Page 99 - 《爆炸与冲击》2026年第2期
P. 99
第 46 卷 彭江舟,等: 城市建筑外爆威力场与毁伤效应数智仿真模型及应用 第 2 期
[18] PFAFF T, FORTUNATO M, SANCHEZ-GONZALEZ A, et al. Learning mesh-based simulation with graph networks [C]//
International Conference on Learning Representations. Vienna: OpenReview. net, 2021. DOI: 10.48550/arXiv.2010.03409.
[19] KANG M A, PARK C H. Prediction of peak pressure by blast wave propagation between buildings using a conditional 3D
convolutional neural network [J]. IEEE Access, 2023, 11: 26114–26124. DOI: 10.1109/ACCESS.2023.3257345.
[20] PENG J Z, AUBRY N, LI Y B, et al. Physics-informed graph convolutional neural network for modeling geometry-adaptive
steady-state natural convection [J]. International Journal of Heat and Mass Transfer, 2023, 216: 124593. DOI: 10.1016/j.
ijheatmasstransfer.2023.124593.
[21] SHAO X Q, LIU Z J, ZHANG S Q, et al. PIGNN-CFD: a physics-informed graph neural network for rapid predicting urban
wind field defined on unstructured mesh [J]. Building and Environment, 2023, 232: 110056. DOI: 10.1016/j.buildenv.2023.
110056.
[22] 郝祎琛, 谢心喻, 丁家琦, 等. 瞬态多相流场图神经网络时空预测方法研究 [J]. 哈尔滨工程大学学报, 2024, 45(9):
1761–1769. DOI: 10.11990/jheu.202207004.
HAO Y C, XIE X Y, DING J Q, et al. Spatiotemporal prediction method for the transient multiphase flow field via graph
neural network [J]. Journal of Harbin Engineering University, 2024, 45(9): 1761–1769. DOI: 10.11990/jheu.202207004.
[23] LI Q L, WANG Y, CHEN W S, et al. Machine learning prediction of BLEVE loading with graph neural networks [J].
Reliability Engineering & System Safety, 2024, 241: 109639. DOI: 10.1016/j.ress.2023.109639.
[24] CULLIS I G, NIKIFORAKIS N, FRANKL P, et al. Simulating geometrically complex blast scenarios [J]. Defence
Technology, 2016, 12(2): 134–146. DOI: 10.1016/j.dt.2016.01.005.
[25] IOFFE S, SZEGEDY C. Batch normalization: accelerating deep network training by reducing internal covariate shift [C]//
Proceedings of the 32nd International Conference on International Conference on Machine Learning. Lille: JMLR. org, 2015:
448–456. DOI: 10.48550/arXiv.1502.03167.
[26] LI T Y, ZOU S F, CHANG X H, et al. Predicting unsteady incompressible fluid dynamics with finite volume informed neural
network [J]. Physics of Fluids, 2024, 36(4): 043601. DOI: 10.1063/5.0197425.
[27] FEY M, LENSSEN J E. Fast graph representation learning with PyTorch geometric [EB/OL]. arXiv: 1903.02428, 2019.
[2024-12-02]. https://arxiv.org/abs/1903.02428. DOI: 10.48550/arXiv.1903.02428.
[28] CHANG D T. Tiered graph autoencoders with PyTorch geometric for molecular graphs [EB/OL]. arXiv: 1908.08612, 2019.
[2024-12-02]. https://arxiv.org/abs/1908.08612. DOI: 10.48550/arXiv.1908.08612.
[29] LI S, ZHAO Y L, VARMA R, et al. PyTorch distributed: experiences on accelerating data parallel training [J]. Proceedings of
the VLDB Endowment, 2020, 13(12): 3005–3018. DOI: 10.14778/3415478.3415530.
[30] 姚成宝, 王宏亮, 浦锡锋, 等. 空中强爆炸冲击波地面反射规律数值模拟研究 [J]. 爆炸与冲击, 2019, 39(11): 112201. DOI:
10.11883/bzycj-2018-0287.
YAO C B, WANG H L, PU X F, et al. Numerical simulation of intense blast wave reflected on rigid ground [J]. Explosion and
Shock Waves, 2019, 39(11): 112201. DOI: 10.11883/bzycj-2018-0287.
[31] FEJES P, HORKAI A. Creating city models in ArchiCAD software environment [J]. The International Journal of Engineering
and Science, 2021, 10(1): 11–17. DOI: 10.9790/1813-1001011117.
[32] 阎石, 刘蕾, 齐宝欣, 等. 爆炸荷载作用下方钢管混凝土柱的动力响应及破坏机理 [J]. 防灾减灾工程学报, 2011, 31(5):
477–482. DOI: 10.3969/j.issn.1672-2132.2011.05.002.
YAN S, LIU L, QI B X, et al. Dynamic response and failure mode analysis of concrete infilled rectangular steel tube columns
under blasting loading [J]. Journal of Disaster Prevention and Mitigation Engineering, 2011, 31(5): 477–482. DOI: 10.3969/
j.issn.1672-2132.2011.05.002.
[33] 焦燏烽, 赵果, 侯延利. 框架柱在爆炸冲击荷载作用下动力系数及破坏模式研究 [J]. 建筑科学, 2015, 31(9): 32–37. DOI:
10.13614/j.cnki.11-1962/tu.2015.09.006.
JIAO Y F, ZHAO G, HOU Y L. Dynamic factor and failure modes research of the frame column under blast pressure [J].
Building Science, 2015, 31(9): 32–37. DOI: 10.13614/j.cnki.11-1962/tu.2015.09.006.
[34] PRUGH R W. The effects of explosive blast on structures and personnel [J]. Process Safety Progress, 1999, 18(1): 5–16. DOI:
10.1002/prs.680180104.
(责任编辑 王小飞)
022202-16

