Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Haoding Xu"'
Publikováno v:
Natural Hazards Research, Vol 4, Iss 1, Pp 148-168 (2024)
Shallow tunnels in urban areas are close to adjacent buildings and municipal pipelines. Ground surface settlement (GSS) due to tunnelling can cause damage to those infrastructures surrounded. Many methods have been proposed for evaluating ground sett
Externí odkaz:
https://doaj.org/article/40348d7a64864b3d8eda12f7f25b9234
Publikováno v:
Eng, Vol 5, Iss 1, Pp 217-245 (2024)
At the initial phases of tunnel design, information on rock properties is often limited. In such instances, the engineering classification of the rock is recommended as a primary assessment of its geotechnical condition. This paper reviews different
Externí odkaz:
https://doaj.org/article/96065487518446938f419ca2f10765de
Publikováno v:
Modelling, Vol 4, Iss 4, Pp 426-453 (2023)
In traditional slope stability analysis, it is assumed that some “average” or appropriately “conservative” properties operate over the entire region of interest. This kind of deterministic conservative analysis often results in higher costs,
Externí odkaz:
https://doaj.org/article/b007a36d34f443068f2753c610b410e6
Publikováno v:
Eng, Vol 4, Iss 2, Pp 1516-1535 (2023)
Tunnel Boring Machines (TBMs) have become prevalent in tunnel construction due to their high efficiency and reliability. The proliferation of data obtained from site investigations and data acquisition systems provides an opportunity for the applicat
Externí odkaz:
https://doaj.org/article/c19ae343e36148ca8feee39c2ed341ea
Publikováno v:
Soils and Foundations, Vol 63, Iss 3, Pp 101321- (2023)
This paper presents a pre-trained deep-learning surrogate model for the slope stability problem, which can be used to accelerate the stochastic analysis of slope stability with spatial variability. One major innovation is that the model is trained wi
Externí odkaz:
https://doaj.org/article/38106c99de4142b0b182abb878bcee41
Publikováno v:
Mathematics, Vol 11, Iss 16, p 3493 (2023)
In landslide risk management, it is important to estimate the run-out distance of landslides (or debris flows) such that the consequences can be estimated. This research presents an innovative array of dimensionless equations that effectively estimat
Externí odkaz:
https://doaj.org/article/baba99c6a4c44c0f92c80a67fa334e03
Publikováno v:
Mathematics, Vol 10, Iss 23, p 4426 (2022)
Rainfall-induced landslides represent a severe hazard around the world due to their sudden occurrence, as well as their widespread influence and runout distance. Considering the spatial variability of soil, stochastic analysis is often conducted to g
Externí odkaz:
https://doaj.org/article/d56f632303fd4396ac30331c759543a8
Publikováno v:
Acta Geotechnica. 18:1681-1698
Data-driven intelligent surrogate models gain popularity recently. Particularly in Monte-Carlo-style stochastic analysis, the influencing factors are considered as inputs, the quantities of interest are considered as outputs, and cheaper-to-evaluate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34875ae7a914baaaf010d051877ca7cf
https://doi.org/10.1007/s11440-022-01706-2
https://doi.org/10.1007/s11440-022-01706-2
Publikováno v:
Computers and Geotechnics. 128:103818
This study presents an improved VOF-DEM model where the Darcian velocity and a compound variable are treated as unknowns in the pressure-velocity calculation procedure such that the use of interpolated porosity at cell faces is minimised and stabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::979d13455764997a66e0b5ac88019663
https://doi.org/10.1016/j.compgeo.2020.103818
https://doi.org/10.1016/j.compgeo.2020.103818
Publikováno v:
B66. FIBROBLAST MATRIX, CYTOSKELETON, AND MIGRATION.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b11d98435981353edd23056e0628c15
https://doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a3569
https://doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a3569