Data-informed Decisions for Structures and Infrastructures

The Focus Group “Data-informed Decisions for Structures and Infrastructures” comprises as principal investigators Hans Fischer Fellow Prof. Eleni Chatzi (ETH Zürich) and her host Prof. Daniel Straub (TUM).

Adverse operational conditions, aging and deterioration are, among others, some of the main threats that structures and infrastructure systems are subjected to  throughout their life-cycle. The technological advancements in developing sensors, capable of providing diversified measurements of structural response (e.g. accelerations, strains, temperatures, loads, etc), have lead to vast scientific and practical developments in the field of Structural Health Monitoring (SHM). Various techniques for translating the raw measurement data into indicators of structural “health” have been made readily available.

Despite these technological advancements, visual inspection still remains the primary, and oftentimes sole, means for condition-based assessment, in the current approach to infrastructure operation and maintenance. SHM systems may be exploited as a complementary source of information on the condition of a system and may serve for supporting decisions regarding the management of infrastructures throughout their life-cycle. However, it is currently difficult to quantify the effect of SHM on optimal operation and maintenance and hence on the total life-cycle cost. The goal of the Focus Group’s project is the development of a framework, which employs efficient methods and tools, able to quantify and optimize the Value of Information (VoI) from the SHM systems.

Figure 1: Influence diagram of the SHM analysis process as presented in: Straub, Chatzi, Bismut et al. (2017). Value of information: A roadmap to quantifying the benefit of structural health monitoring. ICOSSAR – 12th International Conference on Structural Safety.
 

TUM-IAS funded doctoral candidate:
Antonis Kamariotis, Engineering Risk Analysis Group

Publications by the Focus Group

2022

  • Kamariotis, Antonios; Chatzi, Eleni; Straub, Daniel: Value of information from vibration-based structural health monitoring extracted via Bayesian model updating. Mechanical Systems and Signal Processing 166, 2022, 108465 more…
  • Kamariotis, Antonios; Chatzi, Eleni; Straub, Daniel: A framework for quantifying the value of vibration-based structural health monitoring. , 2022 more…

2021

  • Kamariotis, A., Chatzi, E., Straub, D.: Value of Information from SHM via estimating deterioration jump processes with particle filtering. (Talk) 2021 more…
  • Kamariotis, A., Chatzi, E., Straub, D.: SHMC Student Competition Paper + Conference Presentation:, Value of Information from SHM via estimating deterioration jump processes with particle filtering. (Talk) 2021 more…
  • Kamariotis, Antonios; Chatzi, Eleni; Straub, Daniel: Value of information from vibration-based structural health monitoring extracted via Bayesian model updating. 2021 more…

2020

  • Kamariotis, A., Straub, D., Chatzi, E.: Conference Proceedings Chapter + Conference Presentation: Optimal maintenance decisions supported by SHM: A benchmark study. (Talk) 2020 more…
  • Kamariotis, A., Straub, D., Chatzi, E. : Optimal maintenance decisions supported by SHM: A benchmark study. (Talk) 2020 more…