The increasing traffic demand is continuously growing worldwide. Therefore, the life of a large stock of bridges that still exist throughout the world must be extended, ensuring at the same time that safety is not compromised for economic reason. This paper introduces the possibility to control the fatigue life of existing bridges by using a vibration control system. Based on a dynamic optimization analysis, the stresses from traffic on the bridge are obtained. Subsequently, a plate finite element (FE) model of the whole bridge is developed. The equation of motion is presented for a case study bridge, equipped with different tuned mass damper system, and the combination of external loads and train/track interaction with or without the TMD system is developed through own-developed routines and FEM software. The procedure is showcased for a case study bridge. After gaining the stress states at the critical hotspot, the fatigue crack life is evaluated by using the linear cumulative damage theory. The different TMD solution presented is demonstrated to be able to diminish the stress level in critical hotspots, improving the overall fatigue life of the bridge over an established lifetime.

1. Introduction

Fatigue failure of steel bridges is a well-known event that is frequently reported across the world [13]. As a fact, bridges are a strategic part of an ancient transport network and, in some cases, they are at the limits of the traffic capacity. In the particular case of steel bridges, truss bridges were widely used during road construction from the second half of the 19th century up to the middle of the 20th century. Most of these wrought iron or older steel bridges, which are still in use around Europe, were not designed explicitly for continuously increasing vehicle numbers and weight. ASCE [1] reported that 80–90% of failures in steel structures are related to fatigue and fracture. However, other factors affecting the structural aging of bridges are reported in [415]. Vibrations, transverse horizontal forces, internal constraints, and localized and diffused defects as corrosion damages are concurring causes of damages [16]. The main problems recognized by the managing agencies are related to difficulties in maintenance, high noise emissions and vibrations, fatigue, and understrength capacities mainly found in transverse, main girders, and their riveted or bolted connections, while the main load-bearing elements (trusses) still have some residual capacity [17]. Another major problem is the inability to carry the actual Eurocode live loads [18]. It should be noticed that rarely a load reduction is approved for road of national importance (highway and national road, railways); and for this reason, existing bridges must carry the traffic category requested for new bridges [18]. Actually, a total replacement of these bridges is not possible due to financial constraints. Moreover, most of these bridges have not yet fulfilled their design life, and in some cases, their main structures are in a good condition, except specific understrength members. However, it should be mentioned that no design life was ever defined for the large majority of existing bridges, which means that implicitly they are supposed to last as long as the utilization (e.g., for road traffic) is given. For this reason, it is crucial to implement solutions to strengthen bridges, or to control peak stresses in order to avoid fatigue failures. While retrofit solutions have been broadly investigated in the literature [17, 19, 20], a few of the literature studies investigate fatigue control in bridges by using TMD systems. These can extend the life of existing steel bridges, similar to the common use for the control of vibration. The TMD has proved to be very effective for providing the harmonic force acting at a fixed location on the beam structure [2136], and it might be effective as well for a moving load [37]. Using the same approach of TMD, MTMDs (multiple TMD) systems have been proved to be effective for reducing the dynamic response of continuous truss bridges to moving train loads [38, 39]. It has been found that MTMDs are generally more effective and reliable than a single TMD for suppressing the resonant vibrations of bridges when the train axle arrangement is regular. MTMDs fundamentals could be found in [29]; and applications could be deepened in [40] for wind issues or [41] for train-induced vibration controls. Recent applications of MTMDs investigated also combined external loads, as seismic and passing trains simultaneously (as in [42]).

2. Equation of Motion

The vibration absorber is a mechanical device used to decrease or eliminate unwanted vibration [43]. The denomination TMD-tuned mass damper is often used in modern installation; this modern name has the advantage of showing its relationship to other types of dampers. In its simplest form, a vibration absorber consists of one spring and a mass. Such an absorber system is attached to a SDF system. Tuned mass damper (TMD) is among the oldest types of vibration absorbers, invented by Frahm in 1909, according to the study in [24].

An Euler–Bernoulli beam with j spans (Figure 1) is introduced to explain the formulation of the equation of motion. The beam is subjected to a distributed load p(x, t), on span i with length Li. To avoid complexity in this phase, it is considered that the mass per unit length m, Young’s modulus E, and moment of inertia I are constant within each span, varying at intermediate supports. An MTMD bridge system could be studied according to recent research [4447] reported. To obtain equilibrium (reference to Figure 1), neglecting higher order terms, it should be

And substituting Equation (4) in Equation (3),

According to [43, 47], the transverse displacement within a segment is obtained by solving Equation (5); to separate the general differential equation into a linear combination of normal modes ϕn(x), the expansion theorem is then used. Consider

Given the coordinates of the n node, substituting into Equation (5), adopting the Dirac delta-function to describe the concentrated moving load,where t is the time of the P concentrated moving load onto the i-span, at the speed; it is suggested to apply undamped and free vibration conditions to Equation (5) to obtain an ODE (ordinary differential equation):

Then combining Equations (8) and (7), we get

Furthermore, introducing ϕr(x) and integrating it gives

And this reduces to

By the use of cn (modal damping of the system), which is related to the modal damping ratio χn,where ωn = 2πfn is the angular natural frequency of vibration (of the n mode), and substituting Equation (12) into Equation (11), the following is obtained:

Given the Dirac delta function, the following is used:and considering that the normal modes are mass-normalized, Equation (13) can finally be simplified todenoting with the concentrate load P-position at t-time.

3. Train-Structure Interaction

The simplest interaction was studied by Saller [48]; in this formulation, the train-bridge moving load model is adopted, where the equation of motion is given by

However, FEM solution includes all the possibility to encompass in the train model interaction also the suspension of each axle, wheels unsprung mass, bogie axle, coach, and their mutual interaction (Figure 2).

However, some authors reported that a complex model of the bridge/train interaction is often negligible and that a moving load sufficiently describes the structural behavior of the bridge under a passing train. Examining different interaction analyses (multistatic or dynamic) and different train models with varying interaction systems, Liu et al. [49] found that the results are very similar if the natural frequency of the train () is much smaller than the natural frequency of the bridge (), the mass of the train is smaller than the mass of the bridge, and the train is not moving at the critical speed. This should also be considered for the purpose of this study, which Eurocode [50] also suggests neglecting train/structure interaction (par.

4. Soil-Structure Interaction

A similar conclusion could be achieved for the soil-structure interaction issue, which was analyzed extensively in [5155]. All these studies confirmed that under approximately 150 km/h, soil-structure interaction could be disregarded. However, for high-speed train ( > 200 km/h), this issue becomes relevant and should be deepened. In order to cover this issue, FEM models should be easily designed with frequent dependent spring at the interface of structure foundation/soil. In the specific case, the railway line has an imposed speed limit of 150 km/h; consequently, soil-structure interaction issues have not been considered.

5. Damping Ratios

Although a refined solution includes the definition of bending of materials, opening and closing of cracks, friction at supports and bearings, ballast, train-structure interaction, and soil-structure interaction [56, 57], empirical and comprehensive ratios are used in structural engineering, derived from direct measurement on real bridges. An alternative computational method to model the energy dissipation deals with the introduction of distributed viscous dampers, which should be calibrated [43]. According to Eurocode [50], the values of damping reported in Table 1 should be used in the dynamic analysis.

Moreover, Eurocode [50] suggests performing a dynamic analysis only at specific conditions.

6. Case study

This investigated case study is a 161 m through three spans (50.16 m–60.648 m–50.160 m ≈ 161 m) truss metal riveted railway bridge, 5.06 m wide (from the centre of mass of the lower chords) and 7.2 m high (from lower chord to the upper one) [58]. These spans are simply supported on the shoulders and on piles in the riverbed. The historical bridge was built in 1866, and after 40 years, the second parallel track was realized: these bridges were both destroyed during the II World War. The configuration of the bridge structure is presented in Figure 3: the even track was built in 1946 and the other one in 1949. The bridge studied is the oldest in service (from 1946). The actual configuration is presented in Figures 35. The superstructure consists of 32 different cross sections. Lower and upper chords are composed by U-shaped sections. The deck is composed by longitudinal stringers, and transverse floor beams, which have a fixed distance of 5.054 m, while stringers are at 1.520 m one to each other. All structural elements are built-up riveted members, realized with plates and L-profiles with variable width from 12 to 20 mm. Also, connection joints are made of gusset riveted plates. Rails are of the 60-UNI type. Boundary conditions are reported in Figure 3(c), double fixed and movable bearings stand alternately on each side span as shown. According to modern standards [59], the basic material can be compared to an S275 steel [18]. The FEM model of the bridge is reported in Figure 6. The bridge structure was modelled using the FEM software MIDAS Civil, using beam and plate elements. Overall, the entire bridge model consists of about 3000 beam and 200 plate elements. Young’s modulus of 221 GPa (kN/mm2), Poisson’s ratio of 0.3, and a material density value of 7800 kg/m3 were used for the analyses. All beam member sections were modelled as the as-built structure. One alternative model has been realized to take into account material degradation (e.g., reducing transversal section). The FEM model has been calibrated by in situ measurement [58].

The bridge modelled is subjected to the Instruction 44/F moving loads that represents the train (Table 2).

7. TMD Governing Equations and Optimization Routine

The FEM model results are compared to the numerical solution, where the bridge is modelled as a simply supported elastic beam with a constant cross section. The structure is subject to a series of moving loads with constant speed representing the train. Three different TMD devices are introduced: single TMD, multiple TMD (MTMD), and series of multiple tuned mass dampers (STMD), placed on the beam at x = xs as shown in Figure 7. Equations of the vertical motion for the bridge are derived and can be written as

Upon solution of each equation for each type of mass damper (TMD, MTMP, and STMD) by direct methods [60], the equations of motion for the entire bridge-TMD system under a moving train can simply be expressed in the matrix form as follows:where the mass (M), damping (C), and stiffness (K) matrices; the load vector F, and the unknowns vector are given in [60]. Equation (20) can be solved numerically by Newmark’s method to obtain unknown parameters.

The maximum stress oscillation found on the bridge according to the load case described in Table 2 has been presented in [58]: this has been found to be the stringer-to-floor beam connection, in detail at the lower flange of the floor beam where the stringer is jointed to the floor beam. Maximum stresses obtained by a multistatic and linear dynamic analysis are reported in Table 3 [58], considering also an FEM model with a corroded member: this model considered a cross-section reduction of 1 mm extended to the whole lower chords according to the similar case study described in [61].

Consequently, the optimization is obtained minimizing the maximum stress oscillation found on the bridge under the moving loads (Table 2) by adjusting the mass ratio μ = m2/m1, the damping ratio ξj, and the frequency ratio of STMD. The optimization problem is solved using a MATLAB nonlinear programming solver (fmincon) which finds the minimum of a constrained nonlinear multivariable function with the sequential quadratic programming (SQP) method. First, the start points and bounds are assigned for optimization of design parameters. Then, using the modal superposition method, the governing differential equations of the motion for the bridge-train TMD-coupled system are solved numerically. When the objective function is gained, the fmincon code is applied to update all parameters and checked if the objective function is minimum or not. When the objective function is minimized, the optimal parameters are obtained. According to this procedure, TMDs are introduced in the model, in order to simulate a real case study: TMD-1 (μ = 2%, concentrated at midspan), TMD-3 (µ1,2,3 = 0.9%, concentrated at the fourth of the span), TMD-7 (µ1,2…,7 = 0.4%, equally spaced onto the span length), and STMD (μ1 = 0.8%, μ2 = 0.9%, concentrated at midspan).

8. Results and Discussion

The procedure consists in finding the solution of the following:where p = (μ, ξj, ßj), J(p), lb and ub represent the optimization variables, the objective function, the lower bound, the and upper bound of the optimization variables, respectively. J(p) is defined as maximum amplitude in frequency response of midspan. Assuming the damping ratio of the beam ξj and the total TMD mass to the beam mass ratio µTot = Σμj are known, we can select the following to be control parameters such as 0.0 < μ < 1.0, 0.8 < βj < 1.2, and 0.0 < ξj < 0.5, according to the studies in [60, 6264]. To optimize multiple TMDs in parallel, uniform stiffness and damping are assumed for all TMD units in the system according to the studies in [60, 65] since manufacturing of this type of absorbers is much simpler than those with varying stiffness and damping. To optimize MTMDs, the mass of each TMD unit varies according to the study in [66]. In all cases, the mass ratio μT is selected to be 2% according to the study in [60]. The consequent optimal parameters for TMD devices are obtained. In the analyses, different types of vibration absorbers such as a single TMD (TMD-1), three TMDs in parallel (TMD-3), seven TMDs in parallel (TMD-7), and two TMDs in series (STMD) are obtained. Results are reported in the following figures. In Figure 8, the maximum stress oscillation without TMD is illustrated (2 locomotives and first 8 coaches); analytical results are compared with that of the finite element (FE) solution obtained with the MIDAS Civil software. In FE modelling, the TMDs are modelled as damper unit, with elastic bilinear dapshot: results obtained for these two methods agree very well with each other. In Figure 9, the comparison of the numerical dynamic analysis results for the hotspot detail with (TMD-1, TMD-3) or without TMD solutions (wTMD-FEM) is presented, while in Figure 10, the comparison of the numerical dynamic analysis results for the hotspot detail with (TMD-7, STMD) or without TMD solutions (wTMD-FEM) is reported. It can be observed that all TMD devices are much effective at peak-point stress oscillations, significantly reducing the structural response. In particular, TMD-3 and TMD-7 devices show a better attenuation performance than the other devices. For multiple parallel TMDs, the structural response reduces with increasing the number of absorbers, as expected [41, 60, 67]. In Figure 11, a comparison of the bridge midspan displacements in frequency domain for different TMD attachments is presented, where ω and ω1 represent the excitation frequency and the bridge fundamental frequency, respectively.

The damage caused by the passage of a single train was calculated according to Instruction 44/F (1992) first by using the rain-flow counting method to convert the irregular stress history into stress range blocks and then by applying the rule mentioned in [68, 69]. The cumulative damage approach implies the use of the following formula:where is the number of cycles associated with the stress range for band “i” in the factored spectrum, (MPa); is the endurance (in cycles) obtained from the factored vs. NR curve for a stress range of (MPa), where is the reference value of the fatigue strength at NC = 2 mil cycles (MPa) and is the partial factor for fatigue strength . A precise estimation of the remaining life of the bridge, focusing on trends type of future traffic demands, with a variable increment of traffic (from 2% to 20% per year) for each train type is given; no increase in loads has been taken into account. The fatigue category of the critical detail investigated is C = 90, according to the Eurocode [70, 71]. According to this analysis, it should be noticed that not remarkable variation in the remaining fatigue life could be achieved by the use of TMD in existing steel railway trusses: in detail, for a yearly traffic increment of 2%, a maximum extension of the fatigue life is approximately 5 years adopting the TMD-7 solution (Figures 12 and 13). As could be inferred from Figure 13, the specific case study solved in the present paper has shown that the increase in the remaining life is at best the 15% of the actual remaining life. A final flowchart to optimize the parameters of single TMD and multiple TMD (MTMD) to extend the fatigue life of steel truss bridges is provided in Figure 14 [7274].

9. Conclusions

In this study, the efficiency of TMD on existing steel bridges in order to extend their fatigue life is studied, elaborating an analytical formulation compared with FEM analysis. Different TMD devices (single TMD, and parallel multiple TMDs) in suppressing the maximum stress oscillation of railway bridges under railway traffic are studied. According to the results obtained, the following conclusions can be drawn: TMD-7 with seven absorbers units has the similar control effectiveness as TMD-3 with three absorbers (of different mass ratio). Therefore, the use of STMD in bridge remaining life is acceptable and similar to the capacity of multiple TMDs and may be more economical than that of multiple parallel TMDs. Considering that STMD device is robust to the main system parameters’ change as much as MTMD devices and is more robust to the absorber’s parameter changes than MTMD devices according to the study in [60], STMD solution is found to be the most appropriate solution to extend the fatigue life of an existing steel truss bridge. Although considering that the specific case study solved in the present paper has shown that the increase in the remaining life is at best the 15% of the actual remaining life, appropriate economic analysis is recommended, in order to compare the extension obtained in years of fatigue life of the bridge and the investment required to install the correct TMD solution, which should be studied for every particular situation.

Data Availability

The main data that support the findings of this study are available from http://www.alessiopipinato.it/publications.htm.

Conflicts of Interest

The author declares that there are no conflicts of interest.