Zobrazeno 1 - 10
of 3 104
pro vyhledávání: '"back analysis"'
Publikováno v:
Rekayasa Sipil, Vol 18, Iss 3, Pp 195-201 (2024)
The construction process of the Tilong Dam induced significant settlement in the surrounding areas. This study aimed to enhance our understanding of the factors that influenced settlement behavior and improve the reliability of predictive models by u
Externí odkaz:
https://doaj.org/article/2bc9933cd6814d838d0ecc1c8055bbe1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract This study investigates the prediction of ground loss rate during soft-soil shield tunneling using Peck’s back analysis method and XGBoost model. Bayesian optimization is employed to determine optimal hyperparameters, ensuring comprehensiv
Externí odkaz:
https://doaj.org/article/d13708b4dd684afe9916e3a1e076bb17
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 9, Pp 3575-3594 (2024)
Probabilistic back-analysis is an important means to infer the statistics of uncertain soil parameters, making the slope reliability assessment closer to the engineering reality. However, multi-source information (including test data, monitored data,
Externí odkaz:
https://doaj.org/article/ef3ffa3fcad544a7923a324ceb1eff6c
Publikováno v:
Записки Горного института, Vol 268, Pp 576-587 (2024)
Slope failures in mining engineering pose significant risks to slope stability control, necessitating a thorough investigation into their root causes. This paper focuses on a back analysis of a slope failure in the Zerga section of the Ouenza – Alg
Externí odkaz:
https://doaj.org/article/42b2c7c084554eda92a8a9bf95aa0846
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract The study of progressive failure of reservoir rocks is very important for the stability analysis of ultra-deep boreholes. The progressive failure can be characterized by the crack initiation stress (CI), crack damage stress (CD) and peak str
Externí odkaz:
https://doaj.org/article/d405e7d2a98d45dd8283029be02ae28d
Back analysis of shear strength parameters of slope based on BP neural network and genetic algorithm
Autor:
Xiaopeng Deng, Xinghua Xiang
Publikováno v:
Engineering Reports, Vol 6, Iss 10, Pp n/a-n/a (2024)
Abstract Efficient and accurate acquisition of slope shear strength parameters is the key to slope stability analysis and landslide prevention engineering design. This paper establishes a back analysis method based on uniform design, artificial neura
Externí odkaz:
https://doaj.org/article/afa806cc627940fd9ec020832519ae2b
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 104949- (2024)
Accurate prediction of thermal conductivity (λ) in frozen soils is essential for understanding their thermal behavior and improving thermal response analyses. Currently, there are numerous models for calculating λ, but unified laboratory data to co
Externí odkaz:
https://doaj.org/article/999fd065edf04df3b4349487cdc0d1d3
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 4, Pp 1373-1387 (2024)
Real-time prediction of excavation-induced displacement of retaining pile during the deep excavation process is crucial for construction safety. This paper proposes a modified back analysis method with multi-objective optimization procedure, which en
Externí odkaz:
https://doaj.org/article/b214c41d447e4d73a8e3e8f8885ba1cc
Publikováno v:
International Journal of Geo-Engineering, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract In general, geotechnical investigations deal with the back analysis of the geotechnical parameters on the basis of the field observation. According to the back analysis method introduced in the present study, geometry of a number of failed s
Externí odkaz:
https://doaj.org/article/acb7013a0c504cc695dbe8d51fe723fc
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