On Modeling an Innovative Monitoring Network for Protecting and Managing Cultural Heritage from Risk Events

Abstract:

In this paper the model of an Innovative Monitoring Network involving properly connected nodes to develop an Information and Communication Technology (ICT) solution for preventive maintenance of historical centres from early warnings is proposed. It is well known that the protection of historical centres generally goes from a large-scale monitoring to a local one and it could be supported by a unique ICT solution. More in detail, the models of a virtually organized monitoring system could enable the implementation of automated analyses by presenting various alert levels. An adequate ICT solution tool would allow to define a monitoring network for a shared processing of data and results. Thus, a possible retrofit solution could be planned for pilot cases shared among the nodes of the network on the basis of a suitable procedure utilizing a retrofit catalogue. The final objective would consist in providing a model of an innovative tool to identify hazards, damages and possible retrofit solutions for historical centres, assuring an easy early warning support for stakeholders. The action could proactively target the needs and requirements of users, such as decision makers responsible for damage mitigation and safeguarding of cultural heritage assets.

• Periodical: Key Engineering Materials (Volume 628)
• Pages: 243-249
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.628.243
• Online since: August 2014
• Authors: Leonarda Carnimeo*, Dora Foti, Salvador Ivorra
• Keywords: Early Warning, Historical Centres, Innovative Monitoring Techniques, Multihazard, Protection, Virtual Network

References

[1] K. Meskouris, Structural dynamics, models, methods, examples. Berlin: Ernst & Sohn, (2000).

[2] D. Foti, M. Debernardis, V. Paparella. Structural Safety Control of Masonry Buildings: Non-Linear Static Seismic Analysis with a Non-Linear Shear Strength Criterion. In: B.H.V. Topping, (Editor). Proc. of the Eleventh International Conference on Computational Structures Technology. Dubrovnik, 4-7 sept. 2012, STIRLINGSHIRE: Civil-Comp Press, ISBN: 978-1-905088-54-6, doi: 10. 4203/ccp. 99.

DOI: 10.4203/ccp.99.123

[3] V. Gattulli, F. Potenza, F. Graziosi, F. Federici, A. Colarieti, M. Faccio. Distributed structural monitoring for a smart city in a seismic area. Key Engineering Materials 01/(2014).

DOI: 10.4028/www.scientific.net/kem.628.123

[4] D. Foti. Non-Destructive Techniques and Monitoring for the Evolutive Damage Detection of an Ancient Masonry Structure. Key Engineering Materials, (2014).

DOI: 10.4028/www.scientific.net/kem.628.168

[5] D. Foti, A. Romanazzi. Experimental analysis of fiber-reinforced mortar for walls in rectified brick blocks /Analisi sperimentale di malte fibrorinforzate per pareti in blocchi di laterizio rettificati, C+CA Ceramurgia + Ceramica Acta, Anno XXXXI, 41(2) (2011).

[6] S. Ivorra, D. Foti, D. Bru, and F.J. Baeza (2013). Dynamic Behavior of a Pedestrian Bridge in Alicante (Spain). J. Perform. Constr. Facil., 10. 1061/(ASCE) CF. 1943-5509. 0000556 (Dec. 7, 2013).

DOI: 10.1061/(asce)cf.1943-5509.0000556

[7] M. Lepidi, V. Gattulli, D. Foti. Swinging-bell resonances and their cancellation identified by dynamical testing in a modern bell tower. Engineering Structures, 31(7) (2009) 1486–1500.

DOI: 10.1016/j.engstruct.2009.02.014

[8] D. Foti, V. Gattulli, F. Potenza. Output-only modal identification in unfavourable testing conditions and finite element model updating of a seismically damaged building. Computer-Aided Civil And Infrastructure Engineering, 2014, Online ISSN: 1467-8667, doi: 10. 1111/mice. 12071.

DOI: 10.1111/mice.12071

[9] D. Foti, S. Ivorra, D. Bru, G. Dimaggio. Dynamic Identification of a Pedestrian Bridge using OMA: Previous and Post-Reinforcing. In: B.H.V. Topping, (Editor). Proceedings of the Eleventh International Conference on Computational Structures Technology. Dubrovnik, 4-7 sept. 2012, STIRLINGSHIRE: Civil-Comp Press, ISBN: 978-1-905088-54-6, doi: 10. 4203/ccp. 9. 9.

DOI: 10.4203/ccp.99.180

[10] M. Diaferio, D. Foti, V. Sepe. Dynamic Identification of the Tower of the Provincial Administration Building, Bari, Italy. in: Proceedings of the Eleventh International Conference on Civil, Structural and Environmental Engineering Computing, Malta, 18-21 Sept. 2007, paper n. 2.

DOI: 10.4203/ccp.86.2

[11] M. Diaferio, D. Foti, M. Mongelli, N.I. Giannoccaro, P. Andersen. Operational Modal Analysis of a Historical Tower in Bari. in: Conference Proceedings of the Society for Experimental Mechanics Series, IMAC XXIX,. 7 (2011).

DOI: 10.1007/978-1-4419-9316-8_31

[12] D. Foti, M. Diaferio, N.I. Giannoccaro, Mongelli Michele. Ambient Vibration Testing, Dynamic Identification and Model Updating of a Historic Tower. NDT&E International, 47 (2012) 88-95, doi: 10. 1016/ j. ndteint. 2011. 11. 009.

DOI: 10.1016/j.ndteint.2011.11.009

[13] D. Foti, S. Ivorra, M.F. Sabbà. Dynamic investigation of an ancient masonry bell tower with operational modal analysis: A non-destructive experimental technique to obtain the dynamic characteristics of a structure. Open Construction and Building Technology Journal, 6 (2012).

DOI: 10.2174/1874836801206010384

[14] D. Foti, M. Diaferio, N.I. Giannoccaro. Non-Destructive Monitoring of an Old Masonry Clock Tower with Forced and Environmental Actions. Proc. International Forum Le Vie dei Mercanti", Editor La Scuola di Pitagora, in "Fabbrica della Conoscenza, 12-14 June 2014, ID 111.

DOI: 10.1109/eesms.2014.6923265

[15] M. Diaferio, D. Foti, N.I. Giannoccaro. Identification of the modal properties of a building of the Greek heritage. Key Engineering Materials, (2014).

DOI: 10.4028/www.scientific.net/kem.628.150

[16] D. Foti. Identification of the Modal Properties of a Medieval Tower Next to a Landslide, Proc. International Forum Le Vie dei Mercanti", Editor La Scuola di Pitagora, in "Fabbrica della Conoscenza, 12-14 June 2014, ID 184.

[17] M. Erdik, Y. Fahjan, O. Ozel, H. Alcik, A. Mert, M. Gul. Istanbul earthquake rapid response and the early warning system, Bull Earthquake Eng. 1 (2003) 157–63.

DOI: 10.1023/a:1024813612271

[18] H. Kanamori, Real-time seismology and earthquake damage mitigation. Annu Rev Earth Planet Sci. 33 (2005) 195–214.

DOI: 10.1146/annurev.earth.33.092203.122626

[19] Y.M. Wu, H. Kanamori, Experiment on an onsite early warning method for the Taiwan early warning system, Bull Seismol Soc. Am. 95 (2005) 347–53.

DOI: 10.1785/0120040097

[20] Y.M. Wu, H. Kanamori, Rapid assessment of damaging potential of earthquakes in Taiwan from the beginning of P waves. Bull Seismol Soc. Am. 95 (2005) 1181–5.

[21] H. Kanamori, E. Hauksson, T. Heaton, Real-time seismology and earthquake hazard mitigation. Nature 390 (1997) 461–4.

DOI: 10.1038/37280

[22] F. Wenzel, M. Baur, F. Fiedrich, C. Ionescu, M. Oncescu, Potential of earthquake early warning system. Nat. Hazards 23 (2001) 407–16.

DOI: 10.1023/a:1011180302201

[23] Y. Nakamura, Urgent Earthquake Detection and Alarm System, now and future, In: 13th world conference on earthquake engineering, Vancouver, BC, Canada, Aug. 1–6, (2004).

[24] J.M. Espinosa-Aranda, A. Jimenez, G. Ibarrola, F. Alcantar, A. Aguilar, Mexico City seismic alert system. Seismol Res Lett. 66 (1995) 42–53.

DOI: 10.1785/gssrl.66.6.42

[25] Y.M. Wu, T.L. Teng, T.C. Shin, N.C. Hsiao. Relationship between peak ground acceleration, peak ground velocity, and intensity in Taiwan. Bull Seismol Soc Am. 93 (2003) 386–96.

DOI: 10.1785/0120020097

[26] Y.M. Wu, H. Kanamori, Development of an earthquake early warning system using real-time strong motion signals, Sensors, 8 (2008) 1–9.

DOI: 10.3390/s8010001

[27] Y.M. Wu, H. Kanamori, Exploring the feasibility of on-site earthquake early warning using close-in records of the 2007 Noto Hanto earthquake. Earth Planets Space 60 (2008) 155–60.

DOI: 10.1186/bf03352778

[28] M. Erdik, M. Demircioglu, K. Sesetyan, E. Duruka, B. Siyahi, Earthquake hazard in Marmara region, Turkey. Soil Dyn Earthquake Eng, 24 (2004) 605–31.

DOI: 10.1016/j.soildyn.2004.04.003

[29] H. Alcik, O. Ozel, N. Apaydin, M. Erdik, A study on warning algorithms for Istanbul earthquake early warning system. Geophys Res Lett, 36 (2009) 366-69.

DOI: 10.1029/2008gl036659

[30] R. Tomás, J. García-Barba, M. Cano, M.P. Sanabria, S. Ivorra, J. Duro, G. Herrera, Subsidence damage assessment of a Gothic church using differential interferometry and field data. Structural Health Monitoring, 11 (6) (2012) 751-762.

DOI: 10.1177/1475921712451953

[31] S. Ivorra, F.J. Pallarés, J.M. Adam, R. Tomás. An evaluation of the incidence of soil subsidence on the dynamic behaviour of a Gothic bell tower. Engineering Structures, 32(8) (2010) 2318-2325.

DOI: 10.1016/j.engstruct.2010.04.007

[32] L. Facchini, M. Betti, P. Biagini. Neural network based modal identification of structural systems through output-only measurement. Computers and Structures. 2014(138): 183-194.

DOI: 10.1016/j.compstruc.2014.01.013

[33] L. Carnimeo, A. Giaquinto, On Spatial Novelty Detection via Image Contrast Enhancement using Cellular Nonlinear Networks, WSEAS Trans. on Information Science & Appl. 1 (2004) 1747-51.

[34] L. Carnimeo, A. Giaquinto, Cellular Neural Networks for Obstacle Detection in Stereo Vision Imagery, Cellular Neural Networks: Theory and Appl., I(8), New York, Nova Science Publishers, (2004), 173-180.

[35] S.H. Strogatz, Exploring complex networks. Nature, 410 (2001) 268-276.

[36] L. Carnimeo, M. Dassisti, An approach to model the European Interchange Energy Network as a Small World Net. Recent Researches in Automatic Control and Electronics, (2012) 159-164.

[37] M. Dassisti, L. Carnimeo, Net modelling of energy mix among European Countries: A proposal for ruling new scenarios, Energy, 39 (2012) 100-111.

DOI: 10.1016/j.energy.2011.07.006

[38] M. Dassisti, L. Carnimeo, A small-world methodology of analysis of interchange energy-networks: The European behaviour in the economical crisis. Energy Policy, 63 (2013) 887-899.

DOI: 10.1016/j.enpol.2013.09.015