Finite Element Analysis of Axial Compressive Performance of Coal Gangue Concrete-Filled Steel Tube Long Column
- DOI
- 10.2991/978-94-6463-726-7_34How to use a DOI?
- Keywords
- finite element analysis; coal gangue coarse aggregate; axial compression performance; long column
- Abstract
In order to enhance the utilization of coal gangue as solid waste, this study investigates the axial compression performance of medium-length columns composed of square steel tubes filled with coal gangue concrete. A finite element model was developed using ABAQUS software to analyze the impact of parameters such as coal gangue aggregate replacement ratio on the load-bearing capacity of the specimens. The results indicate that the compressive strength of coal gangue concrete and the steel content are key factors affecting axial load-bearing capacity. When the coal gangue aggregate replacement ratio increased from 0 to 100%, the reduction in axial load-bearing capacity of the specimens was within 9.9%. Therefore, the incorporation of coal gangue aggregate has a minimal impact on the load-bearing capacity and meets engineering requirements.
- Copyright
- © 2025 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 - Yue Pan PY - 2025 DA - 2025/06/13 TI - Finite Element Analysis of Axial Compressive Performance of Coal Gangue Concrete-Filled Steel Tube Long Column BT - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024) PB - Atlantis Press SP - 341 EP - 348 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-726-7_34 DO - 10.2991/978-94-6463-726-7_34 ID - Pan2025 ER -