Closure to “Buckling of a Weakened Column” by C. Y. Wang, C. M. Wang, and Tun Myint Aung

Wang, C. Y.; Wang, C. M.; Aung, Tun Myint

doi:10.1061/(asce)0733-9399(2005)131:12(1330)

Cited by 163 publications

(273 citation statements)

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“…Parameter adjustment and signal collection and analysis of RCP are all convenient. [12][13][14][15] Matlab provides this kind of function. Software development model of control system changes from line order model to fast circle iterative model supported by CRP system, it is easy to realize and reliability is very high.…”

Section: Simulation and Experiments Study Of The Electro-hydraulic Formentioning

confidence: 99%

Research on Electro-Hydraulic Force Servo System Based on Neural Network and Fuzzy Intelligent Control Strategy

Li¹,

Wang²,

Wang³

et al. 2014

j comput theor nanosci

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The serious problem exists in the electro-hydraulic force servo system, that there is flexible load link as the natural link in the system, and there is a second-order differential section whose oscillation frequency is low in the numerator of the transfer function. So, the frequency range of the system may be low and the system may oscillate easily even is instability since the above factors. Aiming at this characteristic of electro-hydraulic force servo system, neural network and fussy intelligent control strategy were combined and applied to the force servo system to improve the whole system performance. The mathematic models of the electro-hydraulic force system with and without the neural network and the fussy intelligent control strategy were built. Comparing the control result of the controller from the above intelligent control theory to the control result of the controller built by the traditional classical control strategy, and from the results of simulation and experiment, we can find that the controller with the above intelligent control theory can increase the frequency range and improve the precision of the system, and the controller can quicken the response ability of the system obviously, and we can know also that the mathematic model of the electro-hydraulic force servo system controlled by the above intelligent control strategy is correct.

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Section: Simulation and Experiments Study Of The Electro-hydraulic Formentioning

confidence: 99%

Research on Electro-Hydraulic Force Servo System Based on Neural Network and Fuzzy Intelligent Control Strategy

Li¹,

Wang²,

Wang³

et al. 2014

j comput theor nanosci

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“…By using the supercritical fluid technique, Tang et al [4] prepared nanosilica powder with greatly improved hydrophobicity. Wang et al [5] used the gas-phase hexamethyl disilylamine (HMDS) to modify nanosilica, and their experimental results showed that the ethoxy group on the surface of the aerogel was oxidized to hydroxy, which easily reacts with HMDS to form silicon methyl; thus, the hydrophobicity of nanosilica was strengthened considerably. However, all the above studies have limitations.…”

Section: Introductionmentioning

confidence: 99%

Study on the preparation and characterization of high-dispersibility nanosilica

Wang

et al. 2016

Science and Engineering of Composite Materials

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This article reports on experiments aimed at modifying nanosilica powder by adding a silane coupling agent, KH570, to achieve high dispersibility and strengthen the compatibility and interface bonding between it and the organic phases. Experiments were first done to prepare the common nanosilica powder, dried at 120 ° C for 4 h in a drying oven; second, an ethanol/water solution (volume ratio 11:1, total volume not more than two-thirds of the capacity of the flask) was blended in a three-necked flask with a reflux condenser and magnetic stirring; third, appropriate amount of dried nanosilica powder and appropriate mass fraction ratio of the silane coupling agent KH570 were added into the ethanol/water solution, and the pH of the mixture was adjusted to about 4 -5 by adding acetic acid solution; fourth, the three-necked flask was placed in a water bath, and the modification reaction of the above mixing solution was sustained for an appropriate time in the appropriate temperature with magnetic stirring; fifth, the above mixing solution was separated by using a centrifuge (10,000 rpm) for 3 min, and the precipitate at the bottom of the flask was obtained after the supernatant was poured out; sixth, the precipitate was dried at 120 ° C for 48 h in a drying oven after it was washed with acetone several times, finally yielding the high-dispersibility nanosilica powder. The orthogonal test method was adopted to optimize three key test parameters: mass fraction ratio of the silane coupling agent KH570, modification reaction temperature, and modification reaction time. The dispersion effect of the high-dispersibility nanosilica powder was characterized by using infrared, X-ray diffraction, and scanning electron microscopic analyses from different views. The results revealed that the best dispersibility effect was achieved when the mass fraction ratio of the silane coupling agent KH570 was 3%, the modification reaction temperature was 80 ° C, and the modification reaction time was 2 h. Furthermore, the modification reaction resulted in chemical bonding, but not simple physical adsorption, owing to the presence of organic bond groups in the nanosilica modified by the silane coupling agent. The crystal structure of the nanosilica powder remained amorphous after the modification reaction.

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“…2 This idea has been applied to many areas of design, including compliant mechanism that use a mixture of stiff and flexible material, 15,30,31 composite microstructures with tuned elastic and thermal properties [32][33][34] and stiff structures. 35,36 Topology optimisation methods have been extended to take advantage of multimaterial manufacturing techniques by including material choice as part of the design space. This approach allows the optimiser to choose not only whether material should be present at a point but also what material it should be.…”

Section: Introductionmentioning

confidence: 99%

“…37 Another interesting approach is projection topology optimisation, which can project discrete phases of materials onto the design space allowing for combined material and topology optimisation. 15,38 Approaches for material phase optimisation have also been developed for level set based methods using multiple level set functions 36 or a modified Cahn-Hilliard phase field model. 35 Advances in AM processes are enabling an alternative to the material phase design approach, where material can be continuously graded from one phase to another, a so-called functionally graded material (FGM).…”

Section: Introductionmentioning

confidence: 99%

Simultaneous optimisation of structural topology and material grading using level set method

Dunning

Brampton

Kim

2015

Materials Science and Technology

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The present paper introduces a new technique for simultaneously optimising the topology and continuous material distribution of a structure. Topology optimisation offers great potential for novel, improved structural designs and is an ideal design tool for additive manufacturing (AM) techniques. Level set based topology optimisation produces solutions with clear, smooth boundaries that can be directly fabricated using AM. Further benefits of AM may be realised by also optimising the material distribution within the structure. The sequential linear programming level set method is used to include material distribution design variables in the topology optimisation problem. This allows the topology and continuous material distribution to be optimised simultaneously. Several compliance minimisation problems are used to demonstrate the proposed approach.

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Closure to “Buckling of a Weakened Column” by C. Y. Wang, C. M. Wang, and Tun Myint Aung

Cited by 163 publications

References 0 publications

Research on Electro-Hydraulic Force Servo System Based on Neural Network and Fuzzy Intelligent Control Strategy

Research on Electro-Hydraulic Force Servo System Based on Neural Network and Fuzzy Intelligent Control Strategy

Study on the preparation and characterization of high-dispersibility nanosilica

Simultaneous optimisation of structural topology and material grading using level set method

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