Dynamic Response and Computational Modeling of Truss-Reinforced Phosphogypsum-Concrete Composite Slabs Subjected to Impact Loading: A Parametric Finite Element Analysis
Abstract
1. Introduction
2. Test Overview
2.1. Material Properties
2.2. Test Piece Design and Fabrication
2.3. Loading Program Design
2.4. Design of the Experimental Observation Program
3. Test Results and Analysis
3.1. Failure Pattern of PGC Unidirectional Floor of Steel Truss
3.2. Impact Force Time Course Curve
3.3. Displacement Time History Curve
3.4. Analysis of Floor Residual Energy Absorption Capacity
4. Numerical Simulation
4.1. Basic Assumptions of Numerical Simulation
4.2. Establishment of Finite Element Model
4.3. Comparison of Results
4.4. The Impact of Aspect Ratio on Impact Force
5. Conclusions
- (1)
- Under low-velocity impact, steel-truss-reinforced PGC slabs predominantly exhibited flexural failure mechanisms. Continuous longitudinal cracks propagating from the impact epicenter to slab peripheries were observed in the tensile zone, demonstrating characteristic through-thickness fracture patterns. For equivalent PG dosage, 120 mm-thick specimens demonstrated localized concrete spalling at the impact zone while maintaining structural integrity. This cohesive fracture morphology with controlled crack propagation (width < 0.3 mm) achieved complete energy dissipation, validating that increased slab thickness and steel plate integration effectively constrain crack initiation (35% reduction) and width development (42% decrease), thereby enhancing crack resistance and minimizing impact-induced damage.
- (2)
- Progressive PG dosage escalation (0–2%) under constant impact height revealed congruent mid-span displacement time-history profiles. Notably, both maximum and residual mid-span displacements exhibited 2 mm increments. PG-modified concrete demonstrated enhanced free-water viscous effects, augmenting structural compactness, energy dissipation capacity, and ductility. This modification preserved deformation resistance parity with conventional concrete, while concurrently reducing environmental contamination potential from PG utilization.
- (3)
- Under identical total impact energy conditions, the mid-span displacement of the slab subjected to a single impact load is reduced, and the ejection of concrete debris from the slab’s top surface is minimal. This suggests that multiple impacts pose a greater risk compared to a single impact of equivalent total energy.
- (4)
- Variations in PG content (0–2%) exhibited statistical invariance in both secondary impact force peaks and temporal characteristics under identical impact energy conditions, demonstrating statistically insignificant influence (p > 0.05) within the studied parameter space.
- (5)
- The ABAQUS finite element analysis (FEA) platform was employed to simulate impact scenarios, yielding time-history responses of impact forces and displacements that exhibited strong correlation (R2 ≥ 0.92) with experimental data, with discrepancies confined within 10%. This validation confirms the model’s predictive capability in capturing critical impact mechanics parameters.
- (6)
- Experimental results demonstrate that the incorporation of 2% PG composite admixture enables efficient utilization of industrial solid waste (8.5 tons per 100 m3 of concrete) while maintaining compliance with mechanical performance criteria (compressive strength and durability). This formulation provides a feasible solution for environmentally sound disposal of industrial by-products. Through synergistic optimization of the waste-cementitious matrix system, the design achieves balanced functional performance and ecological benefits, aligning with the sustainable development objectives of green concrete technology.
- (7)
- Numerical analysis of drop hammer geometry effects on rockfall impact loading reveals three critical parametric relationships: (1) impact load magnitude demonstrates inverse proportionality to contact width; (2) impactor thickness exhibits negative correlation with peak contact force; (3) decreasing width-to-height ratio induces accelerated growth in impact intensity, following an inverse proportional function with progressive rate enhancement. These findings provide quantitative references for post-impact structural monitoring system optimization and targeted reinforcement strategy formulation, thereby improving operational precision in disaster-affected infrastructure maintenance.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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PG Dosage | Dissociation | Clinker | Coal Ash | Mineral Powder | PG | Crushed or Broken Rock | Alumina | Water Reducing Agent | Water |
---|---|---|---|---|---|---|---|---|---|
0% | C35 | 235.39 | 33.63 | 67.25 | 0.0 | 1114.43 | 774.74 | 4.04 | 157.03 |
2% | C35 | 230.68 | 33.63 | 67.25 | 4.71 | 1114.43 | 774.74 | 4.04 | 157.03 |
Group | Test Block Size | PG Blending Ratio | Production Quantity |
---|---|---|---|
AC | 150 mm × 150 mm × 150 mm | 0% | 6 |
A1 | 150 mm × 150 mm × 150 mm | 2% | 6 |
B0 | 150 mm × 150 mm × 300 mm | 0% | 4 |
B1 | 150 mm × 150 mm × 300 mm | 2% | 4 |
Specimen Number | Grade of Concrete | Plate Size L*b*h (mm) | Bottom Plate or Not | PG Content | Loading Mode |
---|---|---|---|---|---|
A1-1 | C40 | 2200 × 600 × 120 | yes | 2% | Repeatedlly |
A1-2 | C40 | 2200 × 600 × 120 | yes | 2% | Single |
A1-3 | C40 | 2200 × 600 × 120 | no | 2% | Single |
A2-2 | C40 | 2200 × 600 × 100 | yes | 2% | Single |
B0-2 | C40 | 2200 × 600 × 120 | yes | 0% | Single |
Specimen Number | PG Dosage | Weight of a Hammer/kg | Impact Height/m | Impact Energy/J |
---|---|---|---|---|
A1-1 | 2% | 239 | 1 | 2323 |
1.25 | 2903 | |||
1.5 | 3484 | |||
A1-2 | 2% | 239 | 3.75 | 8198 |
A1-3 | 2% | 239 | 3.75 | 8198 |
A2-2 | 2% | 239 | 3.75 | 8198 |
B0-2 | 0% | 239 | 3.75 | 8198 |
Specimen Number | Impact Maximum (kN) | Second Peak of Impact (kN) | Ratio of Second Peak to Maximum Impact Force |
---|---|---|---|
A1-1-1 | 447 | 65 | 15% |
A1-1-2 | 553 | 99 | 18% |
A1-1-3 | 636 | 206 | 32% |
A1-2 | 1476 | 217 | 15% |
A1-3 | 1302 | 205 | 15% |
A2-2 | 1195 | 165 | 14% |
B0-2 | 1534 | 257 | 17% |
Parameters | Plain Concrete | PG Concrete | Steel Reinforcing Bar | Plate | Hammer Head |
---|---|---|---|---|---|
Poisson’s ratio | 0.19 | 0.19 | 0.3 | 0.3 | 0.3 |
Densities (kg/m3) | 2500 | 2500 | 7850 | 7850 | 7850 |
Modulus of elasticity (GPa) | 32.7 | 32.6 | 210 | 210 | 210 |
yield strength (MPa) | — | — | 425.08 (8 mm) 427.15 (10 mm) | 400 | 1000 |
Specimen Number | ||||||
---|---|---|---|---|---|---|
A1-2 | 1450 | 1548 | 6.8 | 37 | 40 | 8.1 |
A2-2 | 1195 | 1288 | 7.8 | 39 | 40 | 2.6 |
B0-2 | 1533 | 1643 | 7.2 | 34 | 37 | 8.8 |
Serial Number | c | Impact Force/kN |
---|---|---|
1 | 0.2 | 1549.4 |
2 | 0.4 | 1089.7 |
3 | 0.6 | 781.1 |
4 | 0.8 | 663.5 |
5 | 1 | 584.1 |
6 | 1.2 | 532.1 |
7 | 1.4 | 479.2 |
8 | 1.6 | 455.7 |
9 | 1.8 | 453.7 |
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Sha, L.; Han, Y.; Zhang, L. Dynamic Response and Computational Modeling of Truss-Reinforced Phosphogypsum-Concrete Composite Slabs Subjected to Impact Loading: A Parametric Finite Element Analysis. Buildings 2025, 15, 1948. https://doi.org/10.3390/buildings15111948
Sha L, Han Y, Zhang L. Dynamic Response and Computational Modeling of Truss-Reinforced Phosphogypsum-Concrete Composite Slabs Subjected to Impact Loading: A Parametric Finite Element Analysis. Buildings. 2025; 15(11):1948. https://doi.org/10.3390/buildings15111948
Chicago/Turabian StyleSha, Lirong, Yan Han, and Lijie Zhang. 2025. "Dynamic Response and Computational Modeling of Truss-Reinforced Phosphogypsum-Concrete Composite Slabs Subjected to Impact Loading: A Parametric Finite Element Analysis" Buildings 15, no. 11: 1948. https://doi.org/10.3390/buildings15111948
APA StyleSha, L., Han, Y., & Zhang, L. (2025). Dynamic Response and Computational Modeling of Truss-Reinforced Phosphogypsum-Concrete Composite Slabs Subjected to Impact Loading: A Parametric Finite Element Analysis. Buildings, 15(11), 1948. https://doi.org/10.3390/buildings15111948