• Title/Summary/Keyword: Technical Impact

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Efficient influence of cross section shape on the mechanical and economic properties of concrete canvas and CFRP reinforced columns management using metaheuristic optimization algorithms

  • Ge, Genwang;Liu, Yingzi;Al-Tamimi, Haneen M.;Pourrostam, Towhid;Zhang, Xian;Ali, H. Elhosiny;Jan, Amin;Salameh, Anas A.
    • Computers and Concrete
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    • v.29 no.6
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    • pp.375-391
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    • 2022
  • This paper examined the impact of the cross-sectional structure on the structural results under different loading conditions of reinforced concrete (RC) members' management limited in Carbon Fiber Reinforced Polymers (CFRP). The mechanical properties of CFRC was investigated, then, totally 32 samples were examined. Test parameters included the cross-sectional shape as square, rectangular and circular with two various aspect rates and loading statues. The loading involved concentrated loading, eccentric loading with a ratio of 0.46 to 0.6 and pure bending. The results of the test revealed that the CFRP increased ductility and load during concentrated processing. A cross sectional shape from 23 to 44 percent was increased in load capacity and from 250 to 350 percent increase in axial deformation in rectangular and circular sections respectively, affecting greatly the accomplishment of load capacity and ductility of the concentrated members. Two Artificial Intelligence Models as Extreme Learning Machine (ELM) and Particle Swarm Optimization (PSO) were used to estimating the tensile and flexural strength of specimen. On the basis of the performance from RMSE and RSQR, C-Shape CFRC was greater tensile and flexural strength than any other FRP composite design. Because of the mechanical anchorage into the matrix, C-shaped CFRCC was noted to have greater fiber-matrix interfacial adhesive strength. However, with the increase of the aspect ratio and fiber volume fraction, the compressive strength of CFRCC was reduced. This possibly was due to the fact that during the blending of each fiber, the volume of air input was increased. In addition, by adding silica fumed to composites, the tensile and flexural strength of CFRCC is greatly improved.

The Impacts of Corporate CEO Transformational Leadership on Green Innovation: Focusing on the Mediating Effects of Corporate Social Responsibility (기업 CEO의 변혁적 리더십이 녹색혁신성과 미치는 영향: 기업의 사회적 책임의 매개효과를 중심으로)

  • Shen, Jianchao;Jin, Chunhua;Lyu, Yang
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.157-163
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    • 2022
  • This research emphasized that the importance of transformational leadership such as charisma, inspiration motivation, individual consideration, and intellectual stimulation. Moreover, it focused on verifying the effects of these four elements on green innovation through corporate environmental responsibility. In addition, the mediating role of CSR was clearly identified as a key variable that can lead to green innovation. To verify this, an empirical study was conducted on employees of companies in the Chinese service companies. Empirical studies have shown that all four elements of this trait are positively correlated with green innovation. CSR also has a positive impact on green innovation performance. CSR played a partial mediating role in the relationship between the four elements of transformational leadership and green innovation. Finally, based on this research, the useful meaning of human resource management is presented to Chinese entrepreneurs and employees, and the future research direction was discussed.

Time-dependent seismic risk analysis of high-speed railway bridges considering material durability effects

  • Yan Liang;Ying-Ying Wei;Ming-Na Tong;Yu-Kun Cui
    • Earthquakes and Structures
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    • v.24 no.4
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    • pp.275-288
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    • 2023
  • Based on the crucial role of high-speed railway bridges (HSRBs) in the safety of high-speed railway operations, it is an important approach to mitigate earthquake hazards by proceeding with seismic risk assessments in their whole life. Bridge seismic risk assessment, which usually evaluates the seismic performance of bridges from a probabilistic perspective, provides technical support for bridge risk management. The seismic performance of bridges is greatly affected by the degradation of material properties, therefore, material damage plays a nonnegligible role in the seismic risk assessment of the bridge. The effect of material damage is not considered in most current studies on seismic risk analysis of bridges, nevertheless. To fill the gap in this area, in this paper, a nonlinear dynamic time-history analysis has been carried out by establishing OpenSees finite element model, and a seismic vulnerability analysis is carried out based on the incremental dynamic analysis (IDA) method. On this basis, combined with the site risk analysis, the time-dependent seismic risk analysis of an offshore three-span HSRB in the whole life cycle has been conducted. The results showed that the seismic risk probabilities of both components and system of the bridge increase with the service time, and their seismic risk probabilities increase significantly in the last service period due to the degradation of the material strength, which demonstrates that the impact of durability damage should be considered when evaluating the seismic performance of bridges in the design and service period.

A Study on the Data Literacy Education in the Library of the Chat GPT, Generative AI Era (ChatGPT, 생성형 AI 시대 도서관의 데이터 리터러시 교육에 대한 연구)

  • Jeong-Mee Lee
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.303-323
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    • 2023
  • The purpose of this study is to introduce this language model in the era of generative AI such as ChatGPT, and to provide direction for data literacy education components in libraries using it. To this end, the following three research questions are proposed. First, the technical features of ChatGPT-like language models are examined, and then, it is argued that data literacy education is necessary for the proper and accurate use of information by users using a service platform based on generative AI technology. Finally, for library data literacy education in the ChatGPT era, it is proposed a data literacy education scheme including seven components such as data understanding, data generation, data collection, data verification, data management, data use and sharing, and data ethics. In conclusion, since generative AI technologies such as ChatGPT are expected to have a significant impact on users' information utilization, libraries should think about the advantages, disadvantages, and problems of these technologies first, and use them as a basis for further improving library information services.

A Numerical Study on the Mitigation Effect of Water Curtain for SiCl4 Toxic Gas Release (SiCl4 누출 시 수막설비의 방재효과에 대한 수치 해석 연구)

  • Tae In Ryu;Eunmi Lee;Seungha Kim;Seong-mi Kang;Chang-hyun Shin;Seungbum Jo
    • Journal of the Korean Society of Safety
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    • v.38 no.3
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    • pp.43-50
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    • 2023
  • Silicone tetrachloride (SiCl4) leak accidents cause enormous human and environmental damage because it is highly toxic. Some handling facilities use water curtains to reduce the impact range of SiCl4. Although the water curtain is known as one of the most efficient technologies for post-release mitigation, its effect on reducing SiCl4 concentration needs to be investigated scientifically and quantitatively. In this study, three-dimensional computational fluid dynamics (CFD) was used to investigate the physical and chemical effects of water curtains as a release-mitigation system for SiCl4. SiCl4 is released and dispersed five seconds prior to the operation of the water curtain. Once the water curtain works, the SiCl4 reacts chemically with the water and its concentration decreases rapidly; it reaches an emergency response planning guidelines level 2 (ERPG-2) of 5 parts per million (ppm) at about 570 m. We observed, however, that the physical effect of water curtains on reducing SiCl4 concentration is insignificant when the chemical effect is eliminated. These results are crucial since they can be a scientific and quantitative basis for the 'technical guidelines for estimating the accident affected range'. In order to protect the public from chemical accidents, more toxic gas mitigation technologies need to be developed.

Machinability investigation of gray cast iron in turning with ceramics and CBN tools: Modeling and optimization using desirability function approach

  • Boutheyna Gasmi;Boutheyna Gasmi;Septi Boucherit;Salim Chihaoui;Tarek Mabrouki
    • Structural Engineering and Mechanics
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    • v.86 no.1
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    • pp.119-137
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    • 2023
  • The purpose of this research is to assess the performance of CBN and ceramic tools during the dry turning of gray cast iron EN GJL-350. During the turning operation, the variable machining parameters are cutting speed, feed rate, depth of cut and type of the cutting material. This contribution consists of two sections, the first one deals with the performance evaluation of four materials in terms of evolution of flank wear, surface roughness (2D and 3D) and cutting forces. The focus of the second section is on statistical analysis, followed by modeling and optimization. The experiments are conducted according to the Taguchi design L32 and based on ANOVA approach to quantify the impact of input factors on the output parameters, namely, the surface roughness (Ra), the cutting force (Fz), the cutting power (Pc), specific cutting energy (Ecs). The RSM method was used to create prediction models of several technical factors (Ra, Fz, Pc, Ecs and MRR). Subsequently, the desirability function approach was used to achieve a multi-objective optimization that encompasses the output parameters simultaneously. The aim is to obtain optimal cutting regimes, following several cases of optimization often encountered in industry. The results found show that the CBN tool is the most efficient cutting material compared to the three ceramics. The optimal combination for the first case where the importance is the same for the different outputs is Vc=660 m/min, f=0.116 mm/rev, ap=0.232 mm and the material CBN. The optimization results have been verified by carrying out confirmation tests.

Towards a better understanding of detection properties of different types of plastic scintillator crystals using physical detector and MCNPX code

  • Ayberk Yilmaz;Hatice Yilmaz Alan;Lidya Amon Susam;Baki Akkus;Ghada ALMisned;Taha Batuhan Ilhan;H.O. Tekin
    • Nuclear Engineering and Technology
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    • v.54 no.12
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    • pp.4671-4678
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    • 2022
  • The purpose of this comprehensive research is to observe the impact of scintillator crystal type on entire detection process. For this aim, MCNPX (version 2.6.0) is used for designing of a physical plastic scintillation detector available in our laboratory. The modelled detector structure is validated using previous studies in the literature. Next, different types of plastic scintillation crystals were assessed in the same geometry. Several fundamental detector properties are determined for six different plastic scintillation crystals. Additionally, the deposited energy quantities were computed using the MCNPX code. Although six scintillation crystals have comparable compositions, the findings clearly indicate that the crystal composed of PVT 80% + PPO 20% has superior counting and detecting characteristics when compared to the other crystals investigated. Moreover, it is observed that the highest deposited energy amount, which is a result of the highest collision number in the crystal volume, corresponds to a PVT 80% + PPO 20% crystal. Despite the fact that plastic detector crystals have similar chemical structures, this study found that performing advanced Monte Carlo simulations on the detection discrepancies within the structures can aid in the development of the most effective spectroscopy procedures by ensuring maximum efficiency prior to and during use.

Consumer Acceptance of Cashierless Fashion Stores -Effect of Store Attributes and the Moderating Role of Consumer Technical Readiness- (무인패션점포 수용 - 점포속성의 영향과 소비자 기술준비도의 조절효과 -)

  • Soyun Park;Soo-kyoung Ahn
    • Fashion & Textile Research Journal
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    • v.25 no.1
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    • pp.11-23
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    • 2023
  • With the proliferation of the "Untact" culture (non-face-to-face society), advanced technologies have accelerated the cashierless systems in the retail context. Cashierless fashion stores are expected to grow rapidly in the same way automated convenience stores grew in popularity. Applying the extended technology acceptance theory, this study aims to investigate how the attributes of cashierless fashion store influence consumers' acceptance of it and to examine how consumer's technology readiness moderates the model. Two online surveys-preliminary and secondary-were conducted to collect data from consumers in their 20s and 30s who had experienced cashierless stores over the past year. To analyze a total of 423 responses, this study conducted a confirmatory factor analysis, a multi-group factor analysis, a multi-group structure equation modeling, and a descriptive analysis. The results demonstrate that convenience, trustworthiness, and price had a positive impact on perceived ease of use, while service quality had a negative one. Enjoyment, convenience, trustworthiness, and price positively influenced perceived usefulness. Both perceived ease of use and usefulness increased the intention to use. Furthermore, the multi-group comparison confirmed that the positive dimensions of consumer's technology readiness played a moderating role in the model. This study provides a research foundation for consumer acceptance of technologically advanced stores and offers practical implications to companies planning cashierless fashion stores.

A Comparative study of the effect of optical illusion design in Magazine Advertisement (잡지광고에서 착시 디자인의 효과에 대한 비교 연구)

  • Li, Baitong;Kim, Chul-soo
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.215-228
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    • 2022
  • This paper aims to summarize and analyze the optical illusion designs in magazine advertisements. By giving questionnaires that compare print advertisements using the optical illusion design method and traditional print magazine advertisements without adopting the method, the paper performs a quantitative analysis of technical statistics along with a factor analysis of reliability and exploration using IBM SPSS 27.0. when designing through visual illusion expression methods, you can design from the perspective of visual impact and how the information contained in the product is expressed. While making full use of the characteristics of visual illusion, appropriate use of the combination of visual language and overall structure to maximize the brand The effectiveness of information transmission.

The Influence of Behavioral Intention on Usage Behavior of Chinese Online Fashion Platform Consumers Using the Expanded Unified Theory of Acceptance and Use of Technology - Focusing on Generation MZ - (확장된 통합기술수용이론을 활용한 중국 온라인 패션 플랫폼 소비자의 사용의도가 사용행동에 미치는 영향 - MZ세대를 중심으로 -)

  • Zi Wei Li;Jin Young Kim
    • Fashion & Textile Research Journal
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    • v.25 no.3
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    • pp.291-303
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    • 2023
  • The purpose of this study is to investigate the impact of technical acceptance factors of Chinese MZ generation consumers' use of online fashion platforms on behavioral intentions and usage behavior, and to determine whether satisfaction plays an additional role in the relationship between behavioral intentions and usage behavior. The research results can be summarized as follows. First, among the technology acceptance factors that influence Generation MZ consumers when they use online fashion platforms, it was found that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, price value, habit, and content quality significantly influence the behavioral intention to use online fashion platforms. Second, the facilitating conditions and the platform usage intention of Chinese Generation MZ consumers directly and significantly influence the usage behavior on online fashion platforms. In contrast, it was confirmed that habit does not significantly influence actual usage behavior. Third, this study confirmed the moderating effect of satisfaction on the relationship between behavioral intention and usage behavior on online fashion platforms. This research, which proposes a research model explaining the usage intention and behavior of online fashion platforms based on UTAUT2, integrating not only the organizational aspect but also the consumer aspect to empirically verify the usage intention and the final usage behavior from the general consumer's perspective, has academic significance.