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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.

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.

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.

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.

This paper analyses children's experiences of school or family visits to Hare Krishna eco-farms in Europe. The article evaluates the extent to which these encounters enable retention and recollection of memories and, consequently, trigger change towards more sustainable behaviour.

Participatory research, qualitative observations and theories of childhood memory are used to explore the nature of children's environmental encounters on Hare Krishna eco-tours.

Findings reveal that Krishna eco-tours offer a conducive environment for cerebral registering and future reminiscing through the following components: experiential learning of sustainable practices which are radically different to mainstream alternatives, sensory experiences, nature play and entertainment and freedom from everyday constraints.

The emerging literature on children's eco-tourism has largely focussed on market-related aspects and farmers' needs. In contrast, the authors’ conceptual framework, based on contemporary research in childhood memories, offers a tool to evaluate the impacts of eco-tourism from a more holistic perspective.