• Advanced Composite Materials
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• v.17 no.4
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• pp.373-407
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• 2008

This paper will examine the possibilities of the virtual tests of composite structures by simulating mechanical behaviors by using supercomputing technologies, which have now become easily available and powerful but relatively inexpensive. We will describe mainly the applications of large-scale finite element analysis using the direct numerical simulation (DNS), which describes composite material properties considering individual constituent properties. DNS approach is based on the full microscopic concepts, which can provide detailed information about the local interaction between the constituents and micro-failure mechanisms by separate modeling of each constituent. Various composite materials such as metal matrix composites (MMCs), active fiber composites (AFCs), boron/epoxy cross-ply laminates and 3-D orthogonal woven composites are selected as verification examples of DNS. The effective elastic moduli and impact structural characteristics of the composites are determined using the DNS models. These DNS models can also give the global and local information about deformations and influences of high local in-plane and interlaminar stresses induced by transverse impact loading at a microscopic level inside the materials. Furthermore, the multi-scale models based on DNS concepts considering microscopic and macroscopic structures simultaneously are also developed and a numerical low-velocity impact simulation is performed using these multi-scale DNS models. Through these various applications of DNS models, it can be shown that the DNS approach can provide insights of various structural behaviors of composite structures.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.341-352
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• 2021

Research on SMEs highlights their limited resources and the influential role of SMEs' owners/managers. In this respect, scholars stressed the importance of different capabilities possessed by owners/managers of SMEs in developing a competitive position and enhancing firm performance. This study intended to examine the direct influence of two fundamental capabilities: financial literacy and networking competency possessed by owners/managers of SMEs in China and the United Arab Emirate (UAE) on SMEs' financial performance. In addition, this research tested the moderating impact of market orientation. The quantitative research method was employed by administering structured questionnaires. A total of 150 and 120 questionnaires were collected from owners/managers of SMEs in China and UAE. Structural equation modeling was used for data analysis using Smart-Pls. Findings revealed that SMEs' financial performance was positively related to maintaining financial literacy and networking competency in both samples. Further, market orientation was found to strengthen the positive impact of financial literacy and networking competency on SMEs' financial performance in China. However, market orientation had a significant moderating impact only on the relationship between networking and the financial performance of SMEs in the UAE. This paper ends with providing a set of concluding remarks, recommendations, and potential areas of further research.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.201-214
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• 2022

Transformational leadership styles are seen as key to inspiring employees to embrace change, as well as to build a sense of responsibility and autonomy at work. This study aims to examine the impact of managers' emotional capacity on transformational leadership behavior in enterprises in Vietnam. Using quantitative research methodology, through exploratory factor analysis (EFA) and linear structure model (SEM), with survey data of 632 samples who are managers of different levels in the enterprise. Research results show that the emotional capacity of managers has both a direct and indirect impact on transformational leadership behavior through the intermediary factors of knowledge sharing at work and corporate social responsibility for employees. Based on that, the study proposes a number of recommendations to promote transformational leadership behavior in enterprises. The findings of this study have demonstrated the importance and impact of managers' emotional capabilities across multiple dimensions of transformational leadership behavior. These are both theoretical and practical contributions that provide managers with greater insight into their emotional capabilities and the need for transformational leadership behaviors. At the same time, the results of this study will also be an important foundation for further research.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.45-52
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• 2022

This research has the purposes of analyzing and proving empirically, such as: To investigate the effect of good corporate governance (GCG) on financial performance at banks in Indonesia through the mediating role of corporate asset growth. Theoretically, the study's results were expected to enrich and complete the repertoire of understanding in the financial management area, specifically with those phenomena related to banking financial performance and factors which influenced it. The population of this research was a bank that had a Corporate Governance Perception Index (CGPI) rating from 2011 to 2020. The type of sampling used was saturated sampling; thus, the whole population is sample members. Current data analysis used SEM. GCG has a direct or indirect impact on banking financial performance, according to the findings of this study. Improved GCG results in increased public confidence, which is reflected in an increase in total assets, as well as improved banks' financial performance. As a result, it can be stated that corporate asset increase largely mitigated the impact of GCG on bank financial performance in Indonesia. Through this rapid growth from corporate assets, Bank can maximize the market expansion which is ultimately able to improve banking financial performance.

• Asian Journal of Business Environment
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• v.14 no.3
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• pp.23-35
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• 2024

Purpose: The study focuses on the impact of Foreign Direct Investment (FDI), trade openness, and energy consumption on carbon dioxide emissions in the Ivory Coast. It aims to quantitatively evaluate the effects of FDI, energy consumption, and trade openness on CO₂ emissions in Ivory Coast. Research design, data, and methodology: The research uses an econometric framework and the Autoregressive Distributed Lag (ARDL) model to analyze time-series data from 1980 to 2021 between these factors. Results: The analysis revealed that FDI significantly impacts the carbon dioxide emissions, FDI showed a negative impact on carbon emissions in the long-run equilibrium term. Also, energy consumption impacted CO₂ emissions in the long-run equilibrium term. Conclusion: To mitigate the upsurge of CO₂ emissions in the Ivorian context, concrete policy, including enactment and adherence to strict environmental regulations, adoption and prioritization of eco-friendly products and technologies, and investment in renewable energy infrastructure are recommended. The study contributes to the global discussion on sustainable development by offering a model for similar assessments in other emerging nations facing simultaneous economic growth and environmental conservation challenges.

• Wind and Structures
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• v.13 no.2
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• pp.191-206
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• 2010

Windborne debris is a major cause of structural damage during severe windstorms and hurricanes owing to its direct impact on building envelopes as well as to the 'chain reaction' failure mechanism it induces by interacting with wind pressure damage. Estimation of debris risk is an important component in evaluating wind damage risk to residential developments. A debris risk model developed by the authors enables one to analytically aggregate damage threats to a building from different types of debris originating from neighboring buildings. This model is extended herein to a general debris risk analysis methodology that is then incorporated into a vulnerability model accounting for the temporal evolution of the interaction between pressure damage and debris damage during storm passage. The current paper (Part I) introduces the debris risk analysis methodology, establishing the mathematical modeling framework. Stochastic models are proposed to estimate the probability distributions of debris trajectory parameters used in the method. It is shown that model statistics can be estimated from available information from wind-tunnel experiments and post-damage surveys. The incorporation of the methodology into vulnerability modeling is described in Part II.

• Journal of Magnetics
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• v.17 no.1
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• pp.61-67
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• 2012

The miniaturization of an electrostatic precipitator has become a key element in successfully constructing an efficient electrostatic precipitator because of the limited space allowed for installation in a subway tunnel. Therefore, the miniaturization of the rapping system of the electrostatic precipitator has also become important. This research proposes a resonant-type electromagnetic vibration exciter as a vibrating rapper for an electrostatic precipitator. The compact vibrating rapper removes collected dust from the collecting plates without direct impact on those collecting plates. To characterize the dynamic performance of the electromagnetic vibration exciter, finite element analysis was performed using a commercial electromagnetic analysis program, MAXEWLL. Moreover, we analyzed the resonant frequency of an electrostatic precipitator, to which the electromagnetic vibration exciter was applied, by ANSYS. Also, to measure the acceleration generated by the electromagnetic vibration exciter, we manufactured a prototype of the ESP and electromagnetic vibration exciter and measured its acceleration at the resonant frequency.

• Fashion & Textile Research Journal
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• v.13 no.4
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• pp.531-537
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• 2011

Employees of sales departments of apparel makers play an important role in the success of a fashion-related business because they provide service through the direct contact with customers. This research tests several hypothesized relationships between its determinants, such as job satisfaction and customer orientation, along with service delivery level. The subjects in this study were salespeople who worked at fashion stores in Yeosu and Sunchon. To measure the hypotheses, 200 questionnaires were handed out and 185 were collected. 163 questionnaires were used for the analysis, as 22 were found to be invalid. Frequency analysis, factor analysis, reliability analysis, and multiple regression techniques were used after coding and cleaning the data with the software SPSS 18.0. The result of this study are as follow. First, job satisfaction have a positive influence on employee's customer orientation. Second, job satisfaction have an effect on procedural and hospitable service delivery level. Third, it was found that the customer orientation have a significant impact on their procedural and hospitable service delivery level.

• International Journal of Naval Architecture and Ocean Engineering
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• v.6 no.2
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• pp.297-306
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• 2014

The paper presents the numerical analysis of wave run-up over rubble-mound breakwaters covered by antifer units using a technique integrating Computer-Aided Design (CAD) and Computational Fluid Dynamics (CFD) software. Direct application of Navier-Stokes equations within armour blocks, is used to provide a more reliable approach to simulate wave run-up over breakwaters. A well-tested Reynolds-averaged Navier-Stokes (RANS) Volume of Fluid (VOF) code (Flow-3D) was adopted for CFD computations. The computed results were compared with experimental data to check the validity of the model. Numerical results showed that the direct three dimensional (3D) simulation method can deliver accurate results for wave run-up over rubble mound breakwaters. The results showed that the placement pattern of antifer units had a great impact on values of wave run-up so that by changing the placement pattern from regular to double pyramid can reduce the wave run-up by approximately 30%. Analysis was done to investigate the influences of surface roughness, energy dissipation in the pores of the armour layer and reduced wave run-up due to inflow into the armour and stone layer.

• Earthquakes and Structures
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• v.9 no.4
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• pp.911-936
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• 2015

This work evaluates the performance of a number of seismic assessment procedures when applied to a case study reinforced concrete (RC) wall building. The performance of each procedure is evaluated through its ability to accurately predict deformation demands, specifically, roof displacement, inter-storey drift ratio and wall curvatures are considered as the key engineering demand parameters. The different procedures include Direct Displacement-Based Assessment, nonlinear static analysis and nonlinear dynamic analysis. For the latter two approaches both lumped and distributed plasticity modelling are examined. To thoroughly test the different approaches the case study building is considered in different configurations to include the effects of unequal length walls and plan asymmetry. Recommendations are made as to which methods are suited to different scenarios, in particular focusing on the balance that needs to be made between accurate prediction of engineering demand parameters and the time and expertise required to undertake the different procedures. All methods are shown to have certain merits, but at the same time a number of the procedures are shown to have areas requiring further development. This work also highlights a number of key aspects related to the seismic response of RC wall buildings that may significantly impact the results of an assessment. These include the influence of higher-mode effects and variations in spectral shape with ductility demands.