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This paper aims to reasonably quantify the radial deformation of turbine blade from a probabilistic design perspective. A probabilistic design for turbine blade radial deformation considering non-linear dynamic influences can quantify risk and thus control blade tip clearance to further develop the high performance and high reliability of aeroengine. Moreover, the need for a cost-effective design has resulted in the development of probabilistic design method with high computational efficiency and accuracy to quantify the effects of these uncertainties.

An extremum response surface method-based support vector machine (SVM-ERSM) was proposed based on SVM of regression to improve the computational efficiency and precision of blade radial deformation dynamic probabilistic design regarding non-linear material properties and dynamically thermal and mechanical loads.

Through the example calculation and comparison of methods, the results show that the blade radial deformation reaches at the maximum at t = 180 s; the probabilistic distribution and inverse probabilistic features of output parameters and the major factors (rotor speed and gas temperature) are gained; besides, the SVM-ERSM holds high computational efficiency and precision in the non-linear dynamic probabilistic design of aeroengine typical components.

The present efforts provide a method to design turbine besides other aeroengine components considering dynamic and non-linear factors base on probabilistic design for further research.

Moreover, the present study provides a way to design dynamic (motion) structures from a probabilistic perspective.

It is proved that the dynamic probabilistic design-based SVM-ERSM could produce a more reasonable blade radial deformation while maintaining low failure probability, as well as offer a useful reference for blade-tip clearance control and a promising insight to the optimal design of aeroengine typical components.

This paper aims to examine the attractiveness of the Tong Ren Tang (TRT) as a Chinese corporate heritage tourism brand and consider the significance of TRT for Chinese national identity. The study considers the saliency of Balmer’s augmented role identity notion vis-à-vis corporate heritage institutions/corporate brands. Insights are made from and for corporate heritage, heritage tourism and national identity literature.

A conceptual model comprising five hypotheses was developed and this informed a survey-based questionnaire administered to domestic tourists/customers visiting Tong Ren Tang’s flagship shop in Beijing.

The attractiveness to domestic Chinese tourists/customers of the TRT corporate heritage tourism brand was found to be attributable to its multiple role identities: national, corporate, temporal, familial and imperial. As such, this study lends credence to Balmer’s augmented role identity notion. Chinese domestic tourists/customers – as members of an ethnic Chinese community – in visiting TRT not only consume an extant corporate heritage by tangible and intangible means but can also be seen to express, and reaffirm, their sense of Chinese national identity.

For TRT’s managers, there should be an appreciation that the attractiveness of TRT as a corporate heritage tourism brand rests not only on what it sells but also in what it symbolises in national and cultural terms. This finding is applicable to the managers of many other corporate heritage/corporate heritage tourism brands.

Adopting a primordial perspective, the TRT pharmacy was found to be of singular significance to China’s national identity. Traditional Chinese Medicine, Confucian and Daoist religious/philosophical and China’s erstwhile Imperial polity are significant and enduring precepts of Chinese national identity. As such the TRT flagship shop/brand is of singular importance, as China has eviscerated much of its cultural heritage – particularly in relation to its corporate heritage brands.

This is the first empirical study to focus on corporate heritage tourism brands and one of the first studies to examine a Chinese corporate heritage/corporate heritage tourism brand. Also significant in focussing on the TRT corporate heritage brand. Established in 1669, TRT’s history spans five centuries: a corporate provenance which is exceptional within the People’s Republic of China. The study links the corporate brand notion with the nascent corporate heritage brand domain and the established area of heritage tourism.

The purpose of this paper is to target on designing a short-term load prediction framework that can accurately predict the cooling load of office buildings.

A feature selection scheme and stacking ensemble model to fulfill cooling load prediction task was proposed. Firstly, the abnormal data were identified by the data density estimation algorithm. Secondly, the crucial input features were clarified from three aspects (i.e. historical load information, time information and meteorological information). Thirdly, the stacking ensemble model combined long short-term memory network and light gradient boosting machine was utilized to predict the cooling load. Finally, the proposed framework performances by predicting cooling load of office buildings were verified with indicators.

The identified input features can improve the prediction performance. The prediction accuracy of the proposed model is preferable to the existing ones. The stacking ensemble model is robust to weather forecasting errors.

The stacking ensemble model was used to fulfill cooling load prediction task which can overcome the shortcomings of deep learning models. The input features of the model, which are less focused on in most studies, are taken as an important step in this paper.

This paper aims to investigate the corrosion inhibition ability of 4–(4-nitrophenyl) thiazol-2-amine (NPT) on the copper in 1 M HCl.

The corrosion inhibitory ability of NPT on the copper in 1 M HCl was studied by electrochemical impedance spectroscopy, scanning electron microscopy and atomic force microscopy. Theoretical calculations (molecular dynamics simulation, density functional theory and the nucleus independent chemical shift [NICS] as aromaticity indicator of the molecule) were also performed.

The corrosion inhibition efficacy of this compound was about 80%. Nyquist plots display a small arc contributed to the film or oxide layer resistance and a large loop associated with charge transfer resistance. The inhibitor adsorption was under Langmuir’s adsorption model. ΔG⁰_ads values point to the presence of physical and chemical adsorption. Results of quantum chemical calculations showed that NPT has better interaction with copper than NPTH⁺. NICS of NPT in benzene or thiazole rings was less negative compared to NICS of NPTH⁺. Thus NPT shows less aromaticity compared with NPTH⁺, showing NPT can have better interaction with copper than NPTH⁺. NPT had more negative E_int value and more interactions with the Cu relative to NPTH⁺, this result was in agreement with the results of quantum chemical calculations.

NPT is an efficient corrosion inhibitor for copper in HCl. Theoretical calculations showed that NPT can have better interaction with copper than NPTH⁺. The results of the theoretical studies were in good agreement with the experimental studies.