Smart structures research in Japan

Matsuzaki, Yuji

doi:10.1088/0964-1726/6/4/001

Cited by 15 publications

(6 citation statements)

References 72 publications

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“…The Preisach model can be numerically implemented by using equation (12) for the computation of output u…t † and equation (20) for the identi® cation of the weight function •…¬; †. However, the use of this approach creates two diYculties:…”

Section: Numerical Simulationmentioning

confidence: 99%

Distributed-element Preisach model for hysteresis of shape memory alloys

Song

Brandon

Featherston

2001

Proceedings of the Institution of Mechanical Engineers, Part C:

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The paper describes the development of distributed-element models for non-linear hysteresis in materials and structures. The physical model is based on an approach that views the system as comprising a series of ideal elastoplastic elements. Parameter identification, numerical simulation and inversion of the model through the application of the Preisach model for hysteresis are discussed. Experimentally obtained data using Nitinol are compared with the model prediction, thus establishing the effectiveness of distributed-element Preisach elements for predicting complex hysteresis effects including high-order hysteresis transition curves.

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Section: Numerical Simulationmentioning

confidence: 99%

Distributed-element Preisach model for hysteresis of shape memory alloys

Song

Brandon

Featherston

2001

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…W ITH the developments of materials science, engineering technology, data acquisition, and computer technology, 'intelligent' materials, such as electrorheological fluid, piezoelectric ceramic, shape memory alloys (SMAs), etc, have opened the door for many useful applications, e.g., civil engineering, automotive industry, aerospace technology, and medical science (Crawley, 1994;Matsuzaki, 1997;Srinivasan and Mcfarland, 2001). Implementation of smart structures has become feasible, and much effort has been made in these fields.…”

Section: Introductionmentioning

confidence: 99%

Behavior of Smart Concrete Beams with Embedded Shape Memory Alloy Bundles

Zhang³

2007

Journal of Intelligent Material Systems and Structures

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The behavior of smart concrete beams with embedded shape memory alloy (SMA) bundles is investigated in this study. Two beams measuring 1996 × 99 × 85 cm3, which will be integrated into a smart bridge in a freeway, are manufactured and examined. Each beam contains six trusses of SMA bundles used as actuators to achieve recovery force. The SMA bundles are connected with pre-stressing steel strands and separated from the concrete matrix, so that temperature interaction between SMA bundles and the matrix can be reduced to as low as possible. Some temperature sensors, reinforcement meters, and displacement sensors are used to monitor the active control effect of SMA bundles, all the data are acquired through a 16-channel dynamic data-acquisition system, and each beam is examined several times with different activating current intensity. Experimental results indicate that the recovery force induced by SMA bundles is significant and controllable, the deflection generated by the SMA bundles at the middle span of the beam is about 0.44 mm, and the capability of resisting overload of each beam is about 2.98 kN (average). A relationship between SMA temperature and activating/inactivating time is also formulated. The conclusion is that SMA can be used in civil engineering structures either from a technological or economic aspect.

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“…Piezoelectric elements are commonly used as sensors and actuators in adaptive structures (Matsuzaki, 1997). Piezoelectric materials generate an electric charge in response to mechanical deformations.…”

Section: Introductionmentioning

confidence: 99%