A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Load-displacement uncertainty of vertically loaded shallow footings on sands and effects on probabilistic settlement estimation
This article focuses on the statistical characterisation and stochastic modelling of the load-displacement behaviour of shallow footings on cohesionless soils and on the probabilistic estimation of settlement for serviceability limit state design (LSD). The study relies on a field database of 30 full-scale footings subjected to vertical loading with cone penetration testing data available for each site. The performance of three load-displacement models in replicating field data is assessed comparatively through statistical analysis. Load-displacement uncertainty is subsequently modelled probabilistically to perform Monte Carlo Simulation (MCS)-based estimation of footing settlement using the best-performing power law model. The dependence among load-displacement model parameters is investigated and replicated using copula theory. Samples are generated to account for parametric uncertainties in model inputs. The simulation output samples of settlement are examined statistically in order to assess the relevance of parametric and load-displacement uncertainties in settlement estimation, as well as the importance of accounting for correlation between power law model parameters. A simple analytical model for the estimation of settlement at any target reliability level is obtained on the basis of the outputs of MCS. The model can be practically implemented in geotechnical LSD at serviceability limit states.
Load-displacement uncertainty of vertically loaded shallow footings on sands and effects on probabilistic settlement estimation
This article focuses on the statistical characterisation and stochastic modelling of the load-displacement behaviour of shallow footings on cohesionless soils and on the probabilistic estimation of settlement for serviceability limit state design (LSD). The study relies on a field database of 30 full-scale footings subjected to vertical loading with cone penetration testing data available for each site. The performance of three load-displacement models in replicating field data is assessed comparatively through statistical analysis. Load-displacement uncertainty is subsequently modelled probabilistically to perform Monte Carlo Simulation (MCS)-based estimation of footing settlement using the best-performing power law model. The dependence among load-displacement model parameters is investigated and replicated using copula theory. Samples are generated to account for parametric uncertainties in model inputs. The simulation output samples of settlement are examined statistically in order to assess the relevance of parametric and load-displacement uncertainties in settlement estimation, as well as the importance of accounting for correlation between power law model parameters. A simple analytical model for the estimation of settlement at any target reliability level is obtained on the basis of the outputs of MCS. The model can be practically implemented in geotechnical LSD at serviceability limit states.
Load-displacement uncertainty of vertically loaded shallow footings on sands and effects on probabilistic settlement estimation
Uzielli, Marco (author) / Mayne, Paul W. (author)
2012-03-01
20 pages
Article (Journal)
Electronic Resource
English
Seismic Settlement of Shallow Footings on Sands
| British Library Conference Proceedings | 1994
Settlement Estimation of Shallow Footings of Saturated and Unsaturated Sands
| British Library Conference Proceedings | 2012
Analysis of Settlement Profiles of Shallow Strip Footings Resting on Geosynthetic-Reinforced Sands
| Springer Verlag | 2024