Time Dependent Viscoelastic Behaviour of EPS Geofoam

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A series of laboratory tests was carried out to assess the time-dependent creep behaviour of EPS geofoam at room temperature (23°C) and at 40°C. The experimental data were then used to calibrate and to validate mechanical viscoelastic models along with an empirical Power Law model, at these two temperatures. The viscoelastic models examined were the 3-element (Maxwell-Kelvin), the 4-element (Burgers) and the Modified 4-element models. The modified 4-element model and the base case, the empirical power law model, were found to give the best predictions. As anticipated, the experimental results show that creep rate is higher at elevated temperatures. The results, at 23°C and 40°C, offer a means to assess and model creep behavior in geotechnical applications at normal, and at a practical elevated, temperature where use of EPS geofoam in warmer climate may be a concern.

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1095-1099

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Athanasopoulos-Zekkos, A. Lamote K. and Athanasopoulos G. A.: Use of EPS geofoam compressible inclusions for reducing the earthquake effects on yielding earth retaining structures, Soil Dynamics and Earthquake Engineering, Vol. 41 (2012), p.59.

DOI: 10.1016/j.soildyn.2012.05.004

Google Scholar

[2] Lin L.K., Chen L.H. and Chen Roger H. L.: Evaluation of geofoam as a geotechnical construction material, Journal of Materials in Civil Engineering, Vol. 22 (2010) No.2, p.60.

Google Scholar

[3] Kim, H., Choi, B., Kim, J., 2010, Reduction of earth pressure on buried pipes by EPS Geofoam inclusions, Geotechnical Testing Journal, Vol. 33, No.4.

DOI: 10.1520/gtj102315

Google Scholar

[4] Melo Jose Daniel D. and Radford Donald W: Time and temperature dependence of the viscoelastic properties of CFRP by dynamic mechanical analysis. Comp. Struct., Vol. 70 (2005), p.240.

DOI: 10.1016/j.compstruct.2004.08.025

Google Scholar

[5] More, J.J., Garbow, B.S. and Hillstrom, K.E., 1980. User guide for MINPACK-1. Argonne National Lab Report ANL-80-74, Argonne, Ill.

DOI: 10.2172/6997568

Google Scholar

[6] Marquardt, D.: An algorithm for least-squares estimation of nonlinear parameters, SIAM Journal of Applied Mathematics, Vol. 11(1963), p.431.

Google Scholar