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Fall 2015
Structural Health Monitoring (SHM) is a rapidly developing field, which is expected to play an important role in management of infrastructure systems by providing critical information about the structural changes or damage in the structure under monitoring. Among the different components of SHM
, data analysis methods and damage detection algorithms are widely considered among the most critical components. For real life applications, the effects of operational and environmental factors on the damage detection process should be appropriately considered since these effects can mask structural
), which detect structural damage. Numerical and experimental case studies are employed for verification of the methodology. First, a numerical study of a 4-DOF spring mass system and the IASC-ASCE (International Association of Structural Control; American Society of Civil Engineers) numerical benchmark