Application and design method of dredging sludge ground treated via prefabricated radiant drain vacuum preloading

Abstract

The high-water-content sludge produced through dredging seriously restricts marine ecological environments. Vacuum preloading methods (involving prefabricated vertical drains (PVDs)) are widely used to dewater and consolidate sludge ground, but these methods require long treatment periods and have deprived reinforcement effects. To overcome the limitations of PVD vacuum preloading, a prefabricated radiant drain (PRD) vacuum preloading method is proposed is this study by adding a prefabricated horizontal drain (PHD) to the PVD framework. Physical model tests are conducted under PVD and PRD vacuum preloading conditions, and a large-strain three-dimensional finite element (FE) model is established and validated against the physical model test data. FE parametric analyses are also conducted to evaluate the key factors influencing the PRD, i.e., the PHD length and spacing. The results show that the reinforcement effect of PRD vacuum preloading is better than that of PVD vacuum preloading. The ground settlement effect increases as the PHD length increases and the PHD spacing decreases. The settlement and pore water pressure metrics show elliptical distributions with an increasing PHD length. Through this work, an applicable sludge ground treatment design procedure is suggested based on parametric analyses; these findings can provide a reference for designing sludge ground treatments in the future.

Keywords:

• Vacuum preloading
• sludge ground
• reinforcement effect
• treatment design method
• prefabricated radiant drain

Authors’ contribution statement

Shuangxi Feng: Methodology, Software, Validation, Formal analysis, Writing-original draft, Funding acquisition. Huayang Lei: Conceptualization, Methodology, Resources, Writing-review & editing, Funding acquisition, Supervision. Anyi Liu: Experiments, Methodology, Software, Validation. Shitao Dai: Experiments, Methodology, Software. Tianlu Ma: Experiments, Methodology. Zheng Lei: Experiments, Methodology.

Disclosure statement

No competing financial interests exist.

Additional information

Funding

The authors acknowledge the National Natural Science Foundation of China (Grant No. 52108336), the Laboratory Open Fund of Key Laboratory of Earthquake Engineering Simulation and Seismic Resilience of China Earthquake Administration (Grant No. EESSR21) for their support.