This study addresses the need for in-situ observation of internal damage evolution in reinforced concrete materials under loading. To this end, a high energy X-CT instrument was developed with a novel scanning mechanism, differing from conventional CT instruments. To ensure dynamic stability under complex operating conditions, the vibration characteristics of the mechanical system were investigated using finite element analysis and validated through experimental modal analysis. The results demonstrate clear relationships between the rotating platform’s position and its structural dynamic behavior. These findings provide a theoretical basis and design reference for structural optimization and vibration control of complex equipment. Moreover, the developed high energy X-CT instrument offers a new experimental platform for revealing the microcracking behavior of reinforced concrete and the constitutive relationship of interface slippage under loading.
AvciOAlkhamisKAbdeljaberO, et al. (2022) Operational modal analysis and finite element model updating of a 230 m tall tower. Structures37: 154–167.
2.
BaldoCRProbstGMDewulfW (2020) Performance evaluation of an image-based measurement method used to determine the geometric errors of cone-beam CT instruments. Advances in Industrial and Manufacturing Engineering1: 100004.
3.
CalayırYYetkinMErkekH (2021) Finite element model updating of masonry minarets by using operational modal analysis method. Structures34: 3501–3507.
4.
ChenG-WChenXOmenzetterP (2024) Hybrid vibration testing for bridge modal system identification. Procedia Structural Integrity64: 724–731.
5.
ChenYZhouY (2025) Study on the corrosion patterns of rebar in concrete based on CT detection technology. Construction and Building Materials467: 140333.
6.
DimriAChakrabortyS (2024) Damage identification of reinforced concrete slabs using experimental modal testing and finite element model updating. Structures67: 107023.
7.
DongBZhaoRYuK (2024) Nonlinear combined harmonic resonances of composite cylindrical shells operating in hygro-thermo-electro-magneto-mechanical fields. Composite Structures331: 117877.
8.
FengW-HWuC-YFuJ-Y, et al. (2023) Automatic modal identification via eigensystem realization algorithm with improved stabilization diagram technique. Engineering Structures291: 116449.
9.
KhatirSDekemeleKLoccufierM, et al. (2018) Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization. Comptes Rendus Mécanique346(2): 110–120.
10.
LaineSHaikonenSTiainenT, et al. (2024) Rotor resonance avoidance by continuous adjustment of support stiffness. International Journal of Mechanical Sciences270: 109092.
11.
LiY-ZFangS-E (2025) A modified blind source separation algorithm for underdetermined structural modal analysis. Engineering Structures325: 119452.
12.
LiH-W-XSteinDLChelidzeD (2025) Characteristic value decomposition: a unifying paradigm for data-driven modal analysis. Mechanical Systems and Signal Processing222: 111769.
13.
LiuGCongJWangP, et al. (2022) Study on vertical vibration and transmission characteristics of railway ballast using impact hammer test. Construction and Building Materials316: 125898.
14.
MohammadiMNazemosadatSMRFazelD, et al. (2025) An integrated approach for structural modeling, modal analysis, and aerodynamic evaluation of an electric vehicle body shell using finite element method and computational fluid dynamics. Materials Today Communications45: 112331.
15.
NitkaMTejchmanJ (2024) Mesoscopic simulations of a fracture process in reinforced concrete beam in bending using a 2D coupled DEM/micro-CT approach. Engineering Fracture Mechanics304: 110153.
16.
PhamM-NChampliaudHLiuZ, et al. (2022) Parameterized finite element modeling and experimental modal testing for vibration analysis of an industrial hexapod for machining. Mechanism and Machine Theory167: 104502.
17.
SaidinSSJamadinAKudusSA, et al. (2022a) An overview: the application of vibration-based techniques in bridge structural health monitoring. International Journal Of Concrete Structures And Materials16(1): 69.
18.
SaidinSSKudusSAJamadinA, et al. (2022b) Operational modal analysis and finite element model updating of ultra-high-performance concrete bridge based on ambient vibration test. Case Studies in Construction Materials16: e01117.
19.
SancibrianRLombilloISanchezR, et al. (2024) Assessment of the structural integrity of glulam using modal analysis and finite element updating. Procedia Structural Integrity64: 238–245.
20.
ÚradníčekJMusilMGašparovičĽ, et al. (2025) Enhancing reliability in estimating modal parameters for automotive disk Brakes: a comprehensive approach using the Eigensystem Realization algorithm and additional criteria. Mechanical Systems and Signal Processing224: 112069.
21.
WangXHuSWangE (2024) Study of BP and RBF neural networks applied to the prediction of vibration characteristics in static blasting of dry ice powder. KSCE Journal of Civil Engineering28(4): 1452–1460.
22.
WangCYuanJZhangY, et al. (2025) Advanced in-situ 4D CT reconstruction for exploring fiber distribution effects on the mechanical behaviors and interface optimization of carbonated high-toughness recycled aggregate concrete. Construction and Building Materials473: 140941.
23.
YangCXuXWangX, et al. (2025) Interval-oriented eigensystem realization algorithm and its modification for structural modal parameter identification with bounded uncertainties. Journal of Sound and Vibration601: 118929.
24.
YuGLouYDongH, et al. (2023) A multilevel hierarchical parallel algorithm for large-scale finite element modal analysis. Computers, Materials and Continua76(3): 2795–2816.
25.
ZenzenRBelaidiIKhatirS, et al. (2018) A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm. Comptes Rendus Mécanique346(12): 1253–1266.
26.
ZhangCLaiS-XWangH-P (2024) Structural modal parameter recognition and related damage identification methods under environmental excitations: a review. SDHM Structural Durability and Health Monitoring19(1): 25–54.
