A cognitive approach for the multi-objective optimization of RC structural problems

• Autorzy: Yepes V. , García-Segura T. , Moreno-Jiménez J. M.

Identyfikatory

DOI

10.1016/j.acme.2015.05.001

• Języki publikacji: EN

Abstrakty

EN

This paper proposes a cognitive approach for analyzing and reducing the Pareto optimal set for multi-objective optimization (MOO) of structural problems by means of jointly incorporating subjective and objective aspects. The approach provides improved knowledge on the decision-making process and makes it possible for the actors involved in the resolution process and its integrated systems to learn from the experience. The methodology consists of four steps: (i) the construction of the Pareto set using MOO models; (ii) the filtering of the Pareto set by compromise programming methods; (iii) the selection of the preferred solutions, utilizing the relative importance of criteria and the Analytic Hierarchy Process (AHP); (iv) the extraction of the relevant knowledge derived from the resolution process. A case study on the reinforced concrete (RC) I-beam has been included to illustrate the methodology. The compromise solutions are obtained through the objectives of economic feasibility, structural safety, and environmental sustainability criteria. The approach further identifies the patterns of behavior and critical points of the resolution process which reflect the relevant knowledge derived from the cognitive perspective. Results indicated that the solutions selected increased the number of years of service life. The procedure produced durable and ecological structures without price trade-offs.

Słowa kluczowe

EN

multi-objective optimization; analytic hierarchy process (AHP); reinforced concrete structures; ecological and economic sustainability; cognitive decision making

PL

beton; emisja gazów cieplarnianych; żelbeton

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2015
• Tom: Vol. 15, no. 4
• Strony: 1024--1036
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wykr.

Twórcy

autor

Yepes V.

• Institute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain

autor

García-Segura T.

• Institute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain

autor

Moreno-Jiménez J. M.

• Grupo Decisión Multicriterio Zaragoza (GDMZ), Universidad de Zaragoza, Zaragoza, Spain

Bibliografia

• [1] E.K. Zavadskas, T. Vilutiene, Z. Turskis, J. Saparauskas, Multi-criteria analysis of Projects' performance in construction, Archives of Civil and Mechanical Engineering 14 (1) (2014) 114–121.
• [2] M. Medineckiene, E.K. Zavadskas, F. Bjork, Z. Turskis, Multi- criteria decision-making system for sustainable building assessment/certification, Archives of Civil and Mechanical Engineering 15 (1) (2015) 11–18.
• [3] A. Altuzarra, P. Gargallo, J.M. Moreno-Jiménez, M. Salvador, Influence, relevance and discordance of criteria in AHP-Global Bayesian prioritization, International Journal of Information Technology & Decision Making 12 (4) (2013) 837–861.
• [4] J.M. Moreno-Jiménez, J. Cardeñosa, C. Gallardo, M.A. de la Villa-Moreno, A new e-learning tool for cognitive democracies in the Knowledge Society, Computers in Human Behavior 30 (2014) 409–418.
• [5] J.M. Moreno-Jiménez, C. Pérez-Espés, M. Velázquez, e- Cognocracy and the design of public policies, Government Information Quarterly 31 (1) (2014) 185–194.
• [6] T.W. Liao, P.J. Egbelu, B.R. Sarker, S.S. Leu, Metaheuristics for project and construction management – a state-of-the-art review, Automation in Construction 20 (5) (2011) 491–505.
• [7] C. Chiu, Y. Lin, Multi-objective decision-making supporting system of maintenance strategies for deteriorating reinforced concrete buildings, Automation in Construction 39 (2014) 15–31.
• [8] I. Paya, V. Yepes, F. González-Vidosa, A. Hospitaler, Multiobjective optimization of reinforced concrete building frames by simulated annealing, Computer-Aided Civil and Infrastructure Engineering 23 (8) (2008) 596–610.
• [9] F. Martinez-Martin, F. Gonzalez-Vidosa, A. Hospitaler, V. Yepes, Multi-objective optimization design of bridge piers with hybrid heuristic algorithms, Journal of Zhejiang University SCIENCE A 13 (6) (2012) 420–432.
• [10] D.J.M. Flower, J.G. Sanjayan, Greenhouse gas emissions due to concrete manufacture, The International Journal of Life Cycle Assessment 12 (5) (2007) 282–288.
• [11] F. Collins, Inclusion of carbonation during the life cycle of built and recycled concrete: influence on their carbon footprint, The International Journal of Life Cycle Assessment 15 (6) (2010) 549–556.
• [12] T. García-Segura, V. Yepes, J. Alcalá, Life-cycle greenhouse gas emissions of blended cement concrete including carbonation and durability, The International Journal of Life Cycle Assessment 19 (1) (2014) 3–12.
• [13] B.J. Hancock, C.A. Mattson, The smart normal constraint method for directly generating a smart Pareto set, Structural and Multidisciplinary Optimization 48 (4) (2013) 763–775.
• [14] L. Rachmawati, D. Srinivasan, Multiobjective evolutionary algorithm with controllable focus on the knees of the Pareto front, IEEE Transactions on Evolutionary Computation 13 (4) (2009) 810–824.
• [15] S. Saha, S. Bandyopadhyay, A new multiobjective clustering technique based on the concepts of stability and symmetry, Knowledge and Information Systems 23 (1) (2010) 1–27.
• [16] C.A. Mattson, A.A. Mullur, A. Messac, Smart Pareto filter: obtaining a minimal representation of multiobjective design space, Engineering Optimization 36 (6) (2004) 721–740.
• [17] P. Ashoka Varthanan, N. Murugan, G.M. Kumar, An AHP based heuristic DPSO algorithm for generating multi criteria production–distribution plan, Journal of Manufacturing Systems 32 (4) (2013) 632–647.
• [18] V. Muerza, D. De Arcocha, E. Larrodé, J.M. Moreno-Jiménez, The multicriteria selection of products in technological diversification strategies: an application to the Spanish automotive industry based on AHP, Production Planning and Control: The Management of Operations 25 (8) (2014) 715–728.
• [19] A. Altuzarra, J.M. Moreno-Jiménez, M. Salvador, Consensus building in AHP-group decision making: a Bayesian approach, Operations Research 58 (6) (2010) 1755–1773.
• [20] T.L. Saaty, The Analytic Hierarchy Process, RWS Publication, Pittsburgh, 1990.
• [21] T. García-Segura, V. Yepes, J.V. Martí, J. Alcalá, Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm, Latin American Journal of Solids and Structures 11 (7) (2014) 1190–1205.
• [22] B. Lagerblad, Carbon Dioxide Uptake During Concrete Life- Cycle: State of the Art, Swedish Cement and Concrete Research Institute, Stockholm, 2005.
• [23] SendeCO2, 2014. Available at: http://www.sendeco2.com (accessed November 2014).
• [24] Catalonia Institute of Construction Technology, BEDEC PR/ PCT ITEC Materials Database, 2014. Available at: http://www. itec.cat (accessed November 2014).
• [25] European Federation of Concrete Admixtures Associations, Environmental Product Declaration (EPD) for Normal Plasticising Admixtures, 2006. Available at: http://www.efca. info/downloads/324%20ETG%20Plasticiser%20EPD.pdf (accessed November 2014).
• [26] M. Fomento, Code on Structural Concrete EHE-08, Ministerio de Fomento, Madrid, Spain, 2008 (in Spanish).
• [27] K. Tuutti, Corrosion of Steel in Concrete, CBI Forskning Research Report, Cement and Concrete Research Institute, Stockholm, Sweden, 1982.
• [28] P. Serafini, Simulated annealing for multiple objective optimization problems, in: Proc. 10th Int. Conf. Multiple Criteria Decision Making, Taipei, (1992) 87–96.
• [29] N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, A.H. Teller, E. Teller, Equation of state calculations by fast computing machines, The Journal of Chemical Physics 21 (1953) 1087.
• [30] R.J. Glauber, Time-dependent statistics of the Ising model, Journal of Mathematical Physics 4 (2) (1963) 294.
• [31] J. Medina, Estimation of incident and reflected waves using simulated annealing, Journal of Waterway, Port, Coastal, and Ocean Engineering 127 (4) (2001) 213–221.
• [32] I. Payá-Zaforteza, V. Yepes, F. González-Vidosa, A. Hospitaler, On the Weibull cost estimation of building frames designed by simulated annealing, Meccanica 45 (5) (2010) 693–704.
• [33] T. García-Segura, V. Yepes, J. Alcalá, Sustainable design using multiobjective optimization of high-strength concrete I-beams, in: The 2014 International Conference on High Performance and Optimum Design of Structures and Materials HPSM/OPTI 2014, 9–11 June, Ostend, Belgium, 2014.