Modeling of inflatable dams partially filled with fluid and gas considering large deformations and stability



Similar documents
CHAPTER 4 4 NUMERICAL ANALYSIS

Finite Element Methods (in Solid and Structural Mechanics)

Plates and Shells: Theory and Computation - 4D9 - Dr Fehmi Cirak (fc286@) Office: Inglis building mezzanine level (INO 31)

Mixed Precision Iterative Refinement Methods Energy Efficiency on Hybrid Hardware Platforms

Finite Element Method (ENGC 6321) Syllabus. Second Semester

Graduate Courses in Mechanical Engineering

Mesh Moving Techniques for Fluid-Structure Interactions With Large Displacements

Thermo-Mechanical Coupled Simulation with LS-DYNA

Sampling based sensitivity analysis: a case study in aerospace engineering

Back to Elements - Tetrahedra vs. Hexahedra

TWO-DIMENSIONAL FINITE ELEMENT ANALYSIS OF FORCED CONVECTION FLOW AND HEAT TRANSFER IN A LAMINAR CHANNEL FLOW

Course in. Nonlinear FEM

Characterization and Simulation of Processes

BOFIRE A FEM-programm for non-linear analysis of structural members under fire conditions

Numerical modeling of dam-reservoir interaction seismic response using the Hybrid Frequency Time Domain (HFTD) method

The elements used in commercial codes can be classified in two basic categories:

Introduction to Engineering System Dynamics

Domain Decomposition Methods. Partial Differential Equations

Simulation in design of high performance machine tools

Der Einfluss thermophysikalischer Daten auf die numerische Simulation von Gießprozessen

OpenFOAM Optimization Tools

ACMSM - Computer Applications in Solids Mechanics

Shell Elements in ABAQUS/Explicit

Finite Element Formulation for Beams - Handout 2 -

The Basics of FEA Procedure

FINITE ELEMENT : MATRIX FORMULATION. Georges Cailletaud Ecole des Mines de Paris, Centre des Matériaux UMR CNRS 7633

Controlled Building Collapse Analysis and Validation

Feature Commercial codes In-house codes

Abaqus Technology Brief. Automobile Roof Crush Analysis with Abaqus

ME6130 An introduction to CFD 1-1

ANALYSIS OF STRUCTURAL MEMBER SYSTEMS JEROME J. CONNOR NEW YORK : ':,:':,;:::::,,:

Nonlinear Analysis Using Femap with NX Nastran

Application of LS-DYNA Implicit for the Design of Plastic Components

Introduction to the Finite Element Method

4.3 Results Drained Conditions Undrained Conditions References Data Files Undrained Analysis of

Finite Element Formulation for Plates - Handout 3 -

Buckling of Spherical Shells

Product-process interaction modeling of composite structures using As-Built information

The simulation of machine tools can be divided into two stages. In the first stage the mechanical behavior of a machine tool is simulated with FEM

CHAPTER 3. INTRODUCTION TO MATRIX METHODS FOR STRUCTURAL ANALYSIS

How To Calculate Energy From Water

Programming a truss finite element solver in C

CAE -Finite Element Method

TRAVELING WAVE EFFECTS ON NONLINEAR SEISMIC BEHAVIOR OF CONCRETE GRAVITY DAMS

Paper Pulp Dewatering

Effect of Aspect Ratio on Laminar Natural Convection in Partially Heated Enclosure

Calculation of Eigenmodes in Superconducting Cavities

Statics of Structural Supports

Numerical simulation of the utility glass press-andblow

EFFECTS ON NUMBER OF CABLES FOR MODAL ANALYSIS OF CABLE-STAYED BRIDGES

PARAMETRIC MODELING. David Rosen. December By carefully laying-out datums and geometry, then constraining them with dimensions and constraints,

Pre-requisites

METHODOLOGICAL CONSIDERATIONS OF DRIVE SYSTEM SIMULATION, WHEN COUPLING FINITE ELEMENT MACHINE MODELS WITH THE CIRCUIT SIMULATOR MODELS OF CONVERTERS.

THREE-DIMENSIONAL INSERT MOLDING SIMULATION IN INJECTION MOLDING

FUNDAMENTAL FINITE ELEMENT ANALYSIS AND APPLICATIONS

Asymptotic Analysis of Fields in Multi-Structures

The Application of a Black-Box Solver with Error Estimate to Different Systems of PDEs

Which strategy to move the mesh in the Computational Fluid Dynamic code OpenFOAM

Reliable FE-Modeling with ANSYS

Graduate Certificate Program in Energy Conversion & Transport Offered by the Department of Mechanical and Aerospace Engineering

Lecture 16 - Free Surface Flows. Applied Computational Fluid Dynamics

Distance Learning Program

CFD Application on Food Industry; Energy Saving on the Bread Oven

New approaches in Eurocode 3 efficient global structural design

(Seattle is home of Boeing Jets)

Universität Karlsruhe (TH) Institut für Baustatik. Systematic Prediction of Yield-Line Configurations for Arbitrary Polygonal Plates

Three dimensional thermoset composite curing simulations involving heat conduction, cure kinetics, and viscoelastic stress strain response

AN INTRODUCTION TO NUMERICAL METHODS AND ANALYSIS

Chapter 8 Maxwell relations and measurable properties

CAE -Finite Element Method

Best practices for efficient HPC performance with large models

MEL 807 Computational Heat Transfer (2-0-4) Dr. Prabal Talukdar Assistant Professor Department of Mechanical Engineering IIT Delhi

Structural Integrity Analysis

Calculation of Eigenfields for the European XFEL Cavities

Efficient numerical simulation of time-harmonic wave equations

Topology optimization based on graph theory of crash loaded flight passenger seats

INTRODUCTION TO LIMIT STATES

How To Model A Shallow Foundation

CONSTANT HEAD AND FALLING HEAD PERMEABILITY TEST

Stress and deformation of offshore piles under structural and wave loading

Module 1 : Conduction. Lecture 5 : 1D conduction example problems. 2D conduction

Introduction. 1.1 Motivation. Chapter 1

Basin simulation for complex geological settings

How To Run A Cdef Simulation

PREDICTION OF MACHINE TOOL SPINDLE S DYNAMICS BASED ON A THERMO-MECHANICAL MODEL

STRUCTURAL ANALYSIS SKILLS

7. LU factorization. factor-solve method. LU factorization. solving Ax = b with A nonsingular. the inverse of a nonsingular matrix

Flow in data racks. 1 Aim/Motivation. 3 Data rack modification. 2 Current state. EPJ Web of Conferences 67, (2014)

Solved with COMSOL Multiphysics 4.3

P164 Tomographic Velocity Model Building Using Iterative Eigendecomposition

Powering up your ENERGY business processes

EFFECTIVE BENDING CAPACITY OF DOWEL-TYPE FASTENERS

Advanced Structural Analysis. Prof. Devdas Menon. Department of Civil Engineering. Indian Institute of Technology, Madras. Module

Transcription:

Institute of Mechanics Modeling of inflatable dams partially filled with fluid and gas considering large deformations and stability October 2009 Anne Maurer Marc Hassler Karl Schweizerhof Institute of Mechanics Kaiserstr. 12 D-76131 Karlsruhe Tel.: +49 (0) 721/ 608-2071 Fax: +49 (0) 721/608-7990 E-Mail: info@ifm.kit.edu www.ifm.uni-karlsruhe.de KIT University of the State of Baden-Wuerttemberg and National Laboratory of the Helmholtz Association www.kit.edu

1 SUMMARY Although gas or fluid supported membrane structures have a wide field of applications, such as inflatable pontoons of pioneers, hover-craft cushions or even pressurized girders or dams in the field of structural engineering, for fluid-structure interaction algorithms it is still a challenge to manage problems with large structural deformations in combination with gas and/or fluid containments changing their inner state variables during the deformation. In order to describe such interaction problems an analytical meshfree description for the fluid/gas is chosen [1], [3]. This approach leads to a deformation dependent loading and the particular advantage that concerning stability the influence of internal gas and fluid filling can be directly computed [4]. The deployment of an inflatable dam from partial filling to complete filling with fluid and gas followed by a hydrostatic loading demonstrates, how the simulation of structures with static gas and fluid loading resp. support can be efficiently performed for large deformations without discretizing the fluid resp. the gas. A stability investigation shows, how far such a dam has to be filled with fluid to avoid major stability problems. Also multi-chamber systems are presented as a further alternative and the efficiency of different solution schemes is discussed. 2 INTRODUCTION In this contribution structures filled and loaded with fluid and/or gas undergoing large deformations will be analysed with respect to their static stability and the discussion of different solution schemes. As already shown in [5] and [6] the analytical formulation of the fluid/gas terms in statics depends only on the surrounding structure and some fundamental variables as e.g. the gas pressure. The derivations in [4] lead to a linearized set of equations for fluid and/or gas filled chambers, which will be briefly discussed. Further, the focus is on the terms, which are important for the specific solution schemes and for the stability. The numerical examples cover both the buckling analyses of air inflated flexible dams under hydrostatic loading and a comparison of iterative solvers and direct solvers used for the computation. 3 FINITE ELEMENT FORMULATION OF GAS FILLED STRUCTURES As the derivation of the equations describing the state of equilibrium of a structure filled with fluid and/or gas only in terms of variables of the structural geometry are already given in [4], in this section only the basic approach for a system filled with gas will be shown. All other cases, as e.g. the filling with compressible fluid, incompressible fluid and incompressible fluid with additional gas loading, are treated in a similar fashion. The principle of virtual work states that for a structure at equilibrium subjected to a virtual displacement field the variation of the total potential energy δπ equals the virtual work of the external forces δw ext, 2

δπ δw ext = 0. (1) Considering a structure filled with gas, the energy consists of two parts: the internal energy Π el of the elastic structure and the internal energy Π g stored in the gas. For the virtual change of the energy then follows δπ = δπ el + δπ g. (2) The equilibrium is considered in the current configuration Φ at time t. Applying the Galerkin method to the surrounding structure results in disjunct elements and basis functions d = N u for the displacements u. Inserting (2) in (1) and linearizing the equations leads for δπ g to terms corresponding to a pressure change p and a change n of the normal n on the surrounding structure, δπ g (Φ + u) = δπ g (Φ) + } {{ } (a) (Φ) u+ } u{{ } (b) δπ p g δπ n g (Φ) u. (3) u } {{ } (c) The residual term (a) only depends on the virtual displacement δu and thus it belongs to the right-hand side vector f g. The second term (b) depends on δu and the change of pressure p and will appear as an additional column a to the assembled stiffness matrix. The matrix K g which results of the term (c) and depends on δu and the change of displacement u will be added to the stiffness matrix K el of the system. The added column, leading to a rank-one-update in a pure displacement formulation, is responsible for a certain stabilization of the system. Altogether this approach leads, with the discretization of the structure and using basis functions for the displacements, to the first row in the following system of equations, ( Kel + K g a a T α )( d p ) = ( fel + f g 0 ). (4) The second row follows from the isothermal constitutive equation for a quasistatic volume change. This system can be solved with an iterative solver like the SQMR method or with a direct solver. If the system consists of more than one chamber, the assembled matrix in (4) features further rank updates. The choice of the fastest solution scheme depends on the structure of this matrix. Also the challenge how to handle the very flexible state - almost kinematic - at the beginning of the filling process numerically will be discussed. 4 NUMERICAL EXAMPLES An example for structures filled with gas and undergoing large deformations are inflatable dams [2]. They consist of a rubber coated tube with composite layers which is fixed to the floor. The hydrostatic loading can be head water and/or bottom water (Figure 3

1). The focus is here on the filling process and head water loading which causes large deformations and raises the problem of structural stability. head water h o deflector bottom water h u Figure 1: Layout and load of an inflatable dam For the filling process the uncoiled flexible tube is subjected to an increasing internal gas pressure, inflating the membrane without any hydrostatic loading. In a further step the head water level is steadily increased until it reaches the weir crest. This simulates a rubber dam with hydrostatic loading and without overflow. Figure 2: Initial configuration, filling process, hydrostatic load simulated by finite elements As air filled rubber dams are prone to instability in case of high head water leading to buckling and to a localised overflow, they can be stabilized with an additional fluid filling. How far is subject of the presented investigation. Figure 3: Buckling due to overflow 4

References [1] J. Bonet, R. D. Wood, J. Mahaney, and P. Heywood. Finite element analysis of air supported membrane structures. Computer Methods in Applied Mechanics and Engineering 2000; 190: 579 595. [2] M. Gebhardt, F. Nestmann, K. Schweizerhof, and B. Kemnitz Grundlagen für die hydraulische und statische Bemessung von wasser- und luftgefüllten Schlauchwehren. Wasserwirtschaft 2008; 3: 27 32. [3] M. Haßler and K. Schweizerhof. On the interaction of fluid and gas loaded multichamber systems in a large deformation finite element analysis. Computer Methods in Applied Mechanics and Engineering 2008; 197: 1725 1749. [4] M. Haßler and K. Schweizerhof. On the influence of fluid-structure-interaction on the stability of thin-walled shell structures. International Journal of Structural Stability and Dynamics 2007; 7:313 335. [5] T. Rumpel and K. Schweizerhof. Volume-dependent pressure loading and its influence on the stability of structures. International Journal for Numerical Methods in Engineering 2003; 56:211 238. [6] T. Rumpel and K. Schweizerhof. Hydrostatic fluid loading in non-linear finite element analysis. International Journal for Numerical Methods in Engineering 2004; 59: 849 870. 5