Task Description: Distributed fiber optic sensing (DFOS) for strain, temperature, or vibration along fiber optic cables spanning many kilometers provide benefits for large-scale pipeline systems with the use of a single cable. Wireless sensor networks (WSN) are a well-established technology and can measure strain, temperature, pressure, and changes in geometric orientation.
Embedded sensing monitoring technologies will be deployed at a demonstration site located in Gilroy, California, along the Calaveras fault, a major fault of the San Andreas fault system. The complexity of the site with fault creep, active landslide zones, and slip behavior is documented in research. The embedded sensing technologies will provide site-specific data which will enable assessment with medium uncertainty (Level 3). Furthermore, detailed sensing of specific pipelines at this site will provide data with the least uncertainty (Level 4) that can be used to assess the pipeline’s performance.
Embedded sensing technologies will also be used in a large-scale laboratory environment, where a split-basin tank device will be used to bring a buried pipeline to failure. The relative displacement of the split-basin replicates severe ground deformation along the margins of liquefaction-induced lateral spreads and landslides, and the soil rupture induces tensile and bending strains in the pipeline. This testing data with the least uncertainty (Level 4) is used to determine the capacity of a pipeline's performance.
Lead Investigators: Kenichi Soga (UC Berkeley), Linqing Luo (LBNL), Yuxin Wu (LBNL)
Team Members: Tianchen Xu (UC Berkeley), Yuanjie "Jimmy" Shen (UC Berkeley), Chien Chih "James" Wang (UC Berkeley), Shih-Hung Chiu (UC Berkeley), Rui Tao (UC Berkeley)
