Verification of soil parameters of hardening soil model with small-strain stiffness for deep excavations in medium dense sand in Ho Chi Minh City, Vietnam

Huynh, Quoc Thien; Lai, Van Qui; Boonyatee, Tirawat; Keawsawasvong, Suraparb

doi:10.1007/s41062-021-00621-x

Cited by 25 publications

(12 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SS-HSM is an extension of the traditional HSM, which can capture nonlinear behaviour under small strains. Small strains are common in many geotechnical problems [11]. Accordingly, SS-HSM is especially relevant in the case of embedded walls, where the majority of walls exhibit both small strains and nonlinear behaviour.…”

Section: Assumptions and Methodologymentioning

confidence: 99%

“…Owing to its complexity, the HSM requires assessing and calibrating many input parameters, which in turn require several laboratory and field tests. Indeed, many researchers have conducted rigorous tests to compare these with numerical modeling results (e.g., [10,11]. Depending on the project scope and stage, it is often the case that limited data are available for selecting proper input parameters for the HSM.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Comparative Study of Embedded Wall Displacements Using Small-Strain Hardening Soil Model

Eilat,

Mitelman,

McQuillan

et al. 2024

Geotechnics

View full text Add to dashboard Cite

Traditional analysis of embedded earth-retaining walls relies on simplistic lateral earth pressure theory methods, which do not allow for direct computation of wall displacements. Contemporary numerical models rely on the Mohr–Coulomb model, which generally falls short of accurate wall displacement prediction. The advanced constitutive small-strain hardening soil model (SS-HSM), effectively captures complex nonlinear soil behavior. However, its application is currently limited, as SS-HSM requires multiple input parameters, rendering numerical modeling a challenging and time-consuming task. This study presents an extensive numerical investigation, where wall displacements from numerical models are compared to empirical findings from a large and reliable database. A novel automated computational scheme is created for model generation and advanced data analysis is undertaken for this objective. The main findings indicate that the SS-HSM can provide realistic predictions of wall displacements. Ultimately, a range of input parameters for the utilization of SS-HSM in earth-retaining wall analysis is established, providing a good starting point for engineers and researchers seeking to model more complex scenarios of embedded walls with the SS-HSM.

show abstract

Section: Assumptions and Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Embedded Wall Displacements Using Small-Strain Hardening Soil Model

Eilat,

Mitelman,

McQuillan

et al. 2024

Geotechnics

View full text Add to dashboard Cite

show abstract

“…Medium and dense sands are about 3 m thick and distributed widely from 10 to 60 m depth. The SPT value of this soil ranges from 8 to more than 25 blows/ft [33].…”

Section: Geological Conditionmentioning

confidence: 99%

Base resistance of super-large and long piles in soft soil: performance of artificial neural network model and field implications

2022

Self Cite

View full text Add to dashboard Cite

This study aims to examine the performance of artificial neural network (ANN) model based on 1137 datasets of super-large (1.0–2.5 m in equivalent diameter) and long (40.2–99 m) piles collected over 37 real projects in the past 10 years in Mekong Delta. Five key input parameters including the load, the displacement, the Standard Penetration Test value of the base soil, the distance between the loading point and pile toe, and the axial stiffness are identified via assessing the results of field load tests. Key innovations of this study are (i) use of large database to evaluate the effect that random selection of training and testing datasets can have on the predicted outcomes of ANN modelling, (ii) a simple approach using multiple learning rates to enhance training process, (iii) clarification of the role that the selected input factors can play in the base resistance, and (iv) new empirical relationships between the pile load and settlement. The results show that the random selection of training and testing datasets can affect significantly the predicted results, for example, the confidence of prediction can drop under 80% when an average R2 > 0.85 is required. The analysis indicates predominant role of the displacement in governing the base resistance of piles, providing significant implication to practical designs.

show abstract

“…Experience values suggested by Wang et al [44] were used for Poisson's ratio for unloading-reloading (ν ur ), shear strain when the shear modulus attenuation to 70% of the initial shear modulus (γ 0.7 ), the initial resting lateral pressure coefficient (K 0 ). Table 2 gives the parameters of HSS model, more details and explanation can be found in the work by Gu et al [45] and Huynh et al [46]. The method of different-group waterhead interpolation was applied to simulate the dewatering of excavation, i.e., the water table inside the excavation was progressively lowered with the excavation of the soil during each phase.…”

Section: Finite Element Modelmentioning

confidence: 99%

Assessment of Earth Retaining Performance for Long-Short Piles Composite Structures from Field Experiments and Numerical Analysis

Zhu

et al. 2022

Buildings

View full text Add to dashboard Cite

Retaining pile structure is commonly utilized in excavation maintenance design. In recent years, the long-short combined retaining piles have received more and more attention. According to the actual deep excavation engineering, the working mechanism of the long-short, long-double-short, and long-triple-short combined retaining piles was tested in the field. Based on the field test parameters, the finite element model of the test area was established and the simulation results were verified, and the effects of short pile length and pile spacing on bending moment, horizontal displacement of piles, surface settlement, and excavation bottom heave were further investigated. The results show that the bending moment of the long pile is larger than the short pile. The bending moment of the long pile and short pile increases gradually with the increase in the number of short piles. When the combination changes from combination 1 to 3, the peak moment of the long pile and short pile increases by 15.8% and 15.2%, respectively. The maximum displacement is near the pile top, combination 3 has the largest horizontal displacement, and the peak displacement of the long pile and the short pile is 17.21 mm and 17.87 mm, respectively, but almost no effect exists on the horizontal displacement below the excavation bottom. In addition, reducing short pile length and increasing pile spacing will increase bending moment and horizontal displacement of the long and short piles to a certain extent, and this phenomenon is mainly concentrated above the excavation bottom, the influence of short pile length and pile spacing on surface settlement and excavation bottom heave can be ignored.

show abstract

Verification of soil parameters of hardening soil model with small-strain stiffness for deep excavations in medium dense sand in Ho Chi Minh City, Vietnam

Cited by 25 publications

References 53 publications

A Comparative Study of Embedded Wall Displacements Using Small-Strain Hardening Soil Model

A Comparative Study of Embedded Wall Displacements Using Small-Strain Hardening Soil Model

Base resistance of super-large and long piles in soft soil: performance of artificial neural network model and field implications

Assessment of Earth Retaining Performance for Long-Short Piles Composite Structures from Field Experiments and Numerical Analysis

Contact Info

Product

Resources

About