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Volume 11, Issue 1and2, 2004
Civil and Mechanical Engineering
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Prediction of Collapse Potential for Compacted Soils Using Artificial Neural Networks
G. Habibagahi (PhD.)
M. Taherian [PhD.]
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Collapse, defined as the additional deformation of compacted soils when wetted, is believed to be responsible for damage to buildings resting on compacted fills, as well as failure in embankments and earth dams. In this paper, three different types of neural networks, namely, conventional Back-Propagation Neural Network (BPNN), Recurrent Neural Network (RNN) and Generalized Regression Neural Network (GRNN) are employed as computational tools to predict the amount of collapse and to investigate the influence of various parameters on the collapse potential. To arrive at this goal, 192 series of a single oedometer test were carried out on three soils with different initial conditions and inundated at different applied pressures. The test results were used to prepare the necessary database for training the neural network. Similar test results available in literature were also included in the database to arrive at a total of 330 sets of data. A comparison of the network prediction for collapse potential with some available models shows the superiority of the network in terms of the accuracy of prediction. Moreover, by analyzing the network connection weights, the relative importance of different parameters on collapse potential was assessed. Based on this analysis, for a given soil type, the initial dry unit weight, \gamma_d, is the most important factor influencing collapse potential. |
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Design Method and Feasibility Study of Fully Actively Controlled Frames
A. Joghataie (PhD.)
M.M. Asbmarz [PhD.]
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In this paper, results of a preliminary study on the feasibility of using an Active Tendon Control (ATC) mechanism for frame structures subject to earthquakes is presented. So far, the ATC mechanism has mainly been considered as a means for installation on structures to mitigate their response under severe loading. In this study, it is desired to evaluate the possibility of using the ATC mechanism to serve as the main means for the stability of frames against earthquakes. Hence, a methodology is presented for the integrated design of frames with ATC mechanisms, which is tested numerically. A number of five-, ten-, fifteen- and twenty-story steel frames are used for this purpose. To this end, first, each of the frames is designed in accordance with the Uniform Building Code of Practice (UBC). Then, the same structure is re-designed for its dead load only, but equipped with a number of ATC mechanisms that help the structure withstand earthquake loading, so that its overall behavior is similar to the UBC frame. This results in a reduction of the cross-sectional dimensions and weight of the columns at the expense of providing the required hydraulic actuator(s), the sensory system, the controller chip(s) and the prestressed tendons. The ATC frame so designed is, then, considered to be equivalent or comparable to the UBC frame. Furthermore, the behavior of the ATC and UBC designs are compared. |
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Three-Dimensional Eigenmode Flutter Analysis of a Rectangular Cantilever Plate in Low Subsonic Flow
F. Bakhtiari Nejad (PhD.)
S. Shokrollahi [PhD.]
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In this paper, a 3-D, unsteady vortex lattice model to compute aerodynamic coefficients, using time domain eigenmode analysis, is presented. A computationally efficient technique for constructing a reduced order model of unsteady flow about a low aspect ratio wing, modeled as a cantilever plate of constant thickness, is presented. Analysis demonstrates that limit cycle oscillations of the order of the plate thickness are possible. The eigenmodes of the system, which may be considered as aerodynamic states, are computed and, subsequently, used to construct a computationally efficient, reduced order model of an unsteady flowfield. Only a handful of the most dominant eigenmodes are retained in the reduced order model. The effect of the remaining eigenmodes is included approximately, using a static correction technique. An advantage of the present method is that, once the eigenmode information has been computed, the reduced order model can be constructed for any number of arbitrary modes of wing motion very inexpensively. The method is particularly well suited for use in the active control of aeroelastic phenomena, as well as in standard aeroelastic analysis for flutter or gust response. Finally, a numerical example is presented that demonstrates the accuracy and computational efficiency of the present method. |
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