ALE-VMS methods for wind-resistant design of long-span bridges

Helgedagsrud, Tore Andreas; Bazilevs, Yuri; Mathisen, Kjell Magne; Øiseth, Ole

doi:10.1016/j.jweia.2019.06.001

Cited by 29 publications

(5 citation statements)

References 61 publications

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“…Training mathematical models for estimating the system behaviour based on input-output data is called data-driven identification. Experimental data in an aerodynamic bridge setting are typically obtained via forced or free vibration wind tunnel tests [46][47][48] or computational fluid dynamics [49][50][51][52]. Figure 1 shows the bridge cross-section considered in this article at the model scale.…”

Section: Theory 11 Data-driven Identification In Bridge Aerodynamicsmentioning

confidence: 99%

Modelling nonlinear self-excited forces for bridge decks with regularised Volterra series models

Skyvulstad

Petersen

Argentini

et al. 2022

Preprint

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Volterra series models are considered an attractive approach for modelling nonlinear aerodynamic forces for bridge decks since they extend the convolution integral to higher dimensions. Optimal identification of nonlinear systems is a challenging task since there are typically many unknown variables that need to be determined, and it is vital to avoid overfitting. Several methods exist for identifying Volterra kernels from experimental data, but a large class of them put restrictions on the system inputs, making them infeasible for section model tests of bridge decks. A least-squares identification method does not restrict the inputs, but the identified model often struggles with noisy (non-smooth) kernels, which is deemed to be unphysical and a sign of overfitting. In this work, regularised least-squares identification is introduced to improve the performance of model identification using least-squares. Standard Tikhonov regularisation and other penalty techniques that impose decaying kernels are also explored. The performance of the methodology is studied using experimental data from wind tunnel tests of a twin deck section. The regularised Volterra models show equal or better results in terms of modelling the self-excited forces, and the regularisation makes the models less prone to overfitting.

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Section: Theory 11 Data-driven Identification In Bridge Aerodynamicsmentioning

confidence: 99%

Modelling nonlinear self-excited forces for bridge decks with regularised Volterra series models

Skyvulstad

Petersen

Argentini

et al. 2022

Preprint

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“…The separation of these vortices generates periodic aerodynamic forces on upper and lower surfaces of the bridge girder which will constantly move the girder in the vertical direction. Helgedagsrud et al [76] suggested that the study of VIVs and flutter instability are interdependent. For instance, twin-box girders are a new type of bridge girder designed to suppress flutter by increasing the critical flutter speed.…”

Section: Wind Tunnel Studies Of Vortex-induced Vibrationsmentioning

confidence: 99%

“…Further future studies that consider incident turbulence will provide greater insights into the application of LESs in this area. Helgedagsrud et al [76] simulated the formation of a VIV on a streamlined box girder. The simulations were based on the ALE-VMS method in which turbulence was computed using a multiscale approach similar to the LES method.…”

Section: (1) Investigations Of Factors That Affect Vivsmentioning

confidence: 99%

Wind-Induced Phenomena in Long-Span Cable-Supported Bridges: A Comparative Review of Wind Tunnel Tests and Computational Fluid Dynamics Modelling

2021

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Engineers, architects, planners and designers must carefully consider the effects of wind in their work. Due to their slender and flexible nature, long-span bridges can often experience vibrations due to the wind, and so the careful analysis of wind effects is paramount. Traditionally, wind tunnel tests have been the preferred method of conducting bridge wind analysis. In recent times, owing to improved computational power, computational fluid dynamics simulations are coming to the fore as viable means of analysing wind effects on bridges. The focus of this paper is on long-span cable-supported bridges. Wind issues in long-span cable-supported bridges can include flutter, vortex-induced vibrations and rain–wind-induced vibrations. This paper presents a state-of-the-art review of research on the use of wind tunnel tests and computational fluid dynamics modelling of these wind issues on long-span bridges.

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“…The classes of problems computed with the ALE-SUPS, RBVMS, and ALE-VMS include wind turbines , turbomachinery [60][61][62][63][64][65][66], stratified flows [67,68], bridges [69][70][71][72][73], marine applications [74][75][76], free-surface flows [77][78][79][80][81], two-phase flows [82][83][84][85][86][87][88], additive manufacturing [89], aircraft applications [90,91], hypersonic flows [92], parachutes [33], cardiovascular medicine [34,[93][94][95][96][97][98][99][100][101][102][103][104][105][106], mixed ALE-VMS immersogeometric analysis ...…”

Section: Introductionmentioning

confidence: 99%

High-resolution multi-domain space–time isogeometric analysis of car and tire aerodynamics with road contact and tire deformation and rotation

Kuraishi

Takizawa

et al. 2022

Comput Mech

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We are presenting high-resolution space–time (ST) isogeometric analysis of car and tire aerodynamics with near-actual tire geometry, road contact, and tire deformation and rotation. The focus in the high-resolution computation is on the tire aerodynamics. The high resolution is not only in space but also in time. The influence of the aerodynamics of the car body comes, in the framework of the Multidomain Method (MDM), from the global computation with near-actual car body and tire geometries, carried out earlier with a reasonable mesh resolution. The high-resolution local computation, carried out for the left set of tires, takes place in a nested MDM sequence over three subdomains. The first subdomain contains the front tire. The second subdomain, with the inflow velocity from the first subdomain, is for the front-tire wake flow. The third subdomain, with the inflow velocity from the second subdomain, contains the rear tire. All other boundary conditions for the three subdomains are extracted from the global computation. The full computational framework is made of the ST Variational Multiscale (ST-VMS) method, ST Slip Interface (ST-SI) and ST Topology Change (ST-TC) methods, ST Isogeometric Analysis (ST-IGA), integrated combinations of these ST methods, element-based mesh relaxation (EBMR), methods for calculating the stabilization parameters and related element lengths targeting IGA discretization, Complex-Geometry IGA Mesh Generation (CGIMG) method, MDM, and the “ST-C” data compression. Except for the last three, these methods were used also in the global computation, and they are playing the same role in the local computation. The ST-TC, for example, as in the global computation, is making the ST moving-mesh computation possible even with contact between the tire and the road, thus enabling high-resolution flow representation near the tire. The CGIMG is making the IGA mesh generation for the complex geometries less arduous. The MDM is reducing the computational cost by focusing the high-resolution locally to where it is needed and also by breaking the local computation into its consecutive portions. The ST-C data compression is making the storage of the data from the global computation less burdensome. The car and tire aerodynamics computation we present shows the effectiveness of the high-resolution computational analysis framework we have built for this class of problems.

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ALE-VMS methods for wind-resistant design of long-span bridges

Cited by 29 publications

References 61 publications

Modelling nonlinear self-excited forces for bridge decks with regularised Volterra series models

Modelling nonlinear self-excited forces for bridge decks with regularised Volterra series models

Wind-Induced Phenomena in Long-Span Cable-Supported Bridges: A Comparative Review of Wind Tunnel Tests and Computational Fluid Dynamics Modelling

High-resolution multi-domain space–time isogeometric analysis of car and tire aerodynamics with road contact and tire deformation and rotation

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