04168nas a2200385 a 4500 20260818090109.0 260202s20259999th u ms t 000 eng d .b12474228 AIT Thesis no.ST-25-24 Marghoob, Muhammad Abdur Rahman Design and development of a smart structural ambient vibration monitoring system Pathum Thani, Thailand : Asian Institute of Technology, 2025 82 leaves : ill.+ 1 online resource Thesis ; no. ST-25-24 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Structural Engineering Thesis (M. Eng.) - Asian Institute of Technology, 2025 This thesis presents the design and development of a low-cost smart structural ambient vibration monitoring system that integrates open-hardware sensing, finite element modelling (FEM), and optimal sensor placement for structural health monitoring of civil structures. The sensing unit is based on a 4.5 Hz horizontal geophone combined with a custom low-noise analogue front-end, an ADS1263 32-bit delta-sigma ADC converter, and a Raspberry Pi 4B for data acquisition, on-board processing, and wireless communication. Hardware performance is validated through shake-table experiments against a commercial Raspberry Shake instrument, showing very close agreement in identified peak frequencies, with 0% deviation. Ambient vibration tests further demonstrate that the proposed sensor achieves root-mean square velocity noise levels of only a few micrometers per second in the 0.1-40 Hz band, confirming its suitability for low-amplitude structural monitoring.On the algorithmic side, a real-time sensor placement and re-optimization framework based on the Effective Independence (EFI) method is implemented. The EFI procedure uses the Fisher Information Matrix and is evaluated with entropy and condition number metrics when reference mode shapes are available. This framework is embedded in a 3D FEM and BIM interface, allowing users to visualize structural models, assign and update sensor locations, stream live data, and view mode shapes extracted using operational modal analysis. A feedback mechanism identifies poorly performing sensors, such as channels with low SNRs and recommends alternative locations using updated mode shapes and information metrics.Three numerical case studies, consisting of a simply supported beam and an irregular two dimensional, are used to verify the EFI implementation and the adaptive re-optimization logic. For the beam, MAC values above 0.97 are obtained between FEM and identified modes. The frame achieves similar values close to unity for three target modes. Experimental validation on a laboratory steel frame confirms that the combined hardware and software platform can reliably capture low-frequency ambient vibrations and maintain good observability of target modes through adaptive sensor configuration. Overall, the results indicate that the proposed smart ambient vibration monitoring system is a practical and cost-effective tool for real-time structural health monitoring and research applications. Intelligent sensors Design and construction Vibration Data processing Krishna, Chaitanya, Chairperson Pennung Warnitchai, Examination Committee Punchet Thammarak, Examination Committee Panon Latcharote, Examination Committee Computers and Structures Inc. (CSI), USA, Scholarship Donor AIT Scholarship, Scholarship Donor Asian Institute of Technology. Thesis ; no. ST-25-24 Full-Text http://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B23430 .b12474228 mnarc a 260210 0 260206 m h a 0 mnarc 67 Barcode : - CREATED : 2026-02-02 RECORD # : i1357081x LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 26879 26879 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.ST-25-24 2026-08-18 09:01:09 1 2026-08-18 67