Optimization of control device locations and sizes in mine ventilation systems

This study proposes an improved methodology for solving the semi-controlled ventilation network problem. After analysis and consideration of the objective and legal, technical and operation convenience factors, the semi-controlled network problem is formulated through a nonlinear nonconvex programming model. Using the special ordered sets variables, the nonconvex problem is linearized and then optimized by the modified branch and bound procedure where the automatic interpolation technique is used to improve the accuracy to which the each nonlinear function is approximated. The global optimality of the methodology is on the computational the~ry basis. And the applicability of the methodology to the generalized ventilation problem is investigated, and it is demonstrated with a number of examples. This study also compares the several methods which have been used so far to optimize the underground ventilation networks.

Name thesis:degree_name

Ph. D.

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Mining Engineering

Department dc:contributor.department

Mining Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

1992

Author dc:creator

• Wu, Xing

Chair dc:contributor.committeechair

• Topuz, Ertugrul

Committee members dc:contributor.committeemember

• Haycocks, C.
• Lucas, J. Richard
• Karfakis, M.
• McPherson, M.

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

etd-06062008-170507

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/38413