Settlement Calculation and Back-Analysis of Soil Properties for a Test Embankment on a Soft Clay Ground Improved by PVD and Vacuum-Assisted Preloading at a Site in Vung Tau, Viet Nam

Quang, Nguyen Duy; Dang, Su Minh

doi:10.1007/978-3-642-32492-5_41

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Common fill materials are soil [4], natural aggregates [5] and lightweight filling material [6]. These fill materials must possess the required characteristics such as proper drainage to prevent saturation [7], good performance in compaction properties [8], compressibility [9], and shear strength [10]. Even if the embankment fill has the best material properties, instability can occur if it is built on unstable soft ground or soil with properties needing improvement.…”

Section: Introductionmentioning

confidence: 99%

A Review of Road Embankment Stability on Soft Ground: Problems and Future Perspective

Mamat

Kasa

Razali

2019

IIUMEJ

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This paper presents an exhaustive review of the challenges faced in the construction of road embankments on soft ground and proposes a direction for future development. Frequently used techniques for soft ground improvement are discussed. The factors that contribute to the stability of the road embankment are reviewed by approach, results of past studies, and historical cases. The findings show that settlement, slope stability, and soil bearing capacity are all challenges to constructing the road embankment. Additionally, it is found that geometric data is a key factor in embankment design. Pre-loading with prefabricated vertical drain (PVDs) methods and lightweight fill were found to be widely used techniques in soft ground improvement. The information from this study can be used to develop design guidance systems, numerical modelling, and to give an overview and knowledge to other researchers who are or will conduct research in this field. Finally, future perspectives for research are related to predictions of factors that affect the stability of road embankment with an artificial intelligence approach. ABSTRAK: Kertas ini membentangkan ulasan kajian menyeluruh mengenai cabaran yang dihadapi dalam pembinaan benteng jalanraya di atas tanah lembut dan mencadangkan ke arah pembangunan kajian masa depan. Teknik-teknik penambahbaikan tanah lembut yang sering digunakan turut dibincangkan. Faktor- faktor yang menyumbang kepada kestabilan benteng jalanraya diulas dengan pendekatan kepada kajian lepas dan sejarah kes. Hasil kajian ini didapati bahawa enapan, kestabilan cerun dan keupayaan galas tanah merupakan cabaran dalam pembinaan benteng jalanraya. Selain itu, ia didapati bahawa data geometri merupakan faktor penting kepada rekabentuk benteng. Kaedah pra pembebanan dengan prefabrikasi saliran menegak (PVDs) dan isian ringan didapati teknik yang popular digunakan dalam pembaikkan tanah lembut masa kini. Maklumat dari kajian ini boleh digunakan untuk membangunkan sistem panduan reka bentuk, pemodelan berangka serta memberi gambaran dan ilmu kepada penyelidik lain yang sedang atau akan menjalankan kajian dalam bidang ini. Akhir sekali, perspektif masa depan untuk penyelidikan berkaitan ramalan faktor-faktor yang mempengaruhi kestabilan embankment jalanraya dengan pendekatan kepintaran buatan.

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Section: Introductionmentioning

confidence: 99%

A Review of Road Embankment Stability on Soft Ground: Problems and Future Perspective

Mamat

Kasa

Razali

2019

IIUMEJ

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Coefficient Analysis of Soft Soil Consolidation Based on Measurement of Stratified Settlement

Yang

Zhang

et al. 2015

Geotech Geol Eng

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Study on settlement prediction of soft ground considering multiple feature parameters based on ISSA-RF model

Sun,

Yu,

et al. 2024

Sci Rep

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By collecting a large amount of data from various preloading engineering projects, a settlement prediction database was established including up to 15 feature parameters, such as final measured time, magnitude of surcharge loading, porosity ratio, internal friction angle, and others. Furthermore, a settlement prediction model of soft foundation based on random forest (RF) model was also developed. To enhance the accuracy of settlement prediction, the improved sparrow search algorithm (ISSA), which incorporates several enhancements such as the use of Logistic-tent chaotic mapping, adaptive nonlinear inertia-decreasing weight parameters, and Levy flight strategy, was proposed to optimize the hyperparameters of the RF model. The optimization results of various algorithms on benchmark functions revealed that the ISSA algorithm excelled in terms of accuracy and stability when compared to conventional algorithms such as particle swarm optimization and butterfly optimization. The ISSA-RF settlement prediction model was subsequently constructed and applied to practical projects. The results demonstrated that the ISSA-RF model exhibited superior prediction accuracy and applicability compared to the RF model. It can therefore provide valuable guidance for the planning and implementation of preloading engineering projects.

show abstract

Settlement Calculation and Back-Analysis of Soil Properties for a Test Embankment on a Soft Clay Ground Improved by PVD and Vacuum-Assisted Preloading at a Site in Vung Tau, Viet Nam

Cited by 3 publications

References 3 publications

A Review of Road Embankment Stability on Soft Ground: Problems and Future Perspective

A Review of Road Embankment Stability on Soft Ground: Problems and Future Perspective

Coefficient Analysis of Soft Soil Consolidation Based on Measurement of Stratified Settlement

Study on settlement prediction of soft ground considering multiple feature parameters based on ISSA-RF model

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