TY - JOUR
T1 - Challenges Related to Probabilistic Decision Analysis for Bridge Testing and Reclassification
AU - Schmidt, Jacob Wittrup
AU - Thöns, Sebastian
AU - Kapoor, Medha
AU - Christensen, Christian Overgaard
AU - Engelund, Svend
AU - Sørensen, John Dalsgaard
PY - 2020
Y1 - 2020
N2 - This paper reviews historical developments and recent challenges in full scale bridge testing and introduces results- and hypotheses related to an ongoing bridge testing research project. This research project encompasses full scale bridge testing in conjunction with bearing capacity analysis as well as related contact- and non-contact monitoring procedures combined with a decision analytical approach. Results from the first steps of the project, focusing on full scale load testing of bridges, are presented. The next part approaches the interfaces between three project areas namely the bearing capacity analysis, the utilization of monitoring procedures and a decision analytical approach. The proposed probabilistic decision analysis approach is described for two scenarios: (1) The decision support for the actual proof load test providing decision rules for a safe and efficient in-situ test and (2) for the identification of efficient strategies for the bridge reclassification accounting for modeling, simulation, and monitoring information. The paper concludes with a summary highlighting deemed challenges in the used approaches.
AB - This paper reviews historical developments and recent challenges in full scale bridge testing and introduces results- and hypotheses related to an ongoing bridge testing research project. This research project encompasses full scale bridge testing in conjunction with bearing capacity analysis as well as related contact- and non-contact monitoring procedures combined with a decision analytical approach. Results from the first steps of the project, focusing on full scale load testing of bridges, are presented. The next part approaches the interfaces between three project areas namely the bearing capacity analysis, the utilization of monitoring procedures and a decision analytical approach. The proposed probabilistic decision analysis approach is described for two scenarios: (1) The decision support for the actual proof load test providing decision rules for a safe and efficient in-situ test and (2) for the identification of efficient strategies for the bridge reclassification accounting for modeling, simulation, and monitoring information. The paper concludes with a summary highlighting deemed challenges in the used approaches.
KW - Load testing
KW - Bridge reclassification
KW - Decision analysis
KW - Probabilistic analysis
KW - Bridges
KW - Load testing
KW - Bridge reclassification
KW - Decision analysis
KW - Probabilistic analysis
KW - Bridges
UR - https://orbit.dtu.dk/en/publications/e17c0e8c-3706-426d-b069-d5bdbd951838
U2 - 10.3389/fbuil.2020.00014
DO - 10.3389/fbuil.2020.00014
M3 - Journal article
SN - 2297-3362
VL - 6
JO - Frontiers in Built Environment Front. Built Environ.
JF - Frontiers in Built Environment Front. Built Environ.
IS - February
M1 - 14
ER -