Determination of probabilistic parameters of concrete: Solving the inverse problem by using artificial neural networks

Computers and Structures

Volumn 78, Issue 1, 2000, Pages 497-503

  Fairbairn, E M R ^a   Ebecken, N F F ^a   Paz, C N M ^a   Ulm, F J ^b  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONCRETE BEAMS AND GIRDERS; CRACK INITIATION; FINITE ELEMENT METHOD; INVERSE PROBLEMS; MATHEMATICAL MODELS; MONTE CARLO METHODS; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION; STRUCTURAL ANALYSIS;

STATISTICAL MOMENTS;

CONCRETE CONSTRUCTION;

EID: 0034325790     PISSN: 00457949     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0045-7949(00)00073-0     Document Type: Article

References (9)

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