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

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 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.

scholarly journals A Design Method of Deep Excavation in Cohesive Soil Based on the Reliability Theory

1980 ◽  
Vol 20 (1) ◽  
pp. 61-75 ◽  
Author(s):  
Minoru Matsuo ◽  
Kunio Kawamura
Keyword(s):  
Design Method ◽  
Cohesive Soil ◽  
Reliability Theory ◽  
Deep Excavation

Monitoring Analysis on the Internal Action of Pile-Anchor Support System of Deep Excavation of Wangjing SOHO Plaza in Beijing

2014 ◽  
Vol 488-489 ◽  
pp. 312-315
Author(s):  
Xiao Min Zhou ◽  
Zeng Fu Lai ◽  
Eric Boda
Keyword(s):  
Design Method ◽  
Limit Equilibrium ◽  
Tensile Force ◽  
Internal Force ◽  
Deep Excavation ◽  
Stress Monitoring ◽  
State Monitoring ◽  
Limit Equilibrium State ◽  
Internal Action ◽  
State Of Tension

Based on the oversize deep excavation project of Wangjing Soho in Beijing, the stress monitoring of top beam, soldier piles and anchor strand were carried out, which shows the development process of the internal force caused by spatial member interaction, reflect the differences from the mechanics principal of the traditional design method such as elastic foundation beam or equivalence beam of limit equilibrium state. Monitoring practice reveals that soldier pile were under the combination state of compression and bending, and are proved safe because of low stress; while the top coupled beam is under the combination state of tension and bending, and the tensile stress might goes to the stress limit, which has much relationship to the anchor arrangement, so the design of top beam should be regarded as one of the key control of construction safety. The tensile force of anchor strand are not easy to be hold with the tapered-type anchorage in site, the actual tested tensile force reaches 150~220KN , only the half of the design value.

Analysis of cement-treated soil slab for deep excavation support – a rational approach

Géotechnique ◽  
2019 ◽  
Vol 69 (10) ◽  
pp. 888-905 ◽  
Author(s):  
Yutao Pan ◽  
Yong Liu ◽  
Fook Hou Lee ◽  
Kok Kwang Phoon
Keyword(s):  
Rational Approach ◽  
Deep Excavation ◽  
Treated Soil ◽  
Excavation Support
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