1. Introduction
Prefabricated buildings offer numerous advantages, including reduced construction durations, superior project quality, and lower labor costs, thereby streamlining construction and management processes [
1,
2,
3,
4,
5,
6,
7,
8]. A critical aspect of prefabricated buildings is the beam–column connection method, which significantly influences the structural performance [
9,
10,
11]. The joints are often considered as the weakest component and are frequently the primary cause of severe structural damage. In extreme cases, such weaknesses may lead to progressive collapse [
12,
13,
14,
15,
16,
17,
18,
19,
20].
Connection techniques for prefabricated buildings can be broadly categorized into wet connections and dry connections. Wet connections involve the on-site assembly of precast components using cast-in-place methods or grouting [
21,
22,
23,
24,
25], which fail to fully leverage the advantages of precast concrete structures. In contrast, dry connections are typically achieved through bolting or welding, with bolted connections demonstrating significant potential and playing a pivotal role in advancing dry connection technologies [
26].
Aninthaneni et al. [
27] developed angle steel connections for dry-connected prefabricated frame structures. Gardner et al. [
28] designed five sets of prefabricated beams with T-shaped cross-sections and conducted quasi-static experiments and finite element analyses to investigate the bolt energy dissipation, ductility, and bending capacity at the joints. The new joints exhibited superior mechanical properties, including enhanced bending resistance, energy dissipation capacity, deformation ability, and ductility, compared to joints without bolted connections. Ertas et al. [
29] designed four types of joints, i.e., bolted connection joints, corbel welded joints, post-poured concrete connection joints, and cast-in-place concrete joints, and conducted quasi-static experiments on all four joints. Except for the corbel welded joint, all other joints exhibited sound seismic performance. Notably, the bolted connection joint demonstrated exceptional ductility, load-bearing capacity, and construction advantages. Ma et al. [
30] investigated the mechanical properties of a new dry-type high-strength bolted connection joint for prefabricated buildings. The failure mode of the new dry-type beam–column connection joint was plastic failure, characterized by a full hysteretic curve and excellent energy dissipation performance. Liu et al. [
31] proposed an insert-type beam–column joint with a steel–concrete composite system, connecting prefabricated beams and columns using bolts and embedded steel components. Static tests were conducted on seven insert-type composite joints and one cast-in-place joint. The new joint had lower initial stiffness and energy dissipation capacity but higher ultimate load-bearing capacity, which was significantly influenced by the beam cross-section. Ding et al. [
32] proposed a new semi-dry composite beam–column joint and studied its mechanical performance under cyclic loading. Finite element simulations and seismic performance tests revealed that the joint exhibited good plastic deformation ability and energy dissipation capacity. Zhang et al. [
33] tested prefabricated beam–column joints connected with ordinary long bolts. The specimens exhibited excellent overall load-bearing performance, significant joint deformation, and good ductility. Additionally, a stiffness calculation formula for semi-rigid joints was also proposed.
Furthermore, as a critical load-bearing component, precast columns require detailed force analyses. Liu et al. [
34] conducted tests on seven prefabricated cruciform section thin-concrete-encased steel (PCS-TCES) short columns. The PCS-TCES short columns exhibited excellent axial compressive strength and crack resistance. Tao et al. [
35] investigated a new type of cruciform steel–concrete column. Its axial compressive capacity was higher than that of conventional steel–concrete columns, with effective collaborative working performance observed among the steel pipes. Han et al. [
36] studied the seismic performance of nine L-shaped steel–concrete columns, exhibiting good seismic performance. An increase in seismic performance was observed when the cross-sectional dimensions of the columns and the length of the column legs were increased. Despite significant progress in optimizing connection joints and composite column systems, the critical relationship between the design of openings in the core area of precast columns and axial force transmission mechanisms has not yet been fully revealed, in particular the weakening effects on the concrete cross-section induced by bolted connection joints.
Based on the experimental research of Ma et al. [
30] on a novel concrete beam–column bolted connection joint, this study addressed the need for openings in the core area of precast columns to facilitate bolted connections between beams and columns. These openings lead to a reduction in the concrete cross-section of the column core. Since columns primarily bear vertical loads in the building, column failure can cause significant structural damage, potentially leading to the collapse of the entire building [
37]. Therefore, the current work analyzed, through experiments, theoretical approaches, and finite element simulations, the impact of the opening ratio in the joint core area on the mechanical properties of precast columns. This study aimed to refine the research content and provide theoretical support for the in-depth investigation of dry bolted connection joints.
5. Parametric Study
The influence of the opening ratio in the core area on the strength of the concrete columns was comprehensively investigated using ABAQUS simulation software. Seven types of specimens, labeled PO-0 to PO-6, were modeled with varying opening ratios. These specimens were designed based on the parameters outlined in
Section 4 and shared the same cross-sectional dimensions as the ZY14 specimens. The design parameters are summarized in
Table 7.
Figure 12 illustrates the load–displacement curves of specimens with different opening ratios. Within the elastic stage (0–1 mm displacement), the growth trends of the curves are nearly identical. Upon entering the elastoplastic stage, the load–displacement curves of the six specimen groups exhibit varying degrees of change. The peak load of the specimens varies with the opening ratio. The PO-3 specimen achieves a load capacity of 739 kN, while the load capacities of the other specimens (PO-0 to PO-2 and PO-4 to PO-6) decrease by 9.3%, 3.7%, 0.6%, 3.1%, 5.1%, and 10.8%, respectively, compared to PO-3. The data indicate that when the opening ratio is between 14% and 30%, the overall compressive load capacity of the specimens remains relatively stable. However, when the opening ratio reaches 34%, a significant reduction in load capacity can be observed. At an opening ratio of 22%, the strengthening effect of the casing in the core area is offset by the weakening effect of the opening ratio. Beyond this point, the strengthening effect of the casing diminishes, the weakening effect of the opening ratio becomes more pronounced, and the axial compressive load capacity decreases significantly at an opening ratio of 30%.
The ductility coefficients (
μ) of specimens PO-0 to PO-6 are summarized in
Table 8. The opening ratio in the core area of the compression specimens is positively correlated with the ductility coefficient. For instance, the PO-1 specimen, with an opening ratio of 14%, has a ductility coefficient of 2.35, while the PO-6 specimen, with an opening ratio of 38%, exhibits a ductility coefficient of 3.3. The ductility coefficient of the PO-6 specimen is 38% higher than that of the PO-1 specimen, further confirming the positive correlation between the ductility coefficient and the opening ratio.
5.1. Casing Thickness
The influence of the casing thickness in the core area on the compressive behavior of the concrete columns was investigated through finite element modeling using ABAQUS software. Based on the validated modeling parameters from
Section 4, five specimen groups (CT-1 to CT-5) with varying casing thicknesses were designed, maintaining the same cross-sectional dimensions as the ZY14 and ZY22 prototype columns. The key design parameters are summarized in
Table 9.
Figure 13 illustrates the load–displacement curves of specimens with varying casing thicknesses. For specimens CT-1 to CT-5, under a constant opening ratio, the load–displacement curves exhibited similar growth rates during the elastic stage, showing no sensitivity to changes in casing thickness. However, upon entering the elastoplastic stage, the curves diverged significantly. Specimen CT-1 achieved a peak load of 718.3 kN, while specimens CT-2 to CT-5 demonstrated progressive increases in peak load by 1.9%, 3.1%, 3.8%, and 3.77%, respectively, compared to CT-1. The experimental results confirmed a proportional relationship between the casing thickness and ultimate load capacity. However, when the casing thickness exceeded 2 mm (CT-4) and 2.5 mm (CT-5), the improvements in load-bearing capacity became statistically insignificant, with incremental gains of less than 0.5%.
Table 10 presents the ductility coefficients (
μ) of specimens with varying casing thicknesses. The ductility coefficients exhibit an inverse correlation with the casing thickness. Specimen CT-1 achieved the highest ductility coefficient of 2.39, while CT-5 showed a 25.5% reduction, with a ductility coefficient of 1.78. Under axial compression, increased casing thickness in the core area enhances the global load-bearing capacity but simultaneously reduces the ductility coefficients, accompanied by a decrease in overall deformation capacity (ranging from 18% to 26% across specimens).
5.2. Bolt Preload
The influence of bolt preloading in the core area on the compressive behavior of concrete columns was investigated through finite element modeling using ABAQUS software. Based on the validated modeling parameters from
Section 4, four specimen groups (PL-1 to PL-4) with varying bolt preloads were designed, maintaining the same cross-sectional dimensions as the ZY14 and ZY22 prototype columns. The key design parameters are detailed in
Table 11.
Figure 14 illustrates the load–displacement curves of specimens with varying bolt preloads. The load–displacement curves of specimens PL-1 to PL-4 exhibit similar trends during both the elastic and elastoplastic stages. Specimen PL-1 achieves a peak load of 736.9 kN, while specimens PL-2 to PL-4 demonstrate gradual increases in peak load capacity by 0.46%, 1.74%, and 2.96%, respectively, compared to PL-1. Although the load–displacement curves of the four specimens are nearly identical in shape, the peak load shows a gradual increase with higher bolt preloads.
Table 12 presents the ductility coefficients (
μ) of specimens with varying bolt preloads. The application of bolt preloads in the core region significantly influences the ductility coefficients of specimens PL-1 to PL-4. Specimen PL-1 exhibits the highest ductility coefficient of 2.32, while PL-4 shows the lowest value of 1.76, representing a 24.1% reduction compared to PL-1. Under axial compression, increasing the bolt preloads in the core region enhances the overall load-bearing capacity of the specimens. However, it also reduces the ductility coefficients, leading to smaller overall deformations.
6. Calculation of Load Capacity
A comparison between the experimental results and finite element simulations for the specimens with opening ratios of 14%, 22%, and 26% revealed that the discrepancies in bearing capacity between the experimental and simulation outcomes were relatively small for opening ratios of 14% and 22%. Additionally, the specimen with an opening ratio of 26% exhibited the highest strength. Based on these findings, it is reasonable to use both the experimental data and finite element analysis results to derive a formula for the bearing capacity of precast concrete columns with openings, specifically for opening ratios under 25%. The formulas for calculating the bearing capacity are presented in Equations (2)–(4).
where
represents the theoretically calculated bearing capacity,
is the concrete correction factor of the precast column,
refers to the compressive strength of the concrete cube according to the experimental result,
denotes the effective area of the cross-section,
represents the yield strength of the reinforcement,
is the cross-sectional area of the reinforcement,
is the cross-sectional area of the column,
represents the opening ratio, and
and
indicate the stresses at the center and edge positions of the cross-section, respectively.
To evaluate the accuracy of the newly proposed formula,
Table 13 compares the experimental bearing capacity with the theoretical bearing capacity for each specimen, including the ZY14 and ZY22 specimens. For instance, the ZY14 specimen exhibited an experimental bearing capacity of 659.67 kN and a theoretical bearing capacity of 701 kN, yielding a ratio of 0.94. Similarly, the ZY22 specimen showed an experimental bearing capacity of 716.67 kN and a theoretical bearing capacity of 734 kN, resulting in a ratio of 0.98.
The average ratio of experimental to theoretical bearing capacity across all specimens was 0.96, with a variation coefficient of only 0.03%. The proposed formula was observed to provide highly accurate predictions of the bearing capacity for precast concrete columns with openings, confirming its applicability and reliability for engineering applications. The low variation and high accuracy indicate that the formula can be confidently applied to the design and evaluation of precast concrete columns with openings, particularly for opening ratios below 25%.