Application of the A Neural <a href="http://www.ntsearch.com/search.php?q=Network&v=56">Network</a> Approach to Dynamic Analysis of Base Isolated Structure

• Main Authors: Ching-Tang Hsieh, 謝景棠
• Other Authors: Chern-Hwa Chen
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/5tuufa

碩士 === 中原大學 === 土木工程研究所 === 92 === Abstract Taiwan is a seismically active area, so that the seismic resistance capacity is a main concern in structural <a href="http://www.ntsearch.com/search.php?q=design&v=56">design</a>. During the recent two decades, base isolation devices and <a href="http://www.ntsearch.com/search.php?q=energy&v=56">energy</a> dissipation devices have provided a new and efficient alternative for decreasing the seismic hazard for structures. By implementing these devices in a structure, the structure itself will often be its linear elastic range during an earthquake, while the devices will perform their inelastic behaviors. In a conventional analysis, the model of the nonlinear behavior for the devices has to be established based on some mechanics principles. However, it is usually not an easy to establish the mechanic model to describe the complex nonlinear behavior of a device. Consequently, the main purpose of this present is to apply the neural <a href="http://www.ntsearch.com/search.php?q=network&v=56">network</a> technique to learn the complex nonlinear behavior of a device; then, to combine the <a href="http://www.ntsearch.com/search.php?q=network&v=56">network</a> with traditional structural dynamic analysis procedure to predict the responses of a structure with the devices subjected to earthquake input. The neural <a href="http://www.ntsearch.com/search.php?q=network&v=56">network</a> technique has caught researchers’ attention in the recent two decades, due to its powerful and adaptive abilities to treat various complex problems. However, this is the first <a href="http://www.ntsearch.com/search.php?q=time&v=56">time</a> to incorporate neural <a href="http://www.ntsearch.com/search.php?q=network&v=56">network</a> technique into traditional structural dynamic analysis. The neural <a href="http://www.ntsearch.com/search.php?q=network&v=56">network</a> will be used to learn the nonlinear behavior of base isolation devices like LRB. Then, the established neural <a href="http://www.ntsearch.com/search.php?q=network&v=56">network</a> will be implemented traditional procedure of structural dynamic analysis for predicting the responses of a five-story shear building with the base isolation device subjected to earthquake input. The results will be compared with those from a traditional approach to show the applicability of the proposed procedure in this present.