Open Access Open Access  Restricted Access Subscription Access

Pile Strength Variation of a Bridge Abutment: A Case Study of SASEC Dhaka Sylhet Corridor Road Investment Project

Jahidur Rahman, Nilavo Bisaws, Sadia Afrin Anila

Abstract


Pile plays an important role in the foundation of bridge construction. The main purpose of piles in bridge construction is to transfer the structure's load from a low-bearing capacity soil layer to a high-bearing capacity soil layer. In this study, we have selected the Islamabad bridge as part of the SASEC Dhaka Sylhet Corridor Road Investment Project, package No. DS05. The bridge has two abutments: A1 and A2. Each abutment is supported by 30 piles that measure 24 meters in length and 1.2 meters in diameter. As all the piles were not cast together, some strength variation may occur from pile to pile. This study finds that, after 7,14 & 28 days, the strength variation of piles in the A1 abutment is around 3 to 28.2%, 3.8 to 26.2%, and 3 to 25.35%. Variations in the strength of piles may be attributed to the factors such as temperature, road traffic, and the distance between the batching plant and the construction site. This study also finds that, after 7 days, maximum piles have achieved their target strength, and after 28 days, they became almost double their target strength. This may have occurred due to the safety factors considered in the concrete mix design.


Full Text:

PDF

References


Hu, X., Assaad, R. H., & Hussein, M. (2024). Discovering key factors and causalities impacting bridge pile resistance using Ensemble Bayesian networks: A bridge infrastructure asset management system. Expert Systems with Applications, 238, 121677.

Fischer, J. M., & Amekudzi, A. (2011). Quality of life, sustainable civil infrastructure, and sustainable development: Strategically expanding choice. Journal of urban planning and development, 137(1), 39-48.

Popovics, S. (1998). Strength and related properties of concrete: a quantitative approach. John Wiley & Sons.

Lamond, J. F., & Pielert, J. H. (2006). Significance of tests and properties of concrete and concrete-making materials (Vol. 169). ASTM international.

Ni, H. G., & Wang, J. Z. (2000). Prediction of compressive strength of concrete by neural networks. Cement and Concrete Research, 30(8), 1245-1250.

Nguyen-Sy, T., Wakim, J., To, Q. D., Vu, M. N., Nguyen, T. D., & Nguyen, T. T. (2020). Predicting the compressive strength of concrete from its compositions and age using the extreme gradient boosting method. Construction and Building Materials, 260, 119757.

Kolias, S., & Georgiou, C. (2005). The effect of paste volume and of water content on the strength and water absorption of concrete. Cement and Concrete composites, 27(2), 211-216.


Refbacks

  • There are currently no refbacks.