Impedance control of adaptive space structures based on artificial potential method

Matsuzaki, Yuji; Yoshida, Tomihiko; Ikeda, Tadashige

doi:10.2514/6.1999-1538

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…From a basic research viewpoint, the most unique feature of smart structures is certainly their time-dependent variance and change in both structural and mechanical characteristics and their state during the process of adaptation. This fact indicates a great necessity for the development of new approaches in both theoretical and numerical analyses [84]. At present, there are few analytical methods which can deal with the dynamic behavior and control of the changing systems.…”

Section: Dynamics Stability and Identification Of Changing Systemsmentioning

confidence: 99%

Smart structures research in Japan

Matsuzaki¹

1997

Smart Mater. Struct.

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This article presents an overview of smart structures research and development activities in Japan reported mainly between 1992 and 1996 and a brief description of the recent situation in the smart structures research circle. Mention will be made of investigations on the vibration, shape, and motion controls of space structures, vibration suppression of substructural elements and smart reinforced composites, shape memory alloys, design approaches, etc, focusing on new aspects and ideas.

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Section: Dynamics Stability and Identification Of Changing Systemsmentioning

confidence: 99%

Smart structures research in Japan

Matsuzaki¹

1997

Smart Mater. Struct.

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“…By tuning the PIEF using an adequate polynomial function, a simulated stress-strain hysteresis curve can be fit to the measured one quite well (Matsuzaki et al 2001). The effect of temperature change is included by considering the thermodynamic energy balance equation so that strain-rate sensitivity can be modeled (Matsuzaki et al 2000). Describing the PIEF as a simple function of number of cycles this model has been extended to include the effect of mechanical stabilization (Naito et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Micromechanical modeling of polycrystalline shape-memory alloys including thermo-mechanical coupling

Nae¹,

Matsuzaki

Ikeda

2002

Smart Mater. Struct.

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The main objective of this paper is to derive a simple, engineering model for a NiTi-based shape memory alloy (SMA) that can be used as a first-step, inexpensive computational tool in designing components including SMAs. The model is based on a Reuss approximation in which the stress in every grain is considered the same. A random and a simple texture distribution for the grain orientations as well as a normal distribution for the transformation force are used in the calculations so that a round shape of stress-strain curve and transformation start and finish temperatures can be considered. A new algorithm based on minimizing the energy at each transformation step is provided that is simple, fast and accurate. Thermo-mechanical coupling is taken into account, therefore various strain-rate regimes can be modeled. Both superelastic and shape memory effect (SME) are analyzed. The model can also replicate complex behavior encountered in real materials such as small strain-amplitude hysteresis cycles, ratio of lateral to longitudinal strain during transformation and asymmetric behavior in tension compared with compression, while keeping the number of modeling parameters small. Numerical simulations show excellent agreement with available experimental results by applying the adequate grain orientation and the transformation force distribution.

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