A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations
Multiple types of responses, such as displacements, ground water level, pore water pressures, water contents, etc., are usually measured in comprehensive monitoring programmes for rainfall-induced landslide prevention. In this study, a probabilistic calibration method for coupled hydro-mechanical modelling of slope stability is presented with integration of multiple types of measurements. A numerical example of a soil slope under rainfall infiltration is illustrated to compare the effects of single and multiple types of responses on parameter estimation and model calibration. The results show that the soil parameters can be estimated with less uncertainty and total uncertainty bounds are narrower with multiple types of responses than with a single type of response. Model calibration based on multiple types of responses can compromise different responses and hence the means and standard deviations of model error are the smallest. A feasible correlation coefficient between soil modulus and permeability can be obtained from model calibration with multiple types of responses and single type of response as long as the responses include displacement data.
Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations
Multiple types of responses, such as displacements, ground water level, pore water pressures, water contents, etc., are usually measured in comprehensive monitoring programmes for rainfall-induced landslide prevention. In this study, a probabilistic calibration method for coupled hydro-mechanical modelling of slope stability is presented with integration of multiple types of measurements. A numerical example of a soil slope under rainfall infiltration is illustrated to compare the effects of single and multiple types of responses on parameter estimation and model calibration. The results show that the soil parameters can be estimated with less uncertainty and total uncertainty bounds are narrower with multiple types of responses than with a single type of response. Model calibration based on multiple types of responses can compromise different responses and hence the means and standard deviations of model error are the smallest. A feasible correlation coefficient between soil modulus and permeability can be obtained from model calibration with multiple types of responses and single type of response as long as the responses include displacement data.
Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations
Zhang, Lulu (author) / Wu, Fang (author) / Zheng, Yafei (author) / Chen, Lihong (author) / Zhang, Jie (author) / Li, Xu (author)
2018-07-03
14 pages
Article (Journal)
Electronic Resource
English
Probabilistic Calibration of Resistance Factors for Slope Stability
| British Library Conference Proceedings | 2009
Hydro-mechanical reinforcements of live poles to slope stability
| British Library Online Contents | 2018
Modelling hydro-mechanical reinforcements of plants to slope stability
| British Library Online Contents | 2018
Modelling hydro-mechanical reinforcements of plants to slope stability
| British Library Online Contents | 2018