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Structural and Multidisciplinary Optimization

Erschienen in:

31.10.2017 | RESEARCH PAPER

Many-objective control optimization of high-rise building structures using replicator dynamics and neural dynamics model

verfasst von: Mariantonieta Gutierrez Soto, Hojjat Adeli

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 6/2017

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Abstract

Recently the authors presented a single-agent Centralized Replicator Controller (CRC) and a decentralized Multi-Agent Replicator Controller (MARC) for vibration control of high-rise building structures. It was shown that the use of agents and a decentralized approach enhances the vibration control system. Two key parameters in the proposed control methodologies using replicator dynamics are the total population (total available resources or the sum of actuators forces) and the growth rate. In the previous research, a sensitivity analysis was performed to determine the appropriate values for the population size and growth rate. In this paper, the aforementioned control methodologies are integrated with a multi-objective optimization algorithm in order to find Pareto optimal values for growth rates with the goal of achieving maximum structural performance with minimum energy consumption. A modified neural dynamic model of Adeli and Park is used in this research to solve the many-objective optimization problem where the Normal Boundary Intersection method is employed to find Pareto optimality. Sample results are presented using a 20-story steel benchmark structure subjected to historical and artificial accelerograms.

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Adeli H, Jiang X (2009) Intelligent infrastructure – neural networks, wavelets, and chaos theory for intelligent transportation systems and smart structures. CRC Press, Taylor & Francis, Boca Raton

Adeli H, Kim H (2004) Wavelet-hybrid feedback least mean square algorithm for robust control of structures. J Struct Eng 130(1):128–137CrossRef

Adeli H, Kim H (2009) Wavelet-based vibration control of smart buildings and bridges. CRC Press, Taylor & Francis, Boca Raton

Adeli H, Park HS (1995) Optimization of space structures by neural dynamics. Neural Netw 8(5):769–781CrossRef

Adeli H,Park HS (1998) Neurocomputing for Design Automation. CRC Press

Adeli H, Saleh A (1997) Optimal control of adaptive/smart bridge structures. J Struct Eng 123(2):218–226CrossRef

Adeli H, Saleh A (1999) Control, optimization, and smart structures - high-performance bridges and buildings of the future. John Wiley and Sons, New York

Adeli H, Gere J, Weaver W Jr (1978) Algorithms for nonlinear structural dynamics. J Struct Div ASCE 104(ST2):263–280

Aldwaik M, Adeli H (2014) Advances in optimization of Highrise building structures. Struct Multidiscip Optim 50(6):899–919CrossRef

Aldwaik M, Adeli H (2016) Cost optimization of reinforced concrete flat slabs of arbitrary configuration in irregular highrise building structures. Struct Multidiscip Optim 54(1):151–164CrossRef

Amezquita-Sanchez JP, Park HS, Adeli H (2017) A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform. Eng Struct 147:148–159CrossRef

Amin M, Ang AH-S (1968) Nonstationary stochastic models of earthquake motions. Journal of the Earthquake Mechanics Division 94(2):559–584

Andersson A, O’Connor AJ, Karoumi R (2015) Passive and adaptive damping systems for vibration mitigation and increased fatigue service life of a tied arch railway bridge. Comput Aided Civ Inf Eng 30(9):748–757CrossRef

Bakule L, Reha’k B, Pap’ık M (2016) Decentralized networked control of building structures. Comput Aided Civ Inf Eng 31(11):871–886CrossRef

Bertsekas DP (2008) Nonlinear programming. Athena Scientific, BelmontMATH

Cha YJ, Buyukozturk O (2015) Structural damage detection using modal strain energy and hybrid multi-objective optimization. Comput Aided Civ Inf Eng 30(5):347–358CrossRef

Costa DMD, Paula TI, Silva PAP, Paiva AP (2016) Normal boundary intersection method based on principal components and Taguchi’s signal-to-noise ratio applied to the multiobjective optimization of 12L14 free machining steel turning process. Int J Adv Manuf Technol 87(1):825–834CrossRef

Das I, Dennis J (1998) Normal-boundary intersection: a new method for generating Pareto optimal points in multicriteria optimization problems. SIAM J Optim 8(3):631–657CrossRefMATHMathSciNet

Der Kiureghian A, Neuenhofer A (1992) Response spectrum method for multi-support seismic excitations. Earthq Eng Struct Dyn 21:713–740CrossRef

El-Khoury O, Adeli H (2013) Recent advances on vibration control of structures under dynamic loading. Arch Comput Meth Eng 20(4):353–360CrossRef

FEMA (2012) P-58-1 Seismic performance assessment of buildings – volume 1 methodology. Federal Emergency Management Agency

Gutierrez Soto M, Adeli H (2017a) Recent advances in control algorithms for smart structures and machines. expert systems. 34:2, April 2017 (14 pages) (e12205)

Gutierrez Soto M, Adeli H (2017b) Multi-agent replicator controller for sustainable vibration control of smart structures. Journal of Vibroengineering 19(6):2017

Heloulou I, Said Radjef M, Tahar Kechadi M (2017) Automatic multi-objective clustering based on game theory. Expert Syst Appl 67:32–48CrossRef

Jiang S, Yang S (2017) Evolutionary dynamic multi-objective optimization: benchmarks and algorithm comparisons. IEEE Transactions on Cybernetics 47(1):198–211CrossRefMathSciNet

Kanai K (1957) Semi-empirical formula for the seismic characteristics of the ground. Bulletin of Earthquake Research Institute, University of Tokyo 35:309-325

Karami K, Akbarabadi S (2016) Developing a smart structure using integrated subspace-based damage detection and semi-active control. Comput Aided Civ Inf Eng 31(11):887–902CrossRef

Kim H, Adeli H (2004) Hybrid feedback-least mean square algorithm for structural control. J Struct Eng 130(1):120–127CrossRef

Lee HG, Yi CY, Lee DE, Arditi D (2015) An advanced stochastic time-cost tradeoff analysis based on a CPM-guided multi-objective genetic algorithm. Comput Aided Civ Inf Eng 30(10):824–842CrossRef

Lin Y, Descamps P, Gaud N, Hilaire V, Koukam A (2015) Multi-Agent System for Intelligent Scrum Project Management. Integrated Computer-Aided Engineering 22(3):281–296CrossRef

Lynch JP, Law KH (2002) Market-based control of linear structural systems. Earthq Eng Struct Dyn 31(10):1855–1877CrossRef

Martinez-alvarez A, Crespo Cano R, Diaz-Tahoces A, Cuenca-Asensi S, Ferrandez Vicente JM, Fernandez Jover E (2016) Automatic tuning of a retina model for a Cortico visual Neuroprosthesis using a multi-objective optimization genetic algorithm. Int J Neural Syst 26:7 (15 template pages)CrossRef

Morais H, Sousa TM, Santos G, Pinto T, Praça I, Vale Z (2015) Coalition of distributed generation units to virtual power players – a game theory approach. Integrated Computer-Aided Engineering 22(3):297–309CrossRef

Pareto V (1906) Manuale di Economia Politica. Societa Editrice Libraria, Milano, Italy. Translated into English by A. S. Schwier as Manual of Political Economy, Macmillan, New York, 1971

Park K, Oh BK, Park HS (2015) GA-based multi-objective optimization algorithm for retrofit design on a multi- core PC cluster. Comput Aided Civ Inf Eng 30(12):965–980CrossRef

Spencer BF, Christenson RE, Dyke SJ (1999) Next generation benchmark control problem for seismically excited buildings. Proceedings of the Second World Conference on Structural Control 2:1135–1360

Tajimi H (1960) A statistical method for determining the maximum response of a building structure during an earthquake. Proceedings of the Second World Conference on Earthquake Engineering, Tokyo and Kyoto, p 781-797

Turskis Z, Daniūnas A, Zavadskas EK, Medzvieckas J (2016) Multi-criteria evaluation of building foundation alternatives. Comput Aided Civ Inf Eng 31(9):717–729CrossRef

Wang L, Wang X, Li X (2016) System method for dynamic loads identification via noisy measured dynamic responses. Eng Comput 32(4):1070–1094CrossRef

Yang Z, Emmerich M, Baeck T, Kok J (2016) Multiobjective inventory routing with uncertain demand using population-based metaheuristics. Integrated Computer-Aided Engineering 23(3):205–220CrossRef

Yeganeh-Fallah A, Taghikhany T (2016) A modified sliding mode fault tolerant control for large scale civil infrastructures. Comput Aided Civ Inf Eng 31(7):550–561CrossRef

Zhu Z, Xiao J, Li JQ, Wang F, Zhang Q (2015) Global path planning of wheeled robots using multi-objective memetic algorithms. Integrated Computer-Aided Engineering 22(4):387–404CrossRef

Titel: Many-objective control optimization of high-rise building structures using replicator dynamics and neural dynamics model
verfasst von: Mariantonieta Gutierrez Soto
Hojjat Adeli
Publikationsdatum: 31.10.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 6/2017
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-017-1835-9

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