Given the large number of existing bridges and overpasses across the state of California, conventional visual inspection of those bridges affected by a moderate or large amplitude earthquake can take several days. This project aims to apply the Wave method for post-earthquake rapid structural identification and damage detection of bridges. While successful proof of concept study applications in building structures were presented by author, this project will evaluate the performance of the Wave method on the bridges comprising low-density sensor arrays (i.e., accelerometers). Moreover, this study identifies challenges in using the wave-based identification algorithm for bridges compared to buildings and ultimately, enhances the method to be used as a robust and state-of-the-art rapid damage assessment technique for bridges. Such a rapid damage assessment can facilitate emergency response in large cities through an early warning for unsafe routes soon after a destructive event. Likewise, it would help prevent or reduce monetary loss due to unnecessary closure of a safe bridge, and consequently, help build smarter and more resilient cities.
California State University, Long Beach