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Engineering and Technology

D-Index
51
Citations
9633
World Ranking
3872
National Ranking
122

Overview

Daniel Straub is affiliated with the Technical University of Munich in Germany. Their research primarily focuses on engineering and decision sciences, with an emphasis on topics related to probabilistic and robust engineering design, reliability and maintenance optimization, and structural health monitoring techniques.

The scientist's work spans several subfields including statistics, probability and uncertainty, civil and structural engineering, safety, risk, reliability and quality, statistics and probability, as well as mechanics of materials. This multidisciplinary approach reflects in the range of their recent research outputs and collaborations.

Daniel Straub has contributed to numerous publications, with a notable presence in several key academic venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • Structural Safety
  • Reliability Engineering & System Safety
  • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
  • Mechanical Systems and Signal Processing

Recent papers authored or co-authored by Daniel Straub highlight advances in structural health monitoring, reliability analysis, and Bayesian model updating. Selected works include:

  • Value of information from vibration-based structural health monitoring extracted via Bayesian model updating, 2021, Mechanical Systems and Signal Processing
  • A framework for quantifying the value of vibration-based structural health monitoring, 2022, Mechanical Systems and Signal Processing
  • Combination line sampling for structural reliability analysis, 2020, Structural Safety
  • Variance-based reliability sensitivity analysis and the FORM α-factors, 2021, Reliability Engineering & System Safety
  • Bayesian post-processing of Monte Carlo simulation in reliability analysis, 2022, Reliability Engineering & System Safety

The scientist collaborates frequently with several researchers. Common co-authors include:

  • Iason Papaioannou
  • Eleni Chatzi
  • Max Ehre
  • Antonios Kamariotis
  • Elizabeth Bismut

Daniel Straub's research interest also covers areas such as infrastructure maintenance and monitoring, concrete corrosion and durability, risk and safety analysis, and fatigue and fracture mechanics. This broad thematic scope supports a data-driven and probabilistic approach to engineering challenges.

Best Publications

  • MCMC algorithms for Subset Simulation

    Iason Papaioannou;Wolfgang Betz;Kilian Zwirglmaier;Daniel Straub

  • Bayesian Updating with Structural Reliability Methods

    Daniel Straub;Iason Papaioannou

  • Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion

    Wolfgang Betz;Iason Papaioannou;Daniel Straub

  • Risk based inspection planning for structural systems

    Daniel Straub;Michael Havbro Faber

  • Stochastic Modeling of Deterioration Processes through Dynamic Bayesian Networks

    Daniel Straub

  • Sequential importance sampling for structural reliability analysis

    Iason Papaioannou;Costas Papadimitriou;Daniel Straub

  • Improved seismic fragility modeling from empirical data

    Daniel Straub;Armen Der Kiureghian

  • Value of information analysis with structural reliability methods

    Daniel Straub

  • Bayesian Network Enhanced with Structural Reliability Methods: Methodology

    Daniel Straub;Daniel Straub;Armen Der Kiureghian;Armen Der Kiureghian

  • Generic Approaches to Risk Based Inspection Planning for Steel Structures

    Daniel Straub

  • Spatially explicit avalanche risk assessment linking Bayesian networks to a GIS

    Adrienne Grêt-Regamey;Daniel Straub

  • Reliability updating with equality information

    Daniel Straub

  • Efficient Bayesian network modeling of systems

    Michelle Bensi;Armen Der Kiureghian;Daniel Straub

  • Transitional Markov Chain Monte Carlo: Observations and Improvements

    Wolfgang Betz;Iason Papaioannou;Daniel Straub

  • Reliability and effectiveness of early warning systems for natural hazards: concept and application to debris flow warning

    Martina Sättele;Michael Bründl;Daniel Straub

  • Natural hazards risk assessment using Bayesian networks

    D. Straub

  • A framework for quantifying the value of vibration-based structural health monitoring

    Unknown

  • Bayesian updating of slope reliability in spatially variable soils with in-situ measurements

    Shui-Hua Jiang;Shui-Hua Jiang;Iason Papaioannou;Iason Papaioannou;Daniel Straub;Daniel Straub

  • Reliability updating in geotechnical engineering including spatial variability of soil

    Iason Papaioannou;Daniel Straub

  • Reliability analysis and updating of deteriorating systems with dynamic Bayesian networks

    Jesus Luque;Daniel Straub

  • Bayesian Network Enhanced with Structural Reliability Methods: Application

    Daniel Straub;Daniel Straub;Armen Der Kiureghian;Armen Der Kiureghian

Frequent Co-Authors

Michael Havbro Faber
Michael Havbro Faber Aalborg University
Armen Der Kiureghian
Armen Der Kiureghian University of California, Berkeley
John Dalsgaard Sørensen
John Dalsgaard Sørensen Aalborg University
Michael Krautblatter
Michael Krautblatter Technical University of Munich
Eleni Chatzi
Eleni Chatzi ETH Zurich
Hyun-Joong Kim
Hyun-Joong Kim Seoul National University
Isabell M. Welpe
Isabell M. Welpe Technical University of Munich
Carmen Andrade
Carmen Andrade International Center for Numerical Methods in Engineering
Junho Song
Junho Song Seoul National University

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