When foundations are uncovered during a construction project, the foundation load capacity is often found not to correspond with the prescribed limit values in the project’s documentation after being compared with a given deformation module. This is often the result of a corresponding geological survey not having been conducted satisfactorily according to the given construction project’s surface area. The most common method of stabilizing bedrock, i.e. increasing the deformation module value, is lime stabilization. This method represents a suitable technical solution for modifying foundation layers, especially from an economic perspective. However, this modification method may not necessarily represent a suitable technical solution because of either the heterogeneity of underlying layers or the existence of fluctuating groundwater levels at the construction site, which can, when the final work is used, affect the mechanical and physical characteristics of the already stabilized bedrock layer.
Many construction projects today are planned and managed using computer technology. An integral part of the management of these projects is sophisticated software, which includes statistical probabilistic methods. The main task in this area is direct verification of the validity of planned labour productivity values during the construction process according to the recorded average performance values. Using selected statistical methods and analyses, a case study can document this type of undertaking, for example, in a selected masonry process in which the upper and lower limits of performance, i.e. the optimistic and pessimistic bounds, may be calculated with 95% probability. Evaluation of these performance parameters in the construction software used for this study showed a difference in time of 11 days at the end of the process. The figures indicated a 9.6% and 14.3% decrease in labour productivity, respectively, for the optimistic and pessimistic values compared to the construction software ’ s planned values. Repeated evaluation of performance can aid in improving labour productivity and attaining project milestones and subsequent construction deadlines during the construction process. This paper aims to confirm or refute this theoretical balance using probabilistic statistical methods and to emphasize the importance of statistical analysis in the real construction process with the use of the software.
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