Upload
others
View
3
Download
0
Embed Size (px)
Citation preview
01/03/2010 HRI
Durable Design of Concrete
- Combined Deterioration -
Osamu KATSURA
Madoka TANIGUCHI
Chiemi IBA
Hokkaido Northern Regional Building Research Institute
01/03/2010 HRI
The aim through the period
Method to predict progress of the combined deterioration
Durable design method
assuming the premeditated maintenance and repair
Our researchOur research
1. Estimate of humidity distribution in concrete from
weather observation data
2. Prediction of Combined deterioration
・ Deteriorations which decrease strength and elasticity
Frost damage, Fatigue makes many micro cracks
・ Deterioration by the material migration
Salt attack, Carbonation is accelerated by micro cracks
01/03/2010 HRI
Our study in first year
1.Estimation of humidity in concrete.
・ Simulation
Heat and moisture transfer, Adsorption isotherm
An environmental condition
・ Experiment (in winter)・ Experiment (in winter)
Temperature and humidity in concrete
Wetting on the surface
Weather observation data
2. Observation and measuring of micro cracks
Frost damage and fatigue
micro crack length as a common index
01/03/2010 HRI
ESTIMATION OF HUMIDITY IN CONCRETE
Numerical Simulation of Heat and Moisture Transport�Simultaneous heat and moisture transport equations considering
freezing – thawing process
�Calculation using meteorological data and material properties
Measurement of
Moisture Condition
�Wall Model
(150mm thick)
�Column Model
(800mm Cube)
�Surface Wetting
Measurement of
Material Properties
�Adsorption Isotherm
�Other properties from
reference book*(*IEA ANNEX24 Task3 report)
Reference of
Meteorological data �Measured data in HRI,
Asahikawa.
�Climate Statistics data
from Meteorological
Agency
�Expanded AMeDAS
Weather data
Input InputVerification
01/03/2010 HRI
� The temperature and the relative humidity
distribution inside concrete are measured
and recorded at intervals of 1 hour.
� Measured data are used to verify the
numerical simulation.
MEASUREMENT OF TEMPERATURE & HUMIDITY
INSIDE CONCRETE WALL UNDER CLIMATIC CONDITION
Wall Model (150mm thick)
numerical simulation.
40mm
7mm
Temperature & Humidity Logger
(Button battery type)
Measurement point:
3mm, 5mm, 8mm, 12mm, 25mm, 50mm
from outer surface
Assume
1-dimensional
moisture transfer
150mm thick concrete wall
100φ core
Aluminum
Foil TapeImpermeable to
water and vapor
01/03/2010 HRI
� The temperature and humidity sensors were installed before casting
concrete.
� From measured results in this experiment and in the wall model
experiment, the better measuring method is examined.
Column Model (800mm cube)
MEASUREMENT OF TEMPERATURE & HUMIDITY
INSIDE CONCRETE WALL UNDER CLIMATIC CONDITION
� Measured data are also used to verify the numerical simulation.slope
800mm
800mm
800mm
�Measuring points
→ along --- line
Placed under climatic condition
3mm 5mm 8mm 12mm 25mm
50mm
400mm(center)
Rainwater
01/03/2010 HRI
� Wetness sensor detects if liquid water exists on the surface or not.
� The surface temperature are measured along with the wetness
measurement, and thus it can be confirmed whether freezing occurs
or not .
MEASUREMENT OF SURFACE WETNESS
UNDER CLIMATIC CONDITION
Electroconductive paint
Wet surface → Electric resistance decrease
01/03/2010 HRI
Meteorological data:Outdoor temperature, Humidity, Solar radiation, Precipitation… Water content distribution
inside concrete wall
NUMERICAL SIMULATION OF
HEAT AND MOISTURE TRANSPORT
Input
Output:Time profile and Distribution of
Temperature, Humidity, Water content…
Outline of Calculation
Material properties:Isotherm, Thermal conductivity, Moisture permeability… Frequency of freezing
Input
01/03/2010 HRI
Relative
humidity[%]Solution
Dry LiCl Lithium chloride
33% MgCl2・6H2O Magnesium chloride 6-Hydrate
53% Mg(NO3)2・6H2O Magnesium nitrate 6-Hydrate
75% NaCl Sodium chloride
MEASUREMENT OF MATERIAL PROPERTIES
at 20℃Adsorption Isotherm
( )[ ]553752.1 17.0exp1443.0 hhψ −−=
Specimen
3mm-thick concrete
75% NaCl Sodium chloride
85% KCl Potassium chloride
94% KNO3 Potassium nitrate
98% K2SO4 Potassium sulphate
100% water absorption for 48 hours
Equipment
01/03/2010 HRI
NUMERICAL SIMULATION OF
HEAT AND MOISTURE TRANSPORT
� The equations for simultaneous heat and moisture transfer considering
freezing and thawing processes are used. (Gao 1992, Matsumoto et al. 1993).
(i,j-1)
X
Y
Q (i,j), J (i,j)
Δx1 Δx2
Control volume
( ) ( ){ }t
Tt
ii
lgTg
ll
∂
∂−∇′+′⋅∇+∇′⋅∇=
∂
∂ ψρµλλλ
ψρµµ
●Moisture balance
Basic equations
(i,j) (i-1,j) (i+1,j)
(i,j+1)
QX(i,j), JX(i,j) QX(i+1,j), JX(i+1,j)
QY(i,j), JY(i,j)
QX(i,j+1), JX(i,j+1)
T(i,j), µ(i,j), ψl(i,j) , ψi(i,j)
Δy1
Δy2
1-dimentional or 2-dimentional
calculation
●Energy balance
( ) ( ) ( ){ }t
HTHTt
Tc ii
ligTggl ∂
∂+∇′⋅∇+∇′⋅∇+∇⋅∇=
∂
∂ ψρµλλλρψ µ
●Freezing condition
=
oeli TTH logµ
T = absolute temperature [K]; T0 = freezing temperature of free water (=273.16) [K]; c = specific heat [J/kgK]; t = time [s];
λ = thermal conductivity [W/mK]; ρ = density [kg/m3]; Ψ = moisture content [m3/m3];
µ = water chemical potential (free water standard) [J/kg]; λ’T = moisture conductivity by temperature difference [kg/msK];
λ’µ = moisture conductivity by water chemical potential difference [kg/ms(J/kg)]
Subscript w = water; s = solid; g = gas; l = liquid; i = ice
01/03/2010 HRI
� The calculation is conducted for the column model using the weather data
measured in Asahikawa.
� The calculation period starts on November 24,2009.
� Initial relative humidity is set at 99.9%
NUMERICAL SIMULATION OF
HEAT AND MOISTURE TRANSPORT
Calculation Conditions & Results
Colum Model
Now working on…
Initial relative humidity is set at 99.9%
(nearly saturated).
Colum Model
center
1-Dimentional
heat and moisture
transfer
400mm
400mm
South
In Laboratory
Outside
3mm 25mm 400mm
01/03/2010 HRI
NUMERICAL SIMULATION OF
HEAT AND MOISTURE TRANSPORT
Calculation Results
Temperature
CalculationExperimentTime profile
3mm 25mm 400mm
Relative humidity
3mm 25mm 400mm
01/03/2010 HRI
PREDICTION OF COMBINED DETERIORATION
Degradation of
material propertyFor example…
Strength/Stiffness
Factor of Deterioration
Frost Damage
and so on…
Carbonation depth
time
damaged
time
damagedShrinkage
Fatigue Loading
Thermal stress
And so on…
Micro crack
01/03/2010 HRI
OBJECTIVE
Using a common index
1.Evaluate the deterioration level
caused by freezing and thawing or
Micro crack in
concrete
observed with
microscope
caused by freezing and thawing or
fatigue loading
2.Relate deterioration level to the
degradation of permeability
01/03/2010 HRI
EXPERIMENTAL PLAN
Observation and measuring of micro cracks caused by
frost damage and fatigue loadingRelation between energy and crack
Comparison of micro crack with different cause
Phase 1
Phase 2
Degradation of strength and stiffnessStrength: External work, micro crack length and strength and stiffness
Frost damage: micro crack length, damage level and strength and
stiffness
Phase 2
Degradation by combined effect of deterioration factorsFrost damage and carbonation
Fatigue loading and carbonation
Phase 3
We can predict progress of the combined deterioration
01/03/2010 HRIPHASE 1OBSERVATION AND MEASURING OF MICRO CRACKS
CAUSED BY FROST DAMAGE AND FATIGUE LOADING
� Does the crack that we detected become
the index? � Relation between energy and crack
• Micro Cracks caused by Fatigue Loading
• It is examined that relation between external works and the crack
length.
� Comparison of micro crack with different cause
• Micro Cracks caused by Frost Damage or Fatigue loading
• The damage level and the form of the crack are examined.
01/03/2010 HRI
PHASE 1EXPERIMENTAL WORK
� Micro Cracks by Loading� W/C=0.48 Ordinary Portland cement concrete
� Concrete cylinder was loaded in uniaxial compression. It
was single loading. Stress-strain curve was obtained.
� The nominal level of compressive stress on each
cylinder was targeted for 0,40,60,80,100% of the
maximum compressive strength.
� The cylinder was cut at ½ height,
and the micro crack was observed.
01/03/2010 HRI
PHASE 1EXPERIMENTAL WORK
� Micro Cracks by freezing and thawing� W/C=0.48 Ordinary Portland cement concrete
� Freezing and thawing test: ASTMC666A,B
(JISA1148A,B) and CIF test
� Relative dynamic modulus of elasticity 80,70,60%
� The micro crack was observed at each damaged level.
01/03/2010 HRI
� Sample preparation� Cut with the diamond saw. Grind and polish the surface. The
fluorescent paint is painted and soaked. Exessive paints are
polished and removed.
� Microscopic Instruments
PHASE 1DETECTION OF MICROCRACKS IN CONCRETE
� Microscopic Instruments� Nikon Stereoscopic Zoom Microscope SMZ1000 and sony digital
camera mounted on the microscope were used. Magnification is
between about x10~x300.Uitraviolet light was used.
01/03/2010 HRI
PHASE 1DETECTION OF MICROCRACKS IN CONCRETE
� Micro crack Quantification� The whole of the sample was
divided into the grid, and it was
taken a picture. This has been
expanded to almost 100 times. The
size in one grid was 7x4mm. The
number of all images is about 300.
� Using the image analysis software
Image-pro PLUSTM ver.4.5.1 by
Media cybernetics.
×100
1mm
7mm
4m
m
01/03/2010 HRI
PHASE 1DETECTION OF MICROCRACKS IN CONCRETE
01/03/2010 HRI
01/03/2010 HRI
MEASUREMENT OF SURFACE WETNESS
UNDER CLIMATIC CONDITION
01/03/2010 HRIMeasurement of Surface Wetness
Column model -December
01/03/2010 HRIMeasurement of Surface Wetness
Column model -January
01/03/2010 HRI
� The functions of respective material properties used in the calculation are obtained by approximating the measured data.
Isotherm Moisture permeability
NUMERICAL ANALYSIS OF
HEAT AND MOISTURE TRANSPORT
Material Properties: Isotherm, Moisture transport coefficient, Thermal conductivity…
( )[ ]553752.1 17.0exp1443.0 hhψ −−= ( ) 78 1044.130870arctan1035.9 −− ×+−×= ψDψ( )[ ]
01/03/2010 HRI
NUMERICAL ANALYSIS OF
HEAT AND MOISTURE TRANSPORT
Calculation Results
Temperature
Calculation ExperimentTim profile
3mm 12mm 400mm5mm 25mm 50mm8mm
01/03/2010 HRI
NUMERICAL ANALYSIS OF
HEAT AND MOISTURE TRANSPORTCalculation Results
Temperature (26-Nov ~ 30-Nov)
Correlation diagram
3mm 12mm5mm
25mm 50mm 400mm
01/03/2010 HRI
NUMERICAL ANALYSIS OF
HEAT AND MOISTURE TRANSPORT
Calculation Results
Relative humidity
Calculation ExperimentTim profile
3mm 12mm 400mm5mm 25mm 50mm8mm
01/03/2010 HRI
Relative humidity (26-Nov ~ 30-Nov)
NUMERICAL ANALYSIS OF
HEAT AND MOISTURE TRANSPORTCalculation Results Correlation diagram
3mm 12mm5mm
25mm 50mm 400mm