Probabilistic constitutive relationships for cyclic material strength models

Boyce, L.; Chamis, Christos C.

doi:10.2514/3.23464

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…Simulation results of temperature effects on nickel base alloy 713C properties [5] are shown respectively in Fig. 7 for modulus, Fig.…”

Section: Properties For Nickel Base Alloymentioning

confidence: 99%

A multi-factor interaction model (MFIM) for damage initiation and progression

Chamis¹

2011

Materials Characterisation V

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A Multi-Factor-Interaction-Model (MFIM) is briefly described to represent complex point material behavior in a single equation. The model is of product form in order to represent coupled interactions and to be computationally effective. The model describes a continuum or surface in space that represents the complex material behavior in terms of the various factors that affect a specified material behavior. The material specified behavior is inclusive of all material properties, mechanical, thermal, physical and effects thereon, such as temperature, time, cyclic loadings, etc. Sample case results simulated by using MFIM are compared with test data to illustrate its versatility and its relevance to reality. These results show that the MFIM can accurately predict metal matrix composite fatigue data and mechanical properties of a steel alloy. Helpful guidelines for its effective use are also included.

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“…Simulation results of temperature effects on nickel base alloy 713C properties [5] are shown respectively in Fig. 7 for modulus, Fig.…”

Section: Properties For Nickel Base Alloymentioning

confidence: 99%

A multi-factor interaction model (MFIM) for damage initiation and progression

Chamis¹

2011

Materials Characterisation V

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“…It was extended to metal matrix composites (Chamis and Hopkins [2]) and continued to be evolving during the National Aerospace Plane and the High Speed Research Programs (Chamis et al [3]). The result of all this research is the development of the MFIM to represent complex material point behavior by a single equation (Tong et al [4], Boyce and Chamis [5]). The development of this equation starts with the premise that, if we are to quantify the range of factors affecting material point properties, we need a description of point behavior (Minnetyan [6], Chamis and Minnetyan [7]).…”

Section: Introductionmentioning

confidence: 99%

A unique computational algorithm to simulate probabilistic multi-factor interaction model complex material point behavior

Chamis

Abumeri

2009

Computational Methods and Experiments in Materials Characterisation IV

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The Multi-Factor Interaction Model (MFIM) is used to evaluate the divot weight (foam weight ejected) from the launch external tanks. The multi-factor has sufficient degrees of freedom to evaluate a large number of factors that may contribute to the divot ejection. It also accommodates all interactions by its product form. Each factor has an exponent that satisfies only two points-the initial and final points. The exponent describes a monotonic path from the initial condition to the final. The exponent values are selected so that the described path makes sense in the absence of experimental data. In the present investigation, the data used was obtained by testing simulated specimens in launching conditions. Results show that the MFIM is an effective method of describing the divot weight ejected under the conditions investigated.

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“…3 The result of all this research is the development of the MFIM to represent complex material point behavior by a single equation. 4,5 The development of this equation starts with the premise that, if we are to quantify the range of factors affecting material point properties, we need a description of point behavior. 6,7 In this context, it is reasonable to consider that behavior constitutes an ndimensional space (Point Behavior Space (PBS)) where each point on that surface represents a specific aspect of complex behavior.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Multi-Factor Interaction Model for Complex Material Behavior

Chamis

Abumeri

2008

49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference &Amp;lt;br> 16th AIAA/ASME/AHS Ada

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The Multi-Factor Interaction Model (MFIM) is used to evaluate the divot weight (foam weight ejected) from the launch external tanks. The multi-factor has sufficient degrees of freedom to evaluate a large number of factors that may contribute to the divot ejection. It also accommodates all interactions by its product form. Each factor has an exponent that satisfies only two points-the initial and final points. The exponent describes a monotonic path from the initial condition to the final. The exponent values are selected so that the described path makes sense in the absence of experimental data. In the present investigation the data used was obtained by testing simulated specimens in launching conditions. Results show that the MFIM is an effective method of describing the divot weight ejected under the conditions investigated.

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Probabilistic constitutive relationships for cyclic material strength models

Cited by 4 publications

References 5 publications

A multi-factor interaction model (MFIM) for damage initiation and progression

A multi-factor interaction model (MFIM) for damage initiation and progression

A unique computational algorithm to simulate probabilistic multi-factor interaction model complex material point behavior

Probabilistic Multi-Factor Interaction Model for Complex Material Behavior

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