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PHASE II REPORT - Caltrans

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These levels will be far enough apart for the estimated coefficients to be precise, but close<br />

enough for the linear model to provide a reasonable fit, two conflicting requirements.<br />

Following are the planned experiment designs for each test method:<br />

• AMT Mixing Test<br />

• CAT Short Term Test<br />

• ACT Test<br />

5.3.1 AMT Test<br />

For this test, the condition variables are:<br />

• X1 - Filler Proportion<br />

• X2 - Additive Proportion<br />

• X3 - Water Content<br />

• X4 - Emulsion Content<br />

• X5 - Temperature<br />

• X6 - Humidity<br />

With six condition variables, a Plackett-Burman design with three replications will be a good<br />

choice. If the replications are assumed to be run in 3 blocks, there will be 12 degrees of<br />

freedom for the estimation of the standard deviation of the measurements and this should<br />

provide the precision in the estimates of the parameters in the model as well as for their<br />

standard deviations.<br />

A Plackett-Burman design for the six condition variables associated with this test method is<br />

given below.<br />

80

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