Naslov
Application of conditional random fields for the reliability assessment of slope stability

Autori
Đepina, Ivan ; Wolebo, Amanuel Petros

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 12th International Conference on Structural Safety and Reliability (ICOSSAR2017), Vienna, Austria / - Beč : Grafisches Zentrum HTU GmbH, 2017, 1-8

ISBN
978-3-903024-28-1

Skup
12th International Conference on Structural Safety & Reliability

Mjesto i datum
Beč, Austrija, 06.08.2017. - 10.08.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
slope stability ; uncertainties in soil properties ; simulation model ; Cone Penetration Test (CPT) ; inherent variability ; Monte Carlo framework ; 2D finite element model

Sažetak
This study employs conditional random fields to integrate different sources of information on soil properties in the reliability assessment of slope stability in Rissa, Norway. The reliability assessment is conducted to quantify the effects of uncertainties in soil properties and the simulation model on the safety assessment of the slope. The uncertainties in soil properties are modeled with normal and lognormal random fields. The random fields are conditioned on the values of soil properties interpreted from Cone Penetration Test (CPT) measurements at several locations along the slope. The interpreted values of soil properties are subjected to uncertainty due to the inherent variability of CPT measurements, measurement errors, and transformation uncertainty. The application of conditional random fields enables a consistent treatment and integration of different sources of information on soil properties with varying degree of certainty. The reliability assessment of the slope stability is conducted within the Monte Carlo framework by propagating the uncertainties to the slope response. The response of the slope is simulated by a 2D finite element model with an error term accounting for the uncertainty of the simulation model.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo

POVEZANOST RADA