Mechanical Vibrations Chapter 6 Solution Methods for the Eigenvalue Problem

Similar documents
Automated Multi-Level Substructuring CHAPTER 4 : AMLS METHOD. Condensation. Exact condensation

Reduction in number of dofs

AA242B: MECHANICAL VIBRATIONS

Perturbation of periodic equilibrium

2C9 Design for seismic and climate changes. Jiří Máca

Efficient Reduced Order Modeling of Low- to Mid-Frequency Vibration and Power Flow in Complex Structures

Vibration Transmission in Complex Vehicle Structures

Creation of a State-Space Model from a Finite Element Model for the active control algorithm efficiency tests.

Structural Dynamics Lecture 4. Outline of Lecture 4. Multi-Degree-of-Freedom Systems. Formulation of Equations of Motions. Undamped Eigenvibrations.

MODEL REDUCTION USING GUYAN, IRS, AND DYNAMIC METHODS

Introduction to Continuous Systems. Continuous Systems. Strings, Torsional Rods and Beams.

SDLV302 Modal analysis by under-structuring: bi-- supported beam

This appendix gives you a working knowledge of the theory used to implement flexible bodies in ADAMS. The topics covered include

Collocated versus non-collocated control [H04Q7]

A priori verification of local FE model based force identification.

θ α W Description of aero.m

IMPROVEMENT OF A STRUCTURAL MODIFICATION METHOD

INPUT-OUTPUT BASED MODEL REDUCTION FOR INTERCONNECTED SYSTEMS

SPECIAL DYNAMIC SOIL- STRUCTURE ANALYSIS PROCEDURES DEMONSTATED FOR TWO TOWER-LIKE STRUCTURES

Space engineering. Structural finite element models. ECSS-E-ST-32-03C 31 July 2008

Part 6: Dynamic design analysis

An Expansion Method Dealing with Spatial Incompleteness of Measured Mode Shapes of Beam Structures

Dynamics of Rotor Systems with Clearance and Weak Pedestals in Full Contact

Computational Stiffness Method

Dynamics of Structures

Structural Dynamics Lecture 7. Outline of Lecture 7. Multi-Degree-of-Freedom Systems (cont.) System Reduction. Vibration due to Movable Supports.

Outline. Structural Matrices. Giacomo Boffi. Introductory Remarks. Structural Matrices. Evaluation of Structural Matrices

Structural Dynamics Lecture Eleven: Dynamic Response of MDOF Systems: (Chapter 11) By: H. Ahmadian

Modal Analysis: What it is and is not Gerrit Visser

have invested in supercomputer systems, which have cost up to tens of millions of dollars each. Over the past year or so, however, the future of vecto

AA242B: MECHANICAL VIBRATIONS

ESTIMATION OF TRANSMITTED LOADS USING EXPERIMENTAL SUBSTRUCTURING. 1 Introduction & context. Mathieu Corus, Olivier Sauvage, Etienne Balmès

Chapter 4 Analysis of a cantilever

THE STATIC SUBSTRUCTURE METHOD FOR DYNAMIC ANALYSIS OF STRUCTURES. Lou Menglin* SUMMARY

Structural Matrices in MDOF Systems

Operating Deflection Shapes from Strain Measurement Data

Partitioned Formulation with Localized Lagrange Multipliers And its Applications **

Introduction to structural dynamics

ABSTRACT Modal parameters obtained from modal testing (such as modal vectors, natural frequencies, and damping ratios) have been used extensively in s

Identification Methods for Structural Systems. Prof. Dr. Eleni Chatzi Lecture March, 2016

Structural Dynamics. Spring mass system. The spring force is given by and F(t) is the driving force. Start by applying Newton s second law (F=ma).

Program System for Machine Dynamics. Abstract. Version 5.0 November 2017

Fractal two-level finite element method for free vibration of cracked beams

Effect of Mass Matrix Formulation Schemes on Dynamics of Structures

Nonlinear Model Reduction for Rubber Components in Vehicle Engineering

Advanced Vibrations. Elements of Analytical Dynamics. By: H. Ahmadian Lecture One

Stochastic Dynamics of SDOF Systems (cont.).

on the figure. Someone has suggested that, in terms of the degrees of freedom x1 and M. Note that if you think the given 1.2

k 21 k 22 k 23 k 24 k 31 k 32 k 33 k 34 k 41 k 42 k 43 k 44

Parametric Identification of a Cable-stayed Bridge using Substructure Approach

USAGE OF THE GENERALIZED MODAL SYNTHESIS METHOD IN DYNAMICS OF MACHINES

Grandstand Terraces. Experimental and Computational Modal Analysis. John N Karadelis

D && 9.0 DYNAMIC ANALYSIS

A numerical model for ground-borne vibrations from underground railway traffic based on a periodic FE-BE formulation

D : SOLID MECHANICS. Q. 1 Q. 9 carry one mark each.

DISPENSA FEM in MSC. Nastran

EMA 545 Final Exam - Prof. M. S. Allen Spring 2011

Preconditioning Subspace Iteration for Large Eigenvalue Problems with Automated Multi-Level Sub-structuring

Verification of assumptions in dynamics of lattice structures

Dr.Vinod Hosur, Professor, Civil Engg.Dept., Gogte Institute of Technology, Belgaum

Free vibrations of a multi-span Timoshenko beam carrying multiple spring-mass systems

COUPLED USE OF FEA AND EMA FOR THE INVESTIGATION OF DYNAMIC BEHAVIOUR OF AN INJECTION PUMP

Validation of Offshore load simulations using measurement data from the DOWNVInD project

PROJECT 1 DYNAMICS OF MACHINES 41514

ADAM PIŁAT Department of Automatics, AGH University of Science and Technology Al. Mickiewicza 30, Cracow, Poland

Study of component mode synthesis methods in a rotor-stator interaction case

CIVL 8/7117 Chapter 12 - Structural Dynamics 1/75. To discuss the dynamics of a single-degree-of freedom springmass

822. Non-iterative mode shape expansion for threedimensional structures based on coordinate decomposition

Toward a novel approach for damage identification and health monitoring of bridge structures

Analysis of Friction-Induced Vibration Leading to Eek Noise in a Dry Friction Clutch. Abstract

SPACECRAFT EQUIPMENT VIBRATION QUALIFICATION TESTING APPLICABILITY AND ADVANTAGES OF NOTCHING

CHAPTER 14 BUCKLING ANALYSIS OF 1D AND 2D STRUCTURES

Estimation of Rotational Degrees of Freedom by EMA and FEM Mode Shapes

Codal Provisions IS 1893 (Part 1) 2002

Chapter 2: Rigid Bar Supported by Two Buckled Struts under Axial, Harmonic, Displacement Excitation..14

Model Order Reduction of Complex Airframes Using Component Mode Synthesis for Dynamic Aeroelasticity Load Analysis

Model reduction for structures with damping and gyroscopic effects

Vibration of Thin Beams by PIM and RPIM methods. *B. Kanber¹, and O. M. Tufik 1

Eigenvalues of Trusses and Beams Using the Accurate Element Method

Adaptive Coarse Space Selection in BDDC and FETI-DP Iterative Substructuring Methods: Towards Fast and Robust Solvers

Static and Dynamic Analysis of mm Steel Last Stage Blade for Steam Turbine

ANALYSIS OF NONUNIFORM BEAMS ON ELASTIC FOUNDATIONS USING RECURSIVE DIFFERENTATION METHOD

A STUDY OF THE ACCURACY OF GROUND VIBRATION TEST DATA USING A REPLICA OF THE GARTEUR SM-AG19 TESTBED STRUCTURE

Introduction to Vibration. Mike Brennan UNESP, Ilha Solteira São Paulo Brazil

Theory and Practice of Rotor Dynamics Prof. Dr. Rajiv Tiwari Department of Mechanical Engineering Indian Institute of Technology Guwahati

Part 1: Discrete systems

Structural Dynamics A Graduate Course in Aerospace Engineering

DETERMINATION OF STATIC STIFFNESS OF MECHANICAL STRUCTURES FROM OPERATIONAL MODAL ANALYSIS

Technical University Hamburg { Harburg, Section of Mathematics, to reduce the number of degrees of freedom to manageable size.

Dynamics of structures

Chapter 23: Principles of Passive Vibration Control: Design of absorber

Introduction to Vibration. Professor Mike Brennan

REVIEW AND EVALUATION OF SHAPE EXPANSION METHODS

Development and analysis of radial force waves in electrical rotating machines

Design of Structures for Earthquake Resistance

Towards Rotordynamic Analysis with COMSOL Multiphysics

Effect of Dynamic Interaction between Train Vehicle and Structure on Seismic Response of Structure

DESIGN OF A HIGH SPEED TRAIN USING A MULTIPHYSICAL APPROACH

Advanced Vibrations. Distributed-Parameter Systems: Exact Solutions (Lecture 10) By: H. Ahmadian

Substructure model updating through iterative minimization of modal dynamic residual

Transcription:

Mechanical Vibrations Chapter 6 Solution Methods for the Eigenvalue Problem

Introduction Equations of dynamic equilibrium eigenvalue problem K x = ω M x The eigensolutions of this problem are written in the following order: 0 ω x 1 (1), ω x (),, ω x n ( n)

3 Criteria for selecting the solution method Number of degrees of freedom in the system (n) Class I Class II 1 n 10 10 n 50 Development of the characteristic equation Jacobi s method, power algorithm Class III Class IV Class V 50 n 500 500 n 5000 n > 5000 Band character of K and M Inverse iteration method, subspace method, Lanczos method Reduction methods

4 Criteria for selecting the solution method Required frequency spectrum Ability to separate close eigenvalues Rate of convergence Computational cost Automatic extraction of rigid-body modes Handling of coupled problems Use within the substructuring context Interested readers may refer to Géradin s book.

5 Reduction and substructuring methods The reduction and substructuring methods are often used in industry for two reasons: 1. As only the low frequency range is of interest for mechanical design purposes, it is advantageous to reduce from the start the eigenvalue problem to a smaller dimension.. In the context of large projects, the analysis is divided into several parts (often performed by distinct teams). A separate model is constructed for each part of the system and will be used to reconstruct the whole original model. That is what is called substructuring techniques.

6 Industrial examples Stator of a turbojet engine Courtesy of Techspace Aero Automated Transfer Vehicle Courtesy of EADS Space Transportation 1 78 000 DOF 8 000 DOF

7 Reduction and substructuring methods Initial problem Reduced problem Kn n M n n Km m Mm m n ~ 10 5, 10 6 m ~ 10, 10 3 Transformation matrix?

8 Reduction and substructuring methods The general principle of a method for reducing the size of an eigenvalue problem K x = ω M x consists of building a subspace R of dimension n x m (m < n) so that the solution can be written in the form x = R y ( n 1) ( n m) ( m 1)

9 Reduction and substructuring methods Variational problem ( T V ) δ = max max 0 δ 1 x T K x ω x T M x = 0 δ 1 y T K y ω y T M y = 0 K y = ω M y Reduced stiffness and mass matrices K T = R K R and M = R T M R

10 Static condensation (Guyan-Irons reduction) The aim of the Guyan s condensation method is to obtain an eigenvalue problem of reduced size without altering too much the low eigenfrequency spectrum of the initial problem. For this purpose, the degrees of freedom are partitioned into n R dynamic (retained) coordinates (with n R << n) and n C condensed coordinates. x xr = xc K RR RC RR RC K = K M CR K CC M CR M CC K M M = The dynamic behaviour of the structure will be described by the retained coordinates only.

11 Static condensation (Guyan-Irons reduction) K x = ω M x The equation can be put in the form Kx= F where F= ω M x is the vector of inertia forces. KRR KRC xr FR = K K x F CR CC C C with F C 0 The inertia forces F C may be neglected if the masses affected to the condensed degrees of freedom are equal to zero or negligible. If it is the case, one finds 1 C = CC CR R x K K x

1 Static condensation (Guyan-Irons reduction) Thus we can define the transformation matrix R x xr xr I = = 1 = 1 xr = xc KCC KCR xr KCC KCR R x R It follows that the reduced stiffness and mass matrices are given by K RR = R T K R = K RR K RC K 1 CC K CR M RR = R T M R = M RR M RC K 1 CC + K RC K CR K 1 CC K M RC CC K K 1 CC 1 CC M K CR CR

13 Static condensation (Guyan-Irons reduction) Remarks The validity of the Guyan s reduction method depends on the extent to which the vector of inertia forces F C is negligible. It can be shown that static condensation always leads to an excess approximation to the eigenvalue spectrum. In computational practice, the reduction matrix R I I = = 1 KCC KCR RCR is computed by solving the static problem (with n R second members) KCC RCR = KCR

14 Example: the beam clamped at both ends Two finite element model Three finite element model w Ψ 1 w w 3 Ψ 3 1 Ψ 3 1 3 1 3 4 Comparison of the results (no reduction) ω r 4 ml EI Mode n elements DOF 3 elements 4 DOF exact 1 516.9 504.67 500.6 670 3 956.9 3 803 3-1 405 14 60 4-84 537 39 944

15 Example: the beam clamped at both ends Three finite element model 1 w w 3 Ψ 3 1 Ψ 3 3 4 Condensation of the rotational degrees of freedom ω r 4 ml EI Mode n elements DOF 3 elements DOF 3 elements 4 DOF exact 1 516.9 506.5 504.7 500.6 670 400 3957 3803

16 Example: the beam clamped at both ends Beam clamped at both ends with 100 finite elements (= 396 DOF) Reduction of the rotational degrees of freedom 198 DOF ω r 4 ml EI 14 x 109 1 ω r 4 ml EI 1 x 105 10 Close-up 10 8 8 6 6 4 4 0 0 10 0 30 40 50 60 70 80 90 100 0 0 1 3 4 5 6 7 8 9 10 Mode n Mode n The relative error on the first 10th modes is less than 5 10-5 %!

17 Example: the beam clamped at both ends Guyan reduction: 396 DOF 198 DOF 5 DOF ω r 4 ml EI 14 x 105 1 10 8 6 4 x exact o Guyan (5 DOF) FE (13 elements, 6 DOF) 5000 0 0 1 3 4 5 6 7 8 9 10 Mode n 11 x 10 5 4500 4000 Close-up 10 Close-up 3500 9 3000 8 500 000 7 1500 6 1000 500 5 0 0 1 4 8 9

18 Example: the beam clamped at both ends Guyan reduction: 396 DOF 198 DOF 5 DOF Relative error % 5 4 o Guyan (5 DOF) FE (13 elements, 6 DOF) 3 1 0 0 1 3 4 5 6 7 8 9 10 Mode n Guyan 5 DOF FE 6 DOF exact Mode n 1 500.6 500.6 500.6 3803.6 3804. 3803.5 9 7.964 10 5 8.196 10 5 7.934 10 5 10 1.191 10 6 1.39 10 6 1.184 10 6

19 Substructuring methods Let us consider a substructure which is connected to the rest of the system by a set of boundary degrees of freedom q boundary DOF q internal DOF q 1 The internal degrees of freedom q 1 are free. The substructure is described by its stiffness and mass matrices K and M

0 Concept of mechanical impedance boundary DOF q The dynamic equilibrium equation of the substructure writes ( K ω M) q = g internal DOF q 1 applied force amplitudes and the impedance matrix is defined as ( ω ) ω 1( ω = = ) Z K M H

1 Concept of mechanical impedance boundary DOF q internal DOF q 1 Since the internal degrees of freedom q 1 are not loaded, we may write Z Z 11( ω ) Z q1 0 1 = 1( ω ) Z q g ( ω ) ( ω ) External loads and/or boundary reactions From the first equation, we can eliminate the internal degrees of freedom.

Concept of mechanical impedance 1 1 = 11 1 q Z Z q So we deduce the relationship ( ) * ω = Z q g where Z * 1 = Z Z 1 Z11 Z1 Reduced impedance matrix Z * One notes that admits as poles the zeros of Z 11 which corresponds to the eigenfrequencies of the subsystem with its boundary degrees of freedom q fixed.

3 Concept of mechanical impedance Let us consider the subsystem clamped on its boundary boundary DOF q The eigensolutions of the subsystem ( ω ) K M x 11 11 = 0 internal DOF q 1 are numbered in the following order 0 ω1 ωn < x x () 1 ( n)

4 Concept of mechanical impedance Based on the spectral expansion of, it can be shown that the reduced impedance matrix takes the form Z 1 11 * 1 = 1 11 1 Z K K K K 4 ( 1 1 1 1 M ) M1 K11 K1 K1 K11 M1 K1 K11 M11 K11 K1 ω + ω n 1 i= 1 ( ) T ( K ) 1 ωi M1 x ( i) x ( i) K1 ωi M1 4 i ( i ) ω ω ω T where the terms of orders 0, 1 and in ω have been isolated. What do we recognize in this equation?

5 Concept of mechanical impedance The first two terms corresponds to a static condensation of the substructure on its boundary (Guyan s reduction method). RR RR 1 1 11 1 1 1 11 1 1 1 11 1 1 1 11 11 1 11 1 K = K K K K M = M M K K K K M + K K M K K Z * = K ω ω RR 4 M n 1 RR Guyan s reduction method ( ) T ( K ) 1 ωi M1 x ( i) x ( i) K1 ωi M1 4 i= 1 ωi ( ωi ω ) T The last term represents a correction term that can be exploited to improve Guyan s reduction method.

6 Craig and Bampton s method Z * = K ω ω RR 4 M n 1 RR Guyan s reduction method ( ) T ( K ) 1 ωi M1 x ( i) x ( i) K1 ωi M1 4 i= 1 ωi ( ωi ω ) T The term of order ω 4 represents the contribution of the subsystem eigenmodes in clamped boundary configuration.

7 Craig and Bampton s method So the dynamic behaviour of a substructure is fully described by: the static boundary modes resulting from the static condensation, the subsystem eigenmodes in clamped boundary configuration.

8 Craig and Bampton s method Accordingly, it means that the following transformation may be applied to the initial degrees of freedom x I 0 xr = 1 KCC KCR ΦI y n R n I boundary DOF intensity parameters (n I = n n R ) where the Guyan s reduction matrix has been complemented by the set of n internal vibration modes obtained by solving ( ω ) K M x 11 11 = 0

9 Craig and Bampton s method In practice, only a certain number m < n I modes are kept: of internal vibration Φ x x m = () 1 ( m) They can be selected according to the intensity of the associated boundary reactions ( ω ) K M x K x RC i RC () i RC () i This yields the final reduction matrix of dimension n x (n R + m) R I 0 = 1 KCC KCR Φm

30 Craig and Bampton s method Working the reduced stiffness and mass matrices explicit gives with KRR 0 MRR MRm K = and = M 0 Ωm M mr I 1 RR = RR RC CC CR K K K K K 1 1 1 1 RR = RR RC CC CR RC CC CR + RC CC CC CC CR M M M K K K K M K K M K K ( 1 ) T T mr = m CR CC CC CR = Rm M Φ M M K K M In the finite element context, matrices and constitute a so-called superelement. K M

31 Example: the beam clamped at both ends Beam clamped at both ends with 100 finite elements (= 396 DOF) 40 elements (80 DOF) Superelement Guyan s reduction method 80 DOF Craig-Bampton s substructuring method 80 DOF + internal modes 80 DOF + 5 internal modes

3 Example: the beam clamped at both ends Relative error % ω r 4 ml EI.5 x 107 1800 1600 1400 100 1.5 1000 1 800 600 0.5 400 00 0 0 1 3 4 5 6 7 8 9 10 Mode n x exact (FE with 396 DOF) o Guyan (80 DOF) Craig-Bampton ( modes) Δ Craig-Bampton (5 modes) 100 90 80 70 60 50 40 30 0 10 0 0 1 3 4 5 6 7 8 9 10 Close-up Mode n 0 0 1 3 4 5

33 Example (Courtesy of Techspace Aero) Analysis of the radial freeplay Casing 789 07 DOF Stator 1 78 000 DOF Rotor 113 176 DOF

34 After reduction: validation in [0-300 Hz] Analysis of the radial freeplay Casing 81 DOF Craig-Bampton Stator 7 014 DOF Rotor 85 DOF Craig-Bampton Guyan