Spectral Analysis of Non-Canonical Representation of Random Process in the Earthquake Action Modeling Problems for Proportioning of Buildings and Structures
Spectral Analysis of Non-Canonical Representation of Random Process in the Earthquake Action Modeling Problems for Proportioning of Buildings and Structures

Spectral Analysis of Non-Canonical Representation of Random Process in the Earthquake Action Modeling Problems for Proportioning of Buildings and Structures

Authors:  

Ержанов С.Е. Yerzhanov S.Е.
Ph.D. in Engineering Science, Adviser to Director General for Science, Corresponding Member of NEA RK and IEA,KazNIISA JSC, Republik of Kazakhstan, Almaty

Лапин Владимир Алексеевич Vladimir A. Lapin

Ph.D.in Engineering Science, Director of the Center for Scientific Research of the Construction Industry, Corresponding Member of the NIA of Kazakhstan and IEA, KazRDICA JSC, Almaty, Republic of Kazakhstan



Rubric:     Theoretical and experimental studies   
Annotation:
Model of earthquake effect in the form of combination of simple functions with random parameters is analyzed. Random process simulating earthquake effect is given by non-canonical representation. Method of generation of artificial accelerograms of local earthquakes is proposed based on presentation of correlation function as a sum of cosine exponential summands. Approximation parameters of correlation function were defined earlier on the basis of least square method by using MATLAB package with the application of methods of nonlinear approximation. Coincidence of initial and generated spectral curves is used as a quality criterion. Selections of random process realizations from 20 to 10000 accelerograms are used. Algorithms are simply implemented in present day systems of computer mathematics MATLAB, SCILAB. Mathematical model of accelerogram of earthquake in El Centro, 1940, has also been considered. Algorithms application area — computations with the use of Eurocode 8 and standards ISO 2394, ISO 8930, including with the application of probabilistic methods, reliability assessment of buildings and constructions based on the method of statistical testing.

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