A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Fuzzy‐Neural Network Method for Modeling Uncertainties in Soil‐Structure Interaction Problems
Abstract: Uncertainty often recurs in structural system characterization as well as in choosing the mechanical model and in calibrating it. When analyzing a structure founded in cohesionless soils, the uncertainty in system modeling comes from soil inherent variability, site conditions, construction tolerance, and failure mechanisms. In this research, a Fuzzy‐Neural Network method to predict the behavior of structures built on complex cohesionless soils is proposed. The method is based on an Artificial‐Neural Network (ANN) for modeling the soil‐foundation interaction. Its learning process analyzes over 200 records of building foundations, tanks, and embankments settlements on sand and gravel. Once validated, ANN is introduced in the soil‐foundation‐sovrastructure interaction model. Using fuzzy sets to define vague and ambiguous variables, the Fuzzy‐Neural Network method predicts the system behavior and quantifies the uncertainty of its response. A numerical example shows the method effectiveness in the case of uncertainty in soil parameters and gives suggestions for successive applications.
A Fuzzy‐Neural Network Method for Modeling Uncertainties in Soil‐Structure Interaction Problems
Abstract: Uncertainty often recurs in structural system characterization as well as in choosing the mechanical model and in calibrating it. When analyzing a structure founded in cohesionless soils, the uncertainty in system modeling comes from soil inherent variability, site conditions, construction tolerance, and failure mechanisms. In this research, a Fuzzy‐Neural Network method to predict the behavior of structures built on complex cohesionless soils is proposed. The method is based on an Artificial‐Neural Network (ANN) for modeling the soil‐foundation interaction. Its learning process analyzes over 200 records of building foundations, tanks, and embankments settlements on sand and gravel. Once validated, ANN is introduced in the soil‐foundation‐sovrastructure interaction model. Using fuzzy sets to define vague and ambiguous variables, the Fuzzy‐Neural Network method predicts the system behavior and quantifies the uncertainty of its response. A numerical example shows the method effectiveness in the case of uncertainty in soil parameters and gives suggestions for successive applications.
A Fuzzy‐Neural Network Method for Modeling Uncertainties in Soil‐Structure Interaction Problems
Provenzano, P. (author)
Computer‐Aided Civil and Infrastructure Engineering ; 18 ; 391-411
2003-11-01
21 pages
Article (Journal)
Electronic Resource
English
A Fuzzy-Neural Network Method for Modeling Uncertainties in Soil-Structure Interaction Problems
| Online Contents | 2003
| British Library Conference Proceedings | 2001
Uncertainties in soil-structure interaction
| British Library Conference Proceedings | 1993