MATEC Web Conf.
Volume 258, 2019International Conference on Sustainable Civil Engineering Structures and Construction Materials (SCESCM 2018)
|Number of page(s)||7|
|Section||Construction Management, Construction Method and System, Optimization and Innovation in Structural Design|
|Published online||25 January 2019|
Material quantity estimation modelling of bridge sub- substructure using regression analysis
1 Department of Public Works Sleman District, Yogyakarta, Indonesia
2 Department of Civil Engineering and Environment, Gadjah Mada University, Yogyakarta, Indonesia
* Corresponding author: firstname.lastname@example.org
In construction field, a time completion and an adherence to budget are two factors that mainly influence the successful of the projects. The adherence to the budget can be achieved when the estimated budget is closed to the actual cost. For the owners, cost estimation is necessary as a guidance in determining the amount of investment. Therefore, it is very important to know the estimation of the project cost by using the limited data before the detailed plans and specifications of the project are identified. However, in the case of bridge substructure preliminary cost estimation, there is a lack information about material quantity estimation models due to the difficulties of soil characteristic and hydrological conditions. Hence, this research aims to develop the estimation of material quantity models of the abutment and caisson of bridge, with the Presetressed Concrete I-Girder (PCI Girder) superstructure located in Sleman district, Yogyakarta province, Indonesia. The database used for developing model was obtained by conducting sub-structure structural analysis of 15 abutments and 45 caissons. The bridges have a various span length, abutment height, and caisson depth. Material quantity estimation models were analysed by the multiple regression analysis methods. The span length and the abutment height are determined as independent variables to predict the concrete volume, the reinforcing steel weight, the caisson concrete volume, the cyclops concrete volume and the caisson reinforcing steel weight. This research proposed 11 equation models to estimate the concrete volume and reinforcing steel weight of abutment and caisson.
© The Authors, published by EDP Sciences, 2019
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