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14th International Probabilistic Workshop

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Robby Caspeele

    1. Department of Structural Engineering, Ghent University, Ghent, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  2. Luc Taerwe

    1. Department of Structural Engineering, Ghent University, Ghent, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  3. Dirk Proske

    1. Axpo Power AG, Döttingen, Switzerland

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  • Contains latest research developments in probability and statistics for engineering applications
  • Provides methods and tools for uncertainty quantification and modeling
  • Illustrates the application of reliability-based design and optimization
  • Includes supplementary material: sn.pub/extras

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xii
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  2. Keynotes

    1. Front Matter

      Pages 1-1
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    2. Optimizing Adaptable Systems for Future Uncertainty

      • D. Straub, O. Špačková
      Pages 3-13

    3. Freak Events, Black Swans, and Unknowable Unknowns: Impact on Risk-Based Design

      • M. A. Maes, M. R. Dann
      Pages 15-30

  3. Structural Reliability Methods and Statistical Approaches

    1. Front Matter

      Pages 31-31
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    2. Extrapolation, Invariance, Geometry and Subset Sampling

      • K. Breitung
      Pages 33-43

    3. Performance of Various Sampling Schemes in Asymptotic Sampling

      • M. Šmídová, M. Vořechovský
      Pages 45-61

    4. Moving Least Squares Metamodels—Hyperparameter, Variable Reduction and Model Selection

      • I. Reuter, M. Voigt, R. Mailach, K.-H. Becker, A. Fischersworring-Bunk, H. Schlums et al.
      Pages 63-80

    5. Comparing Three Methodologies for System Identification and Prediction

      • S. G. S. Pai, I. F. C. Smith
      Pages 81-95

    6. Global Sensitivity Analysis of Reinforced Concrete Walls Subjected to Standard Fire—A Comparison of Methods

      • M. Achenbach, T. Lahmer, G. Morgenthal
      Pages 97-106

  4. Probability and Statistics

    1. Front Matter

      Pages 107-107
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    2. Comparison of Computed and Observed Probabilities of Failure and Core Damage Frequencies

      • D. Proske
      Pages 109-122

    3. Probability of a Large Fire in a Road Tunnel Bayesian Inference

      • R. M. L. Nelisse, A. C. W. M. Vrouwenvelder
      Pages 123-134

    4. Statistical Extrapolation for Extreme Traffic Load Effect Estimation on Bridges

      • M. Nowak, D. Straub, O. Fischer
      Pages 135-153

  5. Uncertainty Quantification

    1. Front Matter

      Pages 155-155
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    2. Uncertainty Quantification for Force Identification and Response Estimation in Structural Dynamics

      • K. Maes, G. De Roeck, G. Lombaert
      Pages 157-174

    3. Uncertainty Quantification of Creep in Concrete by Taylor Series Expansion

      • P. Criel, R. Caspeele, S. Matthys, L. Taerwe
      Pages 175-188

    4. Uncertainty Quantification of Extrapolation Techniques for Bonded Anchors

      • J. Podroužek, J. Vorel, R. Wendner
      Pages 189-201

    5. Uncertainty Quantification Applied to a Fire-Exposed Glued-Laminated Timber Beam

      • A. I. Bartlett, D. Lange, J. Anderson, R. M. Hadden
      Pages 203-213

  6. Uncertainty Modelling

    1. Front Matter

      Pages 215-215
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Keywords

About this book

This book presents the proceedings of the 14th International Probabilistic Workshop that was held in Ghent, Belgium in December 2016. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.

Editors and Affiliations

  • Department of Structural Engineering, Ghent University, Ghent, Belgium

    Robby Caspeele, Luc Taerwe

  • Axpo Power AG, Döttingen, Switzerland

    Dirk Proske

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