Bull Earthquake Eng (2015) 13:2629–2646 DOI 10.1007/s10518-015-9733-2 ORIGINAL RESEARCH PAPER
Simplified seismic assessment of multi-span masonry arch bridges Paolo Zampieri • Mariano Angelo Zanini • Claudio Modena
Received: 8 September 2014 / Accepted: 7 February 2015 / Published online: 15 February 2015 Ó Springer Science+Business Media Dordrecht 2015
Abstract The paper describes a simplified methodology for the evaluation of the seismic retrofit intervention types to be performed on clusters of multi-span masonry arch bridges, on the basis of the main bridges geometrical characteristics. The structural behaviour of the analysed sample bridges has been evaluated in their principal directions highlighting the potential local and global vulnerabilities and the related retrofit intervention typologies that need to be selected. The main aim of this study is to take the form of an useful tool for identify the best retrofit strategies for each masonry bridge structure in function of its geometrical characteristics and thus planning rationally the management of bridges belonging to rail and road networks. Keywords Bridge management Lifeline systems Masonry bridges Seismic retrofit Seismic assessment
1 Introduction Masonry arch bridges are commonly diffused in many quake-prone countries in the Mediterranean area. In last years a growing attention has been emerged due to their great importance for national road and rail networks. In particular referring to European railway networks, the majority of the existing bridges consist of masonry structures (Modena et al. 2014). In Italy, the railway system is relatively old: the first line was built in 1839 and it connected the Royal Palace of Naples to the seaside. The railway system was then characterized by a remarkable expansion after the IInd World War. Nowadays the need to rationally allocate resources for the improvement of the railway system performances and efficiencies of its structures, and in particular of its bridges, is emerging. Damage risk of
P. Zampieri M. A. Zanini (&) C. Modena Department of Civil, Environmental and Architectural Engineering, University of Padova, Via Marzolo 9, 35131 Padua, Italy e-mail:
[email protected]
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the most vulnerable bridges should be minimized to avoid significant economical and social losses. These requirements are evident in both road and railway transport networks (SB-ICA 2007). Therefore, their assessment is strongly needed by railway and local administrative authorities. Several procedures have been formulated in last decades in order to predict the behavior of those structures: the difficulty in representing the behavior of the material and the resistant skeleton requires the use of simplified but effective structural models. In particular the assessment could be based commonly on limit analysis (Heyman 1982; Gilbert and Melbourne 1994; Boothby 1995) or nonlinear incremental techniques (Audenaert et al. 2008; Brencich and De Francesco 2004; Molins and Roca 1998). The kinematic method, based on an adaptation of limit design for masonry structures, has proved to be a conceptually simple and robust procedure to verify the safety of masonry arch bridges under vertical loads. The method can also be applied for seismic assessment, providing a limit of bridge capacity under horizontal loads. Since Heyman (1966, 1972) noted that the plastic theory, initially formulated for steel structures, could also be applied to masonry structures, many studies have focused on limit analysis to assess the vertical load-bearing capacity of single- and multi-span masonry arches (Gilbert 2007). Heyman (1982) adopted some simplifying assumptions to perform the above analyses: absence of sliding between voussoirs; infinite compressive strength and no tensile resistance of masonry. With these hypotheses, arch failure occurs when a thrust line can be found, lying wholly within the masonry and representing an equilibrium state for the structure under acting loads, which allows the formation of a sufficient number of plastic hinges to transform the structure into a mechanism. Following Heyman’s assumptions, iterative methods to find the geometric safety factor, related to minimum arch thickness under dead and live loads, were proposed by Clemente et al. (1995). Several authors have incorporated crushing of masonry, which cannot sustain infinite compressive stresses (Gilbert 1998; Clemente et al. 2010). Sliding between adjacent blocks was introduced and evaluated by Gilbert and Melbourne (1994), who successfully modelled multi-span brickwork arch bridges. Cavicchi and Gambarotta (2005, 2007) implemented a finite element limit analysis model, in which infill material was modelled with a special triangular finite element to evaluate the arch-fill effect on the ultimate load-bearing capacity under vertical loads, considering detailed constitutive models (Fanning and Boothby 2001; Fanning et al. 2005). Regarding seismic vulnerability assessment of masonry arch bridges, in literature, many studies focused on local and global assessment methods of existing masonry bridges (Hughes and Blackler 1995; Boothby 1995; Brencich and De Francesco 2004; Rota et al. 2005; Pela` et al. 2009). Relatively recent research has been carried out on the application of limit analysis for assessing masonry arches under horizontal (seismic) loads. In particular, research has focused on the longitudinal behavior of arched structures. Some papers (Clemente 1997, 1998) have studied the dynamic response of a single masonry arch under base motion, providing the horizontal acceleration factor inducing the onset of motion, and analyzing the subsequent first half-cycle of vibration in free and forced conditions according to Heyman’s hypotheses. De Lorenzis et al. (2007) used discrete element modelling to predict the combinations of impulse magnitudes and durations which lead unreinforced masonry arches to collapse, and analysed the impact of rigid blocks over several cycles of motion. De Luca et al. (2004) examined the activation of semi-global and global mechanisms involving not only local arch failure but also the simultaneous formation of hinges in the arch and at the base of piers (or abutments).
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Several studies analyzed also the collapse of spandrel wall, as this represents the most vulnerable out-of plane local failure mechanism (Fanning and Boothby 2001; Boothby and Roberts 2001; Resemini and Lagomarsino 2004; Rota et al. 2005; Junzhe et al. 2013): it may affect structural functionality, but rarely causes bridge global failure. The overall deformed shape at collapse, involving transverse deflection of piers was obtained by Pela` et al. (2009, 2013) with numerical simulations according to non-linear static and non-linear dynamic analyses. In the context of a rational management plan over the years (Morbin et al. 2015), the seismic retrofit of a great number of those existing structures needs simplified and fast procedures for the evaluation of the main fragilities (Pellegrino et al. 2014) referring to bridges’ principal geometrical characteristic, considering also the health state of the structures (Zanini et al. 2013). This kind of approach could be performed by observing the typology of failure mechanism in the main structural directions in relation to the geometrical configuration of masonry arch bridges. In such way, this study aims to reconsider the seismic assessment of masonry arch bridges in an alternative maintenance point of view and to identify homogeneous groups of structures in relation to the tendency to show similar seismic damages and therefore analogous retrofit intervention approaches to be pursued during the rational bridges retrofit management plans. On the basis of these issues, the study explain the outcomes from the analyses carried out on two recurrent structural configurations of multi-span masonry arch bridges: for both configurations a set of sample bridges with different geometrical characteristics have been analysed valuating their structural behavior in presence of ground motion actions. The results have allowed to group the sample bridges into classes of prevailing structural behavior, with the aim of subsequently define standard retrofit applications to be followed in the management plans of significant clusters of bridges belonging to railway and roadway networks for averting the occurrence of local or global failure mechanisms.
2 Structural configurations and modelling techniques Two different structural configurations of multi-span masonry arch bridges have been taken into account in this study: a three-span and a five-span masonry arch bridge. This choice has been justified in the light of a preliminary analysis carried out on the structural behavior of masonry arch structures: in particular, a three-span structural configuration has been considered because it is representative also of the two-span typology, given that their abutments boundary conditions significantly influence the seismic behavior of these bridges. Regarding the other structural configuration, a five-span masonry arch bridge has been considered since its structural behavior should be representative of those masonry bridges characterized by a greater number of spans. This assumption is reinforced by the observation of many railway masonry arch viaducts characterized by a higher number of spans: in those cases, it was commonly diffused in construction practice to insert masonry abutment-piers characterized by sections greater than the other piers and high stiffness values, interposed every three–five (sometimes seven) masonry spans. These abutmentpiers were in fact designed to balance the thrust of the arches in the construction stage and, once in operation, if subjected to the collapse of single arches, to avoid the consecutive failure of the adjacent ones. For these reasons, due to the high stiffness of those structural elements, the assessment of masonry bridges composed by several spans could be lead back to the analysis of each modulus enclosed between two abutment-piers. The results obtained from the five-span structural configuration consider themselves to be therefore
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representative also for bridges characterized by numerous spans. Finally, with regard to a four-span structural configuration, the results can be obtained by interpolating the previous ones derived from the three- and five-span configurations. Figure 1 shows, as example, one of the 3D finite element models used in the analyses. The main distinction between the two considered structural configurations, in fact, is related to the failure mechanisms in both principal directions that could be significantly different for bridges with slender masonry piers due to their lower influence of the abutments’ boundary conditions. The ratios between arch length L and bridge width P often assume values such as the bridge transversal deformability is however reduced for two- and three-span structural configurations due to the deck’ stiffening effect provided by the abutments. In the case of numerous spans this stiffening effect becomes less influent, and consequently masonry piers are subjected to higher seismic actions if compared to the same acting on two- or three-span bridges having analogous geometrical characteristics. For each structural configuration two arch curvatures have been considered (semi-circular arch curvature with f/L = 0.5 and depressed arch curvature with f/L = 0.2, where f is the arch rise), as observed in many recurrent masonry arch bridges in the European railway and roadway networks. Every combination of structural typology and arch curvature values has been analysed considering series of sample bridges characterized by different H/B ratios, where H is the pier height and B is the pier width in longitudinal direction. The whole arches have been characterized with the same s/L ratio, where s represents the arch thickness. Table 1 lists the geometrical characteristics of the tested sample bridges. Sample bridges’ transversal width P has been assumed equal to 5 m, mean width value in the case of single railway line: this is the most vulnerable transversal configuration, characterized by the lowest width values and consequently the highest piers’ transversal slenderness. In the case of double railway lines, bridge transversal width increase up to 8–10 m, and in such geometrical configuration, transversal vulnerability decreases. The structural and geometrical configurations defined have then been modelled using the software MidasFEA (MidasFEA 2009): for masonry structures, the best modelling technique is usually chosen in function of the analysis objective between different modelling strategies and modelling levels (micro-modelling or macro-modelling).
Fig. 1 Representation of a finite element model realized for the structural configuration of the three-span masonry arch bridge
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Table 1 Representation of the main geometrical characteristics considered in the analysed sample bridges Spans No.
L (m)
s/L (–)
B (m)
H/B (–)
P (m)
f/L (–)
Babutment (m)
3
6
0.08
1.8
1–2–4
5
0.2–0.5
3.6
3
12
0.08
2.4
1–2–4
5
0.2–0.5
4.8
3
18
0.08
3.0
1–2–4
5
0.2–0.5
6.0
5
6
0.08
1.8
1–2–4
5
0.2–0.5
3.6
5
12
0.08
2.4
1–2–4
5
0.2–0.5
4.8
5
18
0.08
3.0
1–2–4
5
0.2–0.5
6.0
2D and 3D models implementing a macro-modelling approach have been adopted for finite elements discretization, where masonry was modelled as an homogeneous continuum, using six- and eight-node elements. The Total Strain Crack Model implemented in MidasFEA was used as constitutive law for masonry. More in detail, the Smeared Crack Fixed Model developed from the modified compression field theory proposed in Vecchio and Collins (1986) and later developed in Selby and Vecchio (1993) was used as damage model for cracking. The masonry material exhibits isotropic properties prior to cracking and anisotropic properties after cracking, the cracks being orthogonal to the directions of the main strains. The real construction sequence of the different structural elements (arches, spandrel walls, filling material) was take into account according to Bacigalupo and Gambarotta (2012) through a Construction Stage model implemented in MidasFEA able to simulate the effective dead load construction sequence. The main materials’ mechanical characteristics have been assumed in their mean values, considering masonry compressive strength fc equal to 5 MPa, masonry tensile strength ft equal to 0.1 MPa and elastic modulus EM equal to 5000 MPa. The filling material has been modelled considering Drucker–Prager constitutive law with an elastic modulus EF equal to 500 MPa, internal friction / = 37° and cohesion c = 10 kPa (Cavicchi and Gambarotta 2005). For both materials (masonry and filling material) a specific weight q equal to 18 KN/m3 and a Poisson coefficient m equal to 0.2 have been assumed. The constitutive model used for masonry (Fig. 2a) has been considered elasto-plastic in compression and elastic with linear softening in traction (fracture energy 0.0001 N/mm). This constitutive model allowed to well represent the arches’ failure mode as shown by the damage contour plot of Fig. 2b, where the typical four cracking hinges that arise in masonry arches subjected to longitudinal seismic actions can be clearly observed.
Fig. 2 Stress–strain curve adopted in the finite element models (a) and 2D model crack pattern for longitudinal non-linear static analyses of masonry arch bridges (b)
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3 Vulnerability analysis Once defined the main geometrical characteristics of the sample bridges to be tested, nonlinear pushover analyses have been carried out for the evaluation of the capacity curves in terms of peak ground accelerations (PGA) versus control point displacements. The displacements have been recorded both in longitudinal and transversal directions in correspondence of the top of the masonry arches and of the masonry piers’ summit. Vulnerability analyses have considered all possible global failure mechanisms and local ones such as to involve bridge off-duty (very irksome condition within the railway frameworks). In longitudinal direction the seismic vulnerability of a multi-span masonry arch bridge is influenced by longitudinal piers’ slenderness (H/B ratio) and f/L ratio: for low values of H/B ratio, the arches have an independent structural behavior with respect to piers and abutments giving place to local failure mechanisms, whereas at growing slenderness values the failure mechanism becomes a global collapse mechanism involving also masonry piers. The analysis of the results given from the finite element models have allowed to evaluate when the failure mechanism is local (squat piers) or global (slender piers). This classification, functional to the failure mechanism typology and consequently to piers’ longitudinal slenderness H/B, is besides useful in the transversal direction seismic assessment: also in this case, bridges’ seismic behavior depends on masonry piers transversal slenderness H/P, thus related to bridge transversal width P. The transversal failure mechanisms in the case of seismic actions could be divided in bending or shear failure modes: in the first case longitudinal cracks appear along masonry piers’ height, whereas in the second case inclined cracks split along the transversal width of the piers. In both cases the failure mechanism appears once the equilibrium condition of the structural elements becomes not satisfied and this condition implies the structural collapse. The analyses performed on the sample bridges listed in Table 1 have allowed to group these different structural and geometrical configurations tested in multi-span masonry bridge classes characterized by the same failure consequences, in the case of quake occurrence.
4 Numerical results Pushover analyses performed on 2D and 3D models have led to the assessment of peak ground accelerations (PGA) which turn the structures into global or local failure mechanisms and to the construction of the relative capacity curves. The results obtained from the analyses carried out on the 2D finite element models in longitudinal direction have been plotted in terms of ratios between peak ground accelerations corresponding to the occurrence of a local failure mechanism for the arch (PGAL) and the PGA values related to the creation of a global (arch-piers) mechanism (PGAG) with a consequent global failure mechanism appearance. PGAL and PGAG values have been obtained with N2 method (Fajfar and Gasˇpersˇicˇ 1996) and the spectra type adopted in this work refer to the elastic spectra type 2 (Ground type A) as referred in Eurocode 8 (2005) for the ultimate limit state (10 % exceedance probability during 50 years). PGAL has been assessed with a local arch model whereas PGAG has been estimated by using a global longitudinal 2D model of the entire bridge.
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Figures 3a (three-span) and 3b (five-span) show the PGAL/PGAG trends obtained for the different structural and geometrical configurations tested in this study: when the ratio is greater than 1, the main failure mechanism is the global one involving also masonry piers, whereas if the ratio is lower than 1, the bridge is affected by local failure mechanisms of their arches. The failure mechanism substantially depends from the H/B and f/L ratios, and quite apart from the geometrical dimensions: it has been observed how masonry arches with higher f/L values are more vulnerable than others characterized by lower f/L ratios. The results in terms of PGAL/PGAG ratios are substantially defined by the f/L ratio, whereas masonry piers’ slenderness H/B is less influent ratio under the same f/L conditions. For semi-circular masonry arch bridges, also in the case of slender piers, the four plastic hinges that define the collapse mechanism are generally localized in the arches involving a local failure mode; masonry piers characterized by low H/B values are instead substantially less vulnerable than the slender ones. In transversal direction, failure mechanisms have been identified on the basis of a critical evaluation of the results obtained from the pushover analyses performed on the sample bridges. Referring to their construction, capacity curves have been expressed in the ADRS (Acceleration Displacement Response Spectrum) plane and interpolated with an elastoplastic curve, defined by the yielding displacement dy and the ultimate displacement point represented by the displacement value du and the maximum peak ground acceleration PGAu, in both longitudinal and transversal directions. Figure 4 shows, as example, the results in terms of longitudinal displacements (a), transversal displacements (b) and maximum peak ground accelerations (c) obtained for the structural configuration of threespan semi-circular masonry arch bridges. The whole results obtained are briefly reported in Tables 2, 3, 4 and 5, highlighting how for growing H/B values the ultimate displacement du increases, whereas the maximum peak ground acceleration PGAu decreases. These analytical results should be useful for the design of the retrofit intervention solutions: for masonry arch bridges with squat piers it should be necessary to design a retrofit intervention which lead to increase the structural ductility, like pier jacketing or
Fig. 3 Representation of the PGAL/PGAG ratios in function of the different geometrical values considered for both three- (a) and five-span (b) masonry bridge structural configurations
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80
90
Dy - L=18m
Du - L=6m
60
Du - L=12m
50
70
Du - L=18m
40 30 20
Du - L=6m Du - L=12m
60
Du - L=18m
50 40 30 20 10
0
0 1
Peak Ground Acceleration [g]
Dy - L=12m
Dy - L=18m
10
c
Dy - L=6m
80
Dy - L=12m
70
Displacement [mm]
b
Dy - L=6m
Displacement [mm]
a
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2
3
4
1
2
H/B
3
4
H/B
0,9
L=6m - long.
0,8
L=12m - long. L=18m - long.
0,7
L=6m - transv. L=12m - transv.
0,6
L=18m - transv.
0,5 0,4 0,3 0,2 0,1 0,0 1
2
3
4
H/B
Fig. 4 Longitudinal displacements (a), transversal displacements (b) and maximum peak ground accelerations (c) obtained from the capacity curves for the structural configuration of three-span semicircular masonry arch bridges
Table 2 Displacements and maximum peak ground accelerations derived from the capacity curves of the three-span semi-circular masonry arch bridges Longitudinal direction
Transversal direction
H/B
1
2
4
1
2
4
H/B
du (mm)
15.000
14.973
18.787
12.913
21.462
26.161
L=6m
0.769
0.480
0.289
0.642
0.485
0.323
pgau (%g) dy (mm)
3.452
4.220
5.679
2.986
4.430
10.642
du (mm)
18.787
24.425
40.784
16.887
26.421
37.873
0.482
0.378
0.230
0.306
0.242
0.166
pgau (%g) dy (mm)
6.128
7.603
10.787
4.198
7.234
14.346
du (mm)
22.000
28.751
52.469
25.582
38.143
77.042
pgau (%g)
0.357
0.225
0.187
0.191
0.153
0.111
dy (mm)
9.154
12.000
17.552
9.036
12.639
23.238
L = 12 m
L = 18 m
other intervention typologies aimed to achieve higher displacement capacity levels. In the case of masonry arch bridges with slender piers it should instead be reasonable to design retrofit solutions which increase resistances, like the insertion of new resistant structural
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Table 3 Displacements and maximum peak ground accelerations derived from the capacity curves of the three-span depressed masonry arch bridges Longitudinal direction H/B
1
Transversal direction 2
4
1
2
4
H/B L=6m
du (mm)
2.114
15.738
28.152
14.000
19.372
27.849
pgau (%g)
0.850
0.599
0.323
0.769
0.650
0.395
dy (mm)
0.642
3.235
5.556
3.691
5.295
10.236
du (mm)
11.878
21.837
29.323
15.765
21.791
32.008
0.850
0.527
0.276
0.493
0.357
0.213
pgau (%g) dy (mm)
3.140
3.726
6.413
4.134
6.728
11.772
du (mm)
12.084
23.498
30.602
31.828
43.935
58.858
pgau (%g)
0.595
0.378
0.247
0.332
0.238
0.153
dy (mm)
3.865
4.786
11.256
7.792
11.911
14.448
L = 12 m
L = 18 m
Table 4 Displacements and maximum peak ground accelerations derived from the capacity curves of the five-span semi-circular masonry arch bridges Longitudinal direction
Transversal direction
H/B
1
2
4
1
2
4
H/B
du (mm)
13.667
30.263
37.155
14.537
42.538
26.433
L=6m
0.748
0.472
0.247
0.612
0.480
0.315
pgau (%g) dy (mm)
3.915
7.818
9.723
3.813
11.416
14.118
du (mm)
20.873
35.587
41.386
22.371
51.641
40.865
0.472
0.368
0.217
0.298
0.238
0.162
pgau (%g) dy (mm)
6.460
9.712
11.744
7.120
13.852
15.000
du (mm)
30.698
39.708
55.735
30.804
52.512
53.530
pgau (%g)
0.340
0.238
0.179
0.183
0.153
0.106
dy (mm)
9.393
9.921
19.798
8.750
14.152
26.951
L = 12 m
L = 18 m
Table 5 Displacements and maximum peak ground accelerations derived from the capacity curves of the five-span depressed masonry arch bridges Longitudinal direction
Transversal direction
H/B
1
2
4
1
2
4
H/B
du (mm)
L=6m
11.785
14.895
25.256
14.669
21.702
31.068
pgau (%g)
0.850
0.761
0.285
0.769
0.633
0.387
dy (mm)
3.890
4.689
7.113
4.198
7.894
14.887
du (mm)
4.862
24.225
29.120
22.784
26.357
34.519
pgau (%g)
0.850
0.493
0.255
0.485
0.353
0.208
dy (mm)
2.897
7.235
8.357
6.762
7.156
9.112
du (mm)
13.543
31.833
31.804
56.836
44.065
43.191
pgau (%g)
0.769
0.408
0.230
0.323
0.234
0.145
dy (mm)
6.111
8.914
12.657
13.560
14.679
15.991
L = 12 m
L = 18 m
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Fig. 5 Representation of the strain status at increasing seismic acceleration values for the three-span sample bridge with arch length equal to 18 m, f/L = 0.5 and H/B = 2
elements coupled with the existing masonry structures. In the following two specific sample bridge configurations characterized by different transversal failure mechanisms are shown as example. Strain modes have been evaluated for significant peak ground acceleration values, analysing the relative displacement profiles on both compression and traction sides (Figs. 5, 6), the correlated crack patterns (Figs. 7, 8) at different pier height levels along their width and subsequently evidencing the vectorial main stress trends (Fig. 9) for the masonry piers of the two sample bridges shown. Capacity curve trends have highlighted how seismic vulnerability considerably increases for growing masonry pier slenderness values (H/B ratio), whereas f/L ratio and bridge spans’ number are less influent parameters. The careful valuation of the structural behavior of each sample bridge has led to group them in two different general masonry
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Fig. 6 Representation of the strain status at increasing seismic acceleration values for the five-span sample bridge with arch length equal to 6 m, f/L = 0.2 and H/B = 2
arch bridge classes defined in function of the transversal failure typology prevailing among shear and bending failures. Two different failure mechanisms types have been enquired: shear failure with the apparition of a major diagonal crack or the collapse mechanism is due to a combined bending axial force failure. The observation of the analysis outcomes in terms of crack patterns, principal strains and principal stresses contours has allowed to understand the failure typology for each tested sample bridge. In the case of failure
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Fig. 7 Representation of the crack status at increasing seismic acceleration values for the three-span sample bridge with arch length equal to 18 m, f/L = 0.5 and H/B = 2
mechanisms due to the creation of plastic hinges with cracks at the piers base, the analysis of the principal stress contours highlights how the compressed pier base section part has achieved its maximum capacity so the structure is involved in a collapse mechanism due to combined bending axial force failure (Figs. 5, 7). On the contrary, in the case of shear failure, stresses in the piers base section are lower than the maximum masonry compressive strength (Fig. 6) but the observation of the crack pattern evidences the apparition of an inclined crack along piers transversal width (Fig. 8). These observations are confirmed also analyzing the vectorial stress trends in both the masonry piers reported in Fig. 9. Figure 10 summarizes the results of this study, integrated by analysing some further geometrical configurations characterized by intermediate H/B values (in particular H/B = 1.5–3) with respect to those defined in Table 1, with the aim of
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Fig. 8 Representation of the crack status at increasing seismic acceleration values for the five-span sample bridge with arch length equal to 6 m, f/L = 0.2 and H/B = 2
more clearly demarcate the limit between the two main transversal failure typologies described above. In Fig. 10 the whole cases in which a combined bending axial force failure has been detected are marked with red dots whereas the other ones for which a shear failure has been observed are marked with blue dots. In the diagrams the boundary lines subdividing the two investigated transversal failure modes were represented: the lines and
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Fig. 9 Representation of the vectorial stresses for the three-span sample bridge with arch length equal to 18 m, f/L = 0.5 and H/B = 2 (a) and for the five-span sample bridge with arch length equal to 6 m, f/L = 0.2 and H/B = 2 (b)
their linear trends have qualitative character and are reported for better understanding the transversal behavior of the analyzed bridge configurations. As expected, shear failure appears in presence of low H/B ratios, whereas for higher piers’ slenderness the collapse mechanism is due to a combined bending axial force failure. Growing arch length L values involve instead an increasing probability of bending failure occurrence. Finally, the diagrams confirm how, in presence of analogous geometrical configurations, shear failure range is wider for lower f/L values. In such way, on the basis of the outcomes of the analyses carried out in longitudinal (Fig. 3) and transversal direction (Fig. 10) it is possible to group masonry arch bridge cluster is subclasses characterized by the same failure modes and thus better planning the seismic retrofit measures to be adopted for averting seismic damages in case of quake occurrence.
5 Seismic retrofit management framework for masonry arch bridges On the basis of the results explained above, a proposal of Seismic Retrofit Management Framework (SRMF) for the seismic vulnerability assessment and retrofit of multi-span masonry arch bridges could be structured as shown in Fig. 11. The proposed SRMF is composed by a set of modules which allow to quickly define a preliminary estimation of the direct costs of the retrofit interventions to be performed on clusters of masonry arch
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Fig. 10 Transversal failure mechanism for three-span masonry arch bridges with f/L = 0.5 (a) or f/L = 0.2 (b) and for five-span masonry arch bridges with f/L = 0.5 (c) or f/L = 0.2 (d)
bridges. First, the Geometrical Survey Module requires a geometrical survey of the structures to be assessed for the evaluation of the main geometrical parameters: in particular, arch length L, arch rise f, arch thickness s and longitudinal (H/B) and transversal (H/P) pier slenderness are required. This information is then entered in the Seismic Vulnerability Assessment Module, that allow to identify the main local/global vulnerabilities in both longitudinal and transversal directions—on the basis of the results previously obtained—and the subsequent retrofit interventions typologies to be performed for averting potential failure mechanisms. As described above, a public authority or a private company dealing with the maintenance of bridge structures, should identify a series of typological retrofit interventions (in relation to
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Fig. 11 The seismic retrofit management framework for masonry arch bridges
the specific stock to be managed): for example, masonry arch bridges with squat piers should be strengthened increasing structural ductility, with typological interventions like pier jacketing or other solutions aimed to achieve higher displacement capacity levels. In the case of masonry arch bridges with slender piers it should instead be reasonable to design retrofit solutions which increase resistances, like the insertion of new resistant structural elements coupled with the existing masonry structures. Finally, results obtained from the Vulnerability Assessment Module are used in the final Seismic Retrofit Costs Module for a preliminary cost estimation of the retrofit intervention. In particular, on the basis of the identified typological retrofit intervention and in relation to the main geometrical characteristics, needed for estimating the retrofit intervention quantities (e.g. m2, ml, number of elements, etc.), it is possible to quickly quantify a preliminary cost value for each of the masonry arch structures belonging to a managed asset of bridges.
6 Conclusions This paper describes a simplified methodology for the definition of standard seismic retrofit interventions to be performed on clusters of multi-span masonry arch bridges, in relation of
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their main geometrical characteristics. On the basis of the structural behavior in the two main directions and the potential local or global vulnerabilities, the analysed sample bridges have been grouped in classes characterized by the same prevailing failure mechanisms. In longitudinal direction global or local failure mechanisms were investigated whereas in transversal direction shear collapse with the apparition of a major diagonal crack or the combined bending axial force collapse were considered as main failure mechanisms. In this way, in the case of a rapid screening of a great number of these structures belonging to a railway or roadway network in quake-prone countries, on the basis of the analyses outcomes in longitudinal (Fig. 3) and transversal direction (Fig. 11), known the main geometrical characteristics of each bridge, it is possible to group masonry arch bridge cluster is subclasses characterized by the same failure modes and thus better planning the seismic retrofit measures to be adopted for averting seismic damages in case of quake occurrence. This work reconsiders therefore the seismic assessment of masonry arch bridges in an alternative ‘‘maintenance point of view’’ and allow to identify homogeneous groups of structures in relation to the tendency to show similar seismic damages and therefore analogous retrofit countermeasures to set up. Finally, a proposal of a Seismic Retrofit Management Framework (SRMF) for multispan masonry bridges was described. The proposal aims to create an useful tool in bridge management operations of railway and roadway networks at territorial scale (Carturan et al. 2014), for the results lead to preliminary estimate the seismic retrofit intervention typologies (and thus their costs) to be executed in relation to the potential structural vulnerabilities of the existing bridges.
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