TY - CONF A1 - Baeßler, Matthias A1 - Hille, Falk A2 - Powers, N. A2 - Frangopol, D. T1 - A study on diverse strategies for discriminating environmental from damage based variations in monitoring data T2 - Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges N2 - Right from the beginning of applying SHM to bridge structures it was obvious that environmental based perturbations on the measurement significantly influence the ability to identify structural damage. Strategies are needed to classify such effects and consider them appropriately in SHM. Various methods have been developed and analyzed to separate environmental based effects from damage induced changes in the measures. Generally, two main approaches have emerged from research activity in this fields: (a) statistics based tools analyzing patterns in the data or in computed parameters and (b) methods, utilizing the structural model of the bridge taking into account environmental as well as damage based changes of stiffness values. With the back-ground of increasing affordability of sensing and computing technology, effort should be made to increase sensitivity, reliability and robustness of procedures, separating environmental from damage caused changes in SHM measures. The contribution describes both general strategies and points out their Advantages and drawbacks. As basis, a review on relevant methods was conducted. The aim of the study is to classify approaches for separating damage describing information from environmental based perturbations in dependency of the SHM objective. And such, it is intended to describe a best practice in designing concepts for Monitoring infrastructure, naturally effected by environmental influences. PB - CRC Press T2 - IABMAS CY - Melbourne, Australia DA - 09.07.2018 KW - SHM KW - Environmental changes KW - temperature PY - 2018 UR - https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/46059 AN - OPUS4-46059 SN - 978-1-138-73045-8 SP - 1557 EP - 1564 AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany