Finite element mesh size effect on deformation predictions of reinforced concrete bridge girder/Baigtiniu elementu dydzio itaka gelzbetoniniu tiltu perdangu deformaciju skaiciavimo rezultatams/Galigo elementu tikla izmeru ietekme uz deformaciju noteiksanas precizitati dzelzsbetona tiltu sijam/Loplike elementide vorgu suuruse moju armeeritud betoonsilla tala ennustatavale deformatsioonile.
Gribniak, Viktor ; Kaklauskas, Gintaris ; Idnurm, Siim 等
Loplike elementide vorgu suuruse moju armeeritud betoonsilla tala
ennustatavale deformatsioonile
1. Introduction
Deformational behaviour of cracked reinforced concrete (RC) members
is a complex process including a wide range of effects, such as,
different strength and deformation proper-ties of steel and concrete,
concrete cracking, tension-softening and tension-stiffening, bond slip
between reinforcement and concrete, etc. Rather than attempting to
provide a complete mechanical description of the behaviour of concrete,
reinforcement and their interaction, physical models are aimed at which
are as simple as possible and reflect the main influences governing the
response of structural concrete.
Different methods have been utilised to study the response of
structural components. The use of numerical methods to study these
components has also been used. Unfortunately, early attempts to
accomplish this were computationally ineffective. In recent years,
however, the use of finite element (FE) analysis has increased due to
progressing knowledge and capabilities of computer software and hardware
(Gribniak et al. 2006, 2008; Kaklauskas et al. 2008). Numerical
techniques have been intensively progressing for last decades and
commercial FE softwares (MSC MARC, ABAQUS, DIANA, SBETA, ATENA, etc.)
now offer a useful tool for analysis of RC structures (Grib niak et al.
2006, 2007; Mang et al. 2009).
Present study was aimed at investigation of FE mesh size effect on
deformation predictions of RC bridge girder. Based on two main
approaches of tension-stiffening, analysis of RC elements has been
performed using FE package ATENA.
2. Approaches in tension-stiffening
In the early development of the theory of RC, deformation problems
were simply ignored. First attempts to assess deflections of flexural RC
members were based on classical principles of strength of materials.
However, elastic calculations may significantly underestimate
deflections of cracked members. On the other hand, disregard of the
tensile concrete may lead to a significant overestimation of
deflections, particularly for lightly reinforced members. The intact
concrete between cracks carries tensile force due to the bond between
the steel and concrete. The average tensile stress in the concrete can
be a significant fraction of the tensile strength of concrete. This
effect is called by tension-stiffening and is often accounted for in
design by an empirical adjustment to the stiffness of the fully cracked
cross-section.
Many theoretical models of RC in tension have been proposed to
predict cracking and deformations of RC members. Generally, these models
may be separated into four main approaches (Gribniak 2009):
--Semi-empirical: the earliest approaches were developed based on
the analysis of test data. Such simplified calculation techniques are
broadly presented in the design codes;
--Stress transfer: these approaches aim at modelling bond between
concrete and reinforcement steel;
--Fracture mechanics: such approaches use the fracture mechanics principles to predict cracking behaviour of plain and reinforced
concrete elements;
--Average stress-average strain: simple approaches, extensively
used in numerical analyses, based on smeared crack model.
Present study employs the latter two approaches.
2.1. Fracture mechanics
Initiated in 1960th by Kaplan (1961), the study of fracture
mechanics has progressed by the turn of the century. Kesler et al.
(1972) showed that the linear-elastic fracture mechanic model of sharp
cracks was inadequate for concrete structures. Inspired by the softening
and plastic models of the fracture process zone (FPZ) initiated in the
works of Barenblatt (1962) and Dugdale (1960), Hillerborg et al. (1976)
have proposed the first nonlinear theory of fracture mechanics for
concrete. In order to illustrate the size dependence in a simple and
dimensionless way, Hillerborg introduced the concept of a characteristic
length, lcli, as a unique material property:
[l.sub.ch] = [G.sub.F][E.sub.c]/[f.sup.2.sub.ct] (10)
where [G.sub.F]--the fracture energy, defined as the energy
required forming a complete crack; [E.sub.c] and [f.sub.ct]--the
deformation modulus and tensile strength of concrete.
The fictitious crack model (Hillerborg et al. 1976) is a suitable
and simple model for FPZ, which may be viewed as a specialisation of
other more general approaches (Elices et al. 2002). For example, Broberg
(1999) for materials that fail by crack growth and coalescence depicts
the appearance of FPZ in a cross-section normal to the crack edge. He
proposes to describe FPZ, in general, by decomposing it into cells. The
behaviour of the single sell is defined by relationships between its
boundary forces and displacements. This is very similar to the
definition of FE in computations, and when these cells are assumed to be
cubic (or prismatic) and to lie along the crack path, the resulting
model is very similar to the smeared crack approach used for concrete,
and, more specifically to the Bazant's crack band approach (Bazant,
Planas 1998). The latter model was found to be in good agreement with
the basic fracture data (Bazant, Oh 1983), and has been recognised
convenient for programming. It is nowadays the crack band model used in
industry and commercial FE codes: DIANA (Rots 1988), SBETA (Cervenka,
Pukl 1994; Cervenka et al. 1998) and ATENA (Cervenka et al. 2002).
Fig. 1a presents FE model of a homogeneous plain concrete element
subjected to a uniaxial tension. In this model the deformational
behaviour can be determined using the softening curve shown in Fig. 1b.
The area under the softening curve is defined as the fracture energy GF.
Though a simple softening curve is shown in Fig. 1, a variety of
advanced constitutive models have been proposed. Some of them were
reviewed by the authors (Gribniak 2009; Kaklauskas 2001, 2004). It
should be pointed out that if a crack is assumed to occur in a single
element, then obtained relationship becomes a function of FE length h.
[FIGURE 1 OMITTED]
2.2. Average stress-average strain
This simple approach, extensively applied in numerical analyses, is
based on use of average stress-strain relationship. The approach
introduced by Rashid (1968) is based on smeared crack model, i.e. the
cracks are smeared out in the continuous fashion and the cracked
concrete is assumed to remain a continuum. The concrete becomes
orthotropic with one of the material axes being oriented along the
direction of cracking.
Differently from the discrete crack model tracing individual
cracks, smeared crack model deals with average strains and stresses.
This model can handle single, multiple and distributed cracks in a
unified manner. Thus, it can be used for both, plain and RC structures
(Cervenka 1995). In FE analysis, smeared crack model has proven to be
more flexible and more computationally effective concerning the discrete
crack model since no topological constraints exist.
Most of the continuum-based FE methods incorporate
tension-stiffening by the constitutive law of tensile concrete (Barros
et al. 2001; Ebead, Marzouk 2005; Kaklauskas et al. 2007; Lin, Scordelis
1975; Prakhya, Morley 1990; Suidan, Schnobrich 1973). In present
research, behaviour of RC member is modelled assuming a uniform
tension-stiffening relationship over the whole tension area of concrete.
Stress in the concrete is taken as the combined stress due to
tension-stiffening and tension-softening, collectively called the
tension-stiffening. Based on the above approach, a number of
stress-strain relationships for cracked tensile concrete have been
proposed. Kaklauskas (2001, 2004) and Bischoff (2001) have carried out a
comprehensive review of the relationships.
3. FE size effect on post-cracking behaviour
It is obviusly that fracture energy in the real structure must be
constant for any piece of material. In FE analysis above assumption
requares that the strains in each FE should constant over a bandwidth,
[[delta].sub.e]:
[G.sub.F] = [[delta].sub.e] x [g.sub.F] = [[delta].sub.e] x
[integral][sigma]d[epsilon] = const, (2)
where [sigma] and [epsilon]--the stress and displacement across the
crack initiation zone; [g.sub.F]--the work dissipated for the creation
of a unit area of fully developed crack. In above equation, the
bandwidth may be assumed equal to the FE size, h (Fig. 1). For an
obtained 6e the total energy dissipation in the element can be defined:
[G.sub.F,e] = [[delta].sub.e] x [G.sub.F]. (3)
However, if the bandwidth is estimated incorrectly, obtained
[G.sub.F,e] is also inaccurate as well as the resulting
load-displacement predictions (Gribniak et al. 2007). Various
possibilities defining [[delta].sub.e] exist.
In crack band model (used in ATENA) the ratio of the FE size, h, to
the characteristic length, [l.sub.ch], called the scaling factor, is
used to adjust the average slope of postpeak softening curve (Fig. 2).
The user specifies a constitutive relationship for the basic case
h/[l.sub.ch] = 1. As far as possible, the size of FE is assuming equal
to [l.sub.ch]. Vofechovsky (2007) has assumed [l.sub.ch] equal to 8 cm,
whereas, Reinhardt (1996) has proposed to take it from 10 to 50 cm. If,
for computational effectiveness, the mesh size needs to be larger, the
post-peak portion of the assumed tension-stiffening relationship is
scaled horizontally as shown in Fig. 2. The FE size effect on
post-cracking behaviour of RC members has been discussed in more details
by Gribniak et al. (2007).
4. Numerical experiment using FE software ATENA
In order to study FE mesh size effect on deformation predictions of
RC elements, a numerical experiment has been performed. The data of
three RC beams tested by the authors has been employed. All specimens
were of rectangular section with nominal length 3280 mm (span 3000 mm).
Concrete mix proportion was selected to assure C35/45 class and was
taken to be uniform for all experimental specimens. Main parameters of
the beams are given in Table 1.
[FIGURE 2 OMITTED]
Three layers of the tensile reinforcement were placed in the first
two beams, whereas the third beam had two layers. The effective depth d
(Table 1) is taken in regard to the centroid of the reinforcement area.
It should be noted that such reinforcing scheme is characteristic to the
RC bridge girders. Only half of the beam was modelled due to symmetry
conditions. As shown in Fig. 3, the beams were modelled taking five
different FE mesh sizes, h: 8.5; 15; 30; 50 and 80 mm.
[FIGURE 3 OMITTED]
FE model of the specimen was considered in a plane stress state
with non-linear constitutive laws for concrete and reinforcement. An
isoparametric quadrilateral finite element with four integration points
was used.
Each analysis was performed using two approach of
tension-stiffening modelling based on: fracture mechanics and average
stress-average strain. In the first approach, the linear crack opening
law has been used (Fig. 1b). Since GF was not measured experimentally, a
default value offered by ATENA was applied (Cervenka et al. 2003):
[G.sub.F] = 2.5 x [10.sup.-5] x [f.sub.ctm] (4)
were [f.sub.ctm]--the tensile strength of concrete, MPa (Table 1).
In the second approach, a linear tension-stiffening model shown in
Fig. 1c has been employed. According to Eq (4) and (5), both approaches
were related by this relationship:
[epsilon] = w/[delta]; [[epsilon].sub.ult] =
[w.sub.c]/h=[2G.sub.F]/[f.sub.ctm]h=5x[10.sup.5]/h. (5)
Fig. 4a shows curvatures predicted by two tension-stiffening
approaches:
--fracture energy based on a linear stress-crack width relationship
(Fig. 1b). The fracture energy was obtained by Eq (4);
--using a linear average stress-average strain relationship (Fig.
1c). The ultimate strain was obtained by Eq (5).
5. Accuracy analysis
Accuracy analysis has been performed to evaluate agreement of the
measured and theoretical curvatures calculated for different FE mesh
sizes (Fig. 3). The analysis is based on the statistical procedure
proposed by the first author (Gribniak 2009) and described below.
5.1 Sliced data transformation
The beams possessed reinforcement ratio p ranging from 0.3 to 1.0%
(Table 1) and, therefore, had different ultimate strength. To ensure
even contribution of each test specimen and consistency of the
statistical analysis, a procedure called the sliced data transformation
was employed. It is based on following steps:
Step 1. Curvatures were calculated by both techniques using
different FE mesh sizes.
Step 2. The transformation is made by introducing 11 levels of
loading intensity M taken in relative terms between the cracking and
ultimate bending moment:
[bar.M] = M - [M.sub.cr]/[M'.sub.ult] - [M.sub.cr]; [bar.M] =
{0;0.1;...0.9;l}, (6)
where [M'.sub.ult]--the reference ultimate bending moment
calculated for each member under assumption of yielding strength 500 MPa
for tensile reinforcement; [M.sub.cr]--the reference cracking moment
according CEB-FIB Model Code 1990: Design Code (CEB_FIP Model Code
1990):
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (7)
where [I.sub.el]--the moment of inertia of the uncracked section;
[y.sub.t] is the distance of the extremely tensile layer from the top
edge of the section; [f.sub.cm]--the compressive cylinder strength of
concrete (Table 1). According to Eq (6), [bar.M] = 0 and [bar.M] = l
correspond to reference cracking and failure of the RC element,
respectively.
Step 3. As shown in Fig. 4, the experimental and calculated
diagrams were sliced at the above loading levels (shown by horizontal
lines). The target points were derived by means of linear interpolation.
Step 4. Accuracy of the predictions was estimated by means of a
relative error A calculated at each level M for each of the test beams
according CEB_FIP Model Code 1990:
[DELTA] = [k.sub.calc]/[k.sub.obs], (8)
were [k.sub.calc] and [k.sub.obs] are the mid-point curvatures
interpolated at the level [bar.M] from calculated and original test
data, respectively.
5.2. Analysis of the results
The error [DELTA] is considered as a random variable; therefore,
methods of statistics can be used for accuracy assessment of deflection
prediction. Statistics estimating the central tendency and variability
serve to measure precision of the predictions. The central tendency can
be regarded as a consistency parameter of a calculation method. The
postulate of minimum variance was used to evaluate accuracy of a model.
The type of distribution of a random variable is very important for
making sound conclusions of the statistical analysis. To check whether
the probability distribution is normal, a normality test, proposed by
Durbin (1961), was performed.
The analysis has shown that the distribution of probability of the
relative error [DELTA] is normal. Thus, the central tendency and the
variability are reflected by the expectation [[mu].sub.[DELTA] and the
variance [[sigma].sup.2.sub.[DELTA]]. These parameters can be estimated
by the sample mean [m.sub.[DELTA]] and the standard deviation
[s.sub.[DELTA]].
Above statistics are given in Table 2. Each statistics was derived
from a sample which contains 33 data points. Two main statistical
conclusions about accuracy of curvature predictions can be drawn: 1) it
is independent from type of tension-stiffening approach used in the FE
analysis; 2) FE mesh size effect on the accuracy is significant. The
obtained results are illustrated by Fig. 4a.
The observed mesh-dependence allows taking into account the
structural size effect, i.e. the increasing of member strength with
decreasing of its size (Cervenka, Pukl 1994). This can be performed when
the numerical models of the structural elements, having different
geometrical sizes, will contain the same number of FE. However, above
effect may attribute some extra stiffness to RC member in case of fine
FE meshes.
To reduce mesh-dependence, it is proposed to introduce scaling
factor [[delta].sub.(1)[right arrow](2)]:
[[delta].sub.(1)[right arrow](2)] = [square root of h(2)/h(1)], (9)
where h(1) and h(2)--the reference and the actual sizes of the FE
mesh, respectively.
[FIGURE 4 OMITTED]
This factor reduces the deformation energy, dissipated in the FE
after cracking. Scaling is performed by adjusting the descending branch
of the constitutive relationship with change of FE mesh size. The
scaling factor is multiplied by [G.sub.F] (in the first approach) or by
[[epsilon].sub.ult] (in the second approach).
Analysis of the results, listed in Table 2, indicates that the best
accuracy of the predictions has been reached when 50 mm meshing was
used. Therefore, for further analysis, this FE size was taken as the
reference size.
The moment-curvature relationships calculated after scaling are
shown in Fig. 4b. The figure clearly demonstrates that the applied
technique reduces mesh-dependence. In support to this, a statistical
analysis has shown that mesh-dependence has become insignificant
(compare the statistics presented in Tables 2 and 3).
6. Modelling of RC bridge girder
Post-cracking deformational behaviour of a typical three-span RC
framed bridge, subjected to uniformly distributed load q has been
investigated. Main geometrical parameters of the overpass are shown in
Fig. 5. All material parameters were assumed the same as for beam S2-1
(Table 1). As shown in Fig. 6, the bridge was modelled taking four
different mesh sizes, h: 50; 100; 200 and 400 mm. Each FE simulation was
performed using two concepts of tension-stiffening based on: fracture
mechanics and average stress-average strain.
[FIGURE 5 OMITTED]
[FIGURE 6 OMITTED]
First, mid-span deflections (section C-C in Fig. 5) were calculated
applying the reference (no scaling) tension-stiffening models, i.e. GF
was calculated by Eq (4) (in the first approach) and ultimate strain by
Eq (5) (in the second approach). The predicted load-deflection diagrams
are given in Fig. 7a. Similar extent of mesh-dependence to that obtained
in the previous analysis (Fig. 4a) can be stated.
Second, the analysis was executed applying scaled
tension-stiffening relationships. The reference mesh size equal to 50 mm
was used. The calculated deflections are presented in Fig. 7b. As in the
previous analysis, the applied scaling technique was capable reducing
mesh-dependence. However, though scaling reduces mesh-dependence, it
does not eliminate the effect completely. Other factors having influence
on the above effect might be the cracking pattern, numerical
peculiarities of the solution procedure and etc.
[FIGURE 7 OMITTED]
Finally, cracking behaviour of the overpass was analysed. Fig. 8
presents the crack pattern modelled using fracture mechanics approach.
The figure clearly demonstrates that the finest meshing most
realistically predicts the crack pattern. It can be observed that in the
reference model, the cracking pattern and the maximal crack widths were
affected by change of FE mesh size (see Fig. 8a), whereas it was far
less sensitive after scaling (see Fig. 8b).
[FIGURE 8 OMITTED]
7. Concluding remarks
The FE size effect in curvature analysis has been investigated.
Numerical modelling has been performed using two approaches of
tension-stiffening based on: fracture mechanics and average
stress-average strain. Based on the obtained results, a statistical
analysis of accuracy of the predictions has been carried out. Two main
conclusions were made. First, the accuracy was independent from the
approach of tension-stiffening. Second, the accuracy was strongly
mesh-dependent, which was found to be statistically significant.
A scaling technique has been proposed to reduce mesh-dependence. A
simple formula has been proposed for adjusting the length of the
descending branch of the tension-stiffening relationship with change of
mesh size. It was shown that the proposed technique was capable reducing
the mesh-dependence. Though the technique reduces dependence of
calculation results on mesh size, it does not eliminate the effect
completely. Other factors affecting the calculation results might be the
cracking pattern, numerical peculiarities of the solution procedure,
local effects due to discrete location of the reinforcement bars and
etc.
Dependence of mesh size effect on deformations and cracking has
been investigated for a typical three-span RC bridge girder. It was
shown that the finest meshing most realistically predicts the crack
pattern. In the reference model, the cracking pattern and the max crack
widths were affected by change of FE mesh size, whereas it was far less
sensitive after scaling. The proposed technique is recommended in cases
of rough meshing to avoid extra stiffness.
Acknowledgement
The authors gratefully acknowledge the financial support provided
by the Agency of International Programs of Scientific and Technology
Development in Lithuania.
doi: 10.3846/bjrbe.2010.03
Received 29 January 2010; accepted 7 January 2010
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Viktor Gribniak (1), Gintaris Kaklauskas (2), Siim Idnurm (3),
Darius Bacinskas (4)
(1 2, 4) Dept of Bridges and Spec Structures, Vilnius Gediminas
Technical University, Sauletekio al. 11, 10223 Vilnius, Lithuania
E-mails: (1) Viktor.Gribniak@vgtu.lt; (2) Gintaris.Kaklauskas@vgtu.lt;
(4) Darius.Bacinskas@vgtu.lt (3) Dept of Bridge Constructions, Tallinn
University of Technology, Ehitajate 5, Tallinn, 19086 Estonia, E-mail:
Siim.Idnurm@ttu.ee
Table 1. Main characteristics
of the test specimen
Beam h b d
mm
S1-1 299 282 248
S2-1 301 279 254
S3-1-1 305 280 271
Beam [a.sub.2] [a.sub.s1] [a.sub.s2]
[mm.sup.2]
S1-1 25 696
S2-1 30 430 57.3
S3-1-1 39 229
Beam fcm fctm p
MPa %
S1-1 49.7 3.53 1.00
S2-1 49.4 3.52 0.61
S3-1-1 47.8 3.39 0.30
Table 2. Basic statistics (sample mean and
standard deviation) derived for both
tension-stiffening approaches
Approach Fracture mechanics (1)
h, mm 8.5 15 30 50 80
[m.sub.[DELTA]], mm 0.74 0.78 0.93 1.16 1.33
[s.sub.[DELTA]], mm 0.24 0.23 0.27 0.31 0.46
Approach Average stress-strain (2)
h, mm 8.5 15 30 50 80
[m.sub.[DELTA]], mm 0.73 0.78 0.89 1.08 1.13
[s.sub.[DELTA]], mm 0.23 0.23 0.27 0.29 0.30
Table 3. Basic statistics derived for both
tension-stiffening approaches after scaling
Approach Fracture mechanics (1)
h, mm 8.5 15 30 50 80
[m.sub.[DELTA]] 1.16 1.07 1.09 1.16 1.13
[s.sub.[DELTA]] 0.30 0.25 0.29 0.31 0.30
Approach Average stress-strain (2)
h, mm 8.5 15 30 50 80
[m.sub.[DELTA]] 1.05 1.00 1.03 1.08 1.00
[s.sub.[DELTA]] 0.18 0.19 0.26 0.29 0.27