Predicting the failure time of unstable slopes is one of the most pivotal issues. In this paper, the inverse square root acceleration(INSRA) method was proposed to estimate the time-of-failure(TOF) of landslides. Four...Predicting the failure time of unstable slopes is one of the most pivotal issues. In this paper, the inverse square root acceleration(INSRA) method was proposed to estimate the time-of-failure(TOF) of landslides. Four collapsed slopes were presented in the three open-pit mines, two of them were probed by ground-based radar, and two of them were obtained from previous scientific papers. The inverse velocity(INV) method and INSRA method were adopted to analyze these four landslides and one slope which had great deformation but did not reach failure. Compared with the traditional INV method, the INSRA method can promote the forecasting effectiveness and has the advantage of higher accuracy.展开更多
基金supported by the National Natural Science Foundation of China (Grant Nos.51839009 and 51679017)。
文摘Predicting the failure time of unstable slopes is one of the most pivotal issues. In this paper, the inverse square root acceleration(INSRA) method was proposed to estimate the time-of-failure(TOF) of landslides. Four collapsed slopes were presented in the three open-pit mines, two of them were probed by ground-based radar, and two of them were obtained from previous scientific papers. The inverse velocity(INV) method and INSRA method were adopted to analyze these four landslides and one slope which had great deformation but did not reach failure. Compared with the traditional INV method, the INSRA method can promote the forecasting effectiveness and has the advantage of higher accuracy.
