INVESTIGATION OF PARAMETER UNCERTAINTY IN LIQUEFACTION PROBABILITY BASED ON META-HEURISTIC ALGORITHMS AND BAYESIAN MAPPING FUNCTION

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Goharzay Maral; NOORZAD ALI; Mahboubi Ardakani Ahmadreza

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Seminar Paper

Paper Information

Seminar: NATIONAL CONGRESS ON CIVIL ENGINEERING
Year:2016 | Issue:9

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Title

INVESTIGATION OF PARAMETER UNCERTAINTY IN LIQUEFACTION PROBABILITY BASED ON META-HEURISTIC ALGORITHMS AND BAYESIAN MAPPING FUNCTION

Author(s)

Goharzay Maral | NOORZAD ALI | Mahboubi Ardakani Ahmadreza

Keywords

LIQUEFACTION

GENE EXPRESSION PROGRAMMING

FIRST ORDER RELIABILITY METHOD

HYBRID ALGORITHM (PSO-GA)

BAYESIAN MAPPING FUNCTION

Abstract

LIQUEFACTION EVALUATION METHODS IN SANDY SOILS IS GENERALLY BASED ON THE DETERMINISTIC ANALYSIS. IN THE DETERMINISTIC APPROACH, CERTAIN AND NON-DISPERSION PARAMETERS ARE CONSIDERED. FURTHERMORE, IN THESE METHODS, ESTABLISHMENT OF EXACT CORRELATION BETWEEN THE PROBABILITY OF LIQUEFACTION (PL) AND THE FACTOR OF SAFETY (FS) IS NOT POSSIBLE. THIS PROBLEM IS SOLVED USING THE RELIABILITY ANALYSIS. IN THIS PAPER, EFFECT OF THE PARAMETER UNCERTAINTY IN LIQUEFACTION PROBABILITY, BASED ON THE GENE EXPRESSION PROGRAMMING (GEP) MODEL FOR LIQUEFACTION RESISTANCE AND POTENTIAL EVALUATION BASED ON STANDARD PENETRATION TEST (SPT) IS INVESTIGATED. IN ORDER TO VERIFY THE MODEL, GEP RESULTS ARE COMPARED WITH THE RESULTS BASED ON IDRISS AND BOULANGER APPROACH (2010). THEN, FIRST-ORDER RELIABILITY METHOD (FORM) BY USING A HYBRID OF PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM (PSO-GA) IN MATLAB2013A, AS A ROBUST OPTIMIZATION METHOD IS USED TO DETERMINE THE RELIABILITY INDEX (B). BAYESIAN MAPPING FUNCTION IS UTILIZED TO INFER THE RELATIONSHIP BETWEEN PROBABILITY OF LIQUEFACTION AND RELIABILITY INDEX. FINALLY, EFFECT OF THE LEVEL OF PARAMETER UNCERTAINTY ON THE LIQUEFACTION PROBABILITY BY DEVELOPMENT THE BAYESIAN MAPPING FUNCTIONS, ARE INVESTIGATED BY USING THE B-PL CURVES.

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APA: Copy

Goharzay, Maral, NOORZAD, ALI, & Mahboubi Ardakani, Ahmadreza. (2016). INVESTIGATION OF PARAMETER UNCERTAINTY IN LIQUEFACTION PROBABILITY BASED ON META-HEURISTIC ALGORITHMS AND BAYESIAN MAPPING FUNCTION. NATIONAL CONGRESS ON CIVIL ENGINEERING. SID. https://sid.ir/paper/943370/en

Vancouver: Copy

Goharzay Maral, NOORZAD ALI, Mahboubi Ardakani Ahmadreza. INVESTIGATION OF PARAMETER UNCERTAINTY IN LIQUEFACTION PROBABILITY BASED ON META-HEURISTIC ALGORITHMS AND BAYESIAN MAPPING FUNCTION. 2016. Available from: https://sid.ir/paper/943370/en

IEEE: Copy

Maral Goharzay, ALI NOORZAD, and Ahmadreza Mahboubi Ardakani, “INVESTIGATION OF PARAMETER UNCERTAINTY IN LIQUEFACTION PROBABILITY BASED ON META-HEURISTIC ALGORITHMS AND BAYESIAN MAPPING FUNCTION,” presented at the NATIONAL CONGRESS ON CIVIL ENGINEERING. 2016, [Online]. Available: https://sid.ir/paper/943370/en

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