Soft computing-based calibration of microplane M4 model parameters: Methodology and validation
نویسندگان
چکیده
منابع مشابه
Soft computing-based calibration of microplane M4 model parameters: Methodology and validation
Constitutive models for concrete based on the microplane concept have repeatedly proven their ability to well-reproduce non-linear response of concrete on material as well as structural scales. The major obstacle to a routine application of this class of models is, however, the calibration of microplane-related constants from macroscopic data. The goal of this paper is two-fold: (i) to introduc...
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1. Abstract The material model M4 for concrete based on a microplane paradigm [1] is a realistic but very complex model with a large number of phenomenological constitutive parameters, which are rather difficult to determine from experiments. In addition, high computational complexity and non-smoothness of the model response prohibits the use of traditional deterministic optimization methods to...
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A new procedure based on layered feed-forward neural networks for the microplane material model parameters identification is proposed in the present paper. Novelties are usage of the Latin Hypercube Sampling method for the generation of training sets, a systematic employment of stochastic sensitivity analysis and a genetic algorithmbased training of a neural network by an evolutionary algorithm...
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This paper represents Part II of a two-part study in which a new improved version of the microplane constitutive model for damage-plastic behavior of concrete in 3D is developed. In Part II, an explicit numerical algorithm for model M4 is formulated, the material parameters of model M4 are calibrated by optimum fitting of the basic test data available in the literature, and the model is verifie...
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ژورنال
عنوان ژورنال: Advances in Engineering Software
سال: 2014
ISSN: 0965-9978
DOI: 10.1016/j.advengsoft.2014.01.013