- AutorIn
- Abbas Daftari
- Titel
- New approach in prediction of soil liquefaction
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa-192304
- Datum der Einreichung
- 11.03.2014
- Datum der Verteidigung
- 23.11.2015
- Abstract (EN)
- Liquefaction is the phenomena when there is loss of strength in saturated and cohesion-less soils because of increased pore water pressures and hence reduced effective stresses due to dynamic loading. It is a phenomenon in which the strength and stiffness of a soil is reduced by earthquake shaking or other rapid loading. In this study, after the short review of liquefaction definition, the models of prediction and estimation of liquefaction were considered. Application of numerical modelling with two major software (FLAC & PLAXIS) for the Wildlife site liquefaction, under superstition earthquake in 1987 were compared and analysed. Third step was started with introduction of Fuzzy logic and neural network as two common intelligent mathematical methods. These two patterns for prediction of soil liquefaction were combined. The “Neural network- Fuzzy logic-Liquefaction- Prediction” (NFLP) was applied for liquefaction prediction in Wildlife site. The results show the powerful prediction of liquefaction happening with high degree of accuracy in this case.
- Freie Schlagwörter (DE)
- Bodenverflüssigung, numerische Modellierung, Finn-Byrne, UBC3D-PLM, Neurales Netzwerk, Fuzzy-Logik
- Freie Schlagwörter (EN)
- Liquefaction, Numerical modelling, Finn-Byrne, UBC3D-PLM, Neural network, Fuzzy logic
- Klassifikation (DDC)
- 624
- Normschlagwörter (GND)
- Bodenverflüssigung, Neuronales Netz, Fuzzy-Logik, Numerisches Modell, Modellierung, Rheologische Eigenschaft
- GutachterIn
- Prof. Dr. -Ing. Wolfram Kudla
- Prof. Dr. Ing. Stravros Savidis
- Prof. Dr. Ing. habil. Heinz Konietzky
- BetreuerIn
- Prof. Dr. -Ing. Wolfram Kudla
- Den akademischen Grad verleihende / prüfende Institution
- Technische Universität Bergakademie Freiberg, Freiberg
- URN Qucosa
- urn:nbn:de:bsz:105-qucosa-192304
- Veröffentlichungsdatum Qucosa
- 23.12.2015
- Dokumenttyp
- Dissertation
- Sprache des Dokumentes
- Englisch