Optimal inspection, monitoring and maintenance of (civil) engineering systems
Abstract
Maintenance is key to achieving sustainable engineering systems with safe performance. As is common in engineering, much of the current practices in inspection and maintenance are the result of legacy experience, carefully adjusted based on past evidence. This has led to mostly safe but not necessarily optimal strategies. As an alternative, optimization of inspection and maintenance based on predictive modeling of the systems’ deterioration and performance has been pursued since the 1970s. In this talk, I will first summarize and discuss the fundamental principles of predictive modeling and optimization of inspection and maintenance. I will show how research and application of these methods have developed over the past 50 years and discuss the successes and challenges of these methods. I will then focus on current trends and research, which include the use of monitoring data for optimal maintenance decisions, the use of more advanced AI for prediction and optimization and the extension to optimizing maintenance actions at the portfolio or network level.
Throughout the talk, I will illustrate the concepts and methods using examples of civil engineering applications.
Short bio
Daniel Straub is a Professor for engineering risk and reliability analysis at TU München. His interest is in developing physics-based stochastic models and methods for the decision support and safety assessment of engineering systems, with a particular focus on Bayesian techniques. Daniel obtained his Dipl.-Ing. degree in civil engineering in 2000 and his PhD in 2004 from ETH Zürich. Consequently, he was a postdoc and adjunct faculty member at UC Berkeley before joining TU München in 2009. He is frequently active as a consultant to the industry on reliability and risk assessments and decision-making under uncertainty. In 2023, his work was awarded the C. Allen Cornell award, which is bestowed every 4 years by the Civil Engineering Risk and Reliability Association to an individual in recognition of outstanding contributions to the science and application of risk and reliability theory to civil engineering.
https://www.cee.ed.tum.de/era
Maintenance is key to achieving sustainable engineering systems with safe performance. As is common in engineering, much of the current practices in inspection and maintenance are the result of legacy experience, carefully adjusted based on past evidence. This has led to mostly safe but not necessarily optimal strategies. As an alternative, optimization of inspection and maintenance based on predictive modeling of the systems’ deterioration and performance has been pursued since the 1970s. In this talk, I will first summarize and discuss the fundamental principles of predictive modeling and optimization of inspection and maintenance. I will show how research and application of these methods have developed over the past 50 years and discuss the successes and challenges of these methods. I will then focus on current trends and research, which include the use of monitoring data for optimal maintenance decisions, the use of more advanced AI for prediction and optimization and the extension to optimizing maintenance actions at the portfolio or network level.
Throughout the talk, I will illustrate the concepts and methods using examples of civil engineering applications.
Short bio
Daniel Straub is a Professor for engineering risk and reliability analysis at TU München. His interest is in developing physics-based stochastic models and methods for the decision support and safety assessment of engineering systems, with a particular focus on Bayesian techniques. Daniel obtained his Dipl.-Ing. degree in civil engineering in 2000 and his PhD in 2004 from ETH Zürich. Consequently, he was a postdoc and adjunct faculty member at UC Berkeley before joining TU München in 2009. He is frequently active as a consultant to the industry on reliability and risk assessments and decision-making under uncertainty. In 2023, his work was awarded the C. Allen Cornell award, which is bestowed every 4 years by the Civil Engineering Risk and Reliability Association to an individual in recognition of outstanding contributions to the science and application of risk and reliability theory to civil engineering.
https://www.cee.ed.tum.de/era
Practical information
- Informed public
- Free
Organizer
- Prof. Olga Fink (IMOS), Prof. Alexandre Alahi (VITA), Prof. Dusan Licina (HOBEL), Prof. Alain Nussbaumer (RESSLab)
Contact
- Olga Fink