Frequency Validation of PCI Bridge Loading from Experiment and Modelling
- DOI
- 10.2991/978-94-6463-475-4_28How to use a DOI?
- Keywords
- Natural Frequency; finite element; experiment
- Abstract
Since 1949, precast, prestressed concrete become the preferred composite material for bridge design and construction. Today, it remains the solution for bridge designers across the country. Before operated, a bridge needs to be loading test to ensure it can be function properly and safely. The test can be static and dynamic loaded and the quickest and general parameter to assess the bridge performance is the natural frequency of the bridge. The simplest theory is that linking the frequency against the mass or stiffness of the structure is not fully well estimated. The need of computer model using finite elements can be good solution to validate the experiment data. The results showed here that the 3D shell model was similar compared with experiment result. The difference was only 1.6%. Whereas, the grid-line model and theory were far away from the experiment with the difference between 76% to 85%.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Fikri Alami AU - Siti Nurul Khotimah PY - 2024 DA - 2024/08/02 TI - Frequency Validation of PCI Bridge Loading from Experiment and Modelling BT - Proceedings of the 1st International Conference on Industry Science Technology and Sustainability (IConISTS 2023) PB - Atlantis Press SP - 335 EP - 341 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-475-4_28 DO - 10.2991/978-94-6463-475-4_28 ID - Alami2024 ER -