Abstract:
The estimation of concrete pavement productivity is intricate because of several factors, such as the available working width and length, the concrete layer thickness, the construction methodology, automation capabilities and the working conditions. This
study intends to assess the productivity of the concrete pavement operations
by taking into consideration the e¦ect of the above factors using
the regression analysis technique. In regression models, one dependent
variable (productivity) is considered against several independent variables
(width, length, working conditions, health & safety level). Direct
observation, site visits and video recording of actual concrete pavement
activities on a construction site over a period of four months has been
used for data collection. The regression relationships are plotted, so as
to derive empirical nomographs and correction coefficients which can
be used to adjust actual productivity against theoretical baselines. In
this sense, process-oriented estimation methodologies for specific construction
operations can be developed, by which each factor’s contribution
to productivity can be estimated. The results indicate that a larger
working area increases productivity for a given concrete layer thickness.
The estimated correction factors fit the actual measurements in a statistically
significant fashion, however their predictive capability is expected
to improve as the study sample increases.
Keywords:
Concrete paving, Cost,
Model, Productivity,
Regression
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