Rock load estimation and support design: a case study

2021 ◽  
Vol 8 (1) ◽  
pp. 1869367
Author(s):  
Sylvanus Sebbeh-Newton ◽  
Shaib Abdulazeez Shehu ◽  
Prosper Ayawah ◽  
Azupuri A. Kaba ◽  
Hareyani Zabidi

2018 ◽  
pp. 141-150
Author(s):  
R. Venugopala Rao ◽  
S. Naik ◽  
M.N. Reddy ◽  
R.N. Gupta
Keyword(s):  

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Xiuling Wang ◽  
Jinxing Lai ◽  
Rodney Sheldon Garnes ◽  
Yanbin Luo

Tunnelling or undertaking below-ground construction in squeezing ground can always present many engineering surprises, in which this complicated geology bring a series of tunnelling difficulties. Obviously, if the major affecting factors and mechanism of the structure damage in these complicated geological conditions are determined accurately, fewer problems will be faced during the tunnel excavation. For this study, reference is made to four tunnel cases located in the Qingling-Daba mountainous squeezing area that are dominated by a strong tectonic uplift and diversified geological structures. This paper establishes a strong support system suitable for a squeezing tunnel for the purpose of addressing problems exhibited in the extreme deformation of rock mass, structure crack, or even failure during excavation phase. This support system contains a number of temporary support measures used for ensuring the stability of tunnel face during tunnelling. The final support system was constructed, including some key techniques such as the employment of the foot reinforcement bolt (FRB), an overall strong support measure, and more reserved deformation. Results in this case study showed significant effectiveness of the support systems along with a safe and efficient construction process. The tunnel support system proposed in this paper can be helpful to support design and provide sufficient support and arrangement before tunnel construction in squeezing ground.


2016 ◽  
Vol 16 (3) ◽  
pp. 05015001 ◽  
Author(s):  
Erkut Yalcin ◽  
Zulfu Gurocak ◽  
Rouzbeh Ghabchi ◽  
Musharraf Zaman

2016 ◽  
Vol 16 (2) ◽  
pp. 93-112 ◽  
Author(s):  
João Marcelo Borovina Josko ◽  
João Eduardo Ferreira

Data quality assessment outcomes are essential to ensure useful analytical processes results. Relevant computational approaches provide assessment support, especially to data defects that present more precise rules. However, data defects that are more dependent of data context knowledge challenge the data quality assessment since the process involves human supervision. Visualization systems belong to a class of supervised tools that can make visible data defect structures. Despite their considerable design knowledge encodings, there is little support design to visual quality assessment of data defects. Therefore, this work reports a case study that has explored which and how visualization properties facilitate visual detection of data defect. Its outcomes offer a first set of implications to design visualization system to permit data quality visual assessment.


Sign in / Sign up

Export Citation Format

Share Document