Salvato in:
Dettagli Bibliografici
Autore principale: Álvaro J. Mattos
Natura: Artículo científico
Lingua:en
Pubblicazione: Instituto Tecnológico Metropolitano 2020
Soggetti:
Accesso online:https://www.redalyc.org/articulo.oa?id=344263272009
https://www.redalyc.org/journal/3442/344263272009/
https://www.redalyc.org/journal/3442/344263272009/html/
https://www.redalyc.org/journal/3442/344263272009/344263272009.epub
https://www.redalyc.org/journal/3442/344263272009/movil
https://doi.org/10.22430/22565337.1433
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
Sommario:
  • Reliability Analysis of Bored-pile Wall Stability Considering Parameter Uncertainties Álvaro J. Mattos Roberto J. Marin Ingeniería Bored pile wall reliability based design embedment depth In geotechnical engineering, bored-pile wall stability is evaluated using deterministic design methods based on safety factors to establish a margin against failure. In recent years, reliability-based design methods have been adopted to include uncertainty in the assessment of bored-pile wall stability as well as in the calculation of the feasible embedment depth of the walls. In this study, an expanded reliability-based design approach, along with finite element analysis, was applied to conduct parametric analyses of bored-pile wall stability. In serviceability limit state design framework, the results indicate that cohesion and groundwater level are factors that significantly affect bored-pile wall stability. Moreover, high variability in the cohesion range causes great uncertainty to determine the embedment depth of bored-pile wall. The feasible embedment depth can reach 4 times the free height considering the maximum coefficient of variation (50 %) of the cohesion. In turn, when the groundwater level is located at the retained ground surface, the horizontal displacement of the upper end of the wall reaches 15.2 mm, i.e., 0.0038 times the free height of the wall, for which the soil mobilizes active earth pressures. It was also found that the resolution of probabilistic results is highly influenced by the number of iterations in Monte Carlo simulations. 2020 artículo científico 0123-7799 https://www.redalyc.org/articulo.oa?id=344263272009 https://www.redalyc.org/journal/3442/344263272009/ https://www.redalyc.org/journal/3442/344263272009/html/ https://www.redalyc.org/journal/3442/344263272009/344263272009.epub https://www.redalyc.org/journal/3442/344263272009/movil https://doi.org/10.22430/22565337.1433 en http://www.redalyc.org/revista.oa?id=3442 TecnoLógicas application/pdf Instituto Tecnológico Metropolitano TecnoLógicas (Colombia) Num.48 Vol.23