University of Nevada, Las Vegas
Dynamic analysis of an overhead crane carrying a canister by finite element method
Abstract
dc:description.abstractA finite element model for an overhead crane carrying a nuclear waste canister is developed. This model is used to perform the static, dynamic and impact analysis using the finite element software COSMOS/M. Static results are compared with simplified model solutions to verify the accuracy of the finite element model. Frequency analysis is also performed to determine the first six natural frequencies of the system. Three of these six frequencies are compared with analytical results for verification. In the dynamic analysis, the crane is allowed to travel for a specified time. A computer program is written to connect static and dynamic modules because COSMOS/M software needs nodal displacements from static program as initial conditions for dynamic analysis. Displacement analysis is shown for nodes one each on the I beam, trolley, rope, and canister. The response studies of the system are obtained when the crane is stopped by using the nodal displacements and velocities from the dynamic analysis as input. Lastly, impact between two canisters is analyzed by taking impact velocity from dynamic analysis. Stresses in the canisters are compared with the dynamic yield strength of the canister material to determine whether yield point of the stainless steel is exceeded.
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MS)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Mechanical Engineering
- Grantor dc:publisher
- University of Nevada, Las Vegas
- Year
- 1993
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Musukula, Vijayachander Reddy
Rights
dc:rights- Statement dc:rights
-
- IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
- Language dc:language
- English
Identifiers
dc:identifier.*- Identifier
- https://oasis.library.unlv.edu/rtds/306
- OAI identifier oai:identifier
- oai:oasis.library.unlv.edu:rtds-1305