scholarly journals Effect of Deep Excavations on Adjacent Structures and Importance of Deep Excavation Support

2021 ◽  
Author(s):  
Nagham Ghamraoui ◽  
Diala Tabbal
Keyword(s):  
Deep Excavation ◽  
Deep Excavations ◽  
Adjacent Structures ◽  
Excavation Support

scholarly journals Excavation support – geotechnical failures in the context of design and execution errors as well as formal and economic conditions

2019 ◽  
Vol 284 ◽  
pp. 03006
Author(s):  
Natalia Maca ◽  
Jakub Sierant
Keyword(s):  
Civil Engineering ◽  
Economic Conditions ◽  
Deep Excavation ◽  
Deep Excavations ◽  
Execution Phase ◽  
Failure State ◽  
Geotechnical Structures ◽  
Ground Conditions ◽  
Excavation Support

Deep excavations carried out in the difficult ground conditions, demand particular care both in a design and execution phase, as well as reliably conducted supervision by personnel having the appropriate skill and experience, but also well-defined responsibility map. In the paper the consequences in omissions in some of these aspects are presented. Description of several deep excavation projects implemented with different techniques and in various ground conditions, in which failure or pre-failure state occurred are introduced. The results of the analysis failure causes analysis are characterized. On that basis, the tendencies in the scope of the most frequently occurring causes of failures in geotechnical project carried out in Poland are defined. Finally, an attempt is made to indicate the direction of changes needed in order to improve the situation – to reduce the number of construction failures in geotechnical projects. The paper contains also observations about uniqueness of the geotechnical structures comparing to other branches of civil engineering works and highlights risks and sources of problems in deep excavation projects. The discussion about vulnerability and high percentage of failure in that kind of projects in context of formal end economical conditions of public tender procedures is presented.

scholarly journals Forecasting the impact of buildings with multi-storey underground parts on the displacement of subsoil using modern numerical tools

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hanna Michalak ◽  
Paweł Przybysz
Keyword(s):  
Numerical Modelling ◽  
Numerical Models ◽  
Deep Excavation ◽  
Design And Implementation ◽  
Numerical Tools ◽  
Excavation Support ◽  
Area Of Influence ◽  
The Impact ◽  
New Buildings ◽  
Ground Part

Abstract The paper will analyse and review the experience to date in determining the impact range of implementation of deeply founded structures on the displacement of the subsoil in the vicinity. With the background of these experiences, primarily empirical, the present possibilities of using numerical modelling to forecast the displacements of the terrain surface in various stages of works, that is, execution of deep excavation support systems, excavation-deepening phases with successive adding of struts, construction of underground levels and erection of the above-ground part of the building, will be presented. Based on the results of own research, conclusions on the use of 3D numerical models in spatial shaping and designing the structure of underground parts of new buildings erected in dense urban development will be presented. The characterised 3D numerical models were verified, taking into account the actual results of geodetic measurements of the completed buildings. Determining the range and forecasting the displacements of the subsoil are necessary for the design and implementation of investments due to the need to ensure the safety of erection and use of a new building and the buildings located within the area of influence.

scholarly journals Adopting Numerical Models for Prediction of Ground Movements Induced by Deep Excavation

2020 ◽  
Vol 8 (6) ◽  
pp. 976-989
Keyword(s):  
Numerical Models ◽  
Ground Surface ◽  
Sensitivity Study ◽  
Design Criterion ◽  
Deep Excavation ◽  
Soil Behavior ◽  
Analysis And Design ◽  
Ground Movements ◽  
Codes Of Practice ◽  
Adjacent Structures

Control of ground surface settlement induced by deep excavation is of major concern in order to attain safety of adjacent structures and utilities against excessive or differential settlements. Accurate prediction of ground surface movements is an important design criterion in the analysis and design of excavation supporting systems. Many codes of practice are based on a design criterion that satisfies a factor of safety preventing collapse of the system and its surrounding soil. In this research, finite element modeling is adopted to numerically simulate the performance of deep excavation systems and the associated ground movements. The soil behavior was simulated using two types of models; the Mohr-Coulomb model (MC) and the Hardening Soil Model (HS). Field data from monitoring a real deep excavation case history of a retaining system was considered to check the validity of the proposed numerical modeling. A simpler equivalent section replacing the multi-layered soil profile was verified. Then, a sensitivity study has been conducted to study the influence of major parameters that affect ground movements induced by deep excavation. The results of the parametric study were accomplished to construct design charts and drive empirical equations by implementing a design parameter, called the "Stiffness Ratio (R)”, that represents the supporting system stiffness. From these suggested charts and equations, the percentage of maximum vertical ground movements to wall height can be estimated.

scholarly journals DISPLACEMENT MONITORING AND SENSITIVITY ANALYSIS IN THE OBSERVATIONAL METHOD

2013 ◽  
Vol 35 (3) ◽  
pp. 25-43 ◽  
Author(s):  
Karolina Górska ◽  
Zbigniew Muszyński ◽  
Jarosław Rybak
Keyword(s):  
Sensitivity Analysis ◽  
Computational Model ◽  
Cohesive Soil ◽  
Calculation Model ◽  
Observational Method ◽  
Deep Excavation ◽  
Sheet Pile ◽  
Displacement Monitoring ◽  
Excavation Support ◽  
Construction Works

Abstract This work discusses the fundamentals of designing deep excavation support by means of observational method. The effective tools for optimum designing with the use of the observational method are both inclinometric and geodetic monitoring, which provide data for the systematically updated calibration of the numerical computational model. The analysis included methods for selecting data for the design (by choosing the basic random variables), as well as methods for an on-going verification of the results of numeric calculations (e.g., MES) by way of measuring the structure displacement using geodetic and inclinometric techniques. The presented example shows the sensitivity analysis of the calculation model for a cantilever wall in non-cohesive soil; that analysis makes it possible to select the data to be later subject to calibration. The paper presents the results of measurements of a sheet pile wall displacement, carried out by means of inclinometric method and, simultaneously, two geodetic methods, successively with the deepening of the excavation. This work includes also critical comments regarding the usefulness of the obtained data, as well as practical aspects of taking measurement in the conditions of on-going construction works.

Displacement Prediction for Soil Nailing Based on ANN

2013 ◽  
Vol 353-356 ◽  
pp. 614-618
Author(s):  
Lang Gao ◽  
Zhao Wen Tang ◽  
Quan Zhong Liu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Soil Nailing ◽  
Deep Excavation ◽  
Engineering Project ◽  
Deformation Prediction ◽  
Displacement Prediction ◽  
Artificial Neural ◽  
Excavation Support ◽  
Artificial Neural Network Ann

Soil nailing has become an important excavation support system for its good performance and cost-effectiveness. It is complicated to predict deformation of soil nailing during excavating. The Artificial Neural Network (ANN) is developed very quickly these years, which can be applied in diverse applications such as complex non-linear function mapping, pattern recognition, image processing and so on, and has been widely used in many fields, including geotechnical engineering. In this paper, the artificial neural network is applied for deformation prediction for soil nailing in deep excavation. The time series neural networks-based model for predicting deformation is presented and used in an engineering project. The results predicted by the model and those observed in the field are compared. It is shown that the artificial neural network-based method is effective in predicting the displacement of soil nailing during excavation.

Distributions of ground movements parallel to deep excavations in clay

2006 ◽  
Vol 43 (1) ◽  
pp. 43-58 ◽  
Author(s):  
Jill Roboski ◽  
Richard J Finno
Keyword(s):  
Error Function ◽  
Ground Movement ◽  
Deep Excavation ◽  
Direction Parallel ◽  
Ground Movements ◽  
Movement Data ◽  
Empirical Procedure ◽  
Complementary Error Function ◽  
Excavation Support ◽  
Support Wall

An empirical procedure for fitting a complementary error function (erfc) to settlement and lateral ground movement data in a direction parallel to an excavation support wall is proposed based on extensive optical survey data obtained around a 12.8 m deep excavation in Chicago. The maximum ground movement and the height and length of an excavation wall define the erfc fitting function. The erfc fit is shown to apply to three other excavation projects where substantial ground movement data were reported.Key words: excavations, clays, ground movements, performance data.

DEVELOPMENT OF DESIGN METHOD FOR INCLINED BRACELESS EXCAVATION SUPPORT APPLICABLE TO DEEP EXCAVATION

2021 ◽  
Vol 77 (1) ◽  
pp. 1-17
Author(s):  
Tomonari MAEDA ◽  
Yoichi SHIMADA ◽  
Shinichi TAKAHASHI ◽  
Shigehiko SUGIE ◽  
Junichi KOSEKI
Keyword(s):  
Design Method ◽  
Deep Excavation ◽  
Excavation Support

Risk Control in the Deep Excavations with the Application of the Observational Method

2011 ◽  
Vol 243-249 ◽  
pp. 3403-3410
Author(s):  
Jian Qin Ma
Keyword(s):  
Risk Control ◽  
Observational Method ◽  
Deep Excavation ◽  
General Process ◽  
Deep Excavations ◽  
Rapid Deterioration ◽  
Design And Construction

The uncertainty of the ground, in which a deep excavation to be conducted, is always inherent. The risk control of the excavation is therefore necessary. Based on the principle features of a deep excavation, a general process of risk control is presented in terms of design and construction, with the application of the observational method. To avoid the conflicts of the involved groups’ interests, a close co-operation between the groups in a well planned procedure is vital to the success of the risk control, especially to the case with rapid deterioration stages included.

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