricated • Different proportions depending on final usage

  3. Lime-Hemp Concretes Roof, wall, slab or plaster mixes

  4. Lime-Hemp Concretes

  5. Lime-Hemp Concretes • Stated to offer a comfortable indoor climate • High porosity and hygroscopicity • Moisture storage and vapor permeability both high Surrounding Air High moisture exchange capacitywithenvironment +Q • Potentially good in regulating variations of indoor relative humidity • Linked latent heateffects

  6. How to characterize this behavior? • Experimentally : • Numerically : • Moisture Buffer Value (MBV) protocol • Sampleundercyclic relative humidity sollicitations • Weight variation monitoring • Heat Air and Moisture (HAM) Models • PDE Equations • Lots of availablemodels • Differenthygrothermalparameters

  7. Objectives • Characterize the behavior of differentsamplesduring a MBV test (cyclic RH) • Confront the experimentalresults to a HAM model • Gethygrictransfersparametersthrough inverse modeling

  8. Experimental set-up • 3 different samples • Variation of portland cement dosage  Quantify a possible effect of hydraulic binder on moisture exchange capacity • Sample conditionment • Initially in equilibrium with 50%RH • One unique exchange face 25% PC 75% PC 100% QSC

  9. Experimental set-up • Climate chamber + sensors • 8 hours @ 75%RH followed by 16 hours @ 33%RH • Constant temperature • Continuous weight monitoring • Surface temperature monitoring (Latent heat!) • Indoor air temperature/relative humidity monitoring

  10. Hygrothermal model • Developed in COMSOL Multiphysics • Advantages concerning interoperability • Coded in MatLab for communication with the inverse modeling tool • Mathematical representation • Two balance equations + Boundary conditions • Two variables (temperature and relative humidity) / 1D / Simplification assumptions Moisture Heat

  11. Inverse Modeling? • The opposite of direct modeling • Find the best estimates of hygrothermal transfer parameters • We would normally measure first the parameters and then predict the behavior • Here an algorithm compares experimental and numerical results in an optimization process • Benefit? • Multiple parameters obtained within one experiment Findparameterswhichminimize the differencebetween model output and experimentalresults Twodatasets for the estimation : surface T and weight variation

  12. Hygrothermal model • What are the parameters to be estimated? • Moisture capacity (storage), vapor permeability and surface resistance • Impossible to estimate heat transfer parameters! • Optimization on 2 datasets with fixed heat parameters Exchange properties of the boundary layer Moisture balance Boundary conditions

  13. Results (Experimental) • The 3 samples behave similarly

  14. Results (Inverse modeling) • LH sample • Resistance factor and initial conditions well optimized • Vapor permeability and moisture capacity highly correlated Inverse modeling

  15. Results (Inverse modeling) • Model and experimental data comparison

  16. Conclusions • The hydraulic binder dosage (Portland cement) have little influence on isothermal hygric properties of LHC (in the range 33-75%RH) • The proportion hemp/binder is more crucial • The MBV protocol is unable to give information about thermal transfer properties but shows latent heat effects • Interesting to explore other RH range  other phenomena • Inverse modeling is a powerful tool

More Related