Application and Design of Transition Piled Embankment with Surcharged Prefabricated Vertical Drain Intersection over Soft Ground

Назир, Рамли; Moayedi, Hossein; Subramaniam, Puspanathan; Gue, See-Sew

doi:10.1007/s13369-017-2628-6

Cited by 10 publications

(2 citation statements)

References 13 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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“…Sci. 2019, 9, Few more studies have been performed on longitude strain, which have measured the instrumented piles [8][9][10][11][12][13], transferring of load in rapid pile axial loading [14], static, dynamic, seismic, and cyclic lateral load of pile classifications [15][16][17], rigid and flexible pile behaviors in diverse soft soils [18][19][20], and skin friction resistance measurement in piles [21]. Some studies have been conducted based on numerical simulations, however, others have been performed on field monitoring (Ng and Sritharan [22]; Hung et al [23]; Tafreshi et al [24]; Mascarucci et al [25]; and Lee et al [26]).…”

Section: Introductionmentioning

confidence: 99%

Determination of Young Elasticity Modulus in Bored Piles Through the Global Strain Extensometer Sensors and Real-Time Monitoring Data

et al. 2019

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For friction piles depending on the friction resistance, accurate prediction of unit skin friction around the pile shaft is the dominant resistance to measure the final bearing capacity of a bored-pile. The present study measures the stress-strain transferring in two instrumented bored-piles (BP #1 & BP# 2) embedded within the soil layer in Kuala Lumpur by real-time monitoring global strain extensometer (GSE) sensors. Two bored-piles (i.e., having 1.80 m and 1.0 m diameters, as well as 36 m and 32 m lengths) have been loaded with two times to their design working loads. Extensive data are analyzed to measure the changes in stress-strain in the bored-pile. The effect of loading and unloading stages on the pile's head and base settlement has been monitored, indicating that Young modulus of elasticity in concrete bored-pile (E c ), average strain, and unit skin friction changed along the bored-pile based on the ground site conditions and stress registered. One example of two case studies with great real-time monitoring data has been provided to further design.

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Interpretable Predictions: Machine Learning Approaches to Understand Slope Stability in the Presence of Joint Networks

Singh,

Chakravarty

2023

Springer Proceedings in Earth and Environmental Sciences

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Application and Design of Transition Piled Embankment with Surcharged Prefabricated Vertical Drain Intersection over Soft Ground

Cited by 10 publications

References 13 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

Determination of Young Elasticity Modulus in Bored Piles Through the Global Strain Extensometer Sensors and Real-Time Monitoring Data

Interpretable Predictions: Machine Learning Approaches to Understand Slope Stability in the Presence of Joint Networks

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