Meng Jia and Yingbao Yang
The purpose of this paper is to study dynamic evolution of passenger emotional contagion among different flights emerging in mass flight delays, so as to quantitatively analyze…
Abstract
Purpose
The purpose of this paper is to study dynamic evolution of passenger emotional contagion among different flights emerging in mass flight delays, so as to quantitatively analyze emotional variation tendencies and influences of concerned factors and intervention measures.
Design/methodology/approach
An intervening variable of group emotion was introduced into emotional contagion model to simulate passenger emotional evolution among multi-flight groups. Besides, personalities, characters and social relationships were considered to represent individual differences in emotional changes. Based on personal contact relationships, emotional contagion model was proposed to evaluate cross-emotion transition processes among different groups under scenarios of information shortage. Eventually, evolutionary processes of passenger emotions were fused in an agent-based simulation based on social force correction model.
Findings
Simulation experiment results revealed that passenger emotions suffer from combined impacts of individual emotional changes and emotional interactions among adjacent flights through a comparison with actual survey. Besides, emotional interactions accelerate processes of emotion transitions, and have significant impacts on adjacent flights when different measures are taken. Moreover, taking intervention measures simultaneously seems more effective than implementing intervention successively.
Originality/value
The proposed method makes up for deficiency of ignoring effects of emotional interactions among adjacent flights. It contributes to providing control methods and strategies for relevant departments and improving the efficiency and ability of handling passenger collective events in mass flight delays.
Details
Keywords
Jianhui Liu, Ziyang Zhang, Longxiang Zhu, Jie Wang and Yingbao He
Due to the limitation of experimental conditions and budget, fatigue data of mechanical components are often scarce in practical engineering, which leads to low reliability of…
Abstract
Purpose
Due to the limitation of experimental conditions and budget, fatigue data of mechanical components are often scarce in practical engineering, which leads to low reliability of fatigue data and reduces the accuracy of fatigue life prediction. Therefore, this study aims to expand the available fatigue data and verify its reliability, enabling the achievement of life prediction analysis at different stress levels.
Design/methodology/approach
First, the principle of fatigue life probability percentiles consistency and the perturbation optimization technique is used to realize the equivalent conversion of small samples fatigue life test data at different stress levels. Meanwhile, checking failure model by fitting the goodness of fit test and proposing a Monte Carlo method based on the data distribution characteristics and a numerical simulation strategy of directional sampling is used to extend equivalent data. Furthermore, the relationship between effective stress and characteristic life is analyzed using a combination of the Weibull distribution and the Stromeyer equation. An iterative sequence is established to obtain predicted life.
Findings
The TC4–DT titanium alloy is selected to assess the accuracy and reliability of the proposed method and the results show that predicted life obtained with the proposed method is within the double dispersion band, indicating high accuracy.
Originality/value
The purpose of this study is to provide a reference for the expansion of small sample fatigue test data, verification of data reliability and prediction of fatigue life data. In addition, the proposed method provides a theoretical basis for engineering applications.
Details
Keywords
Yingbao He, Jianhui Liu, Feilong Hua, He Zhao and Jie Wang
Under multiaxial random loading, the material stress–strain response is not periodic, which makes it difficult to determine the direction of the critical plane on the material…
Abstract
Purpose
Under multiaxial random loading, the material stress–strain response is not periodic, which makes it difficult to determine the direction of the critical plane on the material. Meanwhile, existing methods of constant loading cannot be directly applied to multiaxial random loading; this problem can be solved when an equivalent stress transformation method is used.
Design/methodology/approach
First, the Liu-Mahadevan critical plane is introduced into multiaxial random fatigue, which is enabled to determine the material's critical plane position under random loading. Then, an equivalent stress transformation method is proposed which can convert random load to constant load. Meanwhile, the ratio of mean stress to yield strength is defined as the new mean stress influence factor, and a new non-proportional additional strengthening factor is proposed by considering the effect of phase differences.
Findings
The proposed model is validated using multiaxial random fatigue test data of TC4 titanium alloy specimens and the results of the proposed model are compared with that based on Miner's rule and BSW model, showing that the proposed method is more accurate.
Originality/value
In this work, a new multiaxial random fatigue life prediction model is proposed based on equivalent stress transformation method, which considers the mean stress effect and the additional strengthening effect. Results show that the predicted fatigue lives given by the proposed model are in well accordance with the tested data.