ITAST (Iranian Textile Association of Science and Technology) Journal of Textiles and Polymers 2322-5203 9 1 2021 01 01 Parameter Estimation of Viscoelastic Model to Simulate the Compression Behavior of Artificial Grass under Dynamic Loading Using Imperialist Competitive Algorithm Parameter Estimation of Viscoelastic Model to Simulate the Compression Behavior of Artificial Grass under Dynamic Loading Using Imperialist Competitive Algorithm 1 12 126730 EN Journal Article 2021 02 20 In this study, the parameters of linear Jeffrey’s<br />model are estimated using imperialist competitive algorithm<br />to simulate the compression behavior of artificial grass under<br />dynamic loading. To this end, a viscoelastic model is used<br />to explain this behavior according to ISO 2094. The model<br />consists of a linear spring and a dashpot set parallel to each<br />other. This combination is placed in series with a linear dashpot.<br />The Fourier transform periodic excitation is converted to the<br />summation of harmonic forces. Then, differential equations of<br />the system motion are solved analytically. The result predicted<br />for the compression behavior of artificial grass in dynamic<br />loading is compared with the experimental results. According<br />to the results, the average value of error for prediction of the<br />compression behavior is 5.68%. Therefore, the linear Jeffreyʼs<br />II model has a high ability to predict the compression behavior<br />of artificial grass under dynamic loading. http://www.itast.ir/article_126730_85c22d787eb0808a80dcc0cb4cdf5e89.pdf