Boundary and interface methods for energy stable finite difference discretizations of the dynamic beam equation

2025-04-30 0 0 1021.29KB 28 页 10玖币
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Boundary and interface methods for energy stable
finite difference discretizations of the dynamic beam
equation
Gustav Eriksson, Jonatan Werpers, David Niemelä, Niklas Wik, Valter
Zethrin, Ken Mattsson
Department of Information Technology, Uppsala University, PO Box 337, S-751 05
Uppsala, Sweden
Abstract
We consider energy stable summation by parts finite difference methods
(SBP-FD) for the homogeneous and piecewise homogeneous dynamic beam
equation (DBE). Previously the constant coefficient problem has been solved
with SBP-FD together with penalty terms (SBP-SAT) to impose boundary
conditions. In this work we revisit this problem and compare SBP-SAT to the
projection method (SBP-P). We also consider the DBE with discontinuous
coefficients and present novel SBP-SAT, SBP-P and hybrid SBP-SAT-P dis-
cretizations for imposing interface conditions. Numerical experiments show
that all methods considered are similar in terms of accuracy, but that SBP-P
can be more computationally efficient (less restrictive time step requirement
for explicit time integration methods) for both the constant and piecewise
constant coefficient problems.
Keywords: dynamic beam equation, boundary treatment, summation by
parts, finite differences, high order methods
1. Introduction
The dynamic beam equation (DBE) is a standard beam theory model
describing the motion of free vibrations of a Euler-Bernoulli beam. The
Corresponding author
E-mail address: gustav.eriksson@it.uu.se
Preprint submitted to Journal of Computational Physics October 25, 2022
arXiv:2210.13131v1 [math.NA] 24 Oct 2022
derivation of the equation dates back to the 18th century but it is still used in
engineering applications today. For example, in construction of infrastructure
involving beams such as buildings, bridges and railways.
Most of the literature on the DBE focus on solving the constant coef-
ficient problem in the frequency domain. By taking the Laplace transform
of (1) one can, for specific boundary conditions and external loads, derive
the fundamental frequencies of the beam and thus obtain explicit analytical
solutions [1, 2, 3, 4]. Although this approach is highly efficient when appli-
cable, the analysis becomes significantly more complex when discontinuous
beam parameters and general dynamic loads are required. An alternative is
to utilize numerical methods. In [5] the spatial component of the solution is
discretized with compact finite differences and used to numerically derive the
natural frequencies of nanobeams. However, this approach assumes that the
spatial and temporal parts of the solution function can be separated. In this
paper we solve the DBE numerically in the time-domain using the method
of lines, i.e. we discretize the partial differential equation (PDE) in space
and then solve the resulting system of ordinary differential equations (ODE).
The spatial discretization is done using high order explicit finite difference
methods. This approach is not limited by any specific choice of boundary
condition or external loads, and does not assume that the solution takes any
particular form (e.g. separate temporal and spatial components).
It has for a long time been known that non-trivial boundary procedures
are required to obtain stable high order finite difference discretizations of
initial-boundary value problems (IBVP) [6, 7, 8, 9, 10]. One way to manage
this is to combine summation by parts (SBP) finite difference operators with
either the simultaneous approximation term (SAT) method or the projection
(P) method to impose boundary conditions. With both SBP-SAT or SBP-P
a semi-discrete energy estimate that mimics the continuous estimate can be
derived, ensuring stability of the ODE system. The SBP-SAT and SBP-P
methods have been applied to various PDE:s in the past, see for example
[11, 12, 13, 14, 15]. See also [16, 17, 18] for examples of the SBP-SAT
method applied to IBVP:s involving third and fourth derivatives. In [16] the
SBP-SAT method was used to solve the DBE with constant coefficients.
In this paper we begin by deriving stable SBP-P discretizations of the
DBE with clamped and free boundary conditions, and compare them to pre-
viously presented SBP-SAT discretizations [16]. We then consider the DBE
with piecewise constant coefficients, requiring additional interface conditions
to couple the solution across the discontinuities. We present novel SBP-SAT,
2
SBP-P and hybrid SBP-SAT-P discretizations for this problem and compare
them numerically in terms of accuracy and computational efficiency. Previ-
ously SBP-SAT and SBP-P have been used to impose interface conditions
for PDE:s with second derivatives in space, see for example [12, 14, 19]. Here
we propose a novel third alternative utilizing SAT and projection simultane-
ously, SBP-SAT-P, where some interface conditions are imposed using SAT
and others using projection. The focus of the current work is twofold: a):
to develop a stable method for solving the DBE with general parameters,
boundary conditions and external loads and b): to compare SBP-SAT, SBP-
P and SBP-SAT-P for a problem involving high spatial derivatives (for which
it is traditionally difficult to derive energy stable schemes).
This paper is organized as follows: In Section 2 the DBE is introduced.
In Section 3 necessary definitions are presented. In Sections 4 and 5 the DBE
with constant and piecewise constant coefficients respectively is analyzed. In
Section 6 the time stepping scheme is presented. In Section 7 the methods
are compared and the analysis is verified numerically. Conclusions are drawn
in Section 8.
2. The dynamic beam equation
Denote by w(x, t)the beam’s deflection from the x-axis, the DBE is then
given by
µ(x)2w(x, t)
t2=2
x2E(x)I(x)2w(x, t)
x2+q(x, t), xlxxr, t > 0,
w(x, t) = f1(x),w(x, t)
t =f2(x), xlxxr, t = 0,
BL(w) = GL(t), x =xl, t > 0,
BR(w) = GR(t), x =xr, t > 0,
(1)
where E(x)is the elastic modulus of the beam, I(x)the second moment of
area of the beam’s cross-section, µ(x)the mass per unit length and q(x, t)the
external load. The initial data is f1,2(x). The boundary operators BL,R and
boundary data GL,R(t)determine the boundary conditions. For notational
clarity, we rewrite the PDE as
b(x)utt =(a(x)uxx)xx +F(x, t),(2)
where subscripts denote partial differentiation. Note that the functions
a(x) = E(x)I(x)and b(x) = µ(x)are positive. Throughout this paper
3
we will assume that the boundary data GL,R(t)and forcing function F(x, t)
are zero (all methods considered are equally applicable with general non-
homogeneous data).
3. Definitions
Let the inner product of two real-valued functions u, v L2[xl, xr]be
defined by (u, v) = Rxr
xluv dx and the corresponding norm by kuk2= (u, u).
The domain is discretized into mequidistant grid points given by
xi=xl+ (i1)h, i = 1,2, ..., m, h =xrxl
m1.(3)
A semi-discrete solution vector is given by v= [v1, v2, ..., vm]>, where vi
is the approximate solution at grid point xi. Let (u, v)H=u>Hv, where
H=H>>0, define a discrete inner product for discrete real-valued vectors
u, v Rm, and kvk2
H=v>Hv the corresponding norm. We also define
¯
H=H0
0H.(4)
The SBP operators used here are central finite difference operators with
boundary closures carefully designed to mimic integration-by-parts in the
semi-discrete setting. In this paper we present results for the 2nd, 4th and
6th order accurate fourth-derivative SBP operators presented in [18], the
following definition is central:
Definition 1. A difference operator
D4=H1N+eld>
3;l+d1;ld>
2;l+erd>
3;rd1;rd>
2;rapproximating 4/∂x4, us-
ing a 2pth-order accurate narrow-stencil in the interior, is said to be a 2pth-
order diagonal-norm fourth-derivative SBP operator if H=H>>0is diag-
onal, N=NT0,d>
1;lv≈ −ux|l,d>
1;rvux|r,d>
2;lv≈ −uxx|l,d>
2;rvuxx|r,
d>
3;lv≈ −uxxx|land d>
3;rvuxxx|rare finite difference approximations of
the first, second and third normal derivatives at the left and right boundary
points.
The matrix Ncan be decomposed in the following way:
N=˜
N+II d2;ld>
2;l+d2;rd>
2;r+h3αIII d3;ld>
3;l+d3;rd>
3;r,(5)
where ˜
N=˜
N>0and αII and αIII are positive constants not dependent
on h. In Figure 1 the values ensuring positive semi-definiteness of ˜
Nare
presented for the 2nd, 4th and 6th order accurate SBP operators used here.
4
2nd order
0 0.5 1 1.5
0
0.2
0.4
0.6
0.8
1
1.2
4th order
0 0.5 1 1.5
0
0.2
0.4
0.6
0.8
1
1.2
0 0
6th order
0 0.5 1 1.5
0
0.2
0.4
0.6
0.8
1
1.2
Figure 1: Influence of parameters αII and αIII on definiteness of ˜
N.
4. Homogeneous beam
4.1. Well-posedness
We begin by considering a homogeneous beam, i.e. a(x)and b(x)are
constant functions. Multiplying (2) by ut, integrating over the domain and
using integration by parts (the energy method) leads to
d
dtE= 2a[utuxxx +utxuxx]xr
xl,(6)
where Eis an energy defined as
E=bkutk2+akuxxk2.(7)
Assuming existence, well-posedness of (2) is achieved by imposing the mini-
mum number of boundary conditions such that the right-hand side in (6) is
non-positive with zero boundary data, i.e. the energy for the homogeneous
problem is non-increasing. For this problem the minimum number of bound-
ary conditions are two on each boundary [16]. In this paper we consider the
following homogeneous boundary conditions:
clamped: u= 0, ux= 0, x =xl,r,
free: uxx = 0, uxxx = 0, x =xl,r.(8)
Either combination of these lead to energy conservation,
d
dtE= 0.(9)
5
摘要:

BoundaryandinterfacemethodsforenergystablenitedierencediscretizationsofthedynamicbeamequationGustavEriksson,JonatanWerpers,DavidNiemelä,NiklasWik,ValterZethrin,KenMattssonDepartmentofInformationTechnology,UppsalaUniversity,POBox337,S-75105Uppsala,SwedenAbstractWeconsiderenergystablesummationbypar...

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