Numerical Modeling and Simulation of Vehicular Crashes into Three-Bar Metal Bridge Rail

Abstract

Advanced finite element (FE) modeling and simulations were performed on vehicular crashes into a three-bar metal bridge rail (TMBR). The FE models of a sedan, a pickup truck, and a TMBR section were adopted in the crash simulations subject to Manual for Assessing Safety Hardware (MASH) Test Level 2 (TL-2) and Test Level 3 (TL-3) requirements. The test vehicle models were first validated using full-scale physical crash tests conducted on a two-bar metal bridge using a sedan and a pickup truck with similar overall physical properties and sizes to their respective vehicles used in the simulations. The validated vehicular models were then used to evaluate the crash performance of the TMBR using MASH evaluation criteria for structural adequacy, occupant risk, and post-impact trajectory. The TMBR met all MASH TL-2 requirements but failed to meet the MASH TL-3 Criteria H and N requirements when impacted by the sedan. The TMBR was also evaluated under in-service conditions (behind a 1.52 m wide sidewalk) and impacted by the sedan under MASH TL-3 conditions. The simulation results showed that the TMBR behind a sidewalk met all safety requirements except for the occupant impact velocity in the longitudinal direction, which exceeded the MASH limit by 3.93%.

1. Introduction

Bridge rails are important roadside safety devices used to protect errant vehicles, and their occupants, from catastrophes. Commonly used bridge rails include concrete bridge rails, metal bridge rails, and hybrid bridge rails (i.e., metal rails anchored onto a concrete parapet). While concrete bridge rails have higher rigidity than metal bridge rails, they have higher initial and repair costs. Bridge rails are considered longitudinal barriers and like all other roadside safety devices, they must be tested to pass the safety requirements issued by the American Association of State Highway and Transportation Officials (AASHTO). Figure 1 shows a three-bar metal bridge rail (TMBR) adopted by the North Carolina Department of Transportation (NCDOT). This bridge rail has two oval-shaped rails and one flat rail, all made of aluminum and constrained to metal posts that are affixed to the concrete footings along the edges of the bridge deck.

The TMBR was originally tested and passed the safety requirements of the National Cooperative Highway Research Program (NCHRP) Report 350 [2], which was later replaced by the new AASHTO standards, Manual for Assessing Safety Hardware (MASH) 2016 [3]. With the issuance of the new standards, the performance of the TMBR should be re-evaluated to provide guidance for usage, design improvements, and physical crash testing.

Bridge rail evaluations began in the early 1960s with physical crash tests as the primary method to study bridge structure performance [4]. Since then, full-scale crash testing has been the predominant approach for design validation and performance assessment. Over the years, a variety of bridge rails have been tested across different states, such as the California Type 9 [5] and Type 115 [6] bridge rails, the Wyoming tube-type bridge rail [7], two types of Texas bridge rails [8], Texas T-1F bridge rail [9] and T202 bridge rail [10], the Tennessee bridge rail [11], and many other bridge rails [12,13,14,15,16,17,18,19,20]. Most of these bridge rails were crash tested using a small passenger car as well as a pickup truck. Over the years, many bridge rails were also tested under more severe crash conditions such as impacts by a single-unit truck [21,22,23,24,25,26,27]. All these crash tests provided valuable data and insights into bridge rail designs and performance under vehicular crashes. However, full-scale physical tests are extremely expensive and time-consuming to conduct. Although they are useful for design validation, they are prohibitively expensive for design exploration when many different designs/options are to be evaluated.

Since the early 1990s, the use of computer modeling and simulation in transportation safety has dramatically increased [28,29,30]. Significant effort was put into model development, particularly on vehicle models [31,32,33,34,35], to improve the fidelity of numerical simulations. In the past few decades, computer modeling and simulations for vehicular crashes have seen significant growth in modeling capabilities and model complexity, attributed to the technological advancement of computing hardware and numerical codes. Full-scale crash simulations have been used on a variety of roadside safety devices and infrastructures such as cable barriers [36,37,38,39,40,41,42], W-beam and Thrie-beam guardrails [43,44,45,46,47,48,49,50,51,52], concrete barriers [53,54,55,56,57], crush cushions [58,59,60,61], bus shelters and cluster mailboxes [62], and various bridge rails [63,64,65,66,67]. Numerical modeling and simulations, specifically finite element analysis (FEA), have provided alternative and viable means for studying the crash mechanisms and performance of highway safety devices.

In the work by Wekezer et al. [63], they used LS-DYNA simulations to study the safety performance of Florida beam-and-post reinforced concrete bridge barriers under the Test Level 3 (TL-3) impact of a Chevy pickup truck according to the NCHRP Report 350 [2]. The study revealed severe snagging of the vehicle and provided input for retrofit recommendations. Ray et al. [64] performed FEA on an extruded aluminum truss-work bridge railing subject to TL-3 and Test Level 4 (TL-4) impacts specified in the NCHRP Report 350. An AASHTO LRFD analysis conducted in the study confirmed the results of LS-DYNA simulations, and the bridge rail design was found to have comparable strength to other F-shaped bridge railings in terms of structural rigidity. Atahan and Cansiz [65] used FEA to study a concrete bridge rail-to-guardrail transition that failed to pass the TL-3 requirements of NCHRP Report 350. After validating the simulations using qualitative and quantitative comparisons, an examination of the physical test and simulation results was performed. It was determined that the W-beam height of 685 mm was the main cause of vehicle rollover. It was suggested to modify the W-beam height to 810 mm and subsequent simulation results predicted that the modified design contained and stably redirected the impacting vehicle without wheel snagging. Atahan [66] subsequently performed FEA on the modified bridge rail-to-guardrail transition and determined that the vehicle trajectory, occupant risk, guardrail displacements, and vehicle redirections matched well with the results from a similar transition previously tested under TL-4 conditions specified in NCHRP Report 350. Atahan [67] later studied a high-containment-level rail (i.e., under impacts of tractor-trailers) for bridges and viaducts using LS-DYNA simulations and a physical crash test. The numerical simulation results were validated using test data, and the rail was determined to meet the EN1317 Standard [68].

Bocchieri and Kirkpatrick [69] used LS-DYNA simulation combined with the design of experiments to identify the critical modeling parameters on several bridge railing designs impacted by a Chevrolet C2500 truck. By evaluating the effect of parameter variation on bridge railing performance, they selected the best bridge rail design choice, and a second experimental design was used to determine the bounds of the predicted performance. Abu-Odeh [70] used LS-DYNA simulation to study the T501 steel-reinforced concrete bridge rail under a 2268 kg bogie’s impact at different speeds. The study evaluated the usability of three LS-DYNA material models and suggested the use of small-scale material tests such as triaxial tests to improve the predictability of these material models. Thanh and Itoh [71] used FEA to study the performance of curved steel railings subjected to collisions of trucks at large impact angles. Their simulation results showed that curved railings absorbed less energy than straight railings under the same impact conditions, but they were still capable of guiding the truck’s subsequent movements as long as the initial impact angles were within the limit by the design specification. They also pointed out that the impact angle at curved bridge sites sometimes might be larger than the 15° allowable impact angle, meaning that the curved railing would not be capable of guiding the truck back to the travel lane.

Fang et al. [72] evaluated an NCDOT two-bar metal bridge rail using both FEA and physical crash tests of two vehicles, i.e., a 2010 Toyota Yaris passenger car and a 2014 Chevy Silverado pickup truck. Their finite element (FE) models were validated using test data. The study confirmed the validity of simulation results and high fidelity of FE models of both the vehicles and the two-bar metal rail.

A characteristic feature of full-scale crash tests is that roadside barriers are typically evaluated under predefined impact conditions specified by relevant standards. However, questions remain regarding how these barriers will perform under different, untested impact conditions. To address this issue, this study aimed to evaluate the safety performance of the TMBR under MASH standard Test Level 2 (TL-2) and TL-3 impact conditions, as well as under real-world in-service conditions. The research results would help identify performance issues and guide necessary design improvements of the TMBR before conducting expensive full-scale crash tests.

The research plan assumed the use of FE models of the two validated vehicle models from Fang et al. [72] (Section 3.2). Having reliable FE models, simulations of the test vehicles impacting the TMBR on flat terrain were performed under MASH TL-2 and TL-3 conditions (Section 4.2 and Section 4.3, respectively). Given that the TMBR was often installed behind sidewalks, the study evaluated its performance in this configuration. Specifically, the TMBR behind a sidewalk was assessed when impacted by a 2010 Toyota Yaris under MASH TL-3 conditions (Section 4.4). The safety evaluation focused on the structural adequacy of the TMBR, the risks posed to vehicle occupants, and the trajectories of vehicles after impacts. These analyses aimed to identify potential issues and safety concerns related to barrier installations behind sidewalks, which have not been previously assessed in full-scale crash tests. The findings could contribute to future improvements in roadside barrier designs and crash test requirements. The modeling and simulation methodology from this research is expected to contribute significantly to roadside barrier designs, and the research findings could provoke necessary adjustments to crash testing requirements or standards.

All numerical simulations for this study were conducted using LS-DYNA R11.2.0. Consequently, the description of the FE models employs nomenclature consistent with this software to describe the types of finite elements and the material models used.

2. FE Modeling of TMBR

The FE model of TMBR was based on 9.14 m (30 ft) long sections according to NCDOT specifications. Figure 2 shows a 27.4 m (90 ft) long TMBR model that consists of three sections connected by two expansion joints.

2.1. Modeling of Metal Rails

Each section of the TMBR comprised three horizontal aluminum rails attached to aluminum posts via clamping bars, as depicted in the post assembly in Figure 3. The cross-sections of the top two rails were oval-shaped, while the bottom rail had a trapezoidal cross-section. The TMBR post featured a thin, T-shaped front plate backed by a solid, trapezoidal support, both welded to a base plate. Six clamping bars were used to secure the three rails to the post, and the bars were affixed to the post with twelve 12.7 mm diameter bolts. The base plate was anchored to the concrete parapet using three 19.05 mm bolts and two 15.875 mm bolts, which were connected to wire struts within the concrete parapet to form the anchor assembly. In this study, aluminum alloy 6061-T6 was selected for all aluminum components in the FE model of the TMBR, while carbon steel was used for the bolts, nuts, washers, and reinforcement bars within the concrete.

Fully integrated membrane elements, i.e., the Belytschko–Tsay membrane in LS-DYNA with elform 2, were used to model the aluminum rails, the T-shaped front posts, and the base plates, while the trapezoidal supports of the posts were meshed using constant stress solid elements with elform 1. The bolts were modeled using Hughes–Liu beams with a single integration point along the length, while the nuts were treated as the same solid elements used for the trapezoidal supports. The bolt-and-nut fastening mechanism was implemented in the FE model through pre-tensioned bolts, designed to provide clamping forces. For each of the bolted connections, a discrete element was used to connect the bolt head and the nut. The clamping force is activated upon the start of the crash simulation by an elongation prescribed to the discrete element. An automatic surface-to-surface contact definition was defined between the nut and the bolt since the nut can slide along the bolt.

At each expansion joint, the aluminum rails from the two sections were connected using extension bars. Figure 4 shows the cross-sectional profiles of three extension bars inserted into one side of the horizontal rails. The extension bars for the top and middle rails were modeled as solid elements, while the bottom extension bar was modeled as shell elements.

2.2. Modeling of Concrete Parapet and Terminals

The aluminum rail assembly was fastened to the concrete parapet through the anchor assembly shown in Figure 3. At the end of the aluminum rails, a concrete terminal is installed to secure the aluminum rails through brackets (see Figure 5). The brackets were bolted to the clamping bars inserted in the horizontal rails with four bolts and nuts for each rail. The brackets were connected to the concrete parapet using bolts and nuts. One pair of bolts and nuts were used for each of the top and middle rails, and two pairs for the bottom rail. All the brackets were modeled using the same membrane elements introduced previously.

The steel reinforcing bars cast in concrete terminals and parapet of the TMBR were explicitly modeled using beam elements, as shown in Figure 6 and Figure 7. The concrete terminals and parapet were modeled as constant-strain solid elements. The meshes of the concrete and steel reinforcing bars were carefully created such that the nodes of beam elements (representing the reinforcing bars) coincided with the nodes on the solid elements (representing the concrete). This node-sharing technique for modeling reinforced concrete was effective and eliminated the need for contact definitions between the steel bars and concrete.

The entire TMBR model consisted of 1530 components that were meshed with 1,111,527 elements (680,653 solid, 416,056 shell, 14,514 beam, and 304 discrete elements) and 1,244,441 nodes. The following is a list of the seven material models for the TMBR model:

• MAT_PIECEWISE_LINEAR_PLASTICITY (MAT_024): for all aluminum components (rails, posts, clamping bars, extension bars, and brackets).

• MAT_CSCM (MAT_159): for the concrete parapet and terminals.

• MAT_PLASTIC_KINEMATIC (MAT_003): for steel bolts and reinforcement bars.

• MAT_LINEAR_ELASTIC_DISCRETE_BEAM (MAT_066): for discrete elements.

• MAT_RIGID (MAT_020): for nuts and washers.

• MAT_NULL (MAT_009): for contact purposes.

• MAT_ELASTIC (MAT_001): for the road surface.

Table 1 gives the basic material properties of the steel, aluminum, and concrete components of the TMBR. The material model of steel components (MAT_003) includes a damage mechanism that removes elements upon reaching a failure strain of 0.4. Aluminum components are modeled by MAT_024 in LS-DYNA, incorporating a damage model with a plastic strain threshold value of 0.06 for element deletion upon reaching this value. The CSCM model (MAT_159) in LS-DYNA was employed to represent the concrete parapet. It incorporated isotropic constitutive equations, yield and hardening surfaces, and damage formulations to simulate material softening and modulus reduction. The CSCM model required thirty-seven input values and seven control parameters. A detailed review and validation of this model can be found in references [73,74].

3. FE Modeling of Test Vehicles

3.1. FE Vehicle Models

In this study, the vehicle models employed were a 2010 Toyota Yaris passenger car and a 2014 Chevy Silverado pickup truck, corresponding to the MASH 1100C and 2270P test vehicle specifications, respectively. The FE models of the vehicles were originally developed at the National Crash Analysis Center (NCAC) and previously validated using the standard tests for crashworthiness. Fang et al. [72] enhanced the numerical stability of these models by remeshing and adding hourglass controls to handle large deformations. Some of the contact definitions between dissimilar materials, such as between metals and plastic bumpers, were updated using pinball segment-based single-surface contact definitions to overcome premature terminations of the simulations caused by contact instabilities. The initial penetrations, which were due to small errors in geometry caused by meshing, were removed by separating those components involved. The improved vehicle models were validated using physical crash tests on another bridge rail system (also with a metal rail anchored on a concrete parapet) and were shown to have good accuracy and numerical stability [72]. Figure 8 shows the vehicle models used in this study and Table 2 summarizes the detailed information of the two models. These models are available from the National Highway Traffic Safety Administration (NHTSA) [75].

The vehicle models included fully functional suspensions and steering systems. The following is a list of the main material models for both vehicle models:

• MAT_PIECEWISE_LINEAR_PLASTICITY (MAT_024): for all steel components.

• MAT_RIGID (MAT_020): for accelerometers and non-deformable materials.

• MAT_ELASTIC (MAT_001): for rubber components.

• MAT_LINEAR_ELASTIC_DISCRETE_BEAM (MAT_066): for shock absorbers with viscous damping effects.

• MAT_LOW_DENSITY_VISCOUS_FOAM (MAT_073): for the radiator.

• MAT_SPOTWELD (MAT_100): for sheet metal connections.

• MAT_NULL (MAT_009): for contact definitions.

• MAT_SPRING_NONLINEAR_ELASTIC (MAT_S04): for the suspensions.

3.2. Model Validation

The test vehicle models were validated using crash tests conducted at the Midwest Roadside Safety Facilities (MwRSF) in 2019 [76]. A 27.4 m (90 ft) long NCDOT two-bar metal rail was constructed and impacted by two test vehicles in accordance with MASH TL-3 requirements. The two-bar metal rail was made of aluminum rails attached to aluminum posts that were supported by a concrete parapet. The FE model of the two-bar metal rail was created using similar modeling techniques and material models to that for the TMBR. Due to challenges in obtaining test vehicles over five years old, test vehicles with the exact models and years of the FE vehicle models could not be acquired. Consequently, alternative vehicles were utilized for the testing: a 2010 Hyundai Accent sedan and a 2015 Chevy Silverado pickup truck. Despite variations in make and model year, these vehicles exhibited comparable dimensions, body structures, and mass relative to the FE models. Figure 9 demonstrates the correlation between vehicular responses in the simulations and those observed in the actual crash tests.

The boundary conditions used in the simulations were set to match the test conditions. In the simulation model, the road surface and the bottom of the concrete parapet were constrained for all degrees of freedom to prevent any translational or rotational displacements. An initial translational velocity was assigned to all vehicle components in the global coordinate system to initiate the motion.

It can be seen from Figure 9 that the 2010 Toyota Yaris and 2014 Chevy Silverado exhibited similar overall responses to their respective test vehicles in terms of vehicular redirection characteristics and structural deformations. Subsequently, Figure 10 and Figure 11 provide detailed visual representations of the trajectories of these two vehicles, capturing data from both the crash tests and the simulations to facilitate a comprehensive analysis of the dynamics involved. Note that the rectangular boxes in Figure 10b and Figure 11b are the exit boxes corresponding to those shown in Figure 10a and Figure 11a, respectively.

Figure 12 and Figure 13 show the comparison of FE simulation results to test data of vehicle accelerations of the 1100C and 2270P vehicles, respectively. The longitudinal and lateral accelerations from the simulations had similar trends to those from test data.

The simulated vehicles’ roll, pitch, and yaw angles, as well as the values of occupant impact velocity (OIV) and occupant ride-down accelerations (ORAs), were found to generally match well with physical test data. The validated vehicle models were then used in the crash simulations of the TMBR.

4. Evaluation of TMBR

4.1. Simulation Setup and Evaluation Criteria

Crash simulations of the TMBR under the impact of the 1100C and 2270P test vehicles were conducted. In alignment with MASH TL-2 and TL-3 standards, the impacts were conducted at an angle of 25°. For both vehicle models, MASH TL-2 required an impact speed of 44 mph (70 km/h), and MASH TL-3 specified a speed of 62 mph (100 km/h). The expansion joint of the TMBR was used as the reference point to determine the critical impact points (CIPs) for all the impact cases. The distances from the CIPs to the reference point were specified in MASH for each of the test cases as listed in Table 3.

The following performance evaluation criteria were used on the TMBR:

1. Structural Adequacy by MASH Criterion A. The TMBR was designed to ensure that vehicles were contained and redirected without overriding, underriding, or penetrating the bridge rail.

2. Occupant Risk by MASH Criteria D, F, H, I: These criteria define the assessed risk to occupants during a crash.

   • Criterion D: No debris from the TMBR should enter the passenger compartment during the crash;

   • Criterion F: Maximum pitch and roll angles of the vehicle must not exceed 75°; and

   • Criteria H and I: Two risk factors for occupant safety were considered: occupant impact velocity (OIV) and occupant ride-down acceleration (ORA). The acceptable and preferred limits for OIV are 12.2 m/s and 9.1 m/s, respectively. The acceptable and preferred limits of ORA are 20.5 G and 15.0 G, respectively, where G is the acceleration of gravity.

Post-Impact Trajectory by MASH Criterion N. This criterion, also known as the exit box criterion, assesses the risk of the vehicle crashing into other vehicles after being redirected back to the travel lane. The exit box is a rectangular box with its long side along the traffic side of the barrier (Figure 14). The top-left corner of the exit box was the final point of contact of the rear wheel with the initial, undeformed barrier face. The dimensions of the exit boxes for the two test vehicles are listed in Table 4.

• The width of the exit box, A, was calculated using the width and length of the vehicle (V_W and V_L) by (7.2 + V_W + 0.16V_L);

• the length of the exit box, B, had a specified value for each type of vehicle; and

• all four wheels of the impact vehicle are required to remain inside the exit box to ensure a small exit angle for the vehicle to safely return to the roadway.

4.2. Vehicular Crashes According to MASH TL-2 Requirements

The TMBR was subjected to the impacts at a 25° angle by both vehicles traveling at 70 km/h in accordance with the MASH TL-2 condition. The vehicle trajectories of the 2010 Toyota Yaris and 2014 Chevy Silverado are shown in Figure 15, with the exit boxes marked along with the original, undeformed TMBR. For both impact cases, the MASH Criterion N was met since both vehicles were redirected, as shown in Figure 15. The exit angles were 20° and 2.2° for the 2010 Toyota Yaris and 2014 Chevy Silverado, respectively. Although the exit angle of the Yaris is much larger than that of the Silverado, it was considered a safe redirection by the post-impact trajectory.

Figure 16 shows the angular motion histories of test vehicles impacting the TMBR. The 2010 Toyota Yaris recorded maximum roll and pitch angles of 5.3° and 3.6°, respectively. In comparison, the 2014 Chevy Silverado exhibited maximum roll and pitch angles of 7.1° and 2.2°, respectively. For both test vehicles, these values confirm compliance with MASH Criterion F, which requires that roll and pitch angles do not exceed 75°, thereby ensuring the safety effectiveness of the TMBR under these specific impact conditions.

The risk factors for occupant safety, OIVs and ORAs, were determined using the longitudinal and lateral accelerations of the test vehicles, as shown in Table 5. Along with the evaluation results for MASH Criteria A, D, F, and N in Table 6 and Table 7, the TMBR satisfied all safety requirements under MASH TL-2 test conditions. The maximum deflections of the TMBR, both permanent and dynamic, were found negligible in both impact scenarios.

4.3. Vehicular Crashes According to MASH TL-3 Requirements

The vehicle trajectories under TL-3 conditions are shown in Figure 17. The 2010 Toyota Yaris was minimally redirected before it rebounded towards the travel lane, leading to a failure to meet the MASH Criterion N for the TMBR in this instance. For the impact case by the 2014 Chevy Silverado, the exit angle was 16°, confirming that MASH Criterion N was satisfied as the vehicle was successfully redirected.

Figure 18 shows angular motion histories of test vehicles impacting the TMBR. The maximum roll and pitch angles were 6.0° and 10.8°, respectively, for the 2010 Toyota Yaris. For the 2014 Silverado, the maximum roll and pitch angles were determined to be 5.0° and 4.1°, respectively, meeting the requirement of MASH Criterion F.

The risk factors for occupant safety (OIVs and ORAs) were calculated for both impact cases and are summarized in Table 8, along with the results for MASH Criteria A, D, F, and N given in Table 9 and Table 10. The results indicate that the TMBR did not meet the requirements of MASH Criterion H in the case of the 2010 Toyota Yaris due to the high longitudinal OIV value (OIVx). Additionally, as previously mentioned, the TMBR also failed to meet MASH Criterion N in the same case. Despite these issues, all other safety requirements were satisfied under MASH TL-3 test conditions. The maximum deflections of the TMBR were calculated for both impact scenarios and were found to be insignificant.

4.4. Vehicular Crash into TMBR behind a Sidewalk

Under in-service conditions, the TMBR requires a sidewalk with a minimum width of 1.52 m. This is different from the flat-terrain condition specified in MASH; therefore, the performance of the TMBR could be different from that without the sidewalk. Since the TMBR failed to pass Criteria H and N when impacted by the 2010 Toyota Yaris subject to TL-3 requirements, the FE model of the TMBR was updated to include a 1.52 m wide sidewalk and re-evaluated under the impact of the 2010 Toyota Yaris subject to TL-3 requirements (see Figure 19). In this simulation, the vehicle would first hit the curb face of the sidewalk, ride up the sidewalk, and impact the TMBR. The CIP was the same as that in Section 4.3, with the reference point at the expansion joint of the TMBR.

Figure 20 shows the 2010 Toyota Yaris trajectory impacting the TMBR with a sidewalk. Redirection of the vehicle with a 15° exit angle was observed; therefore, the TMBR met MASH Criterion N. The angular motion histories of the 2010 Toyota Yaris were obtained and the maximum roll and pitch angles were determined to be 6.6° and 3.8°, respectively, not exceeding the 75° limit according to the MASH Criterion F.

Table 11, Table 12 and Table 13 summarize the results of the performance evaluation for the TMBR with a sidewalk impacted by a 2010 Toyota Yaris. The TMBR met all MASH safety requirements, except for the longitudinal OIV value that exceeded the limit by 3.93%. When compared to the results for the TMBR without a sidewalk (Table 8), it was observed that the presence of the sidewalk significantly reduced the longitudinal OIV value from 15.28 m/s to 12.68 m/s. This was due to the initial contact of the vehicle with the curb face of the sidewalk, which reduced the peak acceleration of the vehicle in the longitudinal direction upon impacting the TMBR. Although the OIV value in the case with a sidewalk still exceeded the MASH limit, the small percentage (3.93%) could be considered well within the margin of error and would not raise serious concerns.

5. Major Research Findings

The performance of TMBR was evaluated using finite element simulations of vehicular crashes based on MASH TL-2 and TL-3 requirements. Two vehicle models and the TMBR model were used in the simulations. The major findings of the study are summarized as follows:

• Under MASH TL-2 test conditions, the TMBR was shown to pass all the safety requirements on structural adequacy (MASH Criterion A), occupant risk (MASH Criteria D, F, H, and I), and post-impact trajectory (MASH Criterion N). The damage to the rails was acceptable and no debris entered the occupant compartments of the vehicles.

• For MASH TL-3 test conditions, the TMBR met all safety requirements subject to the impact of the 2014 Chevy Silverado. However, the TMBR failed to pass the safety requirements of MASH Criteria H and N under the impact of the 2010 Toyota Yaris. Specifically, the longitudinal OIV value did not satisfy the MASH limit requirement. Moreover, the vehicle was bounced back and unable to be redirected, indicating failure of MASH Criterion N.

• Under in-service conditions (i.e., the TMBR was installed behind a 1.52 m wide sidewalk), the impact severity on the TMBR was reduced in the case of the 2010 Toyota Yaris according to MASH TL-3 requirements. The TMBR with the sidewalk passed all safety requirements except for the longitudinal OIV value that exceeded the MASH limit by 3.93%. This small percentage could be considered well within the error margins and would not cause serious safety concerns.

• The numerical models and modeling techniques adopted in this study were shown to be effective through model valuation using full-scale physical crash test data. Although the makes and/or years of the vehicles in the physical tests and FE simulations were different, the numerical simulation results and test data generally agreed well in overall vehicular responses. More full-scale crash tests, particularly those with the same or similar vehicles as the FE models, would be extremely useful and important to further fine-tune the FE models and improve their accuracy and fidelity.

6. Conclusions

In this study, FE simulations of vehicles crashing into a three-bar metal bridge rail (TMBR) were performed. The FE models of two test vehicles were validated, and the FE model of the TMBR was constructed. Vehicular crash simulations were performed per both MASH TL-2 and TL-3 requirements, and the performance of the TMBR was evaluated according to MASH criteria on structural adequacy, risks of occupants in the vehicle, and trajectories of vehicles after impacts. It is concluded that the TMBR met all evaluation criteria under MASH TL-2 impacts. However, the TMBR failed to pass all safety requirements under MASH TL-3 conditions, due to a large longitudinal OIV value and failure to stay within the exit box. The TMBR was also evaluated under in-service conditions, i.e., installed behind a 1.52 m wide sidewalk, when impacted by 1100C under MASH TL-3 conditions. The sidewalk reduced the impact severity on the TMBR, and MASH Criterion N was met under the in-service conditions. Although the longitudinal OIV value still exceeded the MASH limit, the value 3.93% over the limit was small enough to be considered within the error margins without serious safety concerns.

The simulation results provide insights into general trends of vehicular responses and TMBR performance but should not be used as definitive conclusions about TMBR performance under specific impact scenarios. The potential issues or safety concerns identified in the simulations can guide future designs, improvements, and further testing. Full-scale crash tests are essential for validating simulation results and assessing real-world performance. Numerical simulations have proven to be a valuable tool in crashworthiness and transportation safety studies, complementing physical tests by providing cost-effective ways to explore various design options for different crash scenarios.

Author Contributions

Conceptualization, H.F.; methodology, H.F.; software, E.P. and L.P.; validation, E.P., L.P. and D.B.; formal analysis, E.P. and L.P.; investigation, H.F., E.P. and Q.W.; resources, H.F.; data curation, E.P., L.P. and D.B.; writing—original draft preparation, H.F. and Q.W.; writing—review and editing, H.F., C.J., Q.W., E.P., L.P. and D.B.; visualization, E.P., Q.W. and L.P.; supervision, H.F.; project administration, H.F.; funding acquisition, H.F. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

The research data are available upon reasonable requests to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Footnotes

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Figures and Tables

Table 1

Basic material properties of TMBR components.

Material	Young’s Modulus	Poisson’s Ratio	YieldStress	Tangent Modulus	ShearModulus	BulkModulus
Steel	200 GPa	0.3	0.448 GPa	3.2 GPa	N/A	N/A
Aluminum	68 GPa	0.3	0.287 GPa	N/A	N/A	N/A
Concrete	N/A	N/A	N/A	N/A	11.52 GPa	12.61 GPa

Table 2

FE model attributes of the two test vehicles used in simulation.

Model Attributes	2010 Toyota Yaris	2014 Chevy Silverado
Mass (kg)	1101.70	2277.60
Number of parts	941	1498
Number of nodes	1,488,671	2,809,787
Number of solid elements	259,803	284,286
Number of shell elements	1,254,993	2,654,053
Number of beam elements	4802	22,403
Number of discrete elements	19	36

Table 3

MASH TL-2 and TL-3 requirements for 1100C and 2270P test vehicles.

Test Level	Impact Speed	Impact Angle	CIP Distance to Reference Point
TL-2	70 km/h (44 mph)	25°	1100C: 1.01 m; 2270P: 0.80 m
TL-3	100 km/h (62 mph)	25°	1100C: 1.10 m; 2270P: 1.31 m

Table 4

MASH exit box dimensions.

Vehicle Model	A	B
2010 Toyota Yaris (1100C)	5.16 m	10.00 m
2014 Chevy Silverado (2270P)	4.58 m	10.00 m

Table 5

Performance evaluation of TMBR by MASH TL-2 Criteria H and I.

MASH Criteria	Criterion H		Criterion I
	OIVx	OIVy	ORAx	ORAy
Limit Values	12.2 m/s	12.2 m/s	20.5 G	20.5 G
2010 Yaris	9.57 m/s	7.73 m/s	2.44 G	2.15 G
2014 Silverado	5.65 m/s	5.37 m/s	5.18 G	4.86 G
Evaluation Result	Met	Met	Met	Met

Table 6

Performance evaluation of TMBR by MASH TL-2 Criterion A.

MASH Criteria	Criterion A
	Permanent Deflection	Dynamic Deflection	Overriding	Underriding	Penetration
Limit Values	/	/	/	/	/
2010 Yaris	74.0 mm	122.9 mm	No	No	No
2014 Silverado	122.8 mm	250.7 mm	No	No	No
Evaluation Result	Met	Met	Met	Met	Met

Table 7

Performance evaluation of TMBR by MASH TL-2 Criteria D, F, and N.

MASH Criteria	Criterion D	Criterion F		Criterion N
	Intrusion of Debris	Maximum Roll Angle	Maximum Pitch Angle	Within Exit Box	Exit Angle
Limit Values	/	75°	75°	/	/
2010 Yaris	No	5.3°	3.6°	Yes	20°
2014 Silverado	No	7.1°	2.2°	Yes	14°
Evaluation Result	Met	Met	Met	Met	Met

Table 8

Performance evaluation of TMBR by MASH TL-3 Criteria H and I.

MASH Criteria	Criterion H		Criterion I
	OIVx	OIVy	ORAx	ORAy
Limit Values	12.2 m/s	12.2 m/s	20.5 G	20.5 G
2010 Yaris	15.28 m/s	9.87 m/s	11.04 G	5.75 G
2014 Silverado	9.93 m/s	8.25 m/s	8.55 G	6.28 G
Evaluation Result	Failed	Met	Met	Met

Table 9

Performance evaluation of TMBR by MASH TL-3 Criterion A.

MASH Criteria	Criterion A
	Permanent Deflection	Dynamic Deflection	Overriding	Underriding	Penetration
Limit Values	/	/	/	/	/
2010 Yaris	137.9 mm	208.9 mm	No	No	No
2014 Silverado	204.6 mm	283.0 mm	No	No	No
Evaluation Result	Met	Met	Met	Met	Met

Table 10

Performance evaluation of TMBR by MASH TL-3 Criteria D, F, and N.

MASH Criteria	Criterion D	Criterion F		Criterion N
	Intrusion of Debris	Maximum Roll Angle	Maximum Pitch Angle	Within Exit Box	Exit Angle
Limit Values	/	75°	75°	/	/
2010 Yaris	No	6.0°	10.8°	No	18°
2014 Silverado	No	5.0°	4.1°	Yes	16°
Evaluation Result	Met	Met	Met	Failed	Met

Table 11

Performance evaluation of TMBR with sidewalk by MASH TL-3 Criteria H and I.

MASH Criteria	Criterion H		Criterion I
	OIVx	OIVy	ORAx	ORAy
Limit Values	12.2 m/s	12.2 m/s	20.5 G	20.5 G
2010 Yaris	12.68 m/s	10.35 m/s	10.50 G	3.72 G
Evaluation Result	Fail 1	Met	Met	Met

¹ Exceeding the limit by 3.93%.

Table 12

Performance evaluation of TMBR with sidewalk by MASH TL-3 Criterion A.

MASH Criteria	Criterion A
	Permanent Deflection	Dynamic Deflection	Overriding	Underriding	Penetration
Limit Values	/	/	/	/	/
2010 Yaris	11.25 mm	14.9 mm	No	No	No
Evaluation Result	Met	Met	Met	Met	Met

Table 13

Performance evaluation of TMBR with sidewalk by MASH TL-3 Criteria D, F, and N.

MASH Criteria	Criterion D	Criterion F		Criterion N
	Intrusion of Debris	Maximum Roll Angle	Maximum Pitch Angle	Within Exit Box	Exit Angle
Limit Values	/	75°	75°	/	/
2010 Yaris	No	6.6°	3.8°	Yes	15°
Evaluation Result	Met	Met	Met	Met	Met

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