Abstract
Calculation of load-carrying capacity of old railway masonry arch bridges as crucial infrastructures is one of the vital issues in the railway industry. The field test of the 2PL20 bridge reveals important properties such as the initial stiffness and cracking pattern, but the ultimate capacity of the bridge under static loading was not achieved due to the field limitations. Therefore, the present study aims to predict the total nonlinear response of the 2PL20 bridge up to the failure status. All the geometrical characteristics of the 2PL20 bridge are modeled precisely and the failure state is predicted using the three-dimensional nonlinear finite element analysis. Moreover, to determine the load-carrying capacity of the 2PL20 bridge, the behavior of materials is regarded nonlinearly in which the Williams and Warnke and the Drucker-Prager failure criteria are taken into account for concrete and soil materials, respectively. To obtain precise results of ultimate capacity of the 2PL20 bridge under field test, the vertical and horizontal displacements of the crown on the northern span are chosen as the calibration criterion and, consequently, the vertical and horizontal load-deformation curves are verified based on the field test results. The obtained results indicate that the load-carrying capacity of the 2PL20 bridge equals 8880 kN under the static field test. Finally, the calculated safety factor is equal to 3.2 and increasing axial load up to 35-ton is admissible based on UIC 776-1 for a 25-ton axial load.
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1 Introduction
Assessment of old masonry arch bridges is an important issue for engineers and researchers. While the structural parts require an accurate modelling, the complicated behavior of such structures leads to field load testing. The structural behavior and load-carrying capacity of the masonry arch bridges have been studied frequently by many ways from the past to the present. Totally, these approaches are divided into three main groups: empirical, analytical, and numerical methods. In all the three groups, the experimental test is an essential part of the study. The first one, proposed by the British defense research unit in 1946, led to the semi-empirical method, which was named Military Engineering Experimental Establishment (MEXE) [1]. This method was developed to quick assessment of masonry arch bridges. The MEXE is based on the classic theoretical approaches to study the stability of masonry arches. This method has been extended in recent years and reported in Ref. [2]. The most important analytical methods are the mechanism and limit analysis methods, the former was extracted by Heyman’s works as an equilibrium-based model and subsequently the latter was developed based on Heyman’s works [3]\(\text{.}\) As a frequently used method, the limit analysis is currently implemented in the Ring limit state software. Then, the numerical methods are used as a powerful alternative approach with no limitations. The most important approaches used as a numerical method to assess the masonry arch bridges are finite element and discrete-element methods [4]. These two methods are used in macro-modeling [5], meso-modeling [6], and micro-modeling approaches [7] for one-dimensional [8], two-dimensional [9], and three-dimensional [10] modeling of masonry arch bridges.
The finite element analysis of masonry arches was first conducted in the 1980′s by the use of one-dimensional modeling (curved and cone beam elements) [11]. Subsequently, the finite element method has been widely used for modeling masonry arch bridges [12, 13]. In 2002, for example, the service load of masonry arch bridges was evaluated by the three-dimensional nonlinear finite element method in mesoscale approach [14]. In 2012, the micro-modeling technique was used by finite element approach to predict the ultimate capacity of two stone arch bridges under static loads [15]. To overcome the finite element method restriction, the discrete element method as an alternative has also been widely used in the last decades in micro-scale approach to determine load-carrying capacity of masonry arch bridges [16, 17]. For example, the effect of construction method on the load-bearing capacity of a single span skew masonry arch using the discrete element method has been taken into account in recent years [18]. In addition to the numerical simulations, extensive researches were concentrated on the experimental works [19, 20]. For example, many field tests were performed on the masonry arch bridges to obtain service capacity and ultimate collapse load in the 1990′s [21].
Moreover, various works have been conducted about two-dimensional and three-dimensional numerical simulations in linear, nonlinear, plastic, and fracture mechanics conditions to compute the failure status of masonry arch bridges, for which references [22, 23] could be mentioned for more information. In addition to the mentioned researches that accomplished to evaluate the ultimate capacity of masonry arch bridges under static conditions, more works have been performed on dynamic analyses [24,25,26] and seismic assessment analyses of these types of structures [27,28,29].
Based on material construction, masonry arch bridges may be divided into three classes: brickwork arch bridges, stone arch bridges, and plain concrete arch bridges. While various numerical and experimental studies have frequently been reported on brickwork and stone arch bridges, a few field test studies have been conducted on plain concrete arch bridges [5, 19]. This study, therefore, aims to predict the load-carrying capacity of a plain concrete arch bridge under field loading and UIC 776–1 axial loading conditions by a comprehensive three-dimensional nonlinear finite element model.
2 Field Test on Considered Railway Arch Bridge
In this section the summary of field test of a masonry arch bridge is presented. For more information about the field test please refer to reference [5].
2.1 Discription of the Bridge
The considered bridge which has been built more than 80 years ago is placed in kilometer 23 of Tehran-Qom old railway and consists of two identical 20-m spans. For further simplification the considered bridge is named 2PL20 bridge. Reinforcement has not been used and all structural parts 2PL20 bridge including the arch, spandrel wall, abutment, wing wall, pier and foundation are plain concrete constructions. Thin layer of concrete has been used as a material to level out the surface above the arches. The structure suffers 10–30 mm initial cracks in the crown and in the middle springing of both arches which the width of the cracks at the intrados varies in depth and developed throughout the whole section of the arch. Other environmental damage has not been found in the 2PL20 bridge. Geometric properties of the 2PL20 bridge are shown in Fig. 1 and summarized in Table 1. To evaluate the quality of the concrete, mechanical properties of materials have been determined by cylindrical core test and represented in Table 2.
2.2 Results of Static Loading
To gain the ultimate capacity of 2PL20 bridge, load test carried out just on the northern span, statically using 40 kN weights. Figure 2 describes the static loading performed on the 2PL20 bridge. As it is shown, the load increases gradually by applying an incremental load of 240 kN. In this experimental study the variation of the vertical displacement and crack opening of the crown have been recorded and displayed in Fig. 3.
Field test observations demonstrated that new micro-cracks were appeared before starting nonlinear zone around the initial cracks in the springings and the crown. Although the initial cracks became wider. At a load level of around 3500 kN, the micro-cracks became detectable and through the increase of load, they turned into wider and deeper cracks. However, the slope of the vertical and horizontal load–displacement curves has remained almost constant up to 6240 kN which is illustrated in Fig. 3.
Large deformations begin in 6240 kN load, and the structural stiffness decrease remarkably. Loading had been continued up to 7280 kN, but due to safety consideration and field limitation, applying more loads was impossible and the test had stopped and did not continued until failure of the structure. In addition, due to intensive damage of heavy loading process, the bridge went out the service. However, the load applied in the field test is more than the service load of the current railway network, the load-carrying capacity of the 2PL20 bridge remains as a query, which determining it may be a vital step to recognize the nonlinear behavior of the plain concrete arch bridges. In the last stage of static loading (7280 kN), the cracking pattern does not change, so the cracks which appeared almost in the northern span and near the springings are named second cracks. After appearing the second cracks, it seems that the crack propagation patterns remain constant and does not reform in the post-yield state of the 2PL20 bridge. However, the depth and width of the both initial and second cracks increase with the loading process. The initial and second cracks are depicted in Fig. 4 in final stage of field test.
3 Three-Dimensional Finite Element Analysis
The actual behaviour of masonry arch bridges depends on the boundary conditions, material properties, changing features in sections, sliding between filling-materials and the arch, fatigue effects, the location and size of the cracks, environmental damage, discontinuities, and connectivity. Practically, considering all these parameters in simulations seems to be impossible and lead to high computational effort for these massive structures. Therefore, some of these parameters should be implemented indirectly in the numerical method (see Refs. [28, 30, 31]).
In this study, a comprehensive finite element model is established using the ANSYS FEM package. This program can be used for linear, nonlinear, static, and dynamic analysis of structures. Thus, different parts of the 2PL20 bridge, including the arches, the abutments, the spandrel walls, the wing walls, the piers, the foundation, and the filler materials, are modelled precisely by means of a macro-modelling, as depicted in Fig. 5. The soil was simulated in limited dimensions due to the complex and unknown boundary conditions of the bridge, on the one hand, and to incorporate side effects such as soil settlement, on the order hand [6]. Thus, the modelled soil allowed for properly defining the boundary conditions of the bridge. It should be noted that it was not required to model the soil in infinite dimensions, since the structure applied static loading to the soil [28]. According to the dominant behaviour of plain concrete arch bridges, macro-modelling and 3D eight-node solid isoperimetric elements (24 translation degrees of freedom for each element) are used to establish the primary finite element model (Fig. 6). Moreover, old unreinforced arch bridges typically undergo cracking after construction due to their weights and service loads in the crown or springings, being referred to as cracked structures. Therefore, the existing initial cracks are considered as void spaces in the finite element model to take account of the actual conditions of the bridge based on observation measurement. In addition, it can be noted that the initial cracks are modelled with the aim of assigning defects and pre-stress effects to the numerical model before starting the analysis. For this purpose, all cracks are considered as void spaces to consider decreasing in the strength of the 2PL20 bridge. Accordingly, the features mentioned by fracture mechanics theory as the stress intensity factor are not used for initial cracks. According to the supposed assumptions, Fig. 6 represents the details of the final finite element model.
After implementing the geometric features of the finite element method in the primary numerical model, material properties are defined in the finite element model based on the cylindrical core test results. In this simulation, material behavior is considered to act nonlinearly and fracture mechanic theory is taken into account to calculate the structural damage. In computational fracture mechanics, two approaches are generally adopted to analyze cracked solids and structures, including (i) geometrical modeling [32, 33] and (ii) non-geometrical modeling [34]. The former models the crack geometry, while the latter non-geometrically incorporates the effects of defects. The geometrical approach involves two sub-approach; the first ones is related to traditional finite element method in which the crack growth path is dependent on the geometry of elements. The second sub-approach, on the other hand, includes adaptive finite element method and utilizes the idea of re-meshing to implement the crack propagation. Thus, the crack growth path is independent of the element geometry. The non-geometrical approach is further divided into two sub-approaches. The first sub-approach includes behavior equation-based methods. This sub-approach does not model cracks but treats the area around the cracks as a weak region that can be incorporated in the form of reduced strength or reduced stiffness. Furthermore, it may use the elimination of elements; instead of weakening the intended area, element elimination is applied to exclude the cracked region. The smeared cracking method is among the most used techniques of the first non-geometrical sub-approach type, which has been of great interest to researchers. The second non-geometrical sub-approach, on the other hand, includes kinematic methods that utilize enrichment methods. It changes formulation, unlike the first non-geometrical sub-approach. Thus, the second non-geometrical sub-approach enjoys the advantages of geometrical modeling. The extended finite element method is a technique of the second non-geometrical sub-approach [35].
Based on Fig. 7, William and Warnke and Drucker-Prager failures are implemented for the tri-axial behavior based on a constitutive model for concrete and soil material, respectively. The criterion for the failure of concrete due to a multi-axial stress state can be expressed in the following form:
where F indicates a function of the principal stress state (σxp, σyp, σzp) in which σxp, σyp and σzp describe principal stresses in principal directions. S stands for failure surface expressed in terms of principal stresses and seven input parameters are needed to define as [36]:
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Ultimate uniaxial tensile strength (\({f}_{t}\))
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Ultimate uniaxial compressive strength (\({f}_{c}^{{^{\prime}}}\))
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Ultimate biaxial compressive strength (\({f}_{cb}\))
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Ambient hydrostatic stress state (\({\sigma }_{h}\))
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Ultimate compressive strength for a state of biaxial compression superimposed on the hydrostatic stress state (\({f}_{1}\))
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Ultimate compressive strength for a state of uniaxial compression superimposed on the hydrostatic stress state (\({f}_{2}\))
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Shear transfer coefficients (\({\beta }_{t}\) and \({\beta }_{c}\))
However, the failure surface can be specified with a minimum of two constants, \({f}_{t}\) and \({f}_{c}^{{^{\prime}}}\). The following three constants are equal to the defaults of Willam and Warnke
However, these default values are valid only for stress states under the following condition
Since the compressive strength of concrete was derived from the cylindrical core test, other failure parameters of these models may be extracted directly as mentioned above. Additionally, the maximum tensile strength of concrete (\({f}_{t}\)) is assumed as \(\left({f}_{t}=0\text{.}56\sqrt{{f}_{c}^{\mathrm{^{\prime}}}}\right)\) in which it is proposed by ACI 318–11 [37]. In addition, \({\beta }_{t}\) is defined that denotes a shear strength reduction factor for those subsequent loads that induce sliding across the crack face. If the crack is closed, then all the compressive stress normal to the crack plane are transferred across the crack, thereby defining \({\beta }_{c}\). Besides, \({\beta }_{t}=0\text{.}25\) and \({\beta }_{c}=0\text{.}8\) are considered in this study [14].
It is worthwhile to mention that the constitutive model was supposed based on a smeared crack model in fracture mechanics theory to allow the formation of cracks perpendicular to the direction of principal stresses that exceed the tensile strength of the concrete. This model is also considered both cracking in tension zone and crushing in compressive zone. Cracking or crushing of an element is started when one of the principal stresses of an element at integration points exceed the tensile or compressive strength of the domain. Cracked or crushed zones, as opposed to discrete cracks, are then formed perpendicular to the relevant principal stress direction with stresses being redistributed locally; hence, the element is nonlinear and needs an iterative solver. In the numerical procedures, the formation of crack is gained by the adaptation of the stress–strain relationship of the element to present a plane of weakness in the requisite principal stress direction. The amount of shear transfer across a crack can vary between full shear transfer and no shear transfer at a cracked section. The crushing algorithm is similar to a plasticity law in that when a section has crushed, further application of load in that direction progresses the increasing strain at constant stress (see Fig. 7). Following the formation of an initial crack, stresses tangential to the crack face may cause a second or third crack to develop at integration point [14]. In addition, the behavior of the concrete material is simulated by the use of a solid element that can have its stiffness adapted by the expansion of cracks and crushing. This criterion is frequently used to calculate the failures that occurred in concrete structures [38].
To employ the Drucker–Prager yield criterion, the following three parameters are demanded as input data:
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cohesion (\(c\))
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angle of internal friction (φ)
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angle of dilation (ψ)
These three parameters are extracted directly from the \({f}_{t}\) and \({f}_{c}^{{^{\prime}}}\). In the second step of the simulation procedure, uncertain parameters such as boundary conditions, mechanical properties of the filler material, and the soil underneath the foundation are chosen as variable parameters for calibrating the finite element model. By calibrating the variable parameters, the finite element model can designate the actual behavior of the bridge. In addition to the calibration procedure, sensitive analysis is taken into account to subsequently determine variable parameters. To get better sense of the precise finite element model with low computational cost, the calibration procedure and sensitive analysis are done simultaneously. For this reason, by selecting the size of elements between 0.1 and 1.2 m, totally 18,819 eight-node solid elements with 63,096 degrees of freedom are used for the 2PL20 bridge model (see Figs. 5 and 6). Finally, final properties of the materials are displayed in Table 3.
4 Numerical Results
To validate the finite element model of the 2PL20 bridge, the vertical displacement and the crack opening of the crown in the northern span are compared with the field test results. Figure 8 presents to get a better sense of the accuracy of the finite element model. As it is clear, the finite element results have a good compatibility with the experimental results in both small and large deformation stages. It is worthwhile to mention that the calibration parameters are altered in model updating process until the experimental and the numerical results converge together.
In the nonlinear static analysis, element matrices are computed by the Gaussian numerical integration. In addition, the nonlinear static analysis is solved by the Newton–Raphson algorithm with a load increment of dF = 40 kN. Finally, by defining the displacement as convergence criterion, the failure load of the 2PL20 bridge is determined equal to 8880 kN in a total of 222 steps of analysis. Displacement field and progress of damaged zone of the 2PL20 bridge in the failure stage (8880 kN load) are depicted in Figs. 9 and 10. As shown in Fig. 10, the maximum displacement of the 2PL20 bridge occurs in the crown due to the existing initial cracks. By comparing Figs. 4 and 10, it may also be concluded that the damaged zones or cracking pattern of the 2PL20 bridge, determined by finite element analysis, have adequate compatibility with the field results. Although Fig. 4 is not presented for damaged zone of the 2PL20 bridge in the ultimate capacity, it may be concluded that the cracking pattern does not change after starting post-yield behavior and the revealed cracks only become much wider and deeper.
Based on the cracking pattern depicted in Fig. 10, it may be derived that the location of damaged zones is related to the plastic hinges (or nonlinear zones). The figure also shows that three plastics hinges have formed in the northern span of the 2PL20 bridge, which include the crown and each of the springings. To better understand the formation of the three plastic hinges, two fundamental concepts are presented based on Fig. 11. The variation of failure principle stress criterion of crack-tip (crown) in the northern span of the 2PL20 bridge versus loading is shown in Fig. 11a. It is observed that the failure principle stress criterion had jumping in three stages; therefore, it may be concluded that severe changes in these three stages are exactly the plastic zones (hinges) in the 2PL20 bridge (see Fig. 11b). Despite this conceptual way, three plastic hinges may be represented by the variation of curvature of load-deformation slope (see Fig. 11c). As depicted in Fig. 11d, this way proves the formation of three plastic hinges. By comparing Fig. 11b, d, it can be concluded that the moments of the first and third plastic hinges are similar but the second one is different.
Most of researchers believe that four plastic hinge formation may cause failure in the masonry arch bridges, and failure was also reported by 3 and 5 plastic hinges in some cases [21]. However, they assert that plastic hinge formation is dependent on geometric properties of the bridge part and the distance of loading to the crown. The failure mechanism of the 2PL20 bridge, which does not occur based on four plastic hinge formation (common failure mechanism in arches), is due to the similar mechanical properties of the spandrel walls and the arch (see Table 2), and complicated geometry of the bridge. Hence, it may be concluded that the behavior of the 2PL20 bridge, which is not identical to the common masonry arch bridges and the failure mechanism of this bridge, is different from other masonry bridges (in masonry arch bridges, the mechanical properties of spandrel walls and fill materials are usually more less than arches) [5, 21]. As a result, it may be declared that the pattern obtained for the plastic hinge formation and the displacement-load curve may be accurate and acceptable. Likewise, the estimated load-carrying capacity of the 2PL20 bridge is about 8880 kN and is completely reliable.
5 Saftey Assessment
Determination of load-carrying capacity of masonry arch bridges has been considered in many studies. For example, the geometric and mechanical properties of 50 masonry arch bridges of Italian railway network were collected to assess the safety of the bridges [39]. The results indicated that the safety factor of considered bridges was from 2 up to 30 based on UIC 776-1 loading. In addition to geometric and mechanical properties, the real safety factor may be affected by abundant factors, such as environmental deterioration and fatigue. For the latter, experimental observations demonstrated that repeated cyclic loading over 50% of the final static strength might induce fatigue failure [40]. For more information about safety assessment of masonry bridges, the reader is referred to [41]. The results of finite element simulation under static field test and UIC 776-1 train live loading for calculation of safety factor are presented in this section.
5.1 Results of Static Field Loading
As shown in Sect. 4, the load-carrying capacity of the 2PL20 bridge is determind according to the Fig. 8. Therefore, if \(\lambda\) is defined by the ratio of collapse load (CL) and plastic hinges (PH) as
where \(i=1\text{,} 2\text{,} 3; \lambda\) is computed as \({\lambda}_{1}=\left(8880/2600\right)=3\text{.}415\), \({\lambda}_{2}=\left(8880/5160\right)=1\text{.}721\), and \({\lambda}_{3}=\left(8880/8840\right)=1\text{.}005\). Then, the load factor for a possible collapse mechanism is denoted as
where \(j\text{,} k=1\text{,} 2\text{,} 3\) for \(j\text{<}k\). Consequently, \(\mathrm{LF}\) is determined as \({\mathrm{LF}}_{12}=\left(3\text{.}415/1\text{.}721\right)=1\text{.}984\), \({\mathrm{LF}}_{13}=\left(3\text{.}415/1\text{.}005\right)=3\text{.}980\), and \({\mathrm{LF}}_{23}=\left(1\text{.}721/1\text{.}005\right)=1\text{.}712\). Another important parameter in the assessment of nonlinear behavior of the masonry arch bridges is ductility factor (DF). Based on the Fig. 9, it may be rather assumed that the 2PL20 bridge behavior is linear up to the displacement of 12.87 mm (LS), and the nonlinear behavior starts from this point, continues up to the large deformations, and collapse occurs in 32.66 mm displacement (US). Based on the considered assumptions, the ductility factor may be derived as
Thus, the ductility factor of the 2PL20 bridge is computed as \(\mathrm{DF}=\left(32\text{.}662/13\text{.}206\right)=2\text{.}473\). Regardless of the fact that the reinforcement was not used in the 2PL20 bridge, the structure benefits from an appropriate ductility, and it could be emphasized that the 2PL20 bridge has an appropriate nonlinear behavior.
5.2 Safety Factor
In addition to the static loading of field test, the UIC 776-1 code was used for the assessment of the 2PL20 bridge under 25-ton axial service live train load [42]. As depicted in Fig. 12, the service load in the UIC 776-1 code for the railway bridges was 4 concentrated loads of 250 \(\mathrm{kN}\) with a distance of 1.6 m and two distributed loads of 80 \(\mathrm{kN}/\mathrm{m}\) with a distance of 0.8 m from the concentrated loads. Subsequently, to obtain the factor of safety, the ratio of the applied load to the service load of the UIC 776-1 is augmented until failure happens in the bridge. Results indicate that the residual capacity of the bridge under train live loads is much higher than the service load. For this reason, the results discussed herein are based on the most critical states reported in [39]. Since it constrains the upward deflection of the arches adjacent to the loaded span and prevents the development of the collapse mechanism, which leads in turn to a higher load carrying capacity, the distributed load is not included in the critical load pattern (different for deck bridges). Therefore, the design exercise load (DEL) value is 1000 kN \(\left(4\times 25 \mathrm{ton}\right)\) per track line running on the bridge [39]. Hence, the factor of safety (FS) may be computed by the ratio of CL and DEL as
According to the UK highway agency, the safe capacity of masonry arch bridges is 50% of ultimate load-carrying capacity [43]. Accordingly, the FS of the 2PL20 bridge is figured as \({\mathrm{FS}} = 0.5\times \left(6400/1000\right)=3.200\). The limit state as an analytical approach is used to validate the obtained safety factor. This method is implemented in the Ring software and recommend by the UK highway agency to calculate the ultimate load capacity of masonry arch bridges. Based on Fig. 13, the collapse load and mechanism state of the 2L20 bridge are determined in critical position of the UIC 776–1 load distribution. The calculated factor of safety based on the limit state method is computed equal to \(FS=3\text{.}490\).
The factor of safety calculated by finite element method is 8.3% less than limit state method. The main reason for this difference is the modeling of initial cracks and comprehensiveness of the three-dimensional nonlinear finite element model. Based on the geometric properties such as span length (\(l=20 \mathrm{m}\)), ring thickness (\(s=1\text{.}1 \mathrm{m}\)), rise (\(r=8 \mathrm{m}\)), maximum pier height (\(h=4\text{.}43 \mathrm{m}\)), number of spans (\(n=2\)), rise-to-span ratio (\(r/l=0\text{.}4\)), and ring thickness-to-span ratio (\(s/l=0\text{.}055\)), the safety factor of 50 railway masonry arch bridges is also determined as \(3\le \mathrm{FS}\le 5\) [39]. Also in Ref [44] by statistical analysis and using linear elastic fracture mechanics (LEFM) theory, factors of safety was estimated about 1.8–5.4 for masonry arch bridges. Thus, the results obtained by the finite element mode are completely reliable. It is worthwhile to mention that the safety estimate provided in the present work does consider the actual damage state of the 2PL20 bridge. Finally, it may be concluded that the factor of safety for the 2PL20 bridge is 220% more than the service load for a 25-ton axial load. As a result, it can be decided that the rise of axial load up to 40% is admissible (from 25-ton up to 35-ton axial load).
6 Conclusions
There are about 3400 masonry arch bridges in Iran’s railway network which most of them have been constructed more than 80 years ago. Due to the need of increasing axial loads in the current railway network, assessment of old masonry arch bridges as crucial infrastructures to obtain load-carrying capacity of them has become an important issue in the last decades. Due to the complex behavior of such bridges, accurate simulation is required to assess and study their behavior. In this study, the results from the nonlinear three-dimensional finite element modeling to evaluate the load-carrying capacity for a plain concrete arch bridge with two 20 m spans have been presented. The residual capacity of the bridge was not never determined in field test loading; therefore, the residual strength and the nonlinear response of the 2PL20 bridge are derived using the limited results obtained from filed tests and the numerical modeling. The residual strength of the bridge has been calculated equal to 8880 kN and the failure of the structure has occurred with the formation of three plastic hinges (zones) in the crown and each of the springings. The results indicate that the condition of the 2L20 bridge under 25-ton axial load with \(\mathrm{FS}=3\text{.}200\) as an old railway masonry arch bridge is acceptable and it may be concluded that by considering the design safety factor equal to two, increase of axial load up to 40% (axial load of 35-ton) is allowable for railway network of Iran. In addition, the results indicate the nonlinear behavior of this structures are appropriate in post-yield stage.
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The authors would like to acknowledge and express their special gratitude to anonymous reviewers, for their constructive comments that improved the quality of the manuscript.
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Yazdani, M. Three-dimensional Nonlinear Finite Element Analysis for Load-Carrying Capacity Prediction of a Railway Arch Bridge. Int J Civ Eng 19, 823–836 (2021). https://doi.org/10.1007/s40999-021-00608-w
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DOI: https://doi.org/10.1007/s40999-021-00608-w