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.
Kamariotis, Antonios; Tatsis, Konstantinos; Chatzi, Eleni; Goebel, Kai; Straub, Daniel: A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance. Reliability Engineering & System Safety 242, 2024, 109723 mehr…
2023
Kamariotis, Antonios; Chatzi, Eleni: Bayesian decision-theoretic model selection for monitored systems. , 2023 mehr…
Kamariotis, Antonios; Chatzi, Eleni; Straub, Daniel: A framework for quantifying the value of vibration-based structural health monitoring. Mechanical Systems and Signal Processing 184, 2023, 109708 mehr…
Kamariotis, Antonios; Sardi, Luca; Papaioannou, Iason; Chatzi, Eleni; Straub, Daniel: On off-line and on-line Bayesian filtering for uncertainty quantification of structural deterioration. Data-Centric Engineering 4, 2023 mehr…
2022
A. Kamariotis, E. Chatzi, and D. Straub: The effect of the likelihood function on the value of SHM extracted via sequential Bayesian updating. Proceedings of ICOSSAR 2021-2022, 13th International Conference on Structural Safety & Reliability., 2022 mehr…
KAMARIOTIS, ANTONIOS; CHATZI, ELENI; STRAUB, DANIEL: QUANTIFYING THE VALUE OF VIBRATION-BASED STRUCTURAL HEALTH MONITORING CONSIDERING ENVIRONMENTAL VARIABILITY. Proceedings of the 13th International Workshop on Structural Health Monitoring, Destech Publications, Inc., 2022 mehr…
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 mehr…
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 mehr…
Kamariotis, Antonios; Chatzi, Eleni; Straub, Daniel: A framework for quantifying the value of vibration-based structural health monitoring. , 2022 mehr…
Kamariotis, Antonios; Sardi, Luca; Papaioannou, Iason; Chatzi, Eleni N.; Straub, Daniel: A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters. In: Model Validation and Uncertainty Quantification, Volume 3. Springer International Publishing, 2022 mehr…
2021
Kamariotis, A., Chatzi, E., Straub, D.: Value of Information from SHM via estimating deterioration jump processes with particle filtering. (Vortrag) 2021 mehr…
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. (Vortrag) 2021 mehr…
Kamariotis, Antonios; Chatzi, Eleni; Straub, Daniel: Value of information from vibration-based structural health monitoring extracted via Bayesian model updating. 2021 mehr…
2020
Kamariotis, A., Straub, D., Chatzi, E.: Conference Proceedings Chapter + Conference Presentation: Optimal maintenance decisions supported by SHM: A benchmark study. (Vortrag) 2020 mehr…
Kamariotis, A., Straub, D., Chatzi, E. : Optimal maintenance decisions supported by SHM: A benchmark study. (Vortrag) 2020 mehr…
