D3 (A7) Pauli Sekki - Moisture management of concrete floors: From drying time estimation to moisture risk estimation and quality control.pptx

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1) The document discusses moisture management of concrete floors, including estimating drying times and long-term moisture risk levels below flooring materials. 2) It introduces the BY2020 tool, which uses FEM simulations to model moisture in different concrete floor structures and estimate drying times and future relative humidity levels for common flooring materials. 3) An example application is presented where drying time and moisture risks are estimated for a concrete slab with different vapor-tight flooring materials. Field validation has shown BY2020 provides generally conservative risk assessments.

Science

Moisture management of
concrete floors:
From drying time estimation to
moisture risk estimation and quality
control
XXIV Nordic Concrete Research Symposium
19th August 2022
Pauli Sekki, Vahanen Building Physics (part of AFRY)
Pasi Marttila, PAJU Applications

Why we are interested in moisture
management of concrete floors?
ammoniakki VOC formaldehydi
MVOC
Kosteuden aiheuttamat ongelmat
95% RH
20° C
päällystemateriaalivauriot
•näkyvät vauriot
•emissiot
TVOC
TVOC
mikrobivauriot
mikrobivauriot
Pauli Sekki, NCR 2022 2(12)
19.8.2022

Moisture in
concrete floors?
1. Dryig ability of the structure
2. Concrete grade – self-desiccation
3. Drying conditions – humidity
distribution before coating
4. Moisture risk – long-term
humidity distribution after
coating?
Vapor open material
l l l RH
70 80 90
Vapor tight material
l l l RH
70 80 90
Dry … Wetted
l l l RH
70 80 90
Self-desiccation
l l l RH
80 90 100
Pauli Sekki, NCR 2022 3(12)
19.8.2022

19.8.2022 Pauli Sekki, NCR 2022 4(12)
By2020 – tool for drying time and moisture
risk estimations
• FEM-based with COMSOL Multiphysics
simulation environment with build-in
Application Builder tools
• Most common concrete floor structures
• Concrete grades w/b 0,45…0,75
(self-desiccation included)
• Leveling compound
• SD-value of the floor covering material
• Exterior climate data
• Wetting during building
• Average drying conditions
• Scheduled structural layers
• Reporting measurements comparing to the
estimation

BY2020
Drying time estimations
When the set criteria is achieved?
Moisture risk estimation
What is the RH under the flooring
material in longer period with
certain construction time table?
Carpet + glue (in 180 days)
Leveling (in 170 days)

Example
• 100 mm thick slab on ground, no
screed, FC3 (w/b 0,6)
• city: Rovaniemi
• casting date: September 10th,
wetting period 7-30 days from
casting the concrete
• drying period starts: 90 days from
casting the concrete
• drying conditions: 18 °C and 60 %
RH, simulation period: 3*365 days
• criteria for A: 85 % RH
19.8.2022 Pauli Sekki, NCR 2022 7(12)
 Drying time = 225 days

Example continues
Moisture risk estimation with
different SD-values
• Plastic flooring (glued) with 10 mm
levelling.
1. SD = 10 m
2. SD = 20 m
3. SD = 50 m
4. SD = 100 m
19.8.2022 Pauli Sekki, NCR 2022 8(12)
100
50 75

Plastic flooring (glued) with 10 mm leveling in 225 days and coating in 225 + 14 days.
19.8.2022 Pauli Sekki, NCR 2022 9(12)
SD = 100 m
Max. RH ~ 85 %
SD = 50 m
Max. RH ~ 84.5 %
SD = 20 m
Max. RH ~ 83 %
SD = 10 m
Max. RH ~ 81 %

Calibration and validation
of the tool
• Calibration of the model was
made with two sets of three
different concrete grades. Data
still to be published.
• Some test data of have been
published.
1. Highest RH value after installation
compares well.
2. Modelled result would give a
correct risk assessment in these
cases.
3. Modelled result is on the safe side.
70 mm =
blue box and
blue line.
28 mm =
green square
and green line.
surface =
red circle and
red line.
Asterisk
the ambient
RH during
measurements
P Sekki, et al. (2022). Study of moisture risk assessment and material emissions of
plastic carpets on concrete floor, Indoor air (Conference Proceedings will be published)

By2020 in practice
• Numerous contractors and desiners use the tool.
• Feedback from field have been positive.
• Most of the users only make drying time estimations.
• Hopefully the moisture risk estimations become more common, when
users get more experienced.
• Gathering the field measurement data next to by2020 estimations
would give a good chance to get better estimations in future - the
activity of contractors is needed.
Pauli Sekki, NCR 2022 11(12)
19.8.2022

However, the data from field should be
collected under controlled conditions!
19.8.2022 Pauli Sekki, NCR 2022 12(12)

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