1. Introduction
Reinforced concrete (RC) beams with openings can be found in various structures such as buildings, bridges, and tunnels. The openings are typically created to accommodate utility lines, ducts, or other mechanical equipment [
1]. Architectural engineers often prefer to avoid passing utilities such as pipes and cables under RC beams as it increases the floor height and, accordingly the building height [
2]. Therefore, structural engineers had to take such openings into consideration in the preliminary design stages. The size and location of the opening significantly affect the structural behavior of RC beams. Numerous studies have been conducted on RC beams with different opening shapes, sizes, and locations [
3,
4,
5,
6,
7,
8,
9,
10,
11]. They reported that openings in the shear zone reduce RC beams' stiffness and load-carrying capacity more than that in the flexure zone. Moreover, large openings deteriorate the beam, especially in the service stage, more than small openings [
12]. Web openings could be executed in several shapes, such as circular, diamond, triangular, rectangular, etc. [
13].
Plenty of studies reported different classifications of web openings in RC beams in terms of size, shape, location, and execution time [
6]. Somes et al. considered the circular opening as large when its diameter exceeds 25% of the total beam depth [
14]. Another classification criterion mentioned by Mansur suggested considering the rectangular opening as large if its length exceeds the top and bottom chord members' thicknesses [
15]. Mansur's classification was based on forming four plastic hinges at each opening corner as the beam mechanism. However, Ahmed et al. recommended not categorizing the opening according to its size but the overall behavior of the beam [
16]. In other words, if the beam with an opening follows the traditional theory of RC beams, then the opening could be categorized as small. With regard to the execution time of the opening, it is better to have a pre-planned opening rather than a post-planned one. The pre-planned openings could be considered during the design stage, saving much time and cost for strengthening. Even though no specific standards or codes provide the design guidelines for such beams with openings, the design engineer could find helpful information and guidance in some design books, such as Mansur and Tan [
17]. However, in some cases, post-planned openings are required after building execution for some changes in mechanical and electrical services. Hence, in such cases, strengthening RC beams is needed.
In general, strengthening of RC beams becomes necessary in some cases due to various reasons such as aging, structural damage, introducing an opening, increased loading, and changes in usage [
18,
19,
20]. The significance of strengthening RC beams lies in the ability to maintain the structural integrity of a building or structure, ensuring it remains safe and stable for its intended purpose [
21,
22,
23]. RC beams can be strengthened using various techniques, and the most appropriate method depends on the specific conditions and requirements of the structure [
24]. To date, several researchers investigated different strengthening techniques in order to mitigate the deterioration that occurred due to the presence of openings in RC beams. For instance, Alyaseen et al. studied the effect of using Carbon Fiber-Reinforced Polymer (CFRP) sheets around the opening in shear zones [
25]. They concluded that strengthening the bottom chord using one CFRP sheet in the shear zone is more beneficial than adding two CFRP layers around the chord. Chin et al. tested five beams with large circular, and rectangular openings strengthened with CFRP laminates under four-point loading [
26]. The experimental results exhibited the ability of CFRP laminates to enhance the cracking and the deflection at service stages in addition to increasing the load-carrying capacity of the test beams. Hassan et al. restored the shear capacity of RC beams with a web opening in the shear zone by adding a thin layer of precast strain-hardening cementitious composites (SHCC) plate [
13]. The findings showed a significant enhancement in test beams' load-carrying capacity and ductility strengthened with reinforced SHCC plate. Many other techniques were developed to strengthen RC beams with web opening, whether located in the shear or flexure zone [
27,
28,
29,
30,
31,
32]. However, to the best of the authors' knowledge, the available literature shows a research gap in strengthening RC beams with web openings in shear zones using shape memory alloy (SMA) bars.
SMAs have unique properties, such as the ability to recover the inelastic strain upon heating or unloading, which are known as the shape memory effect (SME) and superelasticity phenomenon, respectively [
33,
34]. Moreover, SMAs exhibit easier installation processes than other alternatives, especially for pre-stressing applications. This is attributed to the aforementioned phenomenon of recovering the inelastic strains upon heating. Therefore, different applications of SMAs have been studied in recent decades [
35,
36,
37,
38,
39,
40]. Azadpour et al. [
35] investigated the behavior of RC continuous beams strengthened with SMA strands under cyclic loading. The experimental results showed a significant improvement in the energy absorption capacity of the test specimens due to the superelasticity effect of SMAs. Schranz et al. [
41] tested RC bridge deck specimens strengthened with iron-based SMA (memory-steel) bars. They embedded the bars in a new mortar layer after removing the concrete cover. The findings emphasized Fe-SMA bars' ability to enhance the strengthened specimens' cracking, yielding, and ductility. Suhail et al. used pre-stressed SMA loops in seismic retrofitting of RC beam-column joints [
42]. They reported an increase of nearly 65% and 35% in the energy dissipation and ultimate load capacities, respectively.
Finite Element Analysis (FEA) is an important tool used in engineering and applied sciences to simulate and analyze complex physical phenomena [
43,
44,
45,
46,
47,
48]. It involves the use of numerical methods to approximate the solutions of partial differential equations (PDEs) that describe the behavior of the physical system under consideration. Also, it enables designers and engineers to optimize designs, predict performance, reduce costs, conduct research, and ensure safety and reliability [
49,
50]. This study addresses the research gap mentioned in the literature by using the nonlinear finite element package ABAQUS to numerically analyze RC beams with web openings in shear zones strengthened with pre-stressed Fe-SMA bars. First, validation models are established and compared with experimental results from published test data carried out by Shahverdi et al. [
51]. The numerical results are displayed in terms of load-deflection responses, ultimate loads, and corresponding deflections. The authors have reported the validation results in their previous study [
52].
2. Finite element modeling (FEM)
FEM is an efficient and cost-effective alternative to laboratory tests for studying concrete structures [
53]. In contrast, laboratory tests are time-consuming and costly. Nevertheless, to the best of the authors' knowledge, only a limited number of numerical studies have been conducted on RC beams with strengthened web openings. Therefore, this study aims to use the FEM to simulate the behavior of reinforced concrete beams with Fe-SMA-strengthened web openings. An overview of the constitutive models for concrete, steel, and Fe-SMA bars is presented in this section. Additionally, this section presents element types, convergence criteria, and the parametric study program.
2.1. Material constitutive models
2.1.1. Concrete
ABAQUS provides several options for modeling the behavior of concrete in finite element simulations [
54]. The most common types of concrete constitutive models in ABAQUS are: smeared cracking, brittle cracking, and concrete damaged plasticity [
55]. The smeared cracking technique considers the concrete as a homogenous material and the cracks are not explicitly modeled. Instead, the cracking behavior is represented by a smeared crack model that assumes that the concrete is a continuous material with reduced stiffness after cracking. The smeared crack model is characterized by a stress-strain relationship that accounts for the reduction in stiffness after cracking. This approach is appropriate for modeling concrete structures in which cracking does not play a dominant role. On the other hand, in the brittle cracking approach, the concrete is considered as a discrete material and the cracks are explicitly modeled. The brittle cracking model assumes that the concrete fails abruptly once the tensile strength is exceeded, resulting in a complete loss of load-carrying capacity. This approach is suitable for modeling brittle materials where failure occurs at a very low strain level. The last technique is Concrete Damaged Plasticity (CDP) model. This approach combines the features of the smeared cracking and brittle cracking models. The concrete is modeled as a continuous material and the cracking behavior is represented by damage variables that evolve as the concrete undergoes loading. The damage variable is used to reduce the stiffness of the concrete after cracking and it also influences the material behavior after cracking (
Figure 1). In addition, the model includes a plasticity component that allows the concrete to undergo inelastic deformation before failure. This approach is suitable for modeling concrete structures where both cracking and plastic deformation are significant factors, as in RC beams. These models have different levels of complexity and assumptions, and the choice of the most appropriate model depends on the specific problem being simulated and the available experimental data [
56].
The current study adopts the CDP to model the concrete parts. In general, the stress-strain relationship of concrete in ABAQUS can be defined using material properties such as the modulus of elasticity, Poisson's ratio, yield strength, and ultimate strength. Also, it needs parameters specific to the chosen model, such as the concrete damage plasticity parameters defined in
Table 1. These parameters are defined in the material library, which can be accessed through the ABAQUS/CAE interface or input files [
57]. However, this study utilizes the same values used in the authors' previous study [
52]. According to the literature, several studies proposed different concrete stress-strain relationships [
58,
59]. This study adopts the stress-strain relationship defined by Hsu and Hsu [
59], as demonstrated in
Table 2. More information can be found in the previous published research paper by the same authors [
52].
Tension stiffening refers to the phenomenon in reinforced concrete structures where the concrete between the cracks of the tensioned reinforcement stiffens due to the tensile stress transfer from the reinforcing bars. This stiffening effect increases the load-carrying capacity of the concrete structure. In ABAQUS, tension stiffening can be modeled using the CDP material model. The CDP model accounts for the degradation of the concrete stiffness due to cracking and the tension stiffening effect. The model uses a scalar damage variable to track the extent of cracking in the concrete and a tension stiffening function to model the increase in stiffness due to the tensioned reinforcement. To apply tension stiffening in ABAQUS, it is necessary to define the appropriate parameters for the CDP model, including the tensile strength and the tension stiffening function. Also, it is available to specify the reinforcement layout and properties to simulate the interaction between the reinforcement and the concrete. Once the material and reinforcement properties have been defined, the behavior of the reinforced concrete structure under load can be simulated using ABAQUS. The model will account for the tension stiffening effect, which can significantly improve the accuracy of the analysis, particularly for structures subjected to tensile loads. The current study utilizes the definition of tension stiffening according to CEB-FIP code [
60], as depicted in
Table 3. However, the authors recommended minor modifications based on the conducted sensitivity analyses, as mentioned in their previous study [
52].
2.1.2. Steel bars
In ABAQUS, steel bars can be defined using a bi-linear stress-strain relationship. The material properties of steel bars are defined by an elastic modulus and yield stress of 210 GPa and 508 MPa, respectively [
51]. After defining the reinforcing bar properties, a tie constraint is used to attach the reinforcing bars to the concrete or other structural elements. The tie constraint allows the user to specify the attachment points of the reinforcing bars and the stiffness of the bond between the bars and the surrounding elements. Based on the validation results mentioned in [
52], full bonding constraints between steel bars and surrounding concrete are assumed.
2.1.3. Fe-SMA bars
Recently, numerous studies have been conducted to characterize Fe-SMA that have tremendous potential in civil engineering structures, but their application is still at an early stage. Recent developments in alloy composition and manufacturing offer new perspectives, particularly for repairing and constructing new structures, when utilizing these Fe-SMAs as pre-stressing tendons. The properties of Fe-SMA, as determined by Shahverdi et al. [
51] are defined in this study. The chemical composition of simulated iron-based shape memory alloy (Fe-SMA) bars is Fe-17Mn-5Si-10Cr-4Ni-1(V, C) based on mass ratio. The elastic modulus of 133 GPa and Poisson's ratio of 0.30 is utilized in this study. Due to the absence of the built-in Fe-SMA models in ABAQUS, a two-step technique is used to simulate the pre-stressed Fe-SMA bars response. First, an experimental stress-strain curve from Shahverdi et al. [
51] is defined in the material properties section, similar to conventional steel bars. Second, a predefined field is activated and used to define the recovery stress, which accounts for the pre-stressing effect.
Figure 2 depicts the abovementioned stress-strain relationship, while
Figure 3 exhibits the pre-stressing effect on the deformed shape of the beam model. It can be noticed that the defined stress-strain curve (solid-red curve) is very close to the experimental data (black-dashed curve) during the loading stage. Three pre-stressing levels (
Pi), which indicate the percentage recovery of stress are defined in ABAQUS. Specifically,
Pi (recovery stress) of 0% (0 MPa), 30% (225 MPa), and 60% (450 MPa) are investigated in the current study.
2.2. Element types
The C3D8R element in ABAQUS is used to model the concrete parts, as demonstrated in
Figure 4. It is a solid element with eight nodes and reduced integration (R) that is commonly used for simulating the behavior of 3D structures. This element has three degrees of freedom per node (translations in x, y, and z directions) and is suitable for modeling structures with relatively simple geometries, such as beams and columns. The reduced integration scheme in the C3D8R element reduces the number of integration points required for analysis, resulting in faster computational times. To define a C3D8R element in ABAQUS, it is necessary to specify the coordinates of the eight nodes that define the element, as well as any material properties and boundary conditions that apply. ABAQUS provides several tools for visualizing the results of C3D8R element analyses, including contour plots of stress, strain, and other variables, as well as animations that show the deformation of the structure over time. The T3D2 element is a second-order, three-node, linear displacement-based solid element used in ABAQUS for 3D simulations. It has six degrees of freedom (DOFs) per node, including three translations and three rotations. This element is utilized to define the steel and Fe-SMA bars in the current study, as shown in
Figure 4. It is a popular choice for analyzing problems involving reinforcement bars with linear material behavior, such as static and dynamic structural analysis. It is also commonly used in analyzing stress concentration problems and in modeling adhesive joints.
In ABAQUS, mesh size can have a significant effect on the accuracy and computational efficiency of a simulation. The mesh size refers to the size of the individual elements that make up the finite element mesh used to represent the geometry of the model. Generally, using smaller element sizes (finer mesh) will improve the accuracy of the results but also increase the computational cost and time required to run the simulation. Conversely, using larger element sizes (coarser mesh) will reduce the computational cost and time required to run the simulation, but at the expense of accuracy. It is important to note that the optimal mesh size depends on the specific application and the simulation requirements. In general, a good approach is to start with a coarse mesh and gradually refine it until the results converge to a desired level of accuracy. ABAQUS provides several techniques for mesh refinement, including global and local mesh controls. Global mesh controls apply to the entire model and can be used to change the element size uniformly throughout the model. Local mesh controls allow for more precise control over the mesh density in specific regions of the model and can be used to refine the mesh in areas of interest while maintaining a coarser mesh in other regions. The current study adopts a 20 mm element size to balance accuracy and computational efficiency.
Tie constraints are used in ABAQUS to connect surfaces or edges of two or more bodies such that they move together as a single unit. The tie constraint is a type of constraint that allows the user to specify that the displacement of one surface or edge is tied to the displacement of another surface or edge. Hence, once the tie constraint has been applied, any displacement of the tied surfaces or edges will be transferred to the other connected surfaces or edges, allowing them to move together as a single unit. The surface-based tie constraint is used in the current study to connect different elements, as shown in
Figure 4.
2.3. Convergence criteria
The convergence criteria in ABAQUS are typically used to monitor the accuracy and stability of the solution during the iterative solution process. In other words, they are used to determine when the solution has converged to a sufficiently accurate and stable solution, and the iterative process can be stopped. ABAQUS provides a range of convergence criteria and allows users to customize the criteria based on the analysis type. Nevertheless, in most problems, there is no need to adjust these criteria since the default controls satisfy the desired degree of accuracy. They can vary depending on the type of analysis being performed. Some common convergence criteria used in ABAQUS include the quasi-Newton method, separated method, field equations, and constraint equations. It is worth noting that the ABAQUS default controls were used in this study, and the solution has efficiently converged.
2.4. Parametric study program
In the current study, the parametric study program is divided into six groups (four specimens each) in addition to a control beam, as depicted in
Table 4. The cross-section dimensions of a typical beam were 350 mm in depth, 150 mm in width, and 2400 mm in total length. The beam is designed to fail due to shear stresses. The beams are investigated under a four-point loading scheme with a shear span of 900 mm (three times the beam depth), which assures minimal arch effect as recommended by Collins et al. [
61]. The dimensions and reinforcement details of the tested beams are shown in
Figure 5. The test parameters include (a) opening length, (b) Fe-SMA bars ratio, and (c) pre-stressing level of Fe-SMA bars. The control beam (BC) is solid without web openings, and used as a benchmark for comparing the behavior of the rest of the beams with web openings. Three different opening lengths of 150, 300, and 450 mm are used in this study, maintaining a constant opening depth of 100 mm.
Table 4 summarizes the characteristics of each examined beam. In group (I), four beams are modeled with opening dimensions of 100 x 150 mm: one beam without strengthening and three beams strengthened with 2T18 Fe-SMA bars at three pre-stressing levels (0%, 30%, and 60%). The same beam details are repeated in groups II and III but with different opening dimensions of 100 x 300 mm and 100 x 450 mm, respectively. Moreover, groups IV, V, and VI have identical opening dimensions to groups I, II, and III, respectively. However, the reinforcement ratio varies while the pre-stressing level is kept constant (30%).
Author Contributions
Conceptualization, M.E. and A.K.; methodology, M.E. and A.K.; software, M.E. and A.K.; validation, M.E. and A.K.; formal analysis, M.E. and A.K.; investigation, M.E. and A.K.; resources, M.E., A.K. and W.A.; data curation, M.E. and A.K.; writing—original draft preparation, M.E. and A.K.; writing—review and editing, M.E., A.K., M.A., R.H. and W.A.; visualization, M.E. and A.K.; supervision, M.A., R.H. and W.A.; project administration, M.A., R.H. and W.A.; funding acquisition, M.A., R.H. and W.A. All authors have read and agreed to the published version of the manuscript.
Figure 1.
Schematic of concrete response to uniaxial compression and tensile loadings [
57].
Figure 1.
Schematic of concrete response to uniaxial compression and tensile loadings [
57].
Figure 2.
Stress-strain relationship of Fe-SMA in ABAQUS.
Figure 2.
Stress-strain relationship of Fe-SMA in ABAQUS.
Figure 3.
Prestressing effect in ABAQUS.
Figure 3.
Prestressing effect in ABAQUS.
Figure 4.
Element types of the validation model in ABAQUS.
Figure 4.
Element types of the validation model in ABAQUS.
Figure 5.
Details of specimens: (a) geometry of specimens, (b) details of reinforcement, and (c) cross-sections details.
Figure 5.
Details of specimens: (a) geometry of specimens, (b) details of reinforcement, and (c) cross-sections details.
Figure 6.
Comparison of FEM and the experimental results by Shahverdi et al. [
51] of (a) beam 10 and (b) beam 11.
Figure 6.
Comparison of FEM and the experimental results by Shahverdi et al. [
51] of (a) beam 10 and (b) beam 11.
Figure 7.
Effect of introducing an opening in the shear span on the load-deflection response.
Figure 7.
Effect of introducing an opening in the shear span on the load-deflection response.
Figure 8.
Effect of introducing an opening in the shear span on ultimate and cracking loads.
Figure 8.
Effect of introducing an opening in the shear span on ultimate and cracking loads.
Figure 9.
Load-deflection response for beams with web openings (a) group I, (b) group II, and (c) group III – Effect of pre-stressing level.
Figure 9.
Load-deflection response for beams with web openings (a) group I, (b) group II, and (c) group III – Effect of pre-stressing level.
Figure 10.
Ultimate and cracking loads for beams with web openings (a) group I, (b) group II, and (c) group III – Effect of pre-stressing level.
Figure 10.
Ultimate and cracking loads for beams with web openings (a) group I, (b) group II, and (c) group III – Effect of pre-stressing level.
Figure 11.
Load-deflection response for beams with web openings of (a) group IV, (b) group V, and (c) group VI – Effect of Fe-SMA reinforcement ratio.
Figure 11.
Load-deflection response for beams with web openings of (a) group IV, (b) group V, and (c) group VI – Effect of Fe-SMA reinforcement ratio.
Figure 12.
Ultimate and cracking loads for beams with web openings (a) group IV, (b) group V, and (c) group VI – Effect of Fe-SMA reinforcement ratio.
Figure 12.
Ultimate and cracking loads for beams with web openings (a) group IV, (b) group V, and (c) group VI – Effect of Fe-SMA reinforcement ratio.
Table 1.
Concrete damage plasticity parameters [
52].
Table 1.
Concrete damage plasticity parameters [
52].
φ |
e |
fb0/fc0 |
K |
µ |
55 |
0.1 |
1.16 |
0.67 |
0.0001 |
Table 2.
Compressive
stress-strain relationships proposed by Hsu and Hsu [
59].
Table 2.
Compressive
stress-strain relationships proposed by Hsu and Hsu [
59].
Relationships |
Output parameter |
Units |
|
Empirical stress-strain relationship |
unitless |
|
Normalized stress |
unitless |
|
Normalized strain |
unitless |
|
Shape parameter |
unitless |
|
Peak strain |
in/in |
|
Initial tangential modulus |
kip/in2
|
|
Simplified shape parameter |
unitless |
|
Descending slope parameter |
unitless |
|
Maximum strain |
in/in |
Table 3.
Tensile stress-crack opening relationships proposed by CEB-FIP code [
60].
Table 3.
Tensile stress-crack opening relationships proposed by CEB-FIP code [
60].
Relationships |
Output parameter |
Units |
|
Tensile strength |
MPa |
|
Tensile stress |
MPa |
|
Maximum crack opening |
mm |
|
Crack opening |
mm |
|
Fracture energy |
N/mm |
|
Factor accounting for the maximum aggregate size () |
N/mm |
Table 4.
Parametric study program.
Table 4.
Parametric study program.
Group |
Beam ID |
Opening Dimensions |
Reinf. around opening |
Reinf. ratio (%) |
Pre-stressing level (%) |
Studied parameter |
a (mm) |
b (mm) |
Control |
BC |
- |
- |
- |
- |
- |
- |
(I) |
B-150 |
100 |
150 |
- |
- |
- |
Effect of pre-stressing level |
B-150-2T18-0% |
2T18 mm |
2.26 |
0 |
B-150-2T18-30% |
30 |
B-150-2T18-60% |
60 |
(II) |
B-300 |
100 |
300 |
- |
- |
- |
B-300-2T18-0% |
2T18 mm |
1.13 |
0 |
B-300-2T18-30% |
30 |
B-300-2T18-60% |
60 |
(III) |
B-450 |
100 |
450 |
- |
- |
- |
B-450-2T18-0% |
2T18 mm |
0.75 |
0 |
B-450-2T18-30% |
30 |
B-450-2T18-60% |
60 |
(IV) |
B-150* |
100 |
150 |
- |
- |
- |
Effect of reinforcement ratio |
B-150-2T22-30% |
2T22 mm |
3.38 |
30 |
B-150-2T18-30%* |
2T18 mm |
2.26 |
B-150-2T14-30% |
2T14 mm |
1.37 |
(V) |
B-300* |
100 |
300 |
- |
- |
- |
B-300-2T22-30% |
2T22 mm |
1.69 |
30 |
B-300-2T18-30%* |
2T18 mm |
1.13 |
B-300-2T14-30% |
2T14 mm |
0.68 |
(VI) |
B-450* |
100 |
450 |
- |
- |
- |
B-450-2T22-30% |
2T22 mm |
1.13 |
30 |
B-450-2T18-30%* |
2T18 mm |
0.75 |
B-450-2T14-30% |
2T14 mm |
0.46 |
Table 5.
Results summary of groups I, II, and III.
Table 5.
Results summary of groups I, II, and III.
Group |
Beam ID |
Pult, kN |
Pcr, kN |
δult, mm |
δcr, mm |
Control |
BC |
174.3 |
39.5 |
6.38 |
0.39 |
I |
B-150 |
109.9 |
35.0 |
8.00 |
0.35 |
B-150-2T18-0% |
171.7 |
35.1 |
6.62 |
0.39 |
B-150-2T18-30% |
196.5 |
35.2 |
5.91 |
0.42 |
B-150-2T18-60% |
190.1 |
35.5 |
5.62 |
0.43 |
II |
B-300 |
111.6 |
29.5 |
9.52 |
0.38 |
B-300-2T18-0% |
132.7 |
31.2 |
6.94 |
0.39 |
B-300-2T18-30% |
171.3 |
33.6 |
6.19 |
0.43 |
B-300-2T18-60% |
179.2 |
34.5 |
6.20 |
0.48 |
III |
B-450 |
90.6 |
19.8 |
9.47 |
0.29 |
B-450-2T18-0% |
119.0 |
28.5 |
7.37 |
0.41 |
B-450-2T18-30% |
148.8 |
32.8 |
9.27 |
0.55 |
B-450-2T18-60% |
167.2 |
33.8 |
8.93 |
0.56 |
Table 6.
Results summary of groups IV, V, and VI.
Table 6.
Results summary of groups IV, V, and VI.
Group |
Beam ID |
Pult, kN |
Pcr, kN |
δult, mm |
δcr, mm |
Control |
BC |
174.3 |
39.5 |
6.38 |
0.39 |
IV |
B-150 |
109.9 |
35.0 |
8.00 |
0.35 |
B-150-2T14-30% |
192.4 |
35.1 |
6.47 |
0.38 |
B-150-2T18-30% |
196.5 |
35.2 |
5.91 |
0.42 |
B-150-2T22-30% |
182.3 |
35.3 |
5.30 |
0.43 |
V |
B-300 |
111.6 |
29.5 |
9.52 |
0.38 |
B-300-2T14-30% |
158.5 |
33.3 |
5.61 |
0.42 |
B-300-2T18-30% |
171.3 |
33.6 |
6.19 |
0.43 |
B-300-2T22-30% |
177.9 |
34.1 |
6.38 |
0.45 |
VI |
B-450 |
90.6 |
19.8 |
9.47 |
0.29 |
B-450-2T14-30% |
145.7 |
32.2 |
9.36 |
0.52 |
B-450-2T18-30% |
148.8 |
32.8 |
9.27 |
0.55 |
B-450-2T22-30% |
160.7 |
32.9 |
9.56 |
0.57 |