Abstract
The components of most structural and mechanical systems exhibit considerable variations or uncertainties in their properties and the performance characteristics of such systems are subject to uncertainties. In the case of a rotor bearing system, the nonlinear bearing restoring force is usually represented as a third or fourth power of displacement or as a piecewise linear function of displacement. The coefficients of these models are acquired from experiments and approximations, and will vary considerably during the operation of the bearing. Hence it is more reasonable to treat them as uncertain values. Other bearing parameters such as the inertial properties of concentrated disks, distributed mass and damping of the rotating assemblies are also uncertain due to manufacturing and assembly errors and imprecise operating conditions. It is known that the vibration response of a rotor is highly sensitive to small fluctuations or variations in the bearing parameters. Therefore, any realistic analysis and design of rotor-bearing systems must take the uncertainties into account. In this paper, a methodology is presented for the fuzzy analysis of nonlinear rotor-bearing systems along with numerical results to demonstrate the computational feasibility of the methodology.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ASME Design Engineering Technical Conference |
| Pages | 1247-1257 |
| Number of pages | 11 |
| Volume | 1 |
| Edition | PARTS A AND B |
| DOIs | |
| State | Published - Dec 1 2009 |
| Event | ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009 - San Diego, CA, United States Duration: Aug 30 2009 → Sep 2 2009 |
Other
| Other | ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009 |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 8/30/09 → 9/2/09 |
Fingerprint
ASJC Scopus subject areas
- Mechanical Engineering
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Modeling and Simulation
Cite this
Analysis of rotor bearing systems with uncertainties : A fuzzy approach. / Rao, Singiresu S; Qiu, Yazhao.
Proceedings of the ASME Design Engineering Technical Conference. Vol. 1 PARTS A AND B. ed. 2009. p. 1247-1257.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Analysis of rotor bearing systems with uncertainties
T2 - A fuzzy approach
AU - Rao, Singiresu S
AU - Qiu, Yazhao
PY - 2009/12/1
Y1 - 2009/12/1
N2 - The components of most structural and mechanical systems exhibit considerable variations or uncertainties in their properties and the performance characteristics of such systems are subject to uncertainties. In the case of a rotor bearing system, the nonlinear bearing restoring force is usually represented as a third or fourth power of displacement or as a piecewise linear function of displacement. The coefficients of these models are acquired from experiments and approximations, and will vary considerably during the operation of the bearing. Hence it is more reasonable to treat them as uncertain values. Other bearing parameters such as the inertial properties of concentrated disks, distributed mass and damping of the rotating assemblies are also uncertain due to manufacturing and assembly errors and imprecise operating conditions. It is known that the vibration response of a rotor is highly sensitive to small fluctuations or variations in the bearing parameters. Therefore, any realistic analysis and design of rotor-bearing systems must take the uncertainties into account. In this paper, a methodology is presented for the fuzzy analysis of nonlinear rotor-bearing systems along with numerical results to demonstrate the computational feasibility of the methodology.
AB - The components of most structural and mechanical systems exhibit considerable variations or uncertainties in their properties and the performance characteristics of such systems are subject to uncertainties. In the case of a rotor bearing system, the nonlinear bearing restoring force is usually represented as a third or fourth power of displacement or as a piecewise linear function of displacement. The coefficients of these models are acquired from experiments and approximations, and will vary considerably during the operation of the bearing. Hence it is more reasonable to treat them as uncertain values. Other bearing parameters such as the inertial properties of concentrated disks, distributed mass and damping of the rotating assemblies are also uncertain due to manufacturing and assembly errors and imprecise operating conditions. It is known that the vibration response of a rotor is highly sensitive to small fluctuations or variations in the bearing parameters. Therefore, any realistic analysis and design of rotor-bearing systems must take the uncertainties into account. In this paper, a methodology is presented for the fuzzy analysis of nonlinear rotor-bearing systems along with numerical results to demonstrate the computational feasibility of the methodology.
UR - http://www.scopus.com/inward/record.url?scp=82155164332&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=82155164332&partnerID=8YFLogxK
U2 - 10.1115/DETC2009-87471
DO - 10.1115/DETC2009-87471
M3 - Conference contribution
AN - SCOPUS:77953773187
SN - 9780791848982
VL - 1
SP - 1247
EP - 1257
BT - Proceedings of the ASME Design Engineering Technical Conference
ER -