Analyzing Uncertainty in Civil Engineering

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fellin, Wolfgang (Επιμελητής έκδοσης), Lessmann, Heimo (Επιμελητής έκδοσης), Oberguggenberger, Michael (Επιμελητής έκδοσης), Vieider, Robert (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Θέματα: Engineering.; Geotechnical engineering.; Probabilities.; Statistics.; Mechanics.; Mechanics, Applied.; Quality control.; Reliability.; Industrial safety.; Engineering geology.; Engineering > Geology.; Foundations.; Hydraulics.; Quality Control, Reliability, Safety and Risk.; Geotechnical Engineering & Applied Earth Sciences.; Probability Theory and Stochastic Processes.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Theoretical and Applied Mechanics.; Geoengineering, Foundations, Hydraulics.

This volume addresses the issue of uncertainty in civil engineering from design to construction. Failures do occur in practice. Attributing them to a residual system risk or a faulty execution of the project does not properly cover the range of causes. A closer scrutiny of the adopted design, the en...

Πίνακας περιεχομένων:

• Assessment of characteristic shear strength parameters of soil and its implication in geotechnical design
• Ambiguity of safety definition in geotechnical models
• The fuzziness and sensitivity of failure probabilities
• The mathematics of uncertainty: models, methods and interpretations
• Multi-parameter models: rules and computational methods for combining uncertainties
• Sensitivity analysis
• Difficulties related to numerical predictions of deformations
• FE ultimate load analyses of pile-supported pipelines - tackling uncertainty in a real design problem
• The Implications of Geotechnical Model Uncertainty for Construction Management
• Fuzzy, probabilistic and stochastic modelling of an elastically bedded beam
• Queueing models with fuzzy data in construction management
• Fuzzy models in geotechnical engineering and construction management.