16 Empirical Models for the Health Monitoring of High-Rise Buildings: The Case of Palazzo Lombardia 175 References 1. Cigada, A., Mola, E., Mola, F., Stella, G., Vanali, M.: Dynamic behavior of the palazzo Lombardia tower : comparison of numerical models and experimental results. J. Perform. Constr. Facil. 28(3), 491–501 (2014). https://doi.org/10.1061/(ASCE)CF.1943-5509.0000431 2. Busca, G., Cigada, A., Mola, E., Mola, F., Vanali, M.: Dynamic testing of a helicopter landing pad: comparison between operational and experimental approach. J. Civ. Struct. Heal. Monit. 4, 133–147 (2014) 3. Berardengo, M., Busca, G., Grossi, S., Manzoni, S., Vanali, M.: The monitoring of palazzo Lombardia in Milan. Shock Vib. 2017, 8932149 (2017). https://doi.org/10.1155/2017/8932149 4. Berardengo, M., Cigada, A., Manzoni, S., Vanali, M.: Design and Installation of a Permanent Monitoring System for Palazzo Lombardia in Milano, Italy. In: VII European Congress on Computational Methods in Applied Sciences and Engineering – ECCOMAS Congress 2016 – 5–10 June 2016, ISBN: 9786188284401, Crete Island (Greece), pp. 3640–3651 (2016). https://doi.org/10.7712/100016.2062.9244 5. Devriendt, C., Presezniak, F., De Sitter, G., Vanbrabant, K., De Troyer, T., Vanlanduit, S., Guillaume, P.: Structural health monitoring in changing operational conditions using tranmissibility measurements. Shock Vib. 17, 651–675 (2010). https://doi.org/10.3233/SAV-2010-0556 6. Zhu, X., Hao, H.: Development of an integrated structural health monitoring system for bridge structures in operational conditions. Front. Struct. Civ. Eng. 6, 321–333 (2012). https://doi.org/10.1007/s11709-012-0161-y 7. Ubertini, F., Gentile, C., Materazzi, A.L.: Automated modal identification in operational conditions and its application to bridges. Eng. Struct. 46, 264–278 (2013). https://doi.org/10.1016/j.engstruct.2012.07.031 8. Rainieri, C., Fabbrocino, G.: Operational Modal Analysis of Civil Engineering Structures. Springer, New York (2014) 9. Peeters, B., Van Der Auweraer, H., Guillaume, P., Leuridan, J.: The PolyMAX frequency-domain method : a new standard for modal parameter estimation? Shock Vib. 11, 395–409 (2004). https://doi.org/10.1155/2004/523692 10. Brincker, R., Zhang, L., Andersen, P.: Modal identification of output-only systems using frequency domain decomposition. Smart Mater. Struct. 10, 441–445 (2001) 11. Brandt, A.: Noise and Vibration Analysis – Signal Analysis and Experimental Procedures. Wiley, Chichester (2011) 12. Shi, H., Worden, K., Cross, E.J.: A regime-switching cointegration approach for removing environmental and operational variations in structural health monitoring. Mech. Syst. Signal Process. 103, 381–397 (2018). https://doi.org/10.1016/j.ymssp.2017.10.013 13. Bull, L.A., Rogers, T.J., Wickramarachchi, C., Cross, E.J., Worden, K., Dervilis, N.: Probabilistic active learning: an online framework for structural health monitoring. Mech. Syst. Signal Process. 134, 106294 (2019). https://doi.org/10.1016/j.ymssp.2019.106294 14. Sen, D., Erazo, K., Zhang, W., Nagarajaiah, S., Sun, L.: On the effectiveness of principal component analysis for decoupling structural damage and environmental effects in bridge structures. J. Sound Vib. 457, 280–298 (2019). https://doi.org/10.1016/j.jsv.2019.06.003 15. Wah, W.S.L., Owen, J.S., Chen, Y.T., Elamin, A., Roberts, G.W.: Removal of masking effect for damage detection of structures. Eng. Struct. 183, 646–661 (2019). https://doi.org/10.1016/j.engstruct.2019.01.005 16. Montgomery, D.: Design and Analysis of Experiments, 7th edn. Wiley, New York (2009)
RkJQdWJsaXNoZXIy MTMzNzEzMQ==