Elastoplastic Solution of Cylindrical Cavity Expansion in Unsaturated Offshore Island Soil Considering Anisotropy

Cui, Jifei; Jin, Yanhao; Jing, Yingjie; Lu, Yu

doi:10.3390/jmse12020308

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…This process inevitably requires a large number of underground constructions. At the same time, deep excavations near existing infrastructures are unavoidable because of the limited available space in urban areas [1][2][3][4][5][6][7]. The presence of adjacent urban underground pipe galleries has become a necessary consideration for the construction of a deep foundation pit.…”

Section: Introductionmentioning

confidence: 99%

Analytical Solution for the Deformation of Pipe Galleries Adjacent to Deep Excavation

Xiang,

Liu,

Cui

et al. 2024

Buildings

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Deep excavations clearly impact adjacent existing properties and threaten their operational safety. Predicting the deformation of existing infrastructure induced by nearby underground construction is the main concern of urban underground development. This paper presents an analytical calculation method for predicting underground pipe gallery deformations induced by adjacent deep excavations. First, the authors assume the existing pipe gallery to be nonexistent in the soil and propose a solution to calculate the excavation-induced vertical movements of the soil at the position of the existing pipe gallery. Thereafter, the authors simplify the existing pipe gallery as an elastic beam on a Winkler foundation to calculate its deformation. Finally, the method is verified by the good agreement found between the calculated result and the field measurement of the construction of the Shanghai Hongqiao CBD project. The proposed analytical method of this work can provide accurate evaluation results for similar engineering projects.

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Section: Introductionmentioning

confidence: 99%

Analytical Solution for the Deformation of Pipe Galleries Adjacent to Deep Excavation

Xiang,

Liu,

Cui

et al. 2024

Buildings

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“…The design, construction, and performance of deep excavations are closely interrelated, and it is not easy to carry out an excavation both efficiently and safely. From a design perspective, many factors (e.g., ground conditions, retaining schemes, construction methods, and construction costs) should be considered [1,2]. The existing design methods, which are generally based on observations of past case studies, are no longer capable of generating reliable predictions for new cases with increasingly complex construction conditions.…”

Section: Introductionmentioning

confidence: 99%

Parametric Study of the Deep Excavation Performance of Underground Pumping Station Based on Numerical Method

Zhang,

Yang,

Azzam

2024

Buildings

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Environmental responses to deep excavations are combined results of numerous factors. The effects of some factors are relatively straightforward and can be considered carefully during the design. On the other hand, more features impact excavation-induced performances indirectly, making their influences difficult to be clearly understood. Unfortunately, the complexity and non-repeatability of practical projects make it impossible to thoroughly understand these issues through realistic deep excavation projects. Therefore, parametric studies based on repeatable laboratory and numerical tests are desired to investigate these issues further. This work examines the influence of several key features on excavation-induced displacements through a series of 3D numerical tests. The study includes the choice of soil constitutive models, the modeling method of the soil–wall interface, and the influences of various key soil parameters. The comparison shows that the MCC model can yield a displacement field similar to the HSS model, while its soil movement is greatly improved compared to the MC model. Both the soil–wall interface properties and soil parameters impact the excavation-induced displacement to a large extent. In addition, the influence mechanisms of these parameters are analyzed, and practical suggestions are given. The findings of this paper are expected to provide practical references to the design and construction of future deep excavation projects.

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“…Marine soft clay sediment is a commonly employed foundation material in various offshore engineering projects, including embankments and breakwaters [1][2][3][4]. Consequently, the mechanical properties of marine soft clay sediment, particularly its peak shear strength, play a pivotal role in ensuring the stability of ocean engineering structures [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Estimating Shear Strength of Marine Soft Clay Sediment: Experimental Research and Hybrid Ensemble Artificial Intelligence Modeling

Hu,

Li,

Wang

et al. 2024

Water

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In the design of offshore engineering foundations, a critical consideration involves determining the peak shear strength of marine soft clay sediment. To enhance the accuracy of estimating this value, a database containing 729 direct shear tests on marine soft clay sediment was established. Employing a machine learning approach, the Particle Swarm Optimization algorithm (PSO) was integrated with the Adaptive Boosting Algorithm (ADA) and Back Propagation Artificial Neural Network (BPANN). This novel methodology represents the initial effort to employ such a model for predicting the peak shear strength of the soil. To validate the proposed approach, four conventional machine learning algorithms were also developed as references, including PSO-optimized BPANN, Support Vector Machine (SVM), BPANN, and ADA-BPANN. The study results show that the PSO-BPANN model, which has undergone optimization via Particle Swarm Optimization (PSO), has prediction accuracy and efficiency in determining the peak shear performance of marine soft clay sediments that surpass that offered by traditional machine learning models. Additionally, a sensitivity analysis conducted with this innovative model highlights the notable impact of factors such as normal stress, initial soil density, the number of drying–wetting cycles, and average soil particle size on the peak shear strength of this type of sediment, while the impact of initial soil moisture content and temperature is comparatively minor. Finally, an analytical formula derived from the novel algorithm allows for precise estimation of the peak shear strength of marine soft clay sediment, catering to individuals lacking a background in machine learning.

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Elastoplastic Solution of Cylindrical Cavity Expansion in Unsaturated Offshore Island Soil Considering Anisotropy

Cited by 5 publications

References 30 publications

Analytical Solution for the Deformation of Pipe Galleries Adjacent to Deep Excavation

Analytical Solution for the Deformation of Pipe Galleries Adjacent to Deep Excavation

Parametric Study of the Deep Excavation Performance of Underground Pumping Station Based on Numerical Method

Estimating Shear Strength of Marine Soft Clay Sediment: Experimental Research and Hybrid Ensemble Artificial Intelligence Modeling

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