This chapter discusses under Tunnel design chapter, site investigation, rock parameters, tunnel boring machines, roadheaders, drill and blast, packer tests, geophysical test methods, and laboratory test procedure.
This paper presents the use of artificial neural networks (ANNs) as an alternative tool for tunneling performance prediction required in routine tunnel design works.
Success in tunneling nowadays also depends on a sustainable tunnel design, which considers social, environmental, and economic issues.
The implications for dilution tunnel design are discussed.
The methodology was implemented using an urban high-speed railway tunnel design project to demonstrate its potential for use as a tunnel design tool.
Associated with Brobeck were Ian Mackinlay Associates, which provided the architectural design; Jacobs Associates, which handled the tunnel design; and Pregnoff and Matheu, which produced the structural design.
For high performance, the anemometer testing equipment used a closed-circuit wind tunnel design.
Design engineers may use these findings to improve train and tunnel design.
The tunnel design and construction in abandoned coal mine areas confront many challenges.
An example is given to illustrate the process of tunnel design in molassic rocks.
Tunnel design is an interdisciplinary subject, involving geotechnical engineering, geology, geochemistry, and hydrogeology.
