The Estimation Modeling of Abutment Volume with Variations of Bridge Span, Abutment Height, and Seismic Zone

Dicky Rahadian Mahendra(1*), Andreas Triwiyono(2)

(1) Universitas Gadjah Mada
(2) Universitas Gadjah Mada
(*) Corresponding Author


The initial cost of a bridge project determined using an estimation model depends on the dimensions, types, and materials but only a few studies have included bridge location as a determinant variable. The inclusion of the location is, however, important due to the different seismic accelerations and seismic load analysis attached to it. Therefore, this study aimed to create a model to calculate the quantity of materials needed for the construction of abutment in different locations with a PCI-Girder superstructure. Moreover, the data used for the quantity estimation model was derived from the abutment design results and those associated with concrete and reinforcing steel quantities were based on the variations of the bridge span at 20 m, 25 m, 30 m, 35 m, and 40 m, abutment height at 4 m, 6 m, and 8 m, and seismic zone 1, 2, 3, and 4. Meanwhile, the volume estimation models were obtained through multiple linear regression analysis. The results showed a very strong correlation between the span of the bridge and the height of abutment with the dependent variables while the seismic zone was observed to have a strong correlation with the dependent variables but was unable to meet the linear regression assumptions. Therefore, the statistical analysis was conducted separately for each seismic zone and the data for abutment height was transformed from H into H2. This study developed 8 models with R2 values ranging between 0.983 – 0.997 and this means they were adequately designed to estimate abutment volumes with a PCI-Girder superstructure.


Abutment; Volume Estimation; I-Girder; Seismic Zone; Linear Regression.

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Alhusni, M. K., Triwiyono, A. & Irawati, I. S., 2019. Material quantity estimation modelling of bridge sub-substructure using regression analysis. MATEC Web of Conferences, 258, p. 02008.

American Association of State Highway and Transportation Officials, 2012. AASHTO LRFD Bridge Design Specifications. 6th ed. Washington, D.C.: AASHTO.

Badan Standarisasi Nasional, 2004. Perencanaan struktur beton untuk jembatan (RSNI T-12-2004). Jakarta: BSN.

Badan Standarisasi Nasional, 2016. Pembebanan untuk jembatan (SNI 1725:2016). Jakarta: BSN.

Badan Standarisasi Nasional, 2016. Perencanaan jembatan terhadap beban gempa (SNI 2833:2016). Jakarta: BSN.

Dimitriou, L., Marinelli, M. & Fragkakis, N., 2018. Early Bill-of-Quantities Estimation of Concrete Road Bridges: An Artificial Intelligence-Based Application. Public Works Management & Policy, 23(2), pp. 127-149.

Fragkakis, N., Lambropoulos, S. & Tsiambaos, G., 2011. Parametric Model for Conceptual Cost Estimation of Concrete Bridge Foundations. Journal of Infrastructure Systems, 17(2), pp. 66-74.

Fragkakis, N., Marinelli, M. & Lambropoulos, S., 2015. Preliminary cost estimate model for culverts. Procedia Engineering, 123, pp. 153-161.

Hollar, D. A. et al., 2013. Preliminary Engineering Cost Estimation Model for Bridge Projects. Journal of Construction Engineering and Management, 139(9), pp. 1259-1267.

Kim, B. S., 2011. The Approximate Cost Estimating Model for Railway Bridge Project in the Planning Phase Using CBR Method. KSCE Journal of Civil Engineering, 15(7), pp. 1149-1159.

Kim, G.-H., Shin, J.-M., Kim, S. & Shin, Y., 2013. Comparison of School Building Construction Costs Estimation Methods Using Regression Analysis, Neural Network, and Support Vector
 Machine. Journal of Building Construction and Planning Research, 1, pp. 1-7.

Mahamid, I., 2011. Early Cost Estimating for Road Construction Projects Using Multiple Regression Techniques. Construction Economics and Building, 11(4), pp. 87-101.

Oh, C. D., Park, C. & Kim, K. J., 2013. An Approximate Cost Estimation Model based on Standard Quantities of Steel Box Girder Bridge Substructure. KSCE Journal of Civil Engineering, 17(5), pp. 877-885.

PT. Basis Pancakarya, 2019. karet-bantalan-jembatan. [Online]  Available at: [Accessed October 2019].

PT. Wijaya Karya (WIKA BETON), 2019. product. [Online]  Available at: [Accessed October 2019].

Sugiyono, 2019. Statistika untuk Penelitian. Bandung: CV. ALFABETA.

Swei, O., Gregory, J. & Kirchain, R., 2017. Construction cost estimation: A parametric approach for better estimates of expected cost and variation. Transportation Research Part B, 101, pp. 295-305.

Williams, M. N., Grajales, C. A. G. & Kurkiewicz, D., 2013. Assumptions of Multiple Regression: Correcting Two Misconceptions. Practical Assessment, Research, and Evaluation (PARE), 18, p. Article 11.


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