近幾年，隨著全球暖化造成氣候異常，間歇性暴雨所引發的災難頻傳，
強降雨使得地下水位急遽上升，對於邊坡而言，當地下水位上升後，因孔
隙水壓的增加會使土壤中的有效應力減少，造成邊坡不穩定，而臺灣坡地
面積占總面約四分之三，且有越來越多人往坡地進行開墾及建設，在邊坡
上大興土木對於邊坡穩定而言是需格外注意，若再加上豪雨的影響，便容
易有災難發生。因此本研究考慮地下水及地表載重對於土壤邊坡的影響，
利用基於極限分析法的數值軟體進行分析，將分析結果建立成穩定圖表，
供現場工程師能夠快速評估邊坡的穩定性。另外結合人工智慧的技術將重
覆性及複雜性的工作交由電腦負責，透過電腦運算可減少誤差並且能提高
效率。

In recent years, as global warming has caused an abnormal climate and frequent
disasters caused by intermittent rainstorms, heavy rainfall has caused the
groundwater level to rise sharply. For slopes, after the water level rises, the
increase in pore water pressure will cause the effective stress in the soil to be
reduced, resulting in unstable slopes. The slopes in Taiwan account for about
three-quarters of the total area. More and more people are reclaiming and
constructing on the slopes. It is necessary to pay special attention. If the impact
of heavy rain is added, disasters are prone to occur. Therefore, this study
considers the influence of groundwater and surcharge on soil slopes and uses
numerical software based on limit analysis to analyze the results and establish a
stability chart for field engineers to quickly evaluate the stability of the slope. In
addition, the combination of artificial intelligence technology puts repetitive
and complex tasks to the computer, and computer calculations can reduce errors
and improve efficiency.

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