| Summary: | 碩士 === 朝陽科技大學 === 營建工程系碩士班 === 93 === Taiwan is located in the Circum-Pacific Seismic Zone. Earthquakes took place frequently, and natural slopes were often weaken after the earthquakes. Consequently, a lot of slopes collapsed after torrential rains during typhoon seasons. The 14th provincial highway is one of the main arterial roads connecting the middle and eastern parts of Taiwan, also is an important tourism highway in central Taiwan. Several slopes along this highway also collapse frequently. However, not much research toward the failure potential of slopes along this highway has been performed. Therefore, this study investigates the failure potential of 13 slopes along the 31k to 75k section of the 14th provincial highway.
Four hundred and sixty-two sets of data were collected and analyzed using Artificial Neural Networks (ANN) method. Among these data, 370 sets were used as training data, and the other 92 sets were used as predicting data. Results of this study indicate that the ANN method can predict the slope failure potential with an accuracy up to 90%. Sensibility analysis indicates that the gradient of slope is the most important factor next to rainfall which induced failure of slopes. The outcomes are coincident with study performed by Chia-Lung Kao in 2003 using Instability Index method. Therefore, it is concluded that the ANN method is a good way to predict the failure potential of slopes.
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