Groundwater drawdown induced ground settlement during tunneling – sensitivity analysis on influencing factors

2014 ◽  
pp. 473-477
Author(s):  
C Yoo ◽  
E Jung
Keyword(s):  
Sensitivity Analysis ◽  
Influencing Factors ◽  
Ground Settlement ◽  
Groundwater Drawdown

A Simulation Model for Multi-Factor Sensitivity Analysis on Energy Demand

2012 ◽  
Vol 621 ◽  
pp. 352-355
Author(s):  
Zhong Fu Tan ◽  
Shu Xiang Wang ◽  
Chen Zhang ◽  
Li Qiong Lin ◽  
Yin Hui Zhao
Keyword(s):  
Sensitivity Analysis ◽  
Energy Efficiency ◽  
Regression Model ◽  
Simulation Model ◽  
Influencing Factors ◽  
Energy Demand ◽  
Analysis Model ◽  
Demand Forecast ◽  
Population Urbanization

This paper analyses multi influencing factors of energy demand, using energy demand forecast regression model reveals inner relations between each factor and energy demand. Establish simulation model of the relation between GDP, energy intense and energy demand. Under the change in population, urbanization and energy efficiency, this paper gives analysis model of energy demand change.

scholarly journals How do changes along the risk chain affect flood risk?

2018 ◽  
Vol 18 (11) ◽  
pp. 3089-3108 ◽  
Author(s):  
Ayse Duha Metin ◽  
Nguyen Viet Dung ◽  
Kai Schröter ◽  
Björn Guse ◽  
Heiko Apel ◽  
...  
Keyword(s):  
Land Use ◽  
Sensitivity Analysis ◽  
Influencing Factors ◽  
Flood Risk ◽  
River System ◽  
Drivers Of Change ◽  
Damage Mechanisms ◽  
Atmospheric Processes ◽  
Case Study Area

Abstract. Flood risk is impacted by a range of physical and socio-economic processes. Hence, the quantification of flood risk ideally considers the complete flood risk chain, from atmospheric processes through catchment and river system processes to damage mechanisms in the affected areas. Although it is generally accepted that a multitude of changes along the risk chain can occur and impact flood risk, there is a lack of knowledge of how and to what extent changes in influencing factors propagate through the chain and finally affect flood risk. To fill this gap, we present a comprehensive sensitivity analysis which considers changes in all risk components, i.e. changes in climate, catchment, river system, land use, assets, and vulnerability. The application of this framework to the mesoscale Mulde catchment in Germany shows that flood risk can vary dramatically as a consequence of plausible change scenarios. It further reveals that components that have not received much attention, such as changes in dike systems or in vulnerability, may outweigh changes in often investigated components, such as climate. Although the specific results are conditional on the case study area and the selected assumptions, they emphasize the need for a broader consideration of potential drivers of change in a comprehensive way. Hence, our approach contributes to a better understanding of how the different risk components influence the overall flood risk.

scholarly journals Ground Settlement of High-Permeability Sand Layer Induced by Shield Tunneling: A Case Study under the Guidance of DBN

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-26
Author(s):  
Cong Zhou ◽  
Wei Gao ◽  
Shuang Cui ◽  
Xiaochun Zhong ◽  
Chengjie Hu ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Ground Settlement ◽  
High Permeability ◽  
Shield Tunneling ◽  
Factors Affecting ◽  
Settlement Prediction ◽  
Correlation Degree ◽  
Improvement Measures ◽  
Cutter Head

During the shield construction of Harbin Subway Line No. 3 Project, the average ground settlement exceeds the warning value. In order to find the cause of settlement and improve it, this paper establishes a settlement prediction model to analyse the potential influencing factors based on the Deep Belief Network (DBN) and calculated the correlation degree between influencing factors and settlement through sensitivity analysis. It was found that the permeability coefficients of layer and cutter head torque are the main factors affecting settlement. Then, corresponding muck improvement measures were made according to the analysis of the layer conditions, which successfully reduced the permeability and shear strength of the muck, thereby controlling the surface settlement value within the warning range. The research results in this paper illustrate the applicability and robustness of DBN in tunnel engineering, and the related research ideas can be applied to other projects.

Three-dimensional numerical investigation of multifaced tunneling in water-bearing soft ground

2008 ◽  
Vol 45 (10) ◽  
pp. 1467-1486 ◽  
Author(s):  
Chungsik Yoo ◽  
Sun-Bin Kim
Keyword(s):  
Numerical Investigation ◽  
Three Dimensional ◽  
Element Model ◽  
Soft Ground ◽  
Single Pile ◽  
Ground Settlement ◽  
Axial Loads ◽  
Groundwater Drawdown ◽  
Fully Coupled ◽  
Ground Settlements

This paper presents the results of a numerical investigation of the performance of multifaced tunneling under a pile-supported building in water-bearing soft ground. Special attention was paid to the effect of tunneling and groundwater interaction on the tunneling performance. A fully coupled three-dimensional (3D) stress – pore pressure finite element model was adopted to realistically capture the mechanical and hydrological interaction between the tunneling and groundwater. The results indicate that the groundwater drawdown during tunneling yields a considerably larger settlement-affected zone than for cases with no groundwater drawdown, with a tendency for large portions of ground settlement and groundwater drawdown to be completed before the tunnel passes a monitoring section. Also revealed is that the presence of a building tends to reduce the ground settlements and cause subsurface settlements more or less uniformly with depth. It is shown that the lining deformation, and thus its stresses are not significantly affected by the presence of the building for the multifaced tunneling considered in this study. Axial loads in the piles supporting the building tend to either increase or decrease depending on the pile location relative to the tunnel axis. The patterns of changes in pile axial loads are different from the results of previous studies concerning a single pile.

scholarly journals Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils

2019 ◽  
Vol 15 (5) ◽  
pp. 1259-1272 ◽  
Author(s):  
A. T. C. Goh ◽  
R. H. Zhang ◽  
W. Wang ◽  
L. Wang ◽  
H. L. Liu ◽  
...  
Keyword(s):  
Numerical Study ◽  
Ground Settlement ◽  
Residual Soils ◽  
Groundwater Drawdown

Influencing Factors Sensitivity Analysis of Carbonization Life of River-Crossing Tunnel Lining Structures

2010 ◽  
Vol 163-167 ◽  
pp. 3376-3379 ◽  
Author(s):  
Hai Ming Chen ◽  
Dong Wei Li ◽  
Cheng Juan Ying
Keyword(s):  
Sensitivity Analysis ◽  
Influencing Factors ◽  
Yangtze River ◽  
Uniform Design ◽  
Co2 Concentration ◽  
Concrete Cover ◽  
Concrete Compressive Strength ◽  
Grey Correlation ◽  
Research Achievement ◽  
Grey Correlation Theory

At present, durability of concrete structures has become one of the problems widely concerned by the academic and engineer circles in civil engineering. Shanghai Yangtze River tunnel project is the engineering background of the paper. The sensitivity analysis has been studied on carbonization life's influencing factors of Shanghai Yangtze River Tunnel segment structure with the method of grey -correlation theory and uniform design. The results show that concrete cover depth has the most important effect. The other less important influencing factors in turn are as follows: concrete compressive strength, fly ash substitution amount, temperature, relative humidity and CO2 concentration. The research achievement has been using in the design and construction of Yangtze River Tunnel, and good results have been achieved.

Sign in / Sign up

Export Citation Format

Share Document