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Data-driven models are increasingly being used to predict the fatigue life of many engineering components exposed to multiaxial loading. However, owing to their high data requirements, they are cost-prohibitive and underperforming for application scenarios with limited data. Therefore, it is essential to develop an advanced model with good applicability to small-sample problems for multiaxial fatigue life assessment.

Drawing inspiration from the modeling strategy of empirical multiaxial fatigue models, a modular neural network-based model is proposed with assembly of three sub-networks in series: the first two sub-networks undergo pretraining using uniaxial fatigue data and are then connected to a third sub-network trained on a few multiaxial fatigue data. Moreover, general material properties and necessary loading parameters are used as inputs in place of explicit damage parameters, ensuring the universality of the proposed model.

Based on extensive experimental evaluations, it is demonstrated that the proposed model outperforms empirical models and conventional data-driven models in terms of prediction accuracy and data demand. It also holds good transferability across various multiaxial loading cases.

The proposed model explores a new avenue to incorporate uniaxial fatigue data into the data-driven modeling of multiaxial fatigue life, which can reduce the data requirement under the promise of maintaining good prediction accuracy.

This study aims to investigate the adoption of waste-to-energy (WtE) technologies in South Africa (SA), focusing on identifying the key drivers, barriers and potential solutions for commercial uptake. The ultimate aim is to propose an implementation framework that promotes renewable energy while reducing landfill reliance.

A systematic literature review (SLR) of papers published between 2020 and 2023 was conducted to identify factors impacting WtE adoption in SA. The conceptual model developed from the SLR was tested using a qualitative case study approach. Data was collected through 15 semi-structured interviews with commercial entities and WtE experts from four regions of SA.

Anaerobic digestion and pyrolysis are identified as the most suitable waste-to-energy technologies in the South African context. Among the financial challenges of WtE in SA, the availability of cheap coal, low landfill tariffs, high capital costs, funding constraints and regressive economic incentives are critical. The lack of government support, insufficient incentives, regulatory burdens, weak policies and limited innovation capacity are considerable non-financial barriers hindering WtE technologies’ growth. The successful adoption of renewable energy also requires adequate infrastructure, increased sustainability awareness and technical expertise.

Although the sample size is diverse and consists of a range of organisations, it may not capture the thoughts and experiences of other SA businesses in their entirety. It is important to note that the lack of existing research on the implementation, benefits and impacts of WtE technologies limits the authors’ ability to interpret and benchmark the findings of this study. Yet, this study contributes by developing an implementation framework to encourage WtE adoption, recommending policy actions such as regressive taxation on fossil fuels and landfills and promoting renewable energy through subsidies, awareness and energy credits.

This study provides a practical framework for businesses and policymakers to adopt WtE technologies by addressing key barriers. The research suggests that businesses could reduce waste management costs and generate new revenue streams by adopting anaerobic digestion and pyrolysis. Policymakers are encouraged to disincentivize landfills and promote WtE through financial incentives such as subsidies and energy credits. The implementation framework offers clear recommendations for integrating WtE into SA’s energy and waste management strategies, supporting both sustainability and economic goals.

The main social contribution is the potential for WtE adoption to improve waste management practices and generate new job opportunities within the renewable energy and waste sectors.

This study provides a novel contribution by developing an implementation framework tailored to SA’s unique regulatory, economic and social contexts. The research highlights the importance of aligning WtE adoption with sustainability goals, reducing reliance on fossil fuels and promoting renewable energy. The framework serves as a practical guide for policymakers, businesses and industry leaders seeking to implement sustainable waste management solutions in SA.