journal article·2025-02-04Open access

Systematic and Quantitative Assessment of Reduced Model Resolution on the Transient Structural Response Under Wind Load

Anoop Kodakkal, Máté Péntek, Kai-Uwe Bletzinger, Roland Wüchner, Felix Weber

Applied Sciences· Volume 15· Issue 3

Abstract

The wind-induced response of structures is typically studied in wind tunnels either on scaled models or using numerical approaches under similar transient load conditions. In early design phases—where the potential for impactful change is most significant—information is often limited. As a result, studies are frequently conducted on simplified or reduced-resolution structural models. Typical applications for dimensionally reduced engineering models include early design phases, deciding on the need for high-fidelity analyses, and verifying wind tunnel models, which are often constructed using beams with lumped masses. In this contribution, the validity of these approaches is tested. Various limitations intrinsically arising from such modeling assumptions, showcased on a generic high-rise under dynamic wind load conditions, are highlighted. The systematic parametric analysis focuses on the variations in transient structural responses, particularly displacement and accelerations at the top of a building. Various wind loading cases are studied, with the reduction of the resolution taking place either in the original or in modal space. Results indicate that a considerable reduction is possible, but characteristic design values tend to deteriorate in cases of a high reduction, particularly when higher mode contributions are truncated. It is observed that the top-floor acceleration and displacement can be captured with considerable accuracy with three lumped masses for tall buildings. It is critical to study the impact of simplifying models starting at the highest level of detail possible. Here, a three-DoF model was able to capture the displacement up to a deviation of 11% and accelerations up to 20%. These approximate models are useful for initial design stages, optimization, uncertainty quantification, etc., where fast, cheap, and moderately accurate model evaluations are necessary.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Wind and Air Flow Studies · Structural Health Monitoring Techniques · Fluid Dynamics and Vibration Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Lehrstuhl für Statik und Dynamik, Technische Universität München, Arcistr. 21, 80333 Munich, Germany

Maurer Switzerland GmbH, Grossplatzstraße 24, 8118 Pfaffhausen, Switzerland

References (29)

Show source-provided references
1. 50 years of Computational Wind Engineering: Past, present and future10.1016/j.jweia.2014.03.008 ↗
2. Characteristics of unsteady aerodynamic forces on an aeroelastic prism: A comparative study10.1016/j.jweia.2020.104325 ↗
3. Investigation on the unstability of vortex induced resonance of high-rise buildings10.1016/j.jweia.2018.01.025 ↗
4. Improved expression for across-wind aerodynamic damping ratios of super high-rise buildings10.1016/j.jweia.2018.04.001 ↗
5. Aeroelastic and aerodynamic interference effects on a high-rise building10.1016/j.jfluidstructs.2017.01.007 ↗
6. LES evaluation of wind-induced responses for an isolated and a surrounded tall building10.1016/j.engstruct.2016.02.026 ↗
7. Numerical evaluation of wind effects on a tall steel building by CFD10.1016/j.jcsr.2006.06.033 ↗
8. Numerical investigation of scale resolved turbulence models (LES, ELES and DDES) in the assessment of wind effects on supertall structures10.1016/j.jobe.2019.100842 ↗
9. Comparison of Reynolds Averaging Navier-Stokes (RANS) turbulent models in predicting wind pressure on tall buildings10.1016/j.jobe.2018.09.021 ↗
10. International Association for Wind Engineering (2024, November 02). Benchmark Buildings for an International HFBB Comparison. Available online: https://www.iawe.org/committees/HFBB-spec.pdf.
11. Holmes, J., and Tse, T. (2012, January 26–29). International high-frequency base balance benchmark study. Proceedings of the 2012 World Congress on Advances in Civil, Environmental, and Materials Research (ACEM’ 12), Seoul, Republic of Korea.
12. (2024, November 02). Kratos Multiphysics Development Team Kratos Multiphysics—Open-Source Framework for Multiphysics Simulations. Available online: https://github.com/KratosMultiphysics/Kratos.
13. Migration of a generic multi-physics framework to HPC environments10.1016/j.compfluid.2012.02.004 ↗
14. An object-oriented environment for developing finite element codes for multi-disciplinary applications10.1007/s11831-010-9045-2 ↗
15. A FIC-based stabilized finite element formulation for turbulent flows10.1016/j.cma.2016.11.020 ↗
16. A multiply-partitioned methodology for fully-coupled computational wind-structure interaction simulation considering the inclusion of arbitrary added mass dampers10.1016/j.jweia.2018.03.010 ↗
17. Kareem, A., and Tamura, A. (2015). Advanced Structural Wind Engineering, Springer.
18. Inlet conditions for large eddy simulation: A review10.1016/j.compfluid.2009.10.007 ↗
19. Review of computational fluid dynamics for wind turbine wake aerodynamics10.1002/we.458 ↗
20. Inflow turbulence generation methods10.1146/annurev-fluid-010816-060322 ↗
21. The spatial structure of neutral atmospheric surface-layer turbulence10.1017/S0022112094001886 ↗
22. Wind field simulation10.1016/S0266-8920(97)00036-2 ↗
23. IEC (2005). Wind Turbines–Part 1: Design Requirements, International Electrotechnical Commission.
24. Validation of the computational fluid-structure interaction simulation at real-scale tests of a flexible 29m umbrella in natural wind flow10.1016/j.jweia.2010.12.010 ↗
25. Numerical simulation of wind loads on a parabolic trough solar collector using lattice Boltzmann and finite element methods10.1016/j.jweia.2015.08.010 ↗
26. On turbulence models and lidar measurements for wind turbine control10.5194/wes-6-1491-2021 ↗
27. An analytical model for dynamic response analysis of tubular tall buildings10.1002/tal.1039 ↗
28. Pentek, M., Kodakkal, A., and Contributors (2025, January 10). ParOptBeam: A Parametric Optimizable Beam Model for Structural Analysis. Available online: https://github.com/mpentek/ParOptBeam.
29. Krenk, S. (2009). Non-Linear Modeling and Analysis of Solids and Structures, Cambridge University Press.10.1017/CBO9780511812163 ↗