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Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the major principles of crisis management, aimed at converting the emergency situations into the normal state by considering sustainable development and all safety regulations, is based on the reconstruction of the damaged areas. To achieve this, the use of cold-formed steel structures, allowing for cost saving in materials and flexibility in the implementation method, seems to be highly suitable for reconstructing the damaged areas. These structures may be implemented by using three types of construction, including panelized, modular construction and, finally, construction of stick-built buildings. For this purpose, a conference meeting for identifying important criteria was held and twelve experts in four scientific areas, including civil engineering, economy and architecture, as well as top managers, participated in this conference. Then, the experts took part in assigning weights to important criteria and evaluating the alternatives. In the present research, the AHP method for weighing the important criteria, as well as a novel multi-criteria decision-making method called ‘Complex Proportional Assessment of alternatives with Gray relations’ (COPRAS-G) for evaluating the alternatives, were applied. The COPRAS-G deals with criteria determined by the gray relational grade. The criterion values are expressed in intervals. The results show that the construction quality is the most important criterion, while panelized construction is the best way of reconstructing the damaged areas. The research results presented in this paper can be useful for crisis management in any country of the world.
Rocznik
Strony
360--367
Opis fizyczny
Bibliogr. 58 poz., rys., tab.
Twórcy
autor
  • University of Sciences and Researches of Azarbaijan Sharqhi, Department of Civil Engineering, Tabriz, Iran
  • Shomal University, Department of Industrial Engineering, PO Box 731, Amol, Mazandaran, Iran
autor
  • Shomal University, Department of Civil Engineering, PO Box 731, Amol, Mazandaran, Iran
  • Vilnius Gediminas Technical University, Faculty of Civil Engineering, Sauletekioal. 11, LT-10223 Vilnius, Lithuania
Bibliografia
  • [1] G.J. Hancock, Cold-formed steel structures, Journal of Constructional Steel Research 59 (4) (2003) 473–487.
  • [2] R.M. Lawson, R.G. Ogden, Recent developments in the light steel housing in the UK, in: Proceedings of the 9th North Steel Conference of Construction Institute, Helsinki, Finland, 2001, pp. 319–325.
  • [3] M.R. Bambach, Unified element and section approach to design of cold-formed steel structures, Journal of Structural Engineering-ASCE 136 (4) (2010) 343–353.
  • [4] A.B Sabbagh, R. Mirghaderi, M. Petkovski, K. Pilakoutas, An integrated thin-walled steel skeleton structure (two full scale tests), Journal of Constructional Steel Research 66 (3) (2010) 470–479.
  • [5] M. Kowalik, Application of longitudinal cold rolling method in mass production of stepped shafts used in combustion engines, Archives of Civil and Mechanical Engineering 10 (4) (2010) 45–56.
  • [6] R. Landolfo, G Di Lorenzo, L. Fiorino, Attualit a e prospettived eisistemi costruttivi cold-formed, Costruzioni metalliche No (2002).
  • [7] M. Macdonald, J. Rhodes, M.A. Heiyantuduwa, Recent developments in the design of cold-formed steel members and structures, Thin-Walled Structures 46 (7-9) (2008) 1047–1053.
  • [8] J. Rondal, Cold formed steel members and structures: general report, Journal of Constructional Steel Research 55 (1–3) (2000) 155–158.
  • [9] W.W. Yu, Cold Formed Steel Design, John Wiley & Sons, New York, 2000.
  • [10] L. Fiorino, Il metodo Seismic behavior of sheathed cold-formed steel stud shear walls: an experimental investigation, Dipartimento di Analisi e Progettazione Strutturale, Facoltadi Ingegneria, Universit a di Napoli ‘‘Federico II’’, Napoli, 2003.
  • [11] U. Kulatunga, Impact of culture towards disaster risk reduction, International Journal of Strategic Property Management 14 (4) (2010) 304–313.
  • [12] K. Seneviratne, D. Baldry, C. Pathirage, Disaster knowledge factors in managing disasters successfully, International Journal of Strategic Property Management 14 (4) (2010) 376–390.
  • [13] G. Wedawatta, B. Ingirige, D. Amaratunga, Building up resilience of construction sector SMEs and their supply chains to extreme weather events, International Journal of Strategic Property Management 14 (4) (2010) 362–375.
  • [14] J.O. Rotimi, S. Wilkinson, K. Zuo, D. Myburgh, Legislation for effective post-disaster reconstruction, International Journal of Strategic Property Management 13 (2) (2009) 143–152.
  • [15] A. Kaklauskas, D. Amaratunga, R. Haigh, Knowledge model for post-disaster management, International Journal of Strategic Property Management 13 (2) (2009) 117–128.
  • [16] N. Tas, M. Tas, N. Cosgun, Permanent housing production process after 17 August 1999 Marmara Earthquake in Turkey, International Journal of Strategic Property Management 15 (3) (2011) 312–328.
  • [17] E.K. Zavadskas, E.R. Vaidogas, Managerial decisions about alternative automatic equipment for disaster management in construction, in: Proceedings of the 25th International Symposium on Automation and Robotics in Construction, Vilnius, Lithuania, June 26–29 2008 pp. 737–743.
  • [18] L. Fiorino, O. Iuorio, R. Landolfo, Sheathed cold-formed steel housing: a seismic design procedure, Thin-Walled Structures 47 (8-9) (2009) 919–930.
  • [19] L. Fiorino, O. Iuorio, R. Landolfo, Seismic analysis of sheathing-braced cold-formed steel structures, Engineering Structures 34 (2012) 538–547.
  • [20] A.B. Sabbagh, M. Petkovski, K. Pilakoutas, R. Mirghaderi, Development of cold-formed steel elements for earthquake resistant moment frame buildings, Thin-Walled Structures 53 (2012) 99–108.
  • [21] B.W. Schafer, Review: the direct strength method of cold-formed steel member design, Journal of Constructional Steel Research 64 (2008) 766–778.
  • [22] E. Magnucka-Blandzi, Effective shaping of cold-formed thin-walled channel beams with double-box flanges in pure bending, Thin-Walled Structures 49 (1) (2011) 121–128.
  • [23] E. Magnucka-Blandzi, K. Magnucki, Buckling and optimal design of cold-formed thin-walled beams: review of selected problems, Thin-Walled Structures 49 (5) (2011) 554–561
  • [24] J-H. Zhu, B. Young, Design of cold-formed steel oval hollow section columns, Journal of Constructional Steel Research 71 (2012) 26–37.
  • [25] R. Kasperska, K. Magnucki, M. Ostwald, Bicriteria optimization of cold-formed thin-walled beams with open cross sections, Thin-Walled Structures 45 (6) (2007) 563–572.
  • [26] M. Ostwald, K. Magnucki, M. Rodak, Bicriteria optimal design of open cross sections of cold-formed thin-walled beams, Steel and Composite Structures 7 (1) (2007) 70.
  • [27] A.I. Manevich, S.V. Raksha, Two-criteria optimization of H-section bars–beams under bending and compression, Thin-Walled Structures 45 (10-11) (2007) 898–901.
  • [28] AISI, Cold-Formed Steel Design Manual, AISI (American Iron and Steel Institute), Washington DC, 1996.
  • [29] AISI, North American Specification for the Design of Cold-formed Steel Structural Members (AISI S100-07), 2007.
  • [30] P.J. Grubb, R.M. Lawson, Building Design Using Cold Formed Steel Sections: Construction Detailing And Practice, SCI Publication, The Steel Construction Institute. Ascot, Berkshire, United Kingdom, 1997 P165.
  • [31] L.T. Saaty, The Analytic Hierarchy Process, McGraw Hill Company, New York, 1980.
  • [32] M.A. Badri, A combined AHP-GP model for quality control systems, International Journal of Production Economics 72 (2001) 27–40.
  • [33] M. Dagdeviren, Decision making in equipment selection: an integrated approach with AHP and PROMETHEE, Journal of Intelligent Manufacturing 19 (2008) 397–406.
  • [34] M. Medineckiene, Z. Turskis, E.K. Zavadskas, Sustainable construction taking into account the building impact on the environment, Journal of Environmental Engineering and Landscape Management 18 (2) (2010) 118–127.
  • [35] V. Podvezko, S. Mitkus, E. Trinkuniene, Complex evaluation of contracts for construction, Journal of Civil Engineering and Management 16 (2) (2010) 287–297.
  • [36] H. Sivilevicius, Modeling the interaction of transport system elements, Transport 26 (1) (2011) 20–34.
  • [37] H. Sivilevicius, Application of expert evaluation method to determine the importance of operating asphalt mixing plant quality criteria and rank correlation, Baltic Journal of Road and Bridge Engineering 6 (1) (2011) 48–58.
  • [38] M.M. Fouladgar, A. Yazdani-Chamzini, E.K. Zavadskas, An integrated model for prioritizing strategies of the Iranian mining sector, Technological and Economic Development of Economy 17 (3) (2011) 459–484.
  • [39] T.L. Saaty, H.J. Zoffer, Negotiating the Israeli–Palestinian controversy from a new perspective, International Journal of Information Technology and Decision Making 10 (1) (2011) 5–64.
  • [40] Y.I. Peng, G. Kou, G. Wang, W. Wu, Y. Shi, Ensemble of software defect predictors: an AHP-based evaluation method, International Journal of Information Technology and Decision Making 10 (1) (2011) 187–206.
  • [41] L. Sun, J. Ni, A.G. Borthwick, Rapid assessment of sustainability in Mainland China, Journal of Environmental Management 91 (4) (2010) 1021–1031.
  • [42] S. Omut, S. Soner, Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment, Waste Management 8 (9) (2008) 1552–1559.
  • [43] E. Martı́nez, M. Alvarez, A. Arquero, M. Romero, Selection of the optimal emplacement in buildings emplacement a university building by an Analytical Hierarchy Process (AHP), Informes de la Construccion 62 (519) (2010) 35–45.
  • [44] J.J. Wang, D.L. Yang, Using a hybrid multi-criteria decision aid method for information systems outsourcing, Computers and Operation Research 34 (2007) 3691–3700.
  • [45] G. Isklar, G. Buyukozkan, Using a multi-criteria decision making approach to evaluate mobile phone alternatives, Computer Standards and Interfaces 29 (2007) 265–274.
  • [46] E.K. Zavadskas, A. Kaklauskas, , Determination of an efficient contractor by using the new method of multi criteria assessment, in: Langford, D. A.; Retik, A. (eds.), International Symposium for The Organization and Management of Construction. Shaping Theory and Practice, vol. 2: Managing the Construction Project and Managing Risk, CIB W 65; London, Weinheim, New York, Tokyo, Melbourne, Madras London: E and FN SPON, 1996, pp. 94–104.
  • [47] L. Tupenaite, E.K. Zavadskas, A. Kaklauskas, Z. Turskis, M. Seniut, Multiple criteria assessment of alternatives for built and human environment renovation, Journal of Civil Engineering and Management 16 (2) (2010) 257–266.
  • [48] A. Kaklauskas, E.K. Zavadskas, J. Naimaviciene, M. Krutinis, V. Plakys, D. Venskus, Model for a complex analysis of intelligent built environment, Automation in Construction 19 (3) (2010) 326–340, http://dx.doi.org/10.1016/j.autcon.2009.12.006.
  • [49] E.K. Zavadskas, Z. Turskis, J. Tamosaitiene, Risk assessment of construction projects, Journal of Civil Engineering and Management 16 (1) (2010) 33–46.
  • [50] E.K. Zavadskas, A. Kaklauskas, Z. Turskis, J. Tamosaitiene, Selection of the effective dwelling house walls by applying attributes values determined at intervals, Journal of Civil Engineering and Management 14 (2) (2008) 85–93.
  • [51] S. Hashemkhani Zolfani, N. Rezaeiniya, E.K. Zavadskas, Z. Turskis, Forest roads locating based on AHP-COPRAS-Gmethods an empirical study based on Iran, E a M: Ekonomie a Management 14 (4) (2011) 6–21.
  • [52] E.K. Zavadskas, A. Kaklauskas, Z. Turskis, J. Tamosaitiene, D. Kalibatas, Assessment of the indoor environment of dwelling houses by applying the COPRAS-G method : Lithuania case study, Environmental Engineering and Management Journal 10 (5) (2011) 637–647.
  • [53] S. Hashemkhani Zolfani, N. Rezaeiniya, M.H. Aghdaie, E.K. Zavadskas, Quality control manager selection based on AHP- COPRAS-G methods: a case in Iran, Ekonomska Istrazivanja- Economic Research 25 (1) (2012) 88–104.
  • [54] S. Hashemkhani Zolfani, I.S. Chen, N. Rezaeiniya, J. Tamosaitiene, A hybrid MCDM model encompassing AHP and COPRAS-G method for the selection of company supplier: a case in Iran, Technological and Economic Development of Economy 18 (3) (2012) In Press.
  • [55] M.H. Aghdaie, S. Hashemkhani Zolfani, E.K. Zavadskas, Prioritizing constructing projects of municipalities based on AHP and COPRAS-G; a case study about constructing of footbridges in Iran, The Baltic Journal of Road and Bridge Engineering 7 (2) (2012) 145–153.
  • [56] N. Rezaeiniya, S. Hashemkhani Zolfani, E.K. Zavadskas, Greenhouse locating based on ANP-COPRAS-G methods an empirical study based on Iran, International Journal of Strategic Property Management 16 (2) (2012) 188–200.
  • [57] P. Chatterjee, S. Chakraborty, Material selection using preferential ranking methods, Materials and Design 35 (2012) 384–393.
  • [58] E.K. Zavadskas, A. Kaklauskas, Z. Turskis, J. Tamosaitiene, Multi-attribute decision-making model by applying gray numbers, Informatica 20 (2) (2009) 305–320.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-52210852-f7de-4834-858e-10c57feeb446
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