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Cubic Beam Elements In Practical Analysis And Design Of Steel Frames, Lip H. Teh
Cubic Beam Elements In Practical Analysis And Design Of Steel Frames, Lip H. Teh
Faculty of Engineering - Papers (Archive)
This paper discusses various issues in the use of cubic beam elements for computer structural analysis/design of steel frames. It is pointed out that the concern expressed in recent literature regarding the number of cubic elements required to model a steel member is not justified, and that the inaccuracy of one cubic element in Euler buckling analysis of a simply supported column is largely irrelevant to the second-order elastic analysis/design or advanced analysis of steel frames. The sources of inaccuracy of the cubic element are elucidated. It is also explained that the plastic-zone analysis method is not so inefficient as …
Development And Performance Analysis Of A Single Axis Linear Motor, Jeffrey W. Moscrop, Christopher David Cook, Fazel Naghdy
Development And Performance Analysis Of A Single Axis Linear Motor, Jeffrey W. Moscrop, Christopher David Cook, Fazel Naghdy
Faculty of Informatics - Papers (Archive)
The ever-increasing demands placed on industrial machine tool manufacturers, for greater speeds and accuracies, are beginning to exceed the capabilities of current machine tool technologies. However, the ongoing revolution in computer, sensor and actuator technologies has introduced the potential of economically meeting these higher demands through new approaches in machine tool design. One actuator technology currently influencing high precision industrial automation is the linear motor. This paper details the development of a single axis linear motor test-bed, replicating one axis of a laser cutting machine tool. Through analysis of system stiffness and torque disturbances, the performance of the linear motor …
Signal Analysis Using A Multiresolution Form Of The Singular Value Decomposition, Ramakrishna Kakarala, Philip Ogunbona
Signal Analysis Using A Multiresolution Form Of The Singular Value Decomposition, Ramakrishna Kakarala, Philip Ogunbona
Faculty of Informatics - Papers (Archive)
This paper proposes a multiresolution form of the singular value decomposition (SVD) and shows how it may be used for signal analysis and approximation. It is well-known that the SVD has optimal decorrelation and subrank approximation properties. The multiresolution form of SVD proposed here retains those properties, and moreover, has linear computational complexity. By using the multiresolution SVD, the following important characteristics of a signal may be measured, at each of several levels of resolution: isotropy, sphericity of principal components, self-similarity under scaling, and resolution of mean-squared error into meaningful components. Theoretical calculations are provided for simple statistical models to …