Page 109 - 《爆炸与冲击》2026年第8期

第 46 卷 李 志，等： 考虑参数不确定性的水下爆炸冲击波荷载Bayesian建模与表征 第 8 期

[42] GANGOLU J, KISHORE K B, SHARMA H. Probabilistic demand models and reliability based code calibration for
reinforced concrete column and beam subjected to blast loading [J]. Reliability Engineering and System Safety, 2023, 240:
109577. DOI: 10.1016/J.RESS.2023.109577.
[43] ROY T, MATSAGAR V. Probabilistic framework for failure investigation of reinforced concrete wall panel under dynamic
blast loads [J]. Engineering Failure Analysis, 2021, 125: 105368. DOI: 10.1016/J.ENGFAILANAL.2021.105368.
[44] BHUYAN K, SHARMA H. Reliability analysis & performance-based code calibration for slabs/walls of protective structures
subject to air blast loading [J]. Reliability Engineering & System Safety, 2022, 228: 108751. DOI: 10.1016/J.RESS.2022.
108751.
[45] NOROUZI Y, GHASEMI S H. Probabilistic damage hazard analysis framework for crack detection by integrating Bayesian
inference [J]. Engineering Structures, 2025, 331: 119939. DOI: 10.1016/J.ENGSTRUCT.2025.119939.
[46] WANG J F, WAN K Y, WANG Y T, et al. Complex boundary identification based on Bayesian inference and tension force
uncertainty prediction [J]. Structures, 2025, 71: 108008. DOI: 10.1016/J.ISTRUC.2024.108008.
[47] YANG F Y, LI M H, SU X Y, et al. Scaled boundary finite element model-based Bayesian updating for subseabed shield
tunnels utilizing distributed strain data [J]. Ocean Engineering, 2025, 323: 120524. DOI: 10.1016/J.OCEANENG.2025.
120524.
[48] FERREIRA L, YANO M O, SOUZA L, et al. Transfer learning and Bayesian calibration addressing data scarcity and
uncertainty for structural health monitoring of twin concrete bridges [J]. Mechanical Systems and Signal Processing, 2025,
235: 112845. DOI: 10.1016/J.YMSSP.2025.112845.
[49] GUPTA R, BOURRIER F, LAMBERT S. Bayesian inference based inverse analysis of the impact response of a rockfall
protection structure: application towards warning and survey [J]. Engineering Structures, 2024, 321: 118800. DOI: 10.1016/J.
ENGSTRUCT.2024.118800.
[50] REZAIE S, KHALIGHI M, MIRZAEI Z, et al. Probabilistic assessment of seismic resilience for corroded RC-structures using
Bayesian inference and maximum likelihood estimation [J]. Structures, 2025, 74: 108586. DOI: 10.1016/J.ISTRUC.2025.
108586.
[51] HENRIQUES I R, ROULEAU L, CASTELLO D A, et al. Bayesian calibration of constitutive models for polymeric foams [J].
Composite Structures, 2024, 341: 118231. DOI: 10.1016/J.COMPSTRUCT.2024.118231.
[52] MEDINA C D, RUIZ R O, HERRERA R A, et al. Uncertainty quantification in mechanical properties for Cu-based SMA
wires and strands based on Bayesian inference [J]. Engineering Structures, 2024, 318: 118708. DOI: 10.1016/J.ENGSTRUCT.
2024.118708.
[53] CHOI H, LIM H J, HA D, et al. Multiscale stochastic fatigue analysis of CFRP laminate composites with Bayesian calibration-
based characterization method [J]. Composite Structures, 2025, 363: 119139. DOI: 10.1016/J.COMPSTRUCT.2025.119139.
[54] CHENG Y F, MENG X, FENG C, et al. The effect of the hydrogen containing material TiH 2 on the detonation characteristics
of emulsion explosives [J]. Propellants, Explosives, Pyrotechnics, 2017, 42(6): 585–591. DOI: 10.1002/prep.201700045.
[55] SWISDAK JR M M. Explosion effects and properties: part Ⅱ. explosion effects in water: NSWC/WOL TR 76-116 [R]. Silver
Spring: Naval Surface Weapons Center, 1978.
[56] JIA X Y, WANG S S, XU J, et al. Nonlinear characteristics and corrections of near-field underwater explosion shock
waves [J]. Physics of Fluids, 2022, 34(4): 046108. DOI: 10.1063/5.0087939.
[57] MING F R, SUN P N, ZHANG A M. Investigation on charge parameters of underwater contact explosion based on
axisymmetric SPH method [J]. Applied Mathematics and Mechanics, 2014, 35(4): 453–468. DOI: 10.1007/s10483-014-
1804-6.
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