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Full-Text Articles in Engineering
Developing And Using Landslide Size Frequency Models, A. T. Moon, R. A. Wilson, P. Flentje
Developing And Using Landslide Size Frequency Models, A. T. Moon, R. A. Wilson, P. Flentje
Faculty of Engineering - Papers (Archive)
Predicting the size and frequency of landslides is essential in landslide risk assessment. Records of past landslides are invariably incomplete and often provide little guidance on infrequent events. Presenting size frequency models graphically has the advantage of showing how observations, interpretations and judgements are interrelated, allows patterns to be recognized and understood, and models for different situations to be easily compared. Slope retreat rates were used to calibrate landslide size frequency models for individual slope units on an oversteepened escarpment above a road threatened by landslides in Australia. Evidence based models should be developed early and should be based on …
A Deformable Model With Cellular Neural Network, Yongmin Zhong, Bijan Shirinzadeh, Gursel Alici, Julian Smith
A Deformable Model With Cellular Neural Network, Yongmin Zhong, Bijan Shirinzadeh, Gursel Alici, Julian Smith
Faculty of Engineering - Papers (Archive)
This paper presents a new methodology for deformable models by drawing an analogy between cellular neural network (CNN) and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by the local connectivity of cells and the CNN dynamics. An improved CNN model is developed for propagating the energy generated by the external force on the object surface. A method is presented to derive the internal forces from the potential energy distribution established by the CNN. The methodology proposed in this paper can not …
Model-Based Adaptive Control Of Piezoelectric Actuation Systems, Hwee Choo Liaw, Denny Oetomo, Bijan Shirinzadeh, Gursel Alici
Model-Based Adaptive Control Of Piezoelectric Actuation Systems, Hwee Choo Liaw, Denny Oetomo, Bijan Shirinzadeh, Gursel Alici
Faculty of Engineering - Papers (Archive)
This paper proposes a model-based adaptive control methodology for piezoelectric actuation systems to follow specified motion trajectories. This is motivated by a search for an effective control strategy to deal with the problem of parametric uncertainties such as disturbance and hysteresis effects. The proposed adaptive law is formulated by combining a parameter compensator and a conventional PD feedback control for a system to drive its position tracking error converging to zero. The fundamental concept lies in the properties of a quasinatural potential function, which allows a saturated position error function in the control formulation. Implementation of the control law requires …