Page 166 - 《爆炸与冲击》2026年第5期

第 46 卷 潘刘娟，等： 图学习驱动的爆炸冲击钢筋混凝土柱结构响应的建模与预测 第 5 期

[6] UNNO K, MIKAMI A, SHIMIZU M. Damage detection of truss structures by applying machine learning algorithms [J].
International Journal of GEOMATE, 2019, 16(54): 62–67. DOI: 10.21660/2019.54.4840.
[7] BANG H, LEE T H, LEE G C, et al. Strain-based fault detection of bolted truss structures using machine learning [J].
Advances in Mechanical Engineering, 2020, 12(11): 1–8. DOI: 10.1177/1687814020971890.
[8] MAI H T, KANG J, LEE J. A machine learning-based surrogate model for optimization of truss structures with geometrically
nonlinear behavior [J]. Finite Elements in Analysis and Design, 2021, 196: 103572. DOI: 10.1016/j.finel.2021.103572.
[9] ALMUSTAFA M K, NEHDI M L. Machine learning model for predicting structural response of RC columns subjected to
blast loading [J]. International Journal of Impact Engineering, 2022, 162: 104145. DOI: 10.1016/j.ijimpeng.2021.104145.
[10] ALMUSTAFA M K, NEHDI M L. Novel hybrid machine learning approach for predicting structural response of RC beams
under blast loading [J]. Structures, 2022, 39: 1092–1106. DOI: 10.1016/j.istruc.2022.04.007.
[11] ALMUSTAFA M K, NEHDI M L. Machine learning prediction of structural response of steel fiber-reinforced concrete beams
subjected to far-field blast loading [J]. Cement and Concrete Composites, 2022, 126: 104378. DOI: 10.1016/j.cemconcomp.
2021.104378.
[12] ALMUSTAFA M K, NEHDI M L. Machine learning prediction of structural response for FRP retrofitted RC slabs subjected
to blast loading [J]. Engineering Structures, 2021, 244: 112752. DOI: 10.1016/j.engstruct.2021.112752.
[13] ALMUSTAFA M K, BALOMENOS G P, NEHDI M L. Data-driven reliability framework for qualitative damage states of
reinforced concrete beams under blast loading [J]. Engineering Structures, 2023, 294: 116803. DOI: 10.1016/j.engstruct.
2023.116803.
[14] ZHOU X Q, HUANG B G, WANG X Y, et al. Deep learning-based rapid damage assessment of RC columns under blast
loading [J]. Engineering Structures, 2022, 271: 114949. DOI: 10.1016/j.engstruct.2022.114949.
[15] ABD-ELHAMED A, ALKHATIB S, ABDELFATTAH A M H. Prediction of blast-induced structural response and associated
damage using machine learning [J]. Buildings, 2022, 12(12): 2093. DOI: 10.3390/buildings12122093.
[16] TRAN P L, TRAN V L, KIM J K. Mid-span displacement and damage degree predictions of RC beams under blast loading
using machine learning-based models [J]. Structures, 2024, 65: 106702. DOI: 10.1016/j.istruc.2024.106702.
[17] AHMED B, PARK T, JEON J S. Blast response and damage assessment of reinforced concrete slabs using convolutional
neural networks [J]. International Journal of Damage Mechanics, 2025, 34(5): 771–797. DOI: 10.1177/10567895231204640.
[18] LUBLINER J, OLIVER J, OLLER S, et al. A plastic-damage model for concrete [J]. International Journal of solids and
structures, 1989, 25(3): 299–326. DOI: 10.1016/0020-7683(89)90050-4.
[19] LEE J, FENVES G L. Plastic-damage model for cyclic loading of concrete structures [J]. Journal of Engineering Mechanics,
1998, 124(8): 892–900. DOI: 10.1061/(ASCE)0733-9399(1998)124:8(892).
[20] HILLERBORG A, MODÉER M, PETERSSON P E. Analysis of crack formation and crack growth in concrete by means of
fracture mechanics and finite elements [J]. Cement and Concrete Research, 1976, 6(6): 773–781. DOI: 10.1016/0008-8846
(76)90007-7.
[21] 武伟超, 夏柳, 潘艾刚, 等. 多点同时爆炸对钢筋混凝土方柱构件的毁伤特性 [J]. 爆炸与冲击, 2023, 43(12): 125101. DOI:
10.11883/bzycj-2023-0025.
WU W C, XIA L, PAN A G, et al. Damage characteristics of reinforced concrete square column components under multi-point
simultaneous initiating [J]. Explosion and Shock Waves, 2023, 43(12): 125101. DOI: 10.11883/bzycj-2023-0025.
[22] WU Z H, PAN S R, CHEN F W, et al. A comprehensive survey on graph neural networks [J]. IEEE Transactions on Neural
Networks and Learning Systems, 2021, 32(1): 4–24. DOI: 10.1109/TNNLS.2020.2978386.
[23] SUJON K M, HASSAN R B, TOWSHI Z T, et al. When to use standardization and normalization: empirical evidence from
machine learning models and XAI [J]. IEEE Access, 2024, 12: 135300–135314. DOI: 10.1109/ACCESS.2024.3462434.
[24] GAL M S, RUBINFELD D L. Data standardization [J]. New York University Law Review, 2019, 94: 737–770. DOI:
10.1007/springerreference_64724.
[25] NGOC T T, VAN DAI L, MINH L B. Effects of data standardization on hyperparameter optimization with the grid search
algorithm based on deep learning: a case study of electric load forecasting [J]. Advances in Technology Innovation, 2022,
7(4): 258–269. DOI: 10.46604/aiti.2022.9227.
[26] KINGMA D P, BA J. Adam: a method for stochastic optimization [C]//Proceedings of the 3rd International Conference on
Learning Representations. San Diego: ICLR, 2015: 1–15.
(责任编辑 王影)

051435-15