A decomposed Karhunen–Loève expansion scheme for the discretization of multidimensional random fields in geotechnical variability analysis

Zhu, Bin; Hiraishi, Tetsuya

doi:10.1007/s00477-023-02625-8

Stoch Environ Res Risk Assess

2023

DOI: 10.1007/s00477-023-02625-8

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A decomposed Karhunen–Loève expansion scheme for the discretization of multidimensional random fields in geotechnical variability analysis

Bin Zhu,

Tetsuya Hiraishi

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Cited by 6 publications

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A decomposed Karhunen–Loève expansion scheme for the discretization of multidimensional random fields in geotechnical variability analysis

Cited by 6 publications

References 75 publications

Response surface method-based efficient approach for the load and resistance factors calibration of breakwater foundation considering soil spatial variability

Response surface method-based efficient approach for the load and resistance factors calibration of breakwater foundation considering soil spatial variability

Investigation on wave-induced responses of heterogeneous seabed around a buried pipeline based on nonstationary random field model

Probabilistic assessment of 3D slope failures in spatially variable soils by cooperative stochastic material point method

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