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92 Figure 5: Distribution of sorption time constants occurrence The surface water vapour transport coefficients were determined from the known sorption exponents. The most frequent values are in the interval with the order of magnitude 1.10‐5 m.s‐ 1. These values correspond to the values usual under laboratory free convection conditions reduced by the factor of 0.05 – due to the barrier represented by dessicator plate. The higher values, of the order of magnitude 1.10‐6 m.s‐1, correlate with the high ‐ 75 and 95 % relative humidities. 4. Conclusions Figure 6: Distribution of surface water vapour diffusion coefficients occurrence The dynamics of water vapour sorption process in a vacuum dessicator is determined by the surface water vapour diffusion coeficient between the dessicator environment and the sample.
The surface water vapour diffusion coefficient values in dessicators can be identified from the exponential curve of a sorption in time. Long sorption times are given by the surface water vapour diffusion coefficients smaller than in laboratory free convection conditions. Their values are equal or lower than 1.10 ‐5 m.s ‐1 . The dynamics of water vapour sorption process in a vacuum dessicator can be evalueated by the time constants of the process. The most frequent values lie in the interval 0 – 30 hours. Higher values are typical for gypsum and wooden materials. Acknowledgement Authors wish to thank the APVT‐51‐030704 and APVV‐0744‐07 projects for the financial support of this work. References [1] KUENZEL H. M.; Kiessl K. Bestimmung des Wasserdampfdiffusionwiederstandes von mineralischen Baustoffen aus Sorptionsversuchen. In Bauphysik. 1990. 12(5) p. 140‐144. ISSN 0171‐5445 [2] LUIKOV A. V, Heat‐Conduction Theory [in Russian], Vysshaya Shkola, Moscow, 1967. 2‐ 3‐5/64‐65‐6. [3] MATIASOVSKY P.; Bagel L. Compatibility of BET nitrogen and water adsorption/desorption isotherms of interior plasters. In <strong>Proceedings</strong> of 4th International Building Physics <strong>Conference</strong>/Editors Bayazit N.T.; Manioglu, G.K. Yilmaz Z. Istanbul, Technical University Istanbul. p. 11‐16. ISBN 978‐975‐561‐350‐5 93
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Thermophysics 2009 29 th and 30 th
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Content Ivan Baník, Jozefa Lukovi
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Measurement of the thermo‐physica
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As the right side of the previous r
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The initial vector k r in the k1, k
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2.4 The computer programs testing T
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Investigation of moisture influence
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⎛ t t ⎞ −1 ⋅ ln⎜ ⎝ tm t
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Density [kg.m -3 ] 620 600 580 560
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for a new building have to be great
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Fig.1. Photo of the hot ball sensor
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Fig.6.Left: formation of blocks. Ri
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4. Conclusions With this experiment
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1a. Three‐dimensional temperature
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n+ ∞ ( ) 4 ( ) ∑ π n= 1 ( 2 1)
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a 2 2 ( Fo) ⎛ l ⎞ r = ⎜ ⎟
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Substitution of ordinates of the in
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Moisture transport through porous m
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Data acquired through the hot ball
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In this way, the water spreading wa
Page 41 and 42: Thermal conductivity [W m -1 K -1 ]
Page 43 and 44: Relationship between relative permi
Page 45 and 46: ( ) i n Φ − Φ K i = ki i i, cri
Page 47 and 48: Figure 4: Comparison of measured an
Page 49 and 50: Computational modelling of coupled
Page 51 and 52: a ξ = d 2 ( lnκ − lnκ ) lnξ +
Page 53 and 54: on the results of experiments and c
Page 55 and 56: Figures 8a, b: Moisture content (a)
Page 57 and 58: Conclusions The computer simulation
Page 59 and 60: properties as are the bulk density,
Page 61 and 62: elation determined from the measure
Page 63 and 64: In the evaluation of the difference
Page 65 and 66: Heat source I RT-Lab II Specimen Ch
Page 67 and 68: Thermal conductivity [W m -1 K -1 ]
Page 69 and 70: silicon glue epoxy probe hole Figur
Page 71 and 72: Computational modelling of temperat
Page 73 and 74: 1 2 3 EXT. INT. 5-15 50-60 375 5 Nu
Page 75 and 76: Fig. 4 shows a comparison of the re
Page 77 and 78: Envelope D Figs. 14, 15 present the
Page 79 and 80: Application of computational modell
Page 81 and 82: Table 2: Basic material characteris
Page 83 and 84: Temperature [K] 320 300 280 260 240
Page 85 and 86: Mineral wool has the same effect as
Page 87 and 88: Nowadays, most of concrete building
Page 89 and 90: Figure 2: Ceramic dessicator plate
Page 91: dessicators are decreased by the pe
Page 95 and 96: where h is the Planck constant and
Page 97 and 98: (a) (b) Figure 2: Schematic picture
Page 99 and 100: [7] BLUM, V.; HART, G. L. W.; WALOR
Page 101 and 102: Analysis of moisture hysteresis of
Page 103 and 104: The water content during scanning b
Page 105 and 106: All analysed cellulose based materi
Page 107 and 108: Thermodilatometry of ceramics using
Page 109 and 110: of the dilatometric cell with the s
Page 111 and 112: thermal expansion / % 2 1,5 1 0,5 0
Page 113 and 114: [8] KAMSEU, E. ; LEONELLI, C. ; BOC
Page 115 and 116: heating, the temperatures were meas
Page 117 and 118: temperature difference [°C] 140 12
Page 119 and 120: temperature difference [°C] 180 16
Page 121 and 122: [4] ČÍČEL, B. - NOVÁK, I. - HOR
Page 123 and 124: space and the crystallization press
Page 125 and 126: 20 mm face to the penetrating KNO3
Page 127 and 128: Cb [kg/m 3 (sample)] 1800 1600 1400
Page 129 and 130: D [m 2 /s] 1.0E-03 1.0E-04 1.0E-05
Page 131 and 132: Thermomechanical modelling of matur
Page 133 and 134: ε ε (velocity rates) a x , t . By
Page 135 and 136: ε ε w v The process of redistribu
Page 137 and 138: Conclusion In this paper we have br
Page 139 and 140: most popular among direct technique
Page 141 and 142: • Closed pores (not available for
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espective volume of inclusions frac
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Summary Among the indirect methods
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Thermal, hygric and salt‐related
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The water vapor diffusion coefficie
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Thermal properties Thermal conducti
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On the other hand, apparent moistur
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Thermal conductivity.. [Wm -1 K -1
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Properties of innovative materials
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or hygrothermal analysis of buildin
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where Da is the diffusion coefficie
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The bending and compressive strengt
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moisture diffusivity which was caus
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Abstract: Thermal conductivity in d
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, (5) where λ is thermal conductiv
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4.Measured values and calculation I
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Acknowledgements This research has
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3 Results During heating, the struc
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Acknowledgment This work was suppor
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mixture by short mixing, the mixtur
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detected by MIP and thus the intrus
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diffusion. The general Arrhenius eq
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Thermal conductivity measurement of
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S s o 2 4 4 λ ∇ T = wεσ ( T
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steel (20 W m ‐1 K ‐1 ) is arou
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significant larger cross‐section.
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Water and heat transport properties
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The open porosity ψ0 [%], bulk den
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Table 3: Basic material parameters
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Acknowledgements This research has
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comparison of results we can determ
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specimen and heat source R at infin
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6.E-04 4.E-04 ΔU (V) 2.E-04 0.E+00
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[3] KUBIČÁR Ľ. Pulse method of m
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silicate binders as partial replace
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Table 2. Mechanical properties HPC
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HPC Table 5. Water transport proper
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The results obtained for using high
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aerospace engineering, cryogenic en
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4 ⎡ ′ ⎤ Δθ( t) = ⎢ l ∫
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Alloy Components Weight Percent, [%
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Figure 8: Final results of the ther
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Figure 11: Preliminary results of t
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In case of the FeNi35, FeNi39 and F
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Experimental Methods Compressive st
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Type of mixture Water transport pro
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Thermal properties The thermal para
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Identification of Some Thermophysic
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Physical model of the direct proble
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2 ( λ − Bi) sin( λ) − 2λ Bic
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To calculate the sensitivity coeffi
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symmetry of the specimen when the t
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Figure 5: View of experimental setu
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During the inverse calculations the
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temperature dependence for the blac
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4. Conclusions The results of the t
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cross‐planar direction applying s
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3. Thermal diffusivity identificati
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Table 2: Effect of the convective h
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[2] BODZENTA, J.; BURAKA, B.; NOWAK
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doc. Ing. Jiří Vala, CSc. Brno Un
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