Adaptive h-finite element modeling of wind flow around bridges

Abstract Design of suspension bridge span is known to be very challenging, particularly considering its stability against wind flow. Traditionally, analysis of bridge section is done using wind tunnel and is very time consuming, with normal experimentation and modeling works requiring minimum 6–8 weeks. To reduce cost and time requirements of wind tunnel experiments, as an alternate approach, wind flow around bridges are investigated by application of computer modeling. One challenging aspect of computational approach is to solve the Navier–Stokes (NS) equations accurately. In the present work, automatic mesh generation technique is used to transfer the continuous fluid flow into discrete numerical data, followed by use of h- adaptive technique. The adaptive simulation is carried out using two posteriori error estimations, which are based on the velocity gradient and vorticity. The current study uses the wind flow over the Great Belt East Bridge (GBEB) as a case study.

[1]  Rainald Lhner.  Applied Computational Fluid Dynamics Techniques , 2008 .

[2]  T.J.A. Agar,et al.  Aerodynamic flutter analysis of suspension bridges by a modal technique , 1989 .

[3]  S. Lo.  A NEW MESH GENERATION SCHEME FOR ARBITRARY PLANAR DOMAINS , 1985 .

[4]  Hanan Samet,et al.  The Quadtree and Related Hierarchical Data Structures , 1984, CSUR.

[5]  Allan Larsen,et al.  Aeroelastic analysis of bridge girder sections based on discrete vortex simulations , 1997 .

[6]  Hiroshi Sato,et al.  Comparative and sensitivity study of flutter derivatives of selected bridge deck sections, Part 1: Analysis of inter-laboratory experimental data , 2009 .

[7]  Mustafa Özakça,et al.  Mesh generation with adaptive finite element analysis , 1991 .

[8]  Yan Han,et al.  Investigation on influence factors of buffeting response of bridges and its aeroelastic model verification for Xiaoguan Bridge , 2009 .

[9]  O. C. Zienkiewicz,et al.  Adaptive remeshing for compressible flow computations , 1987 .

[10]  Luca Caracoglia,et al.  Estimation of torsional-flutter probability in flexible bridges considering randomness in flutter derivatives , 2011 .

[11]  Jin Cheng,et al.  Nonlinear aerostatic stability analysis of Jiang Yin suspension bridge , 2002 .

[12]  J. Bonet,et al.  An alternating digital tree (ADT) algorithm for 3D geometric searching and intersection problems , 1991 .

[13]  T. Hughes,et al.  A new finite element formulation for computational fluid dynamics: V. Circumventing the Babuscka-Brezzi condition: A stable Petrov-Galerkin formulation of , 1986 .

[14]  Fa McRobie,et al.  Computational aeroelastic modelling to guide long-span bridge cross-section design , 1999 .

[15]  R. Panneer Selvam,et al.  Aeroelastic analysis of bridges using FEM and moving grids , 2002 .

[16]  R. Meakin.  Moving body overset grid methods for complete aircraft tiltrotor simulations , 1993 .

[17]  Ru-Cheng Xiao,et al.  Probabilistic free vibration and flutter analyses of suspension bridges , 2005 .

[18]  Haifan Xiang,et al.  Parametric study on flutter derivatives of bridge decks , 2001 .

[19]  O. C. Zienkiewicz,et al.  A simple error estimator and adaptive procedure for practical engineerng analysis , 1987 .

[20]  K. Morgan,et al.  Petrov-Galerkin solutions of the incompressible Navier-Stokes equations in primitive variables with adaptive remeshing , 1993 .