Physics-Informed Neural Networks for Settlement Analysis of the Immersed Tunnel of the Hong Kong–Zhuhai–Macau Bridge

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

International Journal of Geomechanics Pub Date : 2024-01-01 DOI:10.1061/ijgnai.gmeng-8689

Shu-Yu He, Wan-Huan Zhou, Cong Tang

引用次数: 0

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用于港珠澳大桥沉管隧道沉降分析的物理信息神经网络

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来源期刊

International Journal of Geomechanics ENGINEERING, GEOLOGICAL-

CiteScore

6.40

自引率

13.50%

发文量

374

期刊介绍： The International Journal of Geomechanics (IJOG) focuses on geomechanics with emphasis on theoretical aspects, including computational and analytical methods and related validations. Applications of interdisciplinary topics such as geotechnical and geoenvironmental engineering, mining and geological engineering, rock and blasting engineering, underground structures, infrastructure and pavement engineering, petroleum engineering, engineering geophysics, offshore and marine geotechnology, geothermal energy, lunar and planetary engineering, and ice mechanics fall within the scope of the journal. Specific topics covered include numerical and analytical methods; constitutive modeling including elasticity, plasticity, creep, localization, fracture and instabilities; neural networks, expert systems, optimization and reliability; statics and dynamics of interacting structures and foundations; liquid and gas flow through geologic media, contaminant transport and groundwater problems; borehole stability, geohazards such as earthquakes, landslides and subsidence; soil/rock improvement; and the development of model validations using laboratory and field measurements.