Constitutive Model of Shape Memory Alloy Wavelet Neural Network Based on Improved Bat Algorithm
Brinson LC. One-dimensional constitutive behavior of shape memory alloys: Thermomechanical derivation with non-constant material functions and redefined martensite internal variable. Journal of Intelligent Material Systems and Structures 1993; 4(2): 229-42.
Grandpierre A, Chopra D, Doraiswamy MP, Tanzi R, Kafatos MC. A multidisciplinary approach to mind and consciousness. NeuroQuantology 2013; 11(4): 607-17.
Cui X, Gao L, Liu JX. Wind tunnel test study on the influence of railing ventilation rate on the vortex vibration characteristics of the main beam. International Journal of Heat and Technology 2018; 36(1): 65-71.
Huang J, Yuan JT, Wang ZH. Influence of thermal-mechanical coupling effect on vibration of double-drive feed system. International Journal of Heat and Technology 2017; 35(1): 177-82.
He Y, Zhang HG, Liu XF, Xie J. A Constitutive model of high temperature deformation of NiTi alloy based on neural network. Rare Metal Materials and Engineering 2008; 37(1): 19-23.
Jian C, Ying Z, Jun Y, Yan L, Li Y. Influence on the navigation channel in Chongqing reach of the three gorges reservoir caused by reservoirs built upstream. International Journal of Heat and Technology 2015; 33(2): 9-16.
Krohling RA. Gaussian swam: A novel particle swarm optimization algorithm. 2004 IEEE Conference on Cybernetics and Intelligent Systems. Singapore: IEEE Inc, 2004: 372-76.
Liang C, Rogers CA. One-dimensional thermomechanical constitutive relations for shape memory materials. Journal of Intelligent Material Systems & Structures 1990; 1(2): 207-34.
Muller I. A Model for a body with shape memory. Archive for Rational Mechanics & Analysis 1979; 70(1): 61-77.
Pan YM, Zhang XY, Zhang QZ. Chaotic time series prediction of sunspots number with wavelet packet-wavelet neural network. Computer Science 2012; 40(6): 260-64.
Qian H, Li HN, Song GB. Dynamical behavior and constitutive model of superelasticity NiTi shape memory alloy wire: Experiment and theory. Acta Mechanica Solida Sinica 2011; 32(4): 353-59.
Ren WJ, He PF, Zhou J. Continuous constitutive model for superelastic shape memory alloy based on neural network. Journal of Functional Materials 2012; (11): 1396-98, 1402.
Shen ZL, Zhang YQ. Experimental study on flow-induced vibration and energy transformation of regular triangular prisms of different characteristic widths. International Journal of Heat and Technology 2017; 35(2): 354-59.
Shi Y, Eberhart RC. A modified particle swarm optimizer. In: Proceedings of the IEEE CEC. 1998: 69-73.
Tanaka K, Nagaki S. Thermomechanical description ofmaterialswith internal variables in the process of phase transformation. Ingenieur-Archiv 1982; 51(5): 287-99.
Wang J, Shen YP, Wang SL. The development of the constitutive relation of a shape memory alloy. Shanghai Journal of Mechanics 1998; 19(3): 185-95.
Wang TC, Xie YZ. BP-GA data fusion algorithm studies oriented to smart home, Mathematical Modelling of Engineering Problems 2016; 3(3): 135-40.
Yang XS, Gandomi AH. Bat algorithm: A novel approach for global engineering optimization. Engineering Computation 2012; 29(5): 267-89.
Yang XS. A new metaheuristic bat- inspired algorithm. Nature inspired cooperative strategies for optimization, Springer, Berlin Eidelberg 2010: 65-74.
Yang XS. Bat Algorithm for multi-objective optimization. International Journal of Bio-Inspired Computation, 2011; 3(5): 267-74.
Zhang QH, Benveniste A. Wavelet Networks. IEEE Trans. On Neural Networks 1992; 3(6): 889-98.
Zhen ZK, Lin ZY, Huan XL, Zhu JP. Discussion on wavelet neural network model based on particle swarm optimization. Science of Surveying and Mapping 2013; 38(3): 172-74.
Zhou Y, Wang SL, Wang DL. Austenitic SMA neural network constitutive model based on a genetic algorithm. Journal of Harbin Engineering University 2016; 37(8): 1057-62.