Mechanical behaviour of soil under drying–wetting cycles and vertical confining pressures

Chao, Zhiming; Shi, Danda; Fowmes, Gary John

doi:10.1680/jenge.22.00048

Cited by 15 publications

(5 citation statements)

References 33 publications

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“…This combined effect and relationship between precipitation and storm surge has previously been investigated by Svensson and Jones [28]. These studies emphasize that univariate flood frequency analysis falls short when assessing extreme events caused by interconnected random variables [29][30][31][32]. But until now, to our knowledge, limited research has explored the compound impacts between storm surges and flood variables in coastal areas for distinct pair combinations.…”

Section: Introductionmentioning

confidence: 84%

Compound Impact of Storm Surge and Flood Characteristics in Coastal Area Based on Copula

Zhu,

Zhang,

Zhu

2024

Water

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In low-lying coastal areas, the interplay of various factors including precipitation, river flow, and storm surge can lead to greater influence on floods when they occur simultaneously. The copula method was used in this study to investigate the bivariate flood risk of compounding storm surge and river discharge events in the Pearl River Delta (PRD). Our results indicate that while the correlation between storm surge and flood peak (S-Q) was weak, there was a strong dependence between the pairs of storm surge–flood volume (S-V) and storm surge–flood duration (S-D). For these three pairs, the Clayton copula was the optimal function for S-Q, while the Frank copula was the optimal function for S-V and S-D, respectively. When the flood volume exceeds 2.0 × 104 m3/s and the flood duration is more than 10 days, the bivariate hydrologic risk for S-V and S-D is observed to decrease rapidly. Furthermore, the failure probability (FP) would be underestimated when the combined impact of river flow and storm surge is ignored in coastal flood risk assessment. Such bivariate hydrologic risk analysis implies that when determining design values in coastal flood risk assessment, the combined impact of river flow and storm surge should be taken into account.

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Section: Introductionmentioning

confidence: 84%

Compound Impact of Storm Surge and Flood Characteristics in Coastal Area Based on Copula

Zhu,

Zhang,

Zhu

2024

Water

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“…Consequently, an individual particle's extremum and the population extremum are continually refined based on the fitness values of the newly evaluated particles. This iterative procedure continues until the predefined termination condition is met [64].…”

Section: The Principle Of Psomentioning

confidence: 99%

Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine Learning Techniques

Cui,

Zhou,

Gao

et al. 2024

Water

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In this study, a method was introduced to validate the presence of a Representative Elementary Volume (REV) within marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure. Physical testing provided the basis for this verification. Once the existence of the REV for such sediment was confirmed, we established a machine-learning predictive model. This model utilizes a hybrid algorithm combining Particle Swarm Optimization (PSO) with a Support Vector Machine (SVM). The model was trained using a database generated from the aforementioned physical tests. The machine-learning model demonstrates favorable predictive performance based on several statistical metrics, including the coefficient of determination (R2), mean residual error (MSE), mean relative residual error (MRSE), and the correlation coefficient R during the verification process. Utilizing the established machine-learning predictive model, one can effortlessly obtain the permeability tensor of marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure by inputting the relevant stress condition parameters. The original research cannot estimate the permeability tensor under similar loading and unloading conditions through REV. In this study, the physical model test was used to determine the REV of marine cohesive sediments with cracks by cyclic-constrained pressure loading and unloading. Referring to the results of physical tests, we developed a machine-learning prediction model that can easily estimate the permeability tensor of marine cohesive sediments with cracks under cyclic loading and constrained pressure unloading conditions. This method greatly saves time and computation and provides a direct method for engineering and technical personnel to predict the permeability tensor in this case.

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“…This, in turn, allows for the treated soil to be repurposed directly within engineering projects. These methods include electro-osmotic consolidation [7,8], vacuum preloading [9], soil stabilization with lime and cement [10][11][12][13], and geosynthetic reinforcement [14][15][16][17]. Among these methods, geosynthetic treatment is notably recognized for its cost-effectiveness and environmentally friendly attributes [18,19].…”

Section: Introductionmentioning

confidence: 99%

Mechanism and Application of Soilbags Filled with Excavated Soil in Soft Soil Subgrade Treatment

Xu,

Liao,

Fan

2024

Applied Sciences

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This research addresses the characteristics of soft soil subgrades treated by soilbags filled with excavated clayey soil. We evaluated of the strength and deformation modulus of soilbags containing excavated soil using unconfined compression tests. In addition, the drainage consolidation characteristics of soilbag-treated subgrades were investigated via model consolidation tests. Furthermore, a practical application included the construction of a 100 m-long rural road subgrade with these soilbags. The field test and numerical simulation results included the surface settlement and pore water pressure during and after construction to validate the effectiveness of the soilbag treatment for soft soil subgrade. The results show that the soilbags significantly enhanced both the strength and deformation modulus of the soft soil, which met the design requirements after the soilbag treatment. The drainage attributes of the soilbag treatment were also found to support the consolidation process of the soft soil subgrade effectively. Notably, the pore water pressure diminished rapidly during the construction interval, which is beneficial to reducing the post-construction settlement. The settlement uniformity of the subgrade is good verification of the superiority of the soilbag-treated subgrades.

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Mechanical behaviour of soil under drying–wetting cycles and vertical confining pressures

Cited by 15 publications

References 33 publications

Compound Impact of Storm Surge and Flood Characteristics in Coastal Area Based on Copula

Compound Impact of Storm Surge and Flood Characteristics in Coastal Area Based on Copula

Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine Learning Techniques

Mechanism and Application of Soilbags Filled with Excavated Soil in Soft Soil Subgrade Treatment

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