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Damage detection and evaluation based on combined multi-property sensor networks and high-fidelity numerical system identification

Subject Area Applied Mechanics, Statics and Dynamics
Construction Material Sciences, Chemistry, Building Physics
Term since 2025
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 562815311
 
The main objective of the proposed research project is to couple mechanical and durability-indicating measurement data from structural monitoring (local) via numerical structural models (global) in order to derive condition indicators and intervention strategies for the structure. The methodological coupling of the mechanical and durability-indicating data of the multi-property sensor network in the highly parameterized numerical structural model thus allows an improved calibration (“twinning”) of the underlying, high-resolution finite element model. Based on this, a concept for a multi-criteria evaluation is developed and prototypically implemented, which enables the derivation of condition indicators for the structure and can thus serve as a basis for predictive maintenance management. In addition to the localization of damage, a classification can also be carried out automatically. This creates a single source of truth that serves as a basis for assessing the damage regarding structural safety. The following specific milestones are to be achieved: (a) Establishment of a multi-property sensor network for the coupled acquisition of mechanical and durability-indicating measurement variables. (b) Merging the different sensor information for a holistic assessment of the structural condition and increasing the information density for the numerical sensitivity analysis, both in terms of qualitative characteristics (damage type) and quantitative characteristics (stiffness loss). (c) Increasing the robustness and facilitating plausibility checks through combined multi-property sensor networks. (d) Validation of the newly developed numerical methods based on adjoint sensitivity analysis for coupling different measurement variables with the help of large-scale laboratory tests. (e) Creation of a single source of truth that enables damage classifications in order to assess damage in relation to structural safety and to derive significantly more precise recommendations for intervention through better knowledge of the specific causes of damage.
DFG Programme Priority Programmes
 
 

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