›› 2004, Vol. 25 ›› Issue (1): 77-81.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Scaled memory model and its parameters determination

CHI Shi-chun, SONG Zhen-he   

  1. State Key Lab of the Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
  • Received:2002-10-14 Online:2004-01-10 Published:2014-07-15

Abstract: It is needed for dynamic nonlinear analysis of soil structures that to follows the history of the stress-strain and to evaluate the instantaneous tangential modulus of the stress-strain on hysteretic loop. Because the seismic loadings are arbitrariness, it is very complex that the trace of the stress-strain of the soil elements in the actual geotechnical engineering. It is different for this nonlinear analysis that is used the conventional expresses of the constitutive relationship of the soil dynamic behavior based on the skeleton curve and hysteretic loop. In this paper, the scaled memory (SM) model is introduced for dynamic nonlinear analysis of soil structures. The SM translates the nonlinear variation of tangential modules during monotonic loading into a piecewise linear distribution geometrical relationship, which can easily to be modified to simulate hysteretic characteristics of soil during cyclic loadings, it also can simulate the dynamic stress-strain response of arbitrary cyclic loadings. In order to determine the parameters of the SM model. An analysis program of nonlinear least square method is developed. The parameters of the SM model, such as , , , , , , are defined by fitting test results. To compare the dynamic stress-strain relationships between the tests and the calculated results by SM model, it is shown that the SM model is capable and practicable.

Key words: soil dynamics, constitutive relationship model, scaled memory model

CLC Number: 

  • TU 311.3
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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