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N. Miloudi¹, H. Hammoum¹, K. Bouzelha¹, B. Metna² and A. Pantet³

¹Department of Civil Engineering, Mouloud Mammeri University, Tizi Ouzou, Algeria
²Department of Agronomy, Mouloud Mammeri University, Tizi Ouzou, Algeria
³Laboratoire Ondes et Milieux Complexes, CNRS-Le Havre University, France

doi:10.4203/ccp.108.98

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N. Miloudi, H. Hammoum, K. Bouzelha, B. Metna, A. Pantet, "Principal Component Analysis of the Vulnerability Index for the Natural Hazards of Water Storage Tanks", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 98, 2015. doi:10.4203/ccp.108.98

Keywords: concrete tank, vulnerability, diagnosis, PCA, StatBox©.

Summary

The Algerian resource of water storage tanks has almost 40,000 tanks and they are mainly constructed of concrete. The experience and management feedback of nearly half a century revealed a wide disparity of the behaviour of these structures which is manifested by several pathologies. Lack of maintenance of these tanks that are exposed to natural hazards (e.g. snow, wind, earthquake) brings an acceleration of the ageing phenomenon. In order to predict this ageing and this degradation, a vulnerability index method to some natural hazards is used. This method which is based on visual inspection consists of determining the vulnerability index tank and involves thirteen influencing parameters. In this study, we propose to explore the existing links between the different influencing analysis parameters and this is only possible if the data has some redundancy. For this purpose, a multidimensional descriptive approach, called principal component analysis (PCA), is used. The effectiveness of this method has been demonstrated successfully by testing in the field on fifty-four tanks at Tizi-Ouzou, in the Great Kabylia region, Northern Algeria. The data are presented in this paper with the analysis parameters (variables) taking into account the vulnerability index which is a dependent variable. For processing the data table the analysis software and for statistical processing StatBox© is used.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 108 PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping Paper 98 Principal Component Analysis of the Vulnerability Index for the Natural Hazards of Water Storage Tanks N. Miloudi¹, H. Hammoum¹, K. Bouzelha¹, B. Metna² and A. Pantet³ ¹Department of Civil Engineering, Mouloud Mammeri University, Tizi Ouzou, Algeria ²Department of Agronomy, Mouloud Mammeri University, Tizi Ouzou, Algeria ³Laboratoire Ondes et Milieux Complexes, CNRS-Le Havre University, France doi:10.4203/ccp.108.98 purchase the full-text of this paper Full Bibliographic Reference for this paper N. Miloudi, H. Hammoum, K. Bouzelha, B. Metna, A. Pantet, "Principal Component Analysis of the Vulnerability Index for the Natural Hazards of Water Storage Tanks", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 98, 2015. doi:10.4203/ccp.108.98 Keywords: concrete tank, vulnerability, diagnosis, PCA, StatBox©. Summary The Algerian resource of water storage tanks has almost 40,000 tanks and they are mainly constructed of concrete. The experience and management feedback of nearly half a century revealed a wide disparity of the behaviour of these structures which is manifested by several pathologies. Lack of maintenance of these tanks that are exposed to natural hazards (e.g. snow, wind, earthquake) brings an acceleration of the ageing phenomenon. In order to predict this ageing and this degradation, a vulnerability index method to some natural hazards is used. This method which is based on visual inspection consists of determining the vulnerability index tank and involves thirteen influencing parameters. In this study, we propose to explore the existing links between the different influencing analysis parameters and this is only possible if the data has some redundancy. For this purpose, a multidimensional descriptive approach, called principal component analysis (PCA), is used. The effectiveness of this method has been demonstrated successfully by testing in the field on fifty-four tanks at Tizi-Ouzou, in the Great Kabylia region, Northern Algeria. The data are presented in this paper with the analysis parameters (variables) taking into account the vulnerability index which is a dependent variable. For processing the data table the analysis software and for statistical processing StatBox© is used. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £75 +P&P)
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