PSI - Issue 64

Vera Rillo et al. / Procedia Structural Integrity 64 (2024) 700–707 Rillo et al./ Structural Integrity Procedia 00 (2019) 000 – 000

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Fig.6. Sensor layout for a future structural health monitoring.

4. Conclusions Structural health monitoring is a very important tool for the management of bridges; in fact, through the continuous monitoring it is possible to assess the presence and extent of damage. Designing an effective Structural Health Monitoring system necessitates informed decisions regarding numerous system specifications, encompassing sensor type, quantity, placement, as well as data transfer, storage, and analysis methodologies. When few sensors are available a study to find the most effective sensor locations providing the best target information is a key issue. In this paper, three well-known optimal sensor placement techniques available in literature are applied to rank the sensors with reference to a selected case study. The target modes are selected from a preliminary Finite Element (FE) model and an optimal criterion based on Modal Assurance Criterion (MAC) between the exact and interpolated mode shapes is adopted to derive the best sensor layout. The methodology applied to the proposed case study allowed the design of the best sensors layout to let the future monitoring system gather the most effective information from in-situ monitoring to detect the health state. Kammer, D.C. Sensor placement for on-orbit modal identification and correlation of large space structures. J. Guid. Control. Dyn. 1991, 14, 251 – 259. Chang M, Pakzad SN (2014) Optimal sensor placement for modal identification of bridge systems considering number of sensing nodes. Journal of Bridge Engineering 19(6): 04014019. Yang Y, Chadha M, Hu Z, Todd MD (2022) An optimal sensor placement design framework for structural health monitoring using Bayes risk. ech. Syst. Signal Process., 168, 108618. Yi TH, Li H-N, Gu M (2011) A new method for optimal selection of sensor location on a high-rise building using simplified finite element model, Struct. Eng. Mech. 37 (6), 671 – 684. Flynn EB, Todd MD (2010) A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing, Mech. Syst. Signal Process. 24 (4), 891 – 903. He L, Lian J, Ma B, Wang H (2014) Optimal multiaxial sensor placement for modal identification of large structures, Struct. Control Health Monit. 21, 61 – 79. Hassani, S.; Dackermann, U. A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement. Sensors 2023, 23, 3293. Minwoo Chang, S.M.ASCE1; and Shamim N. Pakzad, A.M.ASCE Optimal Sensor Placement for Modal Identification of Bridge Systems Considering Number of Sensing Nodes. 2014 ARTeMIS Modal. Ambient Response Testing and Modal Identification Software. Ver-sion: 6.0.2.0 – x64. Developed by: Structural Vibration Solutions A/S. Novi Science Park, Niels Jernes Vej 10, DK-9220 Aalborg East, Denmark, Copyright © 1999-2019. R., Brincker, L., Zhang, P., Andersen. Modal Identification of Output-Only Systems us-ing Frequency Domain Decomposition. Smart Materials and Structures 2001, 10(3), 441-445. Computers and Structures. SAP2000 Version 18; Computers and Structures: Walnut Creek, CA, USA, 2016. MATLAB R2022b. The MathWorks, Inc SVS 2019. ARTeMIS modal. Ambient Response Testing and Modal Identification Software. Version: 6.0.2.0 – x64 Novi Science Park, Niels Jernes Vej 10, DK-9220 Aalborg East, Denmark, Copyright © 1999-2019..http://www.svibs.com/. RJ., Allemang, DL., Brown, A correlation coefficient for modal vector analysis. In: Proceedings of the 1st International Modal Analysis Conference, USA: Orlando, 1982. p. 110 – 116. Rillo V, De Angelis A, Maddaloni G A framework to define an effective structural health monitoring (SHM) system using the data from OMA test. In: 10Th International Operational Modal Analysis Conference, 31-24May 2024, Naples, Italy. Chioccarelli, E., Giunta, D., De Angelis, A., & Bilotta, A. (2024). Discussing optimal sensor placement for ambient vibration test of an existing bridge. Engineering Structures, 310, 118000. References