Search results

The purpose of this paper is to study the deterministic elastic buckling behavior of cylindrical fiber–metal laminate panels subjected to uniaxial compressive loading and the investigation of GLAss fiber-REinforced aluminum laminate (GLARE) panels using probabilistic finite element method (FEM) analysis.

The FEM in combination with the eigenvalue buckling analysis is used for the construction of buckling coefficient–curvature parameter diagrams of seven fiber–metal laminate grades, three glass-fiber composites and monolithic 2024-T3 aluminum. The influences of uncertainties concerning material properties and laminate dimensions on the buckling load are studied with sensitivity analyses.

It is found that aluminum has a stronger impact on the buckling behavior of the fiber–metal laminate panels than their constituent uni-directional or woven composites. For the classical simply supported boundary conditions, it is found that there is an approximately linear relation between the buckling coefficient and the curvature parameter when the diagrams are plotted in double logarithmic scale. The probabilistic calculations demonstrate that there is a considerable probability to overestimate the buckling load of GLARE panels with deterministic calculations.

In this study, the deterministic and probabilistic buckling response of fiber metal laminate panels is investigated. It is shown that realistic structural uncertainties could substantially affect the buckling strength of aerospace components.

The purpose of this paper is to investigate the ballistic impact response of square clamped fiber-metal laminates and monolithic plates consisting of different metal alloys using the ANSYS LS-DYNA explicit nonlinear analysis software. The panels are subjected to central normal high velocity ballistic impact by a cylindrical projectile.

Using validated finite element models, the influence of the constituent metal alloy on the ballistic resistance of the fiber-metal laminates and the monolithic plates is studied. Six steel alloys are examined, namely, 304 stainless steel, 1010, 1080, 4340, A36 steel and DP 590 dual phase steel. A comparison with the response of GLAss REinforced plates is also implemented.

It is found that the ballistic limits of the panels can be substantially affected by the constituent alloy. The stainless steel based panels offer the highest ballistic resistance followed by the A36 steel based panels which in turn have higher ballistic resistance than the 2024-T3 aluminum based panels. The A36 steel based panels have higher ballistic limit than the 1010 steel based panels which in turn have higher ballistic limit than the 1080 steel based panels. The behavior of characteristic impact variables such as the impact load, the absorbed impact energy and the projectile’s displacement during the ballistic impact phenomenon is analyzed.

The ballistic resistance of the aforementioned steel fiber-metal laminates has not been studied previously. This study contributes to the scientific knowledge concerning the impact response of steel-based fiber-metal laminates and to the construction of impact resistant structures.

This study investigates how the combined effects of big data ability and CRM capability could impact on an organization's strategic sales performance (SSP), and how the leadership support (LS) could moderate the relationships between SSP with CRM capability and customer retention ability.

Having inputs from the literature and resource-based view (RBV) theory, a model has been developed conceptually. The conceptual model was validated statistically using the partial least squares structural equation modeling (SEM) technique with 317 responses.

The study found that organizations' big data analytics (BDA) capability, along with customer relationship management (CRM) capability, positively and significantly impacts organizations' SSP. Also, the study found that LS has a moderating impact on organizations' SSP.

The study cannot be generalizable, as it is cross-sectional in nature. Also, the sample size for statistically validating the model is 317, which is not large enough to generalize the study findings. The study has used only five constructs and one moderator. With more constructs and other moderators, the boundary conditions of the model could have been increased, which could result a better explanative power of the model.

This study shows that organizations' big data and CRM capabilities are important for their SSP; therefore, managers must ensure that their organization has appropriate big data and CRM capabilities. Also, the study shows the significance of LS to increase the SSP of their organizations. Thus, organizational leadership must support big data and CRM-related capabilities and ensure employees are appropriately trained to successfully use these capabilities.

Only a limited number of studies are available on the combined impact of big data capability and CRM capability on an organization's strategic sales. How BDA could help organizations to improve their SSP has not been explicitly studied. The proposed model shows that these capabilities, along with the moderating effects of LS, impact on organizations' SSP. Thus, the proposed theoretical model is a unique model, and the study is novel.

This paper explores the application of blockchain technology in the public cultural sector, where adoption remains limited despite its potential. The study identifies major use case scenarios and empirical examples of blockchain adoption in public sector cultural services through a scoping literature review.

A scoping literature review was conducted to map research and conceptual approaches to blockchain technology in the public cultural sector, focusing on key use cases emerging and empirical examples.

The review reveals that while blockchain has the potential to enhance public cultural services, its adoption is still in its early stages. Identified use cases include tokenization of cultural assets, digital rights management and decentralized funding models. Empirical examples in the public cultural sector are sparse, and the impact of the technology remains largely theoretical.

The study is limited by the scarcity of empirical data on blockchain adoption in public cultural services. Future research should focus on in-depth case studies and empirical analyses to understand the practical implications of blockchain in this sector.

Public sector organizations offering cultural services may use these insights to guide blockchain adoption and implementation decisions.

Blockchain adoption in public cultural services has the potential to democratize access, enhance transparency and foster community engagement, contributing to a more inclusive and participatory cultural ecosystem.

This paper contributes to the emerging discourse on blockchain in the public sector, focusing on the often-overlooked cultural services. It highlights the benefits and challenges of blockchain adoption in this sector, providing insights for future research and policy decisions.

Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts.

Using Ethereum smart contracts, the authors model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results.

The authors show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally.

Further work is required to incorporate the full-scale depth required to integrate the draft trading process into a decentralized user platform and experience.

Cutting time for the trade negotiation process buys decision time for team decision-makers. Gains are also made with accuracy and cost.

Full-scale adoption may find resistance due to the level of fan involvement; the draft has evolved into an interactive experience for both fans and teams.

This research demonstrates the new application of smart contracts in the inter-section of sports management and blockchain technology.