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Knowledge-based system for damage assessment after earthquake: Algerian buildings case

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Abstract

Damage assessment is a very important task after an earthquake. On the basis of the experience of the past Algerian earthquakes, it is important to recognize that often the number of professional experts is insufficient, therefore, non-expert professionals should be included in the execution of the damage assessment task. In addition, the use of houses immediately after earthquake is a very common fact among the inhabitants. For that matter, initiatives are multiplying in Algeria aiming at setting up sophisticated and rapid tools dedicated to estimating the earthquake consequences. Thus, this study focuses on the development of a multifunctional Knowledge-Based System (KBS) called post-seismic damage inspection tool (EDPS: Évaluation des Dommages Post-Sismique), a powerful tool which allows the evaluation, the processing and the archiving of the collected data stock after earthquakes. EDPS can be operated by two user types; an ordinary user for the damage visual inspection and an administrative user for updating the knowledge base and/or for adding or removing the expert type user. The tool consists essentially of four modules: interface, help, explanation and knowledge acquisition. The knowledge acquisition is driven by a hierarchical knowledge model. The Information from damage investigation reports and those acquired through feedback from expert/engineer questionnaires are part of the Knowledge Base (KB). Finally, an evaluation test with EDPS was conducted by means of the expert and proprietary interface.

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References

  • Algerian seismic design code (RPA99/03). (2003). National Center of Applicated Research in Earthquake Engineering, Algeria.

  • Allali, S. A., Abed, M., & Mebarki, A. (2018). Post-earthquake assessment of buildings damage using fuzzy logic. Engineering Structures, 166, 117–127.

    Article  Google Scholar 

  • Anagnostopoulos, S., & Moretti, M. (2008). Post-earthquake emergency assessment of building damage, safety and usability—Part 1: Technical issues. Soil Dynamics and Earthquake Engineering, 28, 223–232.

    Article  Google Scholar 

  • Auclair, S., Monfort, D., Colas, B., Langer, T., & Perrier, P. (2015). Prompt assessment of material and human losses: a critical assistance to operational management of seismic crisis. 9ème Colloque National - Anticiper, limiter et gérer les effets des séismes dans les territoires, Association Française de génie ParaSismique (AFPS), Champs-sur-Marne, France, 30 Nov.- 02 Dec.

  • Baggio, C., Bernardini, A., Colozza, R., Corazza, L., Della-Bella, M., Di Pasquale, G., et al. (2007). Field manual for post-earthquake damage and safety assessment and short term counter measures (AeDES). Luxembourg: Office for Official Publications of the European Communities.

    Google Scholar 

  • Barkavi, T., & Natarajan, C. (2018). Knowledge-based decision support system for identification of crack causes in concrete buildings. Asian Journal of Civil Engineering, 19(2), 111–120.

    Article  Google Scholar 

  • Bechtoula, H., & Ousalem, H. (2005). The 21 May 2003 Zemmouri (Algeria) Earthquake: Damages and disaster responses. Journal of Advanced Concrete Technology, 3(1), 161–174.

    Article  Google Scholar 

  • Bignami, C. (2014). Earthquake damage assessment from VHR data: Case studies. Encyclopedia of Earthquake Engineering. https://doi.org/10.1007/978-3-642-36197-5_231-1.

    Google Scholar 

  • Boukri, M., Farsi, M. N., Mebarki, A., & Belazougui, M. (2013). Development of an integrated approach for Algerian building seismic damage assessment. Structural Engineering and Mechanics, 47(4), 471–493.

    Article  Google Scholar 

  • Chiriou, L. (2005). Damage assessment of the 2003 Bam, Iran earthquake using Ikonos imagery. Earthquake Spectra, 21(S1), 219–224.

    Article  Google Scholar 

  • Consortium of Universities for Research in Earthquake Engineering (CUREE). (2010). General guidelines for the assessment and repair of earthquake damage in residential woodframe buildings. Richmond: Consortium of Universities for Research in Earthquake Engineering.

    Google Scholar 

  • D’Ayala, D. F., & Paganoni, S. (2011). Assessment and analysis of damage in L’Aquila historic city centre after 6th April 2009. Bulletin of Earthquake Engineering, 9(1), 81–104.

    Article  MathSciNet  Google Scholar 

  • Davidovici, V. (2003). Séisme de Boumerdes du 21 mai 2003, Rapport préliminaire du Ministère de l’Habitat, Rapport de Mission, Dynamique Concept, 23 Juillet 2003.

  • Di Lodovico, M., Digrosolo, A., Graziotti, F., Moroni, C., Belleri, A., Caprili, S., et al. (2017). The contribution of ReLUIS to the usability assessment of school buildings following the 2016 central Italy earthquake. Bollettino di Geofisica Teorica ed Applicata. https://doi.org/10.4430/bgta0192.

    Google Scholar 

  • Golabchi, M. (2008). A knowledge-based expert system for selection of appropriate structural systems for large spans. Asian Journal of Civil Engineering, 9(2), 179–191.

    Google Scholar 

  • Goretti, A., & Di Pasquale, G. (2004). Building inspection and damage data for the 2002 Molise, Italy, Earthquake. Earthquake Spectra, 20(S1), 167–190.

    Article  Google Scholar 

  • Goupy, J. (1990). Étude comparative de divers plans d’expériences. Revue de statistique appliquée, 38(4), 5–44.

    Google Scholar 

  • Goupy, J. (1996). Unconventional experimental designs theory and application. Chemometrics and Intelligent Laboratory Systems, 33, 3–16.

    Article  Google Scholar 

  • Gregor, S. (2001). Explanations from knowledge-based systems and cooperative problem solving: an empirical study. International Journal of Human Computer Studies, 54(1), 81–105.

    Article  MATH  Google Scholar 

  • Grünthal, G., & Levret, A. (2001). European Macro seismic Scale 1998 (EMS-98). Cahiers du Centre Européen de Géodynamique et de Séismologie. Luxembourg: Conseil de l’Europe.

    Google Scholar 

  • Hisada, Y., Shibayama, A., & Ghayamghamian, M. R. (2004). Building damage and seismic intensity in Bam City from the 2003 Iran, Bam, Earthquake. Bulletin of Earthquake Research Institute, 79, 81–93.

    Google Scholar 

  • Hochman, Z., Pearson, C. J., & Litchfield, R. W. (1994). Users’ attitudes and roles in the development and evaluation of knowledge based decision support systems for agricultural advisers. Agricultural Systems, 44, 217–235.

    Article  Google Scholar 

  • Jackson, P. (1998). Introduction to expert systems. Boston: Addison-Wesley Publishing Company.

    MATH  Google Scholar 

  • Kaveh, A., & Dadras, A. (2017). Structural damage identification using an enhanced thermal exchange optimization algorithm. Engineering Optimization. https://doi.org/10.1080/0305215x.2017.1318872.

    Google Scholar 

  • Kaveh, A., Hosseini Vaez, S. R., Hosseini, P., & Fathali, M. A. (2018). A new two-phase method for damage detection in skeletal structures. Iranian Journal of Science and Technology, Transactions of Civil Engineering. https://doi.org/10.1007/s40996-018-0190-4.

    Google Scholar 

  • Kaveh, A., Javadi, S. M., & Maniat, M. (2014). Damage assessment via modal data with a mixed particle swarm strategy, ray optimizer, and harmony search. Asian Journal of Civil Engineering, 15(1), 95–106.

    Google Scholar 

  • Kaveh, A., & Mahdavi, V. R. (2016). Damage identification of truss structures using CBO and ECBO algorithms. Asian Journal of Civil Engineering, 17(1), 75–89.

    Google Scholar 

  • Kaveh, A., & Maniat, M. (2014). Damage detection in skeletal structures based on charged system search optimization using incomplete modal data. International Journal of Civil Engineering, 12(2), 291–298.

    Google Scholar 

  • Kaveh, A., & Zolghadr, A. (2012). An improved charged system search for structural damage identification in beams and frames using changes in natural frequencies. International Journal of Optimization in Civil Engineering, 2(3), 321–339.

    Google Scholar 

  • Kaveh, A., & Zolghadr, A. (2014). An improved CSS for damage detection of truss structures using changes in natural frequencies and mode shapes. Advances in Engineering Software. https://doi.org/10.1016/j.advengsoft.2014.09.010.

    Google Scholar 

  • Kendal, S. L., & Creen, M. (2007). An introduction to knowledge engineering. London: Springer.

    MATH  Google Scholar 

  • Lu, D., & Weng, Q. (2009). Extraction of urban impervious surfaces from an IKONOS image. International Journal of Remote Sensing, 30(5), 1297–1311.

    Article  Google Scholar 

  • Meslem, A., Yamazaki, F., & Maruyama, Y. (2011). Accurate evaluation of building damage in the 2003 Boumerdes, Algeria earthquake from Quickbird satellite images. Journal of Earthquake and Tsunami, 5(1), 1–18.

    Article  Google Scholar 

  • Montgomery, D. C. (1997). Design and analysis of experiments. New York: Wiley.

    MATH  Google Scholar 

  • Noura, H., Mebarki, A., & Abed, M. (2017). Post-earthquake damage evaluation by neural networks: theory and calibration. European Journal of Environmental and Civil Engineering. https://doi.org/10.1080/19648189.2017.1304277.

    Google Scholar 

  • Rathje, E. M., & Adams, B. J. (2008). The role of remote sensing in earthquake science and engineering: Opportunities and challenges. Earthquake Spectra, 24(2), 471–492.

    Article  Google Scholar 

  • Saberi, M., & Kaveh, A. (2015). Damage detection of space structures using charged system search algorithm and residual force method. IJST, Transactions of Civil Engineering, 39(C2), 215–229.

    Google Scholar 

  • Saito, K., Spence, R., Going, C., & Markus, M. (2004). Using high-resolution satellite images for post-earthquake building damage assessment: A study following the 26 January 2001 Gujarat earthquake. Earthquake Spectra, 20(1), 145–169.

    Article  Google Scholar 

  • Sajja, P. S., & Akerkar, R. (2010). Knowledge-based systems for development. Advanced Knowledge Based Systems: Model, Applications & Research, 1, 1–11.

    Google Scholar 

  • Shao, Y. W., Wu, Y. S., Kao, S. F., Huang, C. J., & Chang, K. Y. (2014). Application of fuzzy theory on earthquake damage rate estimation of buildings. Journal of Central South University, 21, 2454–2459.

    Article  Google Scholar 

  • Shen, W., Hao, Q., Mak, H., Neelamkavil, J., Xie, H., et al. (2010). Systems integration and collaboration in architecture, engineering, construction, and facilities management: A review. Advanced Engineering Informatics, 24(2), 196–207.

    Article  Google Scholar 

  • Taillandier, F., Mora, L., & Denys, B. (2016). Decision support to choose renovation actions in order to reduce house energy consumption—an applied approach. Building and Environment, 109, 121–134.

    Article  Google Scholar 

  • Telforda, J. K. (2007). Brief introduction to design of experiments. Johns Hopkins Apl Technical Digest, 27(3), 224–232.

    Google Scholar 

  • Yamazaki, F., & Matsuoka, M. (2007). Remote sensing technologies in post-disaster damage assessment. Journal of Earthquake Tsunami, 1(3), 193–210.

    Article  Google Scholar 

  • Yousif, A., Mansoor, Z., & Qiang, Z. (2012). Using the knowledge-based system (KBS) to improving system for crack diagnosis in r.c column. Asian Journal of Natural & Applied Sciences, 1(3), 18–25.

    Google Scholar 

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Acknowledgements

The authors would like to thank the Algerian institutions; the National Earthquake Engineering Research Center, CGS, Algeria, in particular the scientific staff: MB, MNF, MB and the Constructions Technical Control offices, CTC, Algeria, in particular the Tizi-Ouzou CTC and Boumerdes CTC.

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Correspondence to K. Akkouche.

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Akkouche, K., Hannachi, N.E., Hamizi, M. et al. Knowledge-based system for damage assessment after earthquake: Algerian buildings case. Asian J Civ Eng 20, 769–784 (2019). https://doi.org/10.1007/s42107-019-00143-z

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