4.1. Establishment of Finite Element Model
Due to the variety of material types, in order to obtain more accurate analysis results, this study adopted a separate model for modeling, selected a constitutive model similar to the material of the specimen, and applied the same boundary conditions and loads as in the test. The schematic diagram of the established prestressed mechanical connection assembly integral frame model [
20,
21] is shown in
Figure 10.
Element Type: The three-dimensional solid reduction integral element (C3D8R) [
22,
23] was used for simulation concrete. The characteristic of this type of element is that one less integral point is used in each direction compared with the fully integrated element, which can greatly reduce the time cost required for calculation, ensure the accuracy of simulation results, and avoid the problem of shear locking.
The three-dimensional two node truss element (T3D2) was used for the steel bar and strand. The beam element or truss element is more suitable for the component whose length direction is much larger than other direction, such as the steel bar and strand. Since the beam element can transfer the bending moment and shear force, but the truss element can only transfer tension, considering the stress characteristics of the steel bar and strand, the truss element was used.
Interactions & Restrains: ABAQUS needs to manually set the constraint relationship between the contact surfaces of different components. For the integrated prestressed frame model assembled by the mechanical connection steel bar, the interactions involved the interface between new and old concrete, steel bar and concrete, steel strand and concrete, and rigid pad and concrete.
The interaction between the pre-cast part and the post-cast part was divided into two parts, that is normal behavior and tangential behavior. The normal behavior of the interface between the new and old concrete was set to “hard” contact, which means that the contact pressure is generated when the gap between the two surfaces is zero, and the contact surface is separated when the contact pressure between the contact surfaces becomes zero or negative. The friction model with penalty function was used to set the friction behavior between two surfaces by the friction coefficient
μ. The ends of the prefabricated beam and column were provided with keyways, and the other new and old concrete interfaces were chiseled. European Union regulations state that, for the joint surface of the tooth groove,
μ = 0.9 [
24]. When the surface treatment is about 6 mm chisel,
μ = 1.0 [
25]. Therefore, the friction coefficient
μ set in this model was 0.9 at the keyway and 1.0 at the horizontal overlapping surface of the beam.
For the interaction between the unbonded prestressed tendons and concrete, in order to better reflect the actual conditions, no contact was defined between the concrete duct and the prestressed tendon. Instead, rigid cushions were placed at both ends of the beam, binding them to the concrete. The prestressed tendon ends were then connected through a magnesium phosphate cement restraint, thus transferring the prestress to the specimen via the rigid cushions.
The frame model was subjected to vertical and horizontal loads in the experiment, which were applied through three analysis steps: (1) prestress was applied to the steel strands using a cooling method; (2) axial pressure was applied at the top of the model column; and (3) low-cycle cyclic load was applied at the beam ends. The boundary conditions and loading methods are shown in
Figure 4 above.
To prevent stress concentration at the loading points, rigid cushions were placed at both ends of the beam and column, and the cushions were bound (tied) to the concrete. At the center of the rigid cushion surface, a reference point was set, and the reference point was coupled with the surface of the cushion. Both the load and displacement were applied at the reference point.
Model Meshing: In finite element analysis, mesh division significantly impacts computational accuracy and numerical convergence. Excessively large mesh sizes can lead to uneven stress distribution in critical regions, affecting the accuracy of local damage simulation, while excessively small mesh sizes increase computational cost and may even cause convergence difficulties. Therefore, this study achieves a balance between computational accuracy and efficiency by employing varying mesh sizes for different materials. Specifically, a mesh size of 50 mm was utilized for concrete to ensure adequate accuracy in regions with significant stress gradient variations. For reinforcement, steel strands, and steel plates, a mesh size of 100 mm was adopted, which reduces computational costs while maintaining an appropriate simulation of the interaction at the reinforcement–concrete interface. The meshed model is shown in
Figure 11.
4.2. Material Constitutive
The concrete damage plastic model can express the inelastic behavior of concrete through isotropic elastic damage and tensile and compressive plastic theory [
26], so the concrete damage plastic model was selected. The constitutive model of concrete in the Code for Design of Concrete Structures (GB50010-2010) was used for calculation.
The equation for uniaxial compression of concrete is from Equations (4) to (8), where
σc is compressive stress in concrete;
dc is the evolution parameters of concrete uniaxial compression damage;
Ec is the elastic modulus of concrete; ε
c is the compressive strain in concrete;
αc is the parameter value of the descending section of the uniaxial tensile stress–strain curve;
fc,r is the compressive strength of concrete; and ε
c,r is the peak compressive strain of concrete corresponding to
fc,r.
The equation for uniaxial tensile stress of concrete is from Equations (9) to (12), where
σt is the tensile stress in concrete;
dt is the evolution parameters of concrete uniaxial tensile damage; ε
t is the tensile strain in concrete;
αt is the parameter values of the descending section of the uniaxial tensile stress–strain curve;
ft,r is the tensile strength of concrete; and
εt,r is the peak tensile strain of concrete corresponding to
ft,r. The uniaxial compressive and tensile stress–strain curves of concrete are shown in
Figure 12.
Here, the bifold line model under the monotonic load [
27] was used for the steel bar, which was divided into the elastic section and strengthened section, and this could simulate the ideal elastic–plastic material with isotropic strain strengthening considered. The mechanical behavior of rebar under monotonic loading typically consists of an elastic phase and a plastic phase. The two-line model simplifies the mechanical response of rebar and can effectively describe the stiffness in the elastic phase and the hardening characteristics in the plastic phase. This model, when simulating the tensile behavior of rebar, can accurately capture the yield point and the increasing plastic deformation, while also having a low computational complexity. The expression is given by Equation (13). In the equation,
σs is the stress of the reinforcement,
Es is the elastic modulus of the reinforcement,
εs is the strain of the reinforcement,
fy is the tensile yield strength of the reinforcement,
fs,u is the ultimate strength of the reinforcement,
εy is the tensile yield strain of the reinforcement,
εs,u is the strain corresponding to the ultimate strength
fs,u, and
k is the elastic modulus of the hardening segment of the reinforcement;
k = (
fs,u −
fy)/(
εs,u −
εy). The stress–strain relationship curve is shown in
Figure 13.
The modeling method for the snap-fit mechanical connector was based on the double linear model of reinforcement. A uniaxial tensile test was conducted on reinforcement connected with mechanical connectors, resulting in the monotonic tensile stress–strain curve of the mechanically connected reinforcement. As shown in
Figure 3, the stress–strain characteristics of the mechanically connected reinforcement are similar to those of reinforcement under uniaxial tension, exhibiting distinct yield and ultimate points. Therefore, the double linear model of reinforcement can be used as a reference. The calculation expression for the snap-fit mechanical connector is the same as Equation (13), and its stress–strain curve is shown in
Figure 13.
Here, the three-fold model [
28] was used for the prestressed steel strand. This model was chosen because it better captures the nonlinear behavior of steel strands under different loading conditions, especially in terms of the transfer of initial prestress, the relaxation of the steel strands, and their interaction with the concrete, as shown in
Figure 14. The stress–strain relationship is defined by Equation (14), where
Ep1,
Ep2 and
Ep3 are the elastic stiffness in the elastic, plastic, and post-conditional yielded states. Respectively,
fp1 and
εp1 are stress and strain in the elastic state,
fp2 and
εp2 are stress and strain in the yield state, and
fp3 and
εp3 are stress and strain in the post-conditional yielded state.
4.3. Model Verification
Figure 15 presents the Mises stress contour of the reinforcement obtained from the ABAQUS simulation. The results indicate that the stress distribution patterns of the reinforcement in specimens ZK1 and ZK2 are similar, with the longitudinal reinforcement at the beam ends yielding in both cases. The maximum stresses in ZK1 and ZK2 were 478.54 MPa and 462.37 MPa, respectively, suggesting that the application of prestressing slightly reduced the stress level of the beam-end longitudinal reinforcement. Additionally, the longitudinal reinforcement at the column base also yielded, whereas the yielding range of the beam-end longitudinal reinforcement was larger and more severe. In contrast, the maximum stress of the longitudinal reinforcement at the column top and the stirrups in the core region was only 142.26 MPa, significantly lower than the yield stress, indicating that these regions remained in the elastic stage without damage. Overall, the simulated reinforcement stress distribution closely aligns with the experimental observations, verifying the accuracy and reliability of the finite element model.
The finite element simulation results indicate that the compression damage distribution in the concrete of specimens ZK1 and ZK2 is similar, primarily concentrated in the post-cast concrete sections at the beam ends and column bases. In contrast, the prefabricated concrete, due to its higher strength, exhibited less damage. In specimen ZK2, the application of prestressing introduced compressive forces, leading to a slightly larger compression damage area compared to ZK1. The damage range at the column base was smaller than that at the beam ends, while the core region and column top remained almost undamaged. Overall, the simulated failure mode aligns with the “strong column-weak beam, strong joint-weak member” design principle and closely matches the experimental observations, verifying the accuracy of the model. The compression damage distribution of the concrete is shown in
Figure 16.
In order to further verify the validity of the finite element model, the simulated skeleton curve was compared with the tested skeleton curve, as shown in
Figure 17. The simulated skeleton curves of the two frames are consistent with the skeleton curves tested. In the initial loading stage, the simulated initial stiffness of the frame is slightly larger than the tested value. The difference results from the difference between the actual test device and the loading mode defined by the simulation. In the actual test, there is an inevitable gap between the steel plate sandwiching both sides of the beam end and the specimen, and the bolts for transferring force may be slightly loosened in the loading process, resulting in a larger gap. As a result, the initial stiffness of the test is slightly less than the simulated value. When the displacement load reaches the peak load, the skeleton curve begins to decline, and the slope of the descending section of the finite element model is smaller than that of the value tested.
The comparison of the simulated and tested peak load of specimens ZK1 and ZK2 in positive and negative directions is shown in
Table 5. The deviations between the simulated and tested peak load of specimen ZK1 and ZK2 are 9.2% and 8.0%, respectively, both less than 10%, indicating good accordance.
4.4. Parametric Analysis
Based on the finite element models of specimens ZK1 and ZK2, an extended parameter analysis was conducted, primarily focusing on prestress, material properties, and reinforcement ratios. The selected parameters include effective prestress, concrete strength grade, longitudinal reinforcement ratio of beams, longitudinal reinforcement ratio of columns, and axial compression ratio, as detailed in
Table 6.
Changes in the parameters has a more pronounced impact on the skeleton curves. The analysis yielded a comparison of skeleton curves under different levels of prestress, concrete strength grades, longitudinal reinforcement ratios of beams, longitudinal reinforcement ratios of columns, and axial compression ratios, as shown in
Figure 18.
It can be seen from
Figure 18a that the trend of the skeleton curves of frames with a different prestress level is similar. When the prestress level is less than 0.6
fptk, the bearing capacity and initial stiffness of the frame increases with the increase of the prestress level. When the prestress level is greater than 0.6
fptk, the skeleton curve of the frame is almost unchanged, indicating that when the prestress level is large, the increase of the prestress has little contribution to the enhancement of the bearing capacity and stiffness of the frame. The reduction in the effectiveness of prestress beyond 0.6
fptk can be attributed to the diminishing returns associated with the prestressing force applied to the frame. As the prestress level increases, the concrete in the frame is subjected to higher initial compression, which leads to a stiffer response and an enhanced load-bearing capacity. However, after a certain threshold, the increase in prestress results in less significant improvements. This is because the concrete has already reached its optimal level of compression, and further increasing prestress mainly affects the behavior of the reinforcement rather than the concrete itself. Additionally, when the prestress level exceeds 0.6
fptk, the effect on crack control diminishes as the frame has already exhibited enhanced stiffness and capacity in the earlier stages. On a micro-mechanical level, the concrete’s compressive strength reaches a plateau as it can only carry so much additional load before reaching its ultimate stress–strain limit. Beyond this, the reinforcing bars are more effectively engaged in carrying the load, but the overall contribution to bearing capacity enhancement becomes less pronounced. The contribution of the prestressed tendons, although still beneficial, starts to saturate, and the frame’s overall performance becomes more dependent on the reinforcement ratio and the concrete’s ultimate strength. It can be concluded that proper increase of prestress level can improve the bearing capacity and initial stiffness of the frame, but the improvement is not obvious when the prestress level is large.
It can be seen from
Figure 18b that the skeleton curves of frames with different concrete strength have similar development trends. With the increase of concrete strength, the initial stiffness of the frame increases slightly and the bearing capacity increases to a certain extent, but the displacement corresponding to the peak load does not change. It can be concluded that increasing the concrete strength can improve the bearing capacity of the frame. The peak load of the C50 concrete frame is about 15% higher than that of the C30 concrete frame.
It can be seen from
Figure 18c that the development trend of the skeleton curve of the frame with a different beam reinforcement ratio is consistent. In the initial stage of displacement loading, the slope of skeleton curve increases with the increase of the reinforcement ratio, indicating that the initial stiffness of the frame increases with the increase of the beam reinforcement ratio. When the displacement gradually increases to the peak displacement, it can be found that the increase of the beam reinforcement ratio will lead to a significant increase in the peak load, but it has a little effect on the slope of the descending section. Therefore, increasing the ratio of the beam reinforcement ratio can improve the bearing capacity of the frame in a certain range, but has little effect on other seismic performance indexes.
It can be seen from
Figure 18d that the skeleton curves of the four frames with different column reinforcement ratios are consistent. In the elastic stage, the stiffness of the frame increases slightly with the increase of the column reinforcement ratio. After the frame reaches the yield displacement, the peak load of the frame increases with the increase of the column reinforcement ratio. In the later loading process, the velocity of the descending section of the skeleton curve is relatively uniform, and the slope is basically the same.
It can be seen from
Figure 18e that the development trends of the skeleton curves of specimens with different compression ratio are quite different. In terms of stiffness, with the increase of compression ratio, the early-stage stiffness of the frame increases rapidly, and the initial stiffness increases. The influence is more obvious when the compression ratio is small, but it decreases when the ratio is greater than 0.45. With the increase of the compression ratio, the decline rate of the bearing capacity accelerates obviously after the load reaches the peak value. In terms of bearing capacity, the peak load of the frame increases with the increase of the compression ratio. When the compression ratio is greater than 0.45, the peak load decreases obviously. In terms of ductility, it is obvious that the increase of the compression ratio makes the peak displacement of the frame move forward, causing the frame to yield in advance. In the later loading period, due to the rapid reduction of the bearing capacity, the ultimate displacement is greatly reduced, and the ductility of the frame is eventually reduced. It can be seen that increasing the compression ratio in a certain range can improve the initial stiffness and bearing capacity of the frame, but the decline rate of the bearing capacity in the later period will be significantly accelerated.
Based on the parametric analysis of prestress, concrete strength grade, beam longitudinal reinforcement ratio, column longitudinal reinforcement ratio, and axial compression ratio as variables, the effects on the seismic performance of the frame are summarized as follows:
The comparison of the simulated and tested Mises stress cloud map and concrete stress damage map show all specimens’ failure at the beam end. The results show that the Mises stress and concrete damage at the beam end are lower than those at the column foot, and no damage occurred in the core area and the top of the column, which is consistent with the results tested. The skeleton curve development trend and peak load extracted from the simulation results are also in good agreement with the test results, which verifies the rationality and accuracy of the finite element model established;
Increasing the effective prestress enhances the load-bearing capacity and initial stiffness of the frame; however, when the effective prestress exceeds 0.6 fptk, the improvement becomes negligible;
Changes in the concrete strength grade, longitudinal reinforcement ratio of beams, and longitudinal reinforcement ratio of columns significantly impact the frame’s skeleton curve. An increase in these parameters enhances the load-bearing capacity and initial stiffness of the frame to varying degrees;
The increase in the axial compression ratio significantly alters the trend of the skeleton curve of the frame. As the axial compression ratio increases, the load-bearing capacity and initial stiffness of the frame gradually improve. When the axial compression ratio is less than 0.45, the enhancement effect is pronounced, whereas for axial compression ratios greater than 0.45, the improvement diminishes. Additionally, an increase in the axial compression ratio causes the peak displacement of the structure to occur earlier.