Calmetrix I-Cal 8000 User Manual page 35

Compressive Strength Data can be entered manually, or can be copy-pasted from a spreadsheet
application such as Microsoft Excel by using "Paste CS(t)" (h)
The compressive strength data used should be for identical mixtures and cured at the same
temperature as in the calorimeter test. For example, if you used a standard mixture and conducted
a calorimetry test at 23°C, you would perform compressive strength testing on cubes or cylinders of
the same mixture, cured at 23°C.
For best results a minimum of 5 to 6 compressive strength data points at various ages should be
entered. In our example, we used 6 data points.
The left-hand graph window (m) displays the relationship between Energy and time (left axis) and
Compressive Strength over time (right axis).
The right hand graph window (n) displays the relationship between Energy and Compressive
Strength. A Power function is used as a default fit, but other models can be chosen from the "CS(E)
fit Type" drop down menu (k).
Equations corresponding to the curves that are displayed are shown in boxes (o) and (p).
Once finished you can Save your Model for this mixture by clicking on "Save Model" (q). You can
later use "Load Model" (r) to retrieve and edit any previously saved model.
Now you're ready to use the prediction tool
Once a model has been established for a given mixture, it can be used to predict compressive
strength of the same mixture by using only a calorimetry curve. This means that whenever you work
with the same mixture again in the future, you only need to perform a calorimetry test to infer
compressive strength. Hence, you can significantly cut back on physical compressive strength
testing, and you do not have to wait until you reach a given curing age to get an estimate of
compressive strength gain.
To use the prediction tool, proceed as follows:
1. Click on the "Data Analysis" tab.
2. Select the mix-specific model to use by clicking on the down arrow of the "Model" field (A), then
click on "Add Analysis Logs" (B) to select the calorimetry data for which you would like to predict
the strength development. You can add up to 8 calorimetry curves. I-Cal Strength will use the
average of al curves to infer compressive strength values.
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