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实验模态分析 经典资料(Allemang RJ)
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实验模态分析(EMA)理论和方法是线性系统十分成熟的技术,然而其基本概念较多、涉及的知识繁杂,对于初学者需要一本经典的入门宝典,推荐这个吧。
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CHAPTER 21
EXPERIMENTAL MODAL
ANALYSIS
Randall J. Allemang
David L. Brown
INTRODUCTION
Experimental modal analysis is the process of determining the modal parameters
(natural frequencies, damping factors, modal vectors, and modal scaling) of a linear,
time-invariant system. The modal parameters are often determined by analytical
means, such as finite element analysis. One common reason for experimental modal
analysis is the verification/correction of the results of the analytical approach. Often,
an analytical model does not exist and the modal parameters determined experi-
mentally serve as the model for future evaluations such as structural modifications.
Predominately, experimental modal analysis is used to explain a dynamics problem
(vibration or acoustic) whose solution is not obvious from intuition, analytical mod-
els, or previous experience.
The process of determining modal parameters from experimental data involves
several phases. The success of the experimental modal analysis process depends
upon having very specific goals for the test situation. Every phase of the process is
affected by the goals which are established, particularly with respect to the errors
associated with that phase. One possible delineation of these phases is as follows:
Modal analysis theory refers to that portion of classical vibrations that
explains, theoretically, the existence of natural frequencies, damping factors,
mode shapes, and modal scaling for linear systems. This theory includes both
lumped-parameter, or discrete, models as well as continuous models that rep-
resent the distribution of mass, damping, and stiffness. Since most current
modal parameter estimation methods are based upon frequency response
functions (FRFs) or impulse response functions (IRFs), modal analysis theory
also includes the theoretical definition of these functions with respect to mass,
damping, and stiffness as well. Modal analysis theory also includes the con-
cepts of real normal modes as well as complex modes of vibration as possible
solutions for the modal parameters.
1–3
Experimental modal analysis methods involve the theoretical relationship
between measured quantities and the classic vibration theory often repre-
21.1
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Copyright © 2009 The McGraw-Hill Companies. All rights reserved.
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Source: HARRIS’ SHOCK AND VIBRATION HANDBOOK
sented as matrix differential equations.All commonly used methods trace from
the matrix differential equations but yield a final mathematical form in terms
of measured raw input and output data in the time or frequency domains or
some form of processed data such as FRFs or IRFs. Since most current modal
parameter estimation methods are based upon FRFs or IRFs, experimental
methods that are based upon these functions are of primary concern.
Modal data acquisition involves the practical aspects of acquiring the data
that is required to serve as input to the modal parameter estimation phase.
This data can be the raw time-domain input and output data or the processed
data in terms of FRFs and IRFs. Much care must be taken to ensure that the
data match the requirements of the theory as well as the requirements of the
numerical algorithm involved in the modal parameter estimation. The theo-
retical requirements involve concerns such as system linearity as well as time
invariance of system parameters. The numerical algorithms are particularly
concerned with the bias errors in the data as well as with any overall dynamic
range considerations.
4–7
Modal parameter estimation is concerned with the practical problem of
estimating the modal parameters, based upon a choice of mathematical model
as justified by the experimental modal analysis method, from the measured
data.
8–12
Modal data presentation/validation is that process of providing a physical
view or interpretation of the modal parameters. For example, this may simply
21.2 CHAPTER TWENTY-ONE
FIGURE 21.1 Experimental modal analysis example using the imaginary part of the
frequency response functions.
Downloaded from Digital Engineering Library @ McGraw-Hill (www.accessengineeringlibrary.com)
Copyright © 2009 The McGraw-Hill Companies. All rights reserved.
Any use is subject to the Terms of Use as given at the website.
EXPERIMENTAL MODAL ANALYSIS
be the numerical tabulation of the frequency, damping, and modal vectors,
along with the associated geometry of the measured degrees of freedom
(DOF). More often, modal data presentation involves the plotting and anima-
tion of such information.
Figure 21.1 is a representation of all phases of the process. In this example, a con-
tinuous beam is being evaluated for the first few modes of vibration. Modal analysis
theory explains that this is a linear system and that the modal vectors of this system
should be real normal modes.The experimental modal analysis method that has been
used is based upon the FRF relationships to the matrix differential equations of
motion. At each measured DOF, the imaginary part of the FRF for that measured
response DOF and a common input DOF is superimposed perpendicular to the beam.
Naturally, the modal data acquisition in this example involves the estimation of FRFs
for each DOF shown.The FRFs are complex-valued functions, and only the imaginary
portion of each function is shown. One method of modal parameter estimation sug-
gests that for systems with light damping and widely spaced modes, the imaginary part
of the FRF, at the damped natural frequency, may be used as an estimate of the modal
coefficient for that response DOF.The damped natural frequency can be identified as
the frequency of the positive and negative peaks in the imaginary part of the FRFs.
The damping can be estimated from the sharpness of the peaks. In this abbreviated
way, the modal parameters have been estimated. Modal data presentation for this case
is shown as the lines connecting the peaks. While animation is possible, a reasonable
interpretation of the modal vector can be gained in this case from plotting alone.
MEASUREMENT DEGREES OF FREEDOM
The development of any theoretical concept in the area of vibrations, including modal
analysis, depends upon an understanding of the concept of the number of degrees of
freedom (n) of a system. This concept is extremely important to the area of modal
analysis, since the number of modes of vibration of a mechanical system is equal to
the number of DOF. From a practical point of view, the relationship between this
theoretical definition of the number of DOF and the number of measurement DOF
(N
o
,N
i
) is often confusing. For this reason, the concept of degree of freedom is re-
viewed as a preliminary to the following experimental modal analysis material.
To begin with, the basic definition that is normally associated with the concept of
the number of DOF involves the following statement: The number of degrees of free-
dom for a mechanical system is equal to the number of independent coordinates (or
minimum number of coordinates) that is required to locate and orient each mass in the
mechanical system at any instant in time. As this definition is applied to a point mass,
three DOF are required, since the location of the point mass involves knowing the x,
y, and z translations of the center of gravity of the point mass. As this definition is
applied to a rigid-body mass, six DOF are required, since θ
x
, θ
y
, and θ
z
rotations are
required in addition to the x, y, and z translations in order to define both the orien-
tation and the location of the rigid-body mass at any instant in time. As this defini-
tion is extended to any general deformable body, the number of DOF is essentially
infinite. While this is theoretically true, it is quite common, particularly with respect
to finite element methods, to view the general deformable body in terms of a large
number of physical points of interest, with six DOF for each of the physical points.
In this way, the infinite number of DOF can be reduced to a large but finite number.
When measurement limitations are imposed upon this theoretical concept of the
number of DOF of a mechanical system, the difference between the theoretical
number of DOF (n) and the number of measurement DOF (N
o
,N
i
) begins to evolve.
EXPERIMENTAL MODAL ANALYSIS 21.3
Downloaded from Digital Engineering Library @ McGraw-Hill (www.accessengineeringlibrary.com)
Copyright © 2009 The McGraw-Hill Companies. All rights reserved.
Any use is subject to the Terms of Use as given at the website.
EXPERIMENTAL MODAL ANALYSIS
Initially, for a general deformable body, the number of DOF (n) can be considered
to be infinite or equal to some large finite number if a limited set of physical points
of interest is considered, as discussed in the previous paragraph. The first measure-
ment limitation that needs to be considered is that there is normally a limited fre-
quency range that is of interest to the analysis. As this limitation is considered, the
number of DOF of this system that are of interest is now reduced from infinity to a
reasonable finite number.The next measurement limitation that needs to be consid-
ered involves the physical limitation of the measurement system in terms of ampli-
tude. A common limitation of transducers, signal conditioning, and data acquisition
systems results in a dynamic range of 80 to 100 dB (10
4
to 10
5
) in the measurement.
This means that the number of DOF is reduced further due to the dynamic range
limitations of the measurement instrumentation. Finally, since few rotational trans-
ducers exist at this time, the normal measurements that are made involve only trans-
lational quantities (displacement, velocity, acceleration, force) and thus do not
include rotational effects, or rotational degrees of freedom (RDOF). In summary,
even for the general deformable body, the theoretical number of DOF that are of
interest is limited to a very reasonable finite value (n = 1 − 50).Therefore, this num-
ber of DOF (n) is the number of modes of vibration that are of interest.
Finally, then, the number of measurement degrees of freedom (N
o
,N
i
) can be de-
fined as the number of physical locations at which measurements are made multiplied
by the number of measurements made at each physical location. Since the physical
locations are chosen somewhat arbitrarily, and certainly without exact knowledge of
the modes of vibration that are of interest,there is no specific relationship between the
number of DOF (n) and the number of measurement DOF (N
o
,N
i
). In general, in
order to define n modes of vibration of a mechanical system, N
o
or N
i
must be equal to
or larger than n. Note also that even though N
o
or N
i
is larger than n, this is not a guar-
antee that n modes of vibration can be found from the measurement DOF. The mea-
surement DOF must include physical locations that allow a unique determination of
the n modes of vibration. For example, if none of the measurement DOF are located
on a portion of the mechanical system that is active in one of the n modes of vibration,
portions of the modal parameters for this mode of vibration cannot be found.
In the development of material in the following text, the assumption is made that
a set of measurement DOF exists and allows for n modes of vibration to be deter-
mined. In reality, either N
o
or N
i
is always chosen to be much larger than n, since a
prior knowledge of the modes of vibration is not available. If the set of N
o
or N
i
mea-
surement degrees of freedom is large enough and if the measurement DOF are dis-
tributed uniformly over the general deformable body, the n modes of vibration are
normally found.
Throughout this experimental modal analysis reference, the frequency response
function H
pq
notation is used to describe the measurement of the response at mea-
surement DOF p resulting from an input applied at measurement DOF q. The sin-
gle subscript p or q refers to a single sensor aligned in a specific direction (X, Y, or
Z) at a physical location on or within the structure.
BASIC ASSUMPTIONS
There are four basic assumptions concerning any structure that are made in order to
perform an experimental modal analysis.
The first basic assumption is that the structure is linear; that is, the response of the
structure to any combination of forces, simultaneously applied, is the sum of the indi-
vidual responses to each of the forces acting alone. For a wide variety of structures,
21.4 CHAPTER TWENTY-ONE
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Copyright © 2009 The McGraw-Hill Companies. All rights reserved.
Any use is subject to the Terms of Use as given at the website.
EXPERIMENTAL MODAL ANALYSIS
this is a very good assumption. When a structure is linear, its behavior can be char-
acterized by a controlled excitation experiment in which the forces applied to the
structure have a form convenient for measurement and parameter estimation rather
than being similar to the forces that are actually applied to the structure in its nor-
mal environment. For many important kinds of structures, however, the assumption
of linearity is not valid.Where experimental modal analysis is applied in these cases,
it is hoped that the linear model that is identified provides a reasonable approxima-
tion of the structure’s behavior.
The second basic assumption is that the structure is time invariant; that is, the
parameters that are to be determined are constants. In general, a system which is
not time invariant has components whose mass, stiffness, or damping depends on
factors that are not measured or are not included in the model. For example, some
components may be temperature dependent. In this case, since temperature effects
are not measured, the temperature of the component is an unknown time-varying
signal. Hence, the component has time-varying characteristics. Therefore, the modal
parameters determined by any measurement and estimation process for this case
depend on the time (and the associated temperature dependence) when the mea-
surements are made. If the structure that is tested changes with time, then mea-
surements made at the end of the test period determine a different set of modal
parameters than measurements made at the beginning of the test period. Thus, the
measurements made at the two different times are inconsistent, violating the assump-
tion of time invariance.
The third basic assumption is that the structure obeys Maxwell’s reciprocity; that is,
a force applied at degree of freedom p causes a response at DOF q that is the same
as the response at DOF p caused by the same force applied at DOF q. With respect
to frequency response function measurements, the FRF between points p and q
determined by exciting at p and measuring the response at q is the same FRF found
by exciting at q and measuring the response at p (H
pq
= H
qp
).
The fourth basic assumption is that the structure is observable; that is, the input/
output measurements that are made contain enough information to generate an ade-
quate behavioral model of the structure. Structures and machines which have loose
components, or, more generally, which have DOF of motion that are not measured,
are not completely observable. For example, consider the motion of a partially filled
tank of liquid when complicated sloshing of the fluid occurs. Sometimes enough data
can be collected so that the system is observable under the form chosen for the
model, while at other times an impractical amount of data is required. This assump-
tion is particularly relevant to the fact that the data normally describes an incom-
plete model of the structure.This occurs in at least two different ways. First, the data
is normally limited to a minimum and maximum frequency as well as a limited fre-
quency resolution.Second, no information is available relative to local rotations due
to a lack of transducers available in this area.
MODAL ANALYSIS THEORY
While modal analysis theory has not changed over the last century, the application of
the theory to experimentally measured data has changed significantly. The advances
of recent years, with respect to measurement and analysis capabilities, have caused a
reevaluation of the aspects of the theory that relate to the practical world of testing.
With this in mind, the aspect of transform relationships has taken on renewed impor-
tance, since digital forms of the integral transforms are in constant use. The theory
EXPERIMENTAL MODAL ANALYSIS 21.5
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EXPERIMENTAL MODAL ANALYSIS
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