Behavior of a Deep Excavation and Damages on Adjacent Buildings: a Case Study in Vietnam

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

doi:10.1007/s40515-020-00142-7

Cited by 20 publications

(4 citation statements)

References 31 publications

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“…Thus, the range of value ratio E / S u is small, even the average value of this ratio is equal to 251, and hence it is entirely reasonable with previous studies 87,88,99 . Furthermore, contractors in Vietnam also adopted this value to calculate similar problems, and the obtained results are good for a reflection on soil behavior 100,101 …”

Section: Resultssupporting

confidence: 81%

“…87,88,99 Furthermore, contractors in Vietnam also adopted this value to calculate similar problems, and the obtained results are good for a reflection on soil behavior. 100,101 For soil layer 2, the proposed optimization process finds the value of modulus to be 415S u . This result is outside of the range of previous studies, that is, the normal scope is [500, 700]S u .…”

Section: F I G U R E 1mentioning

confidence: 99%

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A nonlinear optimization method for calibration of large‐scale deep cement mixing in very soft clay deep excavation

To,

Minh,

Huynh

et al. 2024

Num Anal Meth Geomechanics

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This work proposes a novel technique to conduct back‐analysis of lateral displacement of deep cement mixing (DCM) columns in deep excavation construction. For the first time, we propose a process to investigate both soil and underground structure end‐to‐end automatically. The novel technique is a complex combination of three crucial factors: (1) a nature‐inspired optimization algorithm (O), (2) a three‐dimensional PLAXIS Geotechnical Engineering software (P) and (3) a modern Python language programming (P), hereinafter called the a nature‐inspired optimization algorithm (O), a three‐dimensional PLAXIS Geotechnical Engineering software (P) and a modern Python language programming (P) (OPP) technique. The novel meta‐heuristic algorithm simulated the co‐evolved partnership behavior of shrimps and goby fishes, termed Shrimp and Goby Association (SGA), which plays an important role in complex analyses. A series of exams to determine the SGA's performance is conducted on 38 benchmark test functions (IEEE Congress on Evolutionary Computation 2017 and 2019) and three real‐world engineering design problems to showcase its applicability. The metaheuristic and PLAXIS 3D analysis work well together, which makes the back‐analysis technique powerfully to determinate stiffness parameters instead of the traditional approaches. Based on the optimized parameters, the lateral deflection of DCM and soil are well predicted for excavation. This study proposes a technique to estimate efficiently the stiffness parameter for very soft soil. As a consequence of the optimization process, an equation to determine the stiffness parameter of DCM columns from laboratory test is also proposed. Based on the obtained results, this research provides a comprehensive methodology for predicting risk, enhancing safety, saving time and money, and effectively designing and constructing underground structures.

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Section: Resultssupporting

confidence: 81%

Section: F I G U R E 1mentioning

confidence: 99%

A nonlinear optimization method for calibration of large‐scale deep cement mixing in very soft clay deep excavation

To,

Minh,

Huynh

et al. 2024

Num Anal Meth Geomechanics

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“…Some studies [15][16][17][18][19][20][21][22] have demonstrated that the hardening soil model with small strain stiff (HSS) is an advanced constitutive model for soil in numerical simulations related to excavation issues, and the simulation results using it can obtain reasonable retaining structure and soil displacements. Therefore, the HSS model for soil was used in this study.…”

Section: Constitutive Model and Parametersmentioning

confidence: 99%

Influenced Zone of Deep Excavation on Adjacent Tunnel Displacement and Control Effect of Ground Improvement in Soft Soil

Liu

Shao

2022

Applied Sciences

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The aim of this study is to predict the influenced zone of deep excavation on adjacent tunnel displacement, evaluate the control effect of ground improvement, and give the optimal parameters for ground improvement. Based on the current research, a series of finite element method (FEM) numerical simulations were conducted to study the deep excavation-induced tunnel displacement behaviors, considering different tunnel positions outside the pit. On this basis, the influenced zone of deep excavation on an adjacent tunnel was divided corresponding to 3-level tunnel displacement control standards. Then, the commonly used control measure of ground improvement was chosen to study the effects of strength, depth, and width of the improved soil outside the pit on the displacement behaviors of the tunnel. An index of tunnel displacement control effectiveness (η) was proposed to quantitively characterize the control effect on tunnel displacement. Considering the control effect and engineering economy, the suggested values of strength, depth, and width of the improved soil were provided. Finally, the control effect of ground improvement outside the pit on the influenced zone of deep excavation was studied using the suggested parameters. The research indicates that the range outside the pit can be divided into: I—primary influenced zone, II—secondary influenced zone, III—general influenced zone, and IV—weak influenced zone. Considering the control effect and engineering economy, it is suggested that the ground improvement strength should be kept within 1.5~2 MPa, the ground improvement depth should be 2 times the excavation depth, and the ground improvement width should be increased as much as possible if the site condition allows. After the ground improvement using the suggested parameters, the scope of the influenced zone of deep excavation is reduced and the I—primary influenced zone no longer exists.

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“…The stability and structural integrity of neighboring buildings can be directly and indirectly affected by the presence of anchored diaphragm walls [14,15]. These effects are contingent upon multiple factors such as the proximity of the buildings to the diaphragm walls, the depth and scale of excavation for the diaphragm walls, the construction methodology employed, and the properties of the surrounding soil.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Study on the Influence of Anchored Diaphragm Walls on Adjacent Buildings during Deep Excavation Construction

Nguyen,

Nikiforova,

Nguyen

et al. 2023

E3S Web Conf.

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The aim of this numerical study is to investigate the impact of anchored diaphragm walls on adjacent buildings during deep excavation construction, considering five typical geological conditions in big cities of Vietnam. To achieve this, the behavior of anchored diaphragm walls systems is simulated using the Plaxis 2D program. By conducting these analyses, the study seeks to provide important insights into the behavior of anchored diaphragm walls and their effects on nearby buildings during deep excavation construction.

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Behavior of a Deep Excavation and Damages on Adjacent Buildings: a Case Study in Vietnam

Cited by 20 publications

References 31 publications

A nonlinear optimization method for calibration of large‐scale deep cement mixing in very soft clay deep excavation

A nonlinear optimization method for calibration of large‐scale deep cement mixing in very soft clay deep excavation

Influenced Zone of Deep Excavation on Adjacent Tunnel Displacement and Control Effect of Ground Improvement in Soft Soil

A Numerical Study on the Influence of Anchored Diaphragm Walls on Adjacent Buildings during Deep Excavation Construction

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