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Shenyang, China

Shenyang Jianzhu University is a university in Shenyang, Liaoning, China under the provincial government. Wikipedia.

Sun L.,Shenyang Jianzhu University | Huang W.M.,Nanyang Technological University
Soft Matter | Year: 2010

As recently demonstrated, after programming, thermo-responsive shape memory polymers can exhibit the multi-shape memory effect (SME) upon heating. In addition, it is confirmed that the temperature corresponding to the maximum recovery stress in constrained recovery is roughly the temperature at which pre-deformation is conducted, a phenomenon known as the temperature memory effect (TME). In this paper, we propose a framework to investigate the underlying mechanisms behind both effects and provide the conditions for the TME. According to this framework, we can achieve fully controllable shape recovery following a very complicated sequence in a continuous manner. © 2011 The Royal Society of Chemistry.

Zhao W.-J.,Shenyang Jianzhu University
Gongcheng Lixue/Engineering Mechanics | Year: 2012

The design strength of the concrete used for ultra-high-rise buildings in Japan has already surpassed 200N/mm2. The overwhelming majority of which were built with the precast construction method. This fasion of ultra-high-rise RC buildings is largely due to the development of ultra-high-strength materials, the conception of new design methodologies, and the innovation in construction technologies. In this area, Japan is the technology leader in the world. This paper includes an introduction of the latest trends of this area in Japan, as well as an overview of the relationship between the ultra-strong materials and a precast concrete structure. It provides also an insight into the recent researches and achievements of the author and his team.

Wang X.,CAS Shenyang Institute of Metal Research | Wang X.,Shenyang Jianzhu University | Yang H.,CAS Shenyang Institute of Metal Research | Wang F.,CAS Shenyang Institute of Metal Research
Corrosion Science | Year: 2011

The influences of a benzimidazole derivative, namely 1,8-bis (1-chlorobenzyl-benzimidazolyl) -octane (CBO) on the corrosion behaviour of mild steel in different concentration HCl solutions were studied by weight loss, potentiodynamic polarization, electrochemical impedance spectroscopy (EIS) measurements and SEM observations. The results showed that CBO acted as an excellent and a mixed-type inhibitor via strongly chemical adsorption onto mild steel surface to suppress simultaneously both anodic and cathodic processes according to the Langmuir adsorption isotherm. Inhibition efficiencies increased with increasing concentration of inhibitor and HCl. An inhibition mechanism was proposed in terms of strongly adsorption of inhibitor molecules on mild steel surface. © 2010 Elsevier Ltd.

Han L.-H.,Tsinghua University | Hou C.,Tsinghua University | Wang Q.-L.,Shenyang Jianzhu University
Journal of Constructional Steel Research | Year: 2012

This paper is an attempt to study the performance of concrete filled steel tubular (CFST) members with square sections under both loading and chloride corrosion. A total of 28 specimens, including 17 stub columns and 11 beams, were tested. The main parameters were loading ratio (from 0 to 0.75) during corrosion, as well as corrosion condition (no corrosion, and fully or half immersed into corrosive solution, respectively). According to the test, the effects of both loading and corrosion on the behaviour of CFST and reference hollow steel tubular members were analyzed. Comparisons between the predicted ultimate strength by using the existing codes of DBJ/T13-51-2010 and EC4-2004 and the testing results were proposed. © 2011 Elsevier Ltd. All rights reserved.

Jiang S.-F.,Fuzhou University | Zhang C.-M.,Northeastern University China | Zhang S.,Shenyang Jianzhu University
Expert Systems with Applications | Year: 2011

It is proposed in this paper a novel two-stage structural damage detection approach using fuzzy neural networks (FNNs) and data fusion techniques. The method is used for structural health monitoring and damage detection, particularly for cases where the measurement data is enormous and with uncertainties. In the first stage of structural damage detection, structural modal parameters derived from structural vibration responses are fed into an FNN as the input. The output values from the FNN are defuzzified to produce a rough structural damage assessment. Later, in the second stage, the values output from three different FNN models are input directly to the data fusion center where fusion computation is performed. The final fusion decision is made by filtering the result with a threshold function, hence a refined structural damage assessment of superior reliability. The proposed approach has been applied to a 7-degree of freedom building model for structural damage detection, and proves to be feasible, efficient and satisfactory. Furthermore, the simulation result also shows that the identification accuracy can be boosted with the proposed approach instead of FNN models alone. © 2010 Elsevier Ltd. All rights reserved.

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