Field application of smart SHM using field programmable gate array technology to monitor an RC bridge in New Mexico

• Published in: Smart materials and structures 2011-08, Vol.20 (8), p.085005-1-12
• Main Authors: Azarbayejani, M, Jalalpour, M, El-Osery, A I, Reda Taha, M M
• Format: Article
• Language: English
• Subjects: Applied sciences; Bridges (structures); Building structure; Buildings. Public works; Computer simulation; Construction (buildings and works); Damage; Electronics; Exact sciences and technology; Field programmable gate arrays; Fundamental areas of phenomenology (including applications); Infrastructure; Integrated circuits; Integrated circuits by function (including memories and processors); Measurement and testing methods; Measurements. Technique of testing; Monitors; Physics; Reinforced concrete; Reinforced concrete structure; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices; Solar power generation; Solid mechanics; Structural and continuum mechanics
• ISSN: 0964-1726; 1361-665X
• DOI: 10.1088/0964-1726/20/8/085005

In this paper, an innovative field application of a structural health monitoring (SHM) system using field programmable gate array (FPGA) technology and wireless communication is presented. The new SHM system was installed to monitor a reinforced concrete (RC) bridge on Interstate 40 (I-40) in Tucumcari, New Mexico. This newly installed system allows continuous remote monitoring of this bridge using solar power. Details of the SHM component design and installation are discussed. The integration of FPGA and solar power technologies make it possible to remotely monitor infrastructure with limited access to power. Furthermore, the use of FPGA technology enables smart monitoring where data communication takes place on-need (when damage warning signs are met) and on-demand for periodic monitoring of the bridge. Such a system enables a significant cut in communication cost and power demands which are two challenges during SHM operation. Finally, a three-dimensional finite element (FE) model of the bridge was developed and calibrated using a static loading field test. This model is then used for simulating damage occurrence on the bridge. Using the proposed automation process for SHM will reduce human intervention significantly and can save millions of dollars currently spent on prescheduled inspection of critical infrastructure worldwide.