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TAKING ACCOUNT OF DAMPING IN ESTIMATING STRUCTURE
EARTHQUAKE STABILITY
К.V. Vorobyova1, О.P. Nesterova1, N.V. Nikonova1, А.М. Uzdin1*, М.Yu. Fedorova2
1St. Petersburg Transport University, Moskovsky Prospect 9, St. Petersburg, 190031 Russia
2St. Petersburg State University, Universitetskaya Nabereznaya 7-9, St. Petersburg, 199034, Russia
*e-mail: [email protected]
Abstract. Methods of building damping matrixes for estimating earthquake structure stability
are considered. Modal expansion and eigenvalue problem taking into account the structure of
eigen vector matrixes are analyzed.
1. Introduction
In estimating structure earthquake stability engineers are increasingly faced with the problem
of taking damping into account. In most structures their members have different damping
parameters. For example, bridges are characterized by damping in rolling stock dampers, in
steel spans, in bearings, in concrete piers and in the base soils. Even for conventional
buildings at least energy dissipation in the building and the foundation soil should be taken
into account. However, current regulations do not considered damping at all.
In practice, the following tasks most frequently arise:
that of taking into account internal friction in structure material and in the
ground base,
that of taking into account the geometric dispersion of energy in the soil due to
energy radiation from the structure by elastic waves
that of energy dissipation in special damping devices.
2. Building the damping matrix and motion equation.
The questions of accounting internal friction in the material are well-studied [1-3 and others].
The most convenient way to take internal friction into account is to use the generalized
hypothesis by E.S. Sorokin [2] about the proportionality of damping matrices and that of
stiffness for the structure members. In this case, substitution of the modulus of elasticity Es of
the s-th structure element on the corresponding product sEs, makes it possible to obtain the
damping matrix BC in accordance with E.S.Sorokin hypothesis by instead of the stiffness
matrix R. Thus obtained the motion equation represented in complex form is the following:
**
c
*
0i YMqRBqM . (1)
Here complex values of generalized displacements and disturbances are marked by symbol *
[3], M is the inertia matrix of the system, R is the stiffness matrix.
Because of well-known disadvantages of equation (1) the internal friction model of
E.S. Sorokin is replaced by an equivalent viscous one [3].
KXХBB1
cэкв
, (2)
Materials Physics and Mechanics 26 (2016) 57-60 Received: November 1, 2015
© 2016, Institute of Problems of Mechanical Engineering
where X is the matrix of eigenvectors of the same system without damping (undamped
system), K2 = 1, 2,… n = is the diagonal matrix of the eigenvalues of the matrix M-1R.
Taking into account formula (2), we get a real system of equations equivalent to (1):
0экв YMRqqBqM . (3)
For systems with proportional damping, i.e., when the matrix M-1Вс has the same
system of eigenvectors Х as the matrix M-1R, equations (1) and (3) are expended into the
modes Tn21 ,..., XXΞq :
*
j
*2
jj
*
j pki1 j
2
jjjjj pkk . (4)
Here jjk ,2
j
j
jk
, pj are elements of the vector 0
1YX , j are the diagonal elements of
the matrix ХBMХ c
11 == 1, 2,…n.
If damping is not proportional, one can retain only the diagonal elements in the matrix
ХBMХ c
11 , considering ХBMХ c
11 1, 2,…n. Then we can get another view of the
viscous damping matrix which is proportional in according to its building:
ΓKXMХχXMХB11
пр
, (5)
where =1, 2,…n is the modal matrix of inelastic resistance coefficients.
Thus, the generalized hypothesis by Sorokin can be taken as the basis for building the
damping matrix, taking into account the internal friction in the material. It allows us to build
the matrix Вс and pass on to the abovementioned viscous damping matrices using formulas
(2) or (5). Calculations show that when s<0.3, which is typical of conventional materials and
soils, the use of formulas (2) and (5) give similar results [3].
Somewhat more complicated is the case with energy dissipation due to its geometric
radiation into the soil base. As shown by V.A. Ilichevin [5], this dissipation for vertical and
shear vibrations is frequency dependent and can be described for a wide range of frequencies
by classical viscous damping, i.e. it can be characterized by the coefficient of viscous
damping. As for rotary vibrations, here the dissipation frequency dependence is more
complicated [5], but in the acceptable range of frequencies it can be considered as frequency
independent and describes the ratio of inelastic resistance [6]. Within the framework of the
FEM geometric energy dissipation is taken into account along the border of the design base
area. In most cases, damping matrix is not proportional and its elements lead to the values of
far exceeding to the value of 0.3. As a result, the formulas (2), (3) and (5) may lead to
different results.
Limited possibility of application of formulas (2), (3) and (5) is typical when using
special dampers [7]. Some of them are directly described by viscous or hysteretic damping,
however, for a large part of dampers the resistance force is considered to be non-linear and is
described by dependence [7, 8]:
qsignqQQ 0
, (6)
where Q0 and are the damper parameters.
In the paper [8] it was shown, that nonlinear damping (6) can be represented with high
accuracy as the sum of the viscous and dry friction (DFD) dampers:
qsignFqbqsignqQQ экв0
. (7)
58 К.V. Vorobyova, О.P. Nesterova, N.V. Nikonova, А.М. Uzdin, М.Yu. Fedorova
Taking into account equation (7), the equation of oscillations can be written in the
following form
тр0экв QYMRqqBqM , (8)
where Qтр is the vector of generalized forces caused by friction in the open DFD and residual
displacement in the closed DFD.
3. The modal expansion of motion equations
An important problem for all forms of equations which take damping into account (1), (3),
and (8), is their modal expansion. If daqmping is due to internal friction in the material, the
approximate modal expansion using modes of the undamped system is permissible because of
the relatively small damping forces. In other cases, such modal expansion is not justified. In
this regard, in engineering practice methodologies and software tools of calculating complex
eigenvalues and vectors of the systems under consideration began to be used. Thus, it is
necessary to work with full matrices of systems (1) and (3), which have the form
For systems (3,8)
0E
RMBMA
11
For the system (1)
0E
BRM0A
1
ci
The widespread software being used in Russia, instead of MicroFe [9], does not
provided the solution of complex problem.
The authors of this paper have proposed two methods of determining complex
eigenvalues and vectors. The both methods are based on the initial approximation of
eigenvalues and eigenvectors х by identical ones of the undamped system.
At this initial approximation the complex eigenvector matrix can be written as
XX
ΩΩΓ
XΩΩΓ
XZ
**)0(22
ii, (9)
and the complex matrix of eigenvalues takes the following form
=2
,2
,2
,2
,2
,2
nn2211nn2211
+i
)n(
*
)2(
*
)1(
*
)n(
*
)2(
*
)1(
* ,,,,, , (10)
where 2
jj
)j(
* 25.01 .
The first method is based on the fact that approximations (9.10) are accepted to have a
slight error, which is iteratively corrected. At the i-th stage the eigenvalue and the
corresponding eigenvector z(i) are written as follows:
(i 1) (i)z z ( i ) ; ( i 1 ) ( i )
* * ; (11)
At the same time the following condition is to be met
(i 1) (i 1) (i 1)
*· · A z z . (12)
After putting (10) into (11) we obtain
( - ( i ) ( i ) ( i ) ( i ) ( i )
* A E Δ z Mp Δ , (13)
where (i) (i)· - · ( i )
*Mp A z z .
59Taking account of damping in estimating structure earthquake stability
If we neglect a small quantity · in equation (12),we obtain a system of n equations in
n + 1 unknowns (1), (2),… (n) and . The description of the algorithm of solving this system
is given in paper [10].
The second approach uses the well-known method by Leverie. According to it for the i-
th eigenvector the following condition takes place
(0)lim( )n
i in
z A z . (14)
Here (0)
iz is an initial approximation of the eigenvector in accordance with (9).
For systems with a sparse spectral range every initial approximation by formula (8)
ensures the convergence to the corresponding eigenvector. The situation gets more
complicated for systems having a tight specter range with points of condensation.
One can use mode correlation coefficients ij [12] as an empirical criterion of
applicability of the approximate calculating method
jkjk
2
j
2
j
2
k
2
k
2
j
2
k
2
jk
2
jk
jk
3
j
3
kjk
kj
kkkkkkkkkk
kkkk2
. (15)
If ij <0.2, one can ignore the influence of damping on oscillation modes.
References
[1] E.S. Sorokin, On the theory of internal friction in the oscillations of elastic systems
(Gosstroyizdat, Moscow, 1960). (In Russian).
[2] A.I. Tseitlin // Building Mechanics and Calculation of Structures 4 (1981) 33.
[3] A.A. Dolgaya, A.V. Indeykin, A.M. Uzdin, The theory of dissipative systems (Petersburg
Transport University, St.Petersburg, 1999).
[5] V.A. Ilichev, In: The dynamic analysis of structures for special impacts, Handbook
(Stroyizdat, Moscow, 1981), p. 114. (In Russian).
[6] Haibin Wang, I.O. Kuznetsova, A.M. Uzdin, U.Z. Shermukhamedov // Bulletin of Civil
Engineers 3 (2010) 91. (In Russian).
[7] A.M. Uzdin, S.V. Elizarov, T.A. Belash, Earthquake resistant costructions of transport
buildings and structures (Publishing House "Training Center for Education in Rail
Transport", Moscow, 2012). (In Russian).
[8] N.V. Durseneva, A.V. Indeykin, I.O. Kuznetsova, A.M. Uzdin, M.Yu. Fedorova // Journal
of Civil Engineering and Archtecture 9(4) (2015) 401.
[10] A.Yu. Soldatov, V.L. Lebedev, V.A. Semenov, In: VII Savinovsky readings. Abstracts.
(St. Petersburg Transport University, St. Petersburg, 2014), p. 21. (In Russian).
[11] D. Shchelkunov, A.M. Uzdin, A.A. Fedorov, M.Yu. Fedorova, In: VI Polyahovskie
readings (St. Petersburg State University, St. Petersburg, 2012), p. 86.
[12] A.A. Petrov, S.V. Bazilevsky, In: Earthquake-proof construction (domestic and foreign
experience) (TsINIS, Moscow, 1978), Series XIV, Issue 5, p. 23. (In Russian).
60 К.V. Vorobyova, О.P. Nesterova, N.V. Nikonova, А.М. Uzdin, М.Yu. Fedorova