Our observational method

9 out of 10 construction projects experience cost overruns, where uncertain ground conditions constitute a key risk factor. We have conceived the following workflow that leverages an approach to reduce ground uncertainty in engineering projects via an end-to-end management and analysis of all the ground info:

1. Conceptual model based on realistic 饾棽饾榾饾榿饾椂饾椇饾棶饾榿饾棽饾榾 饾椉饾棾 饾棿饾椏饾椉饾槀饾椈饾棻 饾棷饾棽饾椀饾棶饾槂饾椂饾椉饾椏 in the project area.

2. 饾棪饾棽饾椈饾榾饾椂饾榿饾椂饾槂饾椂饾榿饾槅 饾棶饾椈饾棶饾椆饾槅饾榾饾椂饾榾 饾椉饾棾 饾棸饾椉饾椈饾棸饾棽饾椊饾榿 饾棻饾棽饾榾饾椂饾棿饾椈饾榾 under different design and ground behavior scenarios.

3. Selection of 饾椌饾槀饾棶饾椈饾榿饾椂饾榿饾椂饾棽饾榾 饾榿饾椉 饾棷饾棽 饾椇饾棽饾棶饾榾饾槀饾椏饾棽饾棻 and their predictions. Definition of course of action according to the observed ground behavior quantities.

4. 饾棩饾棽饾棶饾椆-饾榿饾椂饾椇饾棽 饾棶饾槀饾榿饾椉饾椇饾棶饾榿饾椂饾棸 饾棷饾棶饾棸饾椄-饾棶饾椈饾棶饾椆饾槅饾榾饾椂饾榾 of the measured quantities to assess the parameters that characterize real ground behavior and obtain a calibrated model.

5. 饾棪饾棽饾椆饾棽饾棸饾榿饾椂饾椉饾椈 饾椉饾棾 饾棶 饾椈饾棽饾槃 饾棶饾棸饾榿饾椂饾椉饾椈 饾椉饾椏 饾棻饾棽饾榾饾椂饾棿饾椈 饾椇饾椉饾棻饾椂饾棾饾椂饾棸饾棶饾榿饾椂饾椉饾椈 饾棷饾棶饾榾饾棽饾棻 饾椉饾椈 饾榿饾椀饾棽 饾槀饾椊饾棻饾棶饾榿饾棽饾棻 饾棿饾椏饾椉饾槀饾椈饾棻 饾棸饾椉饾椈饾棻饾椂饾榿饾椂饾椉饾椈饾榾.

6. At each construction phase new predictions are obtained based on the updated parameters to be compared to the observations. This has a cost, delivery time and safety impact.

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