Analytical and Numerical Modelling of Debris Impact Events on Columns
DOI:
https://doi.org/10.59490/jchs.2024.0034Keywords:
Debris, Impact, SDOF, MDOF, Dam-break wave, Extreme events, Numerical modelling, Structural responseAbstract
Post-disaster surveys of tsunamis have emphasized the need for an in-depth understanding of debris loading. Until now, empirical formulas used to estimate debris impact loads are based on single-degree-of-freedom (SDOF) models. However, the validity of these SDOF models to estimate debris impact loads has not been studied extensively. This study investigates the validity of using a SDOF model to predict debris impact forces by comparing its force response to experimental data and a multiple-degree-of-freedom (MDOF) model developed. Additionally, a comparative analysis was conducted to assess the provisions on debris impact loads in Chapter 6 of ASCE 7-22 against these alternative methods. The MDOF method was shown to model accurately the experimental force response data, while all other methods for estimating debris impact loads overestimated the force response in both magnitude and frequency. Furthermore, the impact loads generated by the MDOF model proved to be longer in duration but smaller in magnitude than loads generated using the SDOF model and Chapter 6 of ASCE 7-22.
In addition, a performant numerical model was developed to simulate single and multi-debris transport and impact loads on a column. The dynamic numerical model was developed within the general-purpose finite element program LS-DYNA. Inside this modelling framework, the Arbitrary Lagrangian-Eulerian (ALE) method was used to simulate dam-break wave generated debris impact loads onto the column. The model accurately replicated the water surface elevations, hydrodynamic forces, debris transport, and debris impact forces presented in Stolle et al. (2019) and Stolle et al. (2020b). The model’s ability to simulate debris impact events demonstrates its potential as a valuable tool for designing and evaluating critical infrastructure’s resilience against extreme coastal inundation events, such as tsunamis.
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Copyright (c) 2024 Patrick Joynt, Ioan Nistor, Dan Palermo, Jacob Stolle
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors declare that they have either created all material in the manuscript themselves, or have traceable permission from the copyright holder to use it in the present manuscript. They acknowledge that the manuscript will be placed on the JCHS website under the CC-BY 4.0 licence. They will retain copyright of the paper, and will remain fully liable for any breaches of copyright or other Intellectual Property violations arising from the manuscript.