Determining inherent deformations of HSLA steel T-joint under structural constraint by means of thermal elastic plastic FEM
Sign Up to like & getrecommendations! Published in 2020 at "Thin-walled Structures"
DOI: 10.1016/j.tws.2019.106568
Abstract: Abstract The inherent strain method is a powerful and efficient tool to simulate welding deformation, so it recently becomes the mainstream way to estimate the total welding distortion of large complex welded structures. When using… read more here.
Keywords: joint structural; welding deformation; inherent deformations; structural constraint ... See more keywords
Joint Inversion of Multiphysical Parameters Based on a Combination of Cosine Dot-Gradient and Joint Total Variation Constraints
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3071498
Abstract: The joint inversion of structural constraints is a new and rapidly developing detection technology in comprehensive geophysical interpretation. In this article, a new structural constraint 2-D multiphysical parameter joint inversion algorithm for magnetotelluric (MT), gravity,… read more here.
Keywords: inversion; joint inversion; structural constraint; gradient ... See more keywords
Incorporating structural constraint into the machine learning high-resolution seismic reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3157064
Abstract: Seismic high-resolution (HR) reconstruction is a crucial process for identifying increasingly thin layers from observed seismic data. Nowadays, machine learning (ML) has been adopted in seismic resolution improvement; however, most of the ML-based methods directly… read more here.
Keywords: machine learning; seismic reconstruction; structural constraint; high resolution ... See more keywords