• Steel and Composite Structures
• /
• v.43 no.6
• /
• pp.759-772
• /
• 2022

Concrete-filled double skinned steel tubular (CFDST) columns have been used to construct modern structures such as tall buildings and bridges as well as infrastructures as they provide better, lesser weight, and greater stiffness in structural performance than conventional reinforced concrete or steel members. Different shapes of CFDST columns may be needed to satisfy the architectural and aesthetic criteria. In the study, three-dimensional FE simulations of circular and elliptical CFDST columns under axial compression were developed and verified through the experimental test data from the perspectives of full load-displacement histories, ultimate axial strengths, and failure modes. The verified FE models were used to investigate and compare the structural performance of CFDST columns with circular and elliptical cross-section shapes by evaluating the overall load-deformation curves, interaction stress-deformation responses, and composite actions of the column. At last, the accuracy of available design models in predicting the ultimate axial strengths of CFST columns were investigated. Research results showed that circular and elliptical CFDST column behaviors were generally similar. The overall structural performance of circular CFDST columns was relatively improved compared to the elliptical CFDST column.

• Asia-Pacific Journal of Business
• /
• v.13 no.1
• /
• pp.89-102
• /
• 2022

Purpose - We examine empirically the relationship between the board of directors and the corporate performance using board characteristics related variables. Design/methodology/approach - We empirically test the hypotheses using fixed effects models (FEM), using data of 3,703 listed non-financial companies in China from 2010 to 2019. Findings - First, the ownership of board of directors is positively related to ROA. Second, the size of the board of directors is positively related to ROA. Third, there is no evidence that interaction between characteristic variables related to the board of directors affect the corporate performance. Research implications or Originality - These results show that as the board of directors has larger ownership, the degree of identity of interest between stock holders and the board becomes bigger to reduce agency cost, then it lets the board make decisions to improve the corporate performance. In addition, as the board of directors becomes bigger, the board has strong independence to play the role of monitoring and advising, then it leads to improvement of corporate performance.

• Journal of Distribution Science
• /
• v.21 no.3
• /
• pp.25-36
• /
• 2023

Purpose: Brand community in higher education institutions comes up as an important topic to be discussed because the relationships among consumers can support the institutional brand and ultimately give meaning and vitality to the market-oriented strategy. This study aims to investigate how the literature on brand community in higher education have been distributed in research trends, theoretical frameworks, and methods. Research design, data and methodology: A total of 24 articles were organized from four reputable international databases. Content analysis were performed followed by synthesis toward potential directions and suggestions. Results: The researches in this area have increasingly focused on online interaction. Social identity theory and relationship theory were the two most prevalent theories used. Since the internet provides any social relationship with a specific relationship to form the brand community, its contextualization in higher education resulted in new concept implementation. Conclusions: The relationship within online participati on has impacted the market-oriented strategy of higher education in searching for ways toward a long-term and enduring bond among students, alumni, institutions and brands. As there is a plenteous prospect of data availability combined with big data analysis technology, the online participation will pique the interest of scholars to conduct further research on it.

• Structural Engineering and Mechanics
• /
• v.81 no.4
• /
• pp.395-409
• /
• 2022

The presence of infill generally neglected in design despite the fact that infill contribution significantly increase the lateral stiffness and strength of the reinforced concrete frame structure. Several experimental studies and computational models have been proposed to capture the rational response of infill-frame interaction at global level. However, limited studies are available on explicit finite element modelling to study the local behavior due to high computation and convergence issues in numerical modelling. In the current study, the computational modelling of RC frames is done with various configurations of infill masonry in terms of types of blocks, lateral loading and reinforcement detailing employed with material nonlinearities, interface contact issues and bond-slip phenomenon particularly near the beam-column joints. To this end, extensive computational modelling of five variant characteristics test specimens extracted from the detailed experimental program available in literature and process through nonlinear static analysis in FEM code, ATENA generally used to capture the nonlinear response of reinforced concrete structures. Results are presented in terms of damage patterns and capacity curves by employing the finest possible detail provided in the experimental program. Comparative analysis shows that good correlation amongst the experimental and numerical simulated results both in terms of capacity and crack patterns.

• Structural Engineering and Mechanics
• /
• v.81 no.5
• /
• pp.539-550
• /
• 2022

A detailed experimental program was conducted to investigate the flexural behavior of ultra high performance concrete (UHPC) beams reinforced with high strength steel (HSS) rebars with a specified yield strength of 600 MPa via direct tensile test and monotonic four-point bending test. First, two sets of direct tensile test specimens, with the same reinforcement ratio but different yield strength of reinforcement, were fabricated and tested. Subsequently, six simply supported beams, including two plain UHPC beams and four reinforced UHPC beams, were prepared and tested under four-point bending load. The results showed that the balanced-reinforced UHPC beams reinforced with HSS rebars could improve the ultimate load-bearing capacity, deformation capacity, ductility properties, etc. more effectively owing to interaction between high strength of HSS rebar and strain-hardening characteristic of UHPC. In addition, the UHPC with steel rebars kept strain compatibility prior to the yielding of the steel rebar, further satisfied the plane-section assumption. Most importantly, the crack pattern of the UHPC beam reinforced with HSS rebars was prone to transform from single main crack failure corresponding to the normal-strength steel, to multiple main cracks failure under the condition of balanced-reinforced failure, which validated by the conclusion of direct tensile tests cooperated with acoustic emission (AE) source locating technique as well.

• Structural Engineering and Mechanics
• /
• v.83 no.5
• /
• pp.671-680
• /
• 2022

The shear capacity of beams is an essential parameter in designing beams carrying shear loads. Precise estimation of the ultimate shear capacity typically requires comprehensive calculation methods. For steel fiber reinforced concrete (SFRC) beams, traditional design methods may not accurately predict the interaction between different parameters affecting ultimate shear capacity. In this study, artificial neural network (ANN) modeling was utilized to predict the ultimate shear capacity of SFRC beams using ten input parameters. The results demonstrated that the ANN with 30 neurons had the best performance based on the values of root mean square error (RMSE) and coefficient of determination (R²) compared to other ANN models with different neurons. Analysis of the ANN model has shown that the clear shear span to depth ratio significantly affects the predicted ultimate shear capacity, followed by the reinforcement steel tensile strength and steel fiber tensile strength. Moreover, a Genetic Algorithm (GA) was used to optimize the ANN model's input parameters, resulting in the least cost for the SFRC beams. Results have shown that SFRC beams' cost increased with the clear span to depth ratio. Increasing the clear span to depth ratio has increased the depth, height, steel, and fiber ratio needed to support the SFRC beams against shear failures. This study approach is considered among the earliest in the field of SFRC.

• Journal of Sensor Science and Technology
• /
• v.31 no.5
• /
• pp.324-329
• /
• 2022

This paper proposes a shift-register-based multichannel ultrasonic focusing delay control method using a complex programmable logic device (CPLD) for a high resolution of ultrasonic focusing system. The proposed method can achieve the ultrasonic focusing through the delay control of driving signals of each ultrasonic transducer of an ultrasonic array. The delay of the driving signals of all ultrasonic channels can be controlled by setting the shift register in the CPLD. The experiment verified that the frequency of the clock used for the delay control increased, the error of the focusing point decreased, and the diameter of the focusing point decreased as the length of the shift register in the proposed method. The proposed method used only one CPLD for ultrasonic focusing and did not require to use complex hardware circuits. Therefore, the resources required for the design of an ultrasonic focusing system could be reduced. The proposed method can be applied to the fields of human computer interaction (HCI), virtual reality (VR) and augmented reality (AR).

• Journal of Distribution Science
• /
• v.20 no.11
• /
• pp.47-59
• /
• 2022

Purpose: The study aims to synthesize research trends regarding the distribution of 'other customer perception' on 'brand experience'; concurrently, to identify the promising research directions and suggest useful for managers. Research design, data, and methodology: The paper deals with the distribution of 'other customer perception' on 'brand experience' through evaluating a systematic review combined with biological mapping analysis (VOS viewer) with 226 documents published in 142 journals from 1987 to 2021. Results: The study synthesizes and analyzes existing literature reviews on the distribution of 'other customer perception' on 'brand experience', which mainly highlights three research topic groups. Exploring the component of relationship should be considered in the brand experience scale when the research context is the social interactions surrounding the customer's purchasing process. Moreover, the presence of mindfulness in several publications has suggested a potential research direction in the consumer behavior field. Conclusions: The systematic reports can be a useful reference for managers towards building brand experience based on distribution of 'other customer perception' with moderating of mindfulness - a new finding of behavioral interaction that has just experienced the Covid-19 pandemic which is experienced directly at the store and lead to many changes in consumer psychology.

• Proceedings of the Korea Society of Poultry Science Conference
• /
• 2002.11a
• /
• pp.103-105
• /
• 2002

This study was conducted to determine how broiler performance with the level of crude protein(23 CP%, 21 CP% and 19 CP%) can be changed and affected, adding Alum(Al$_{2}$(SO$_{4}$)$_{3}$ㆍ14H$_{2}$O) and no Alum in litter(two ALUM levels and 3 Protein levels with 2$\times$3 factorial design). Alum was added as a top dressing to the litter at a rate of 200g ALUM / kg of rice bran. With the exception of the protein levels for feed ：gain(P〈 0.05), there were no significant differences in feed intake, weight gain and feed ：gain of chicks. For ammonia gas emission, both the main effects of Alum and protein(P〈 0.01 and 0.05) at 3weeks and interaction between Alum and protein(P〈 0.05), the main effect of Alum(P〈 0.01) at 6weeks did affected them. In litter excluded the main effects of Alum(P〈 0.05), there was a significant difference among N contents ranged from pH to the rate of C： Organic-N(P〈 0.01).

• Earthquakes and Structures
• /
• v.24 no.1
• /
• pp.1-9
• /
• 2023

A model for calculating structure interacted mechanics is proposed. A structural interaction model and controller design based on tuned mass damping (TMD) was developed to control the induced vibration. A key point is to introduce a new analytical model to evaluate the properties of the TMD that recognizes the motion-dependent nonlinear response observed in the simulations. Aiming at the problem of increased current harmonics and low efficiency of permanent magnet synchronous motors for electric vehicles due to dead time effect, a dead time compensation method based on neural network filter and current polarity detection is proposed. Firstly, the DC components and the higher harmonic components of the motor currents are obtained by virtue of what the neural network filters and the extracted harmonic currents are adjusted to the required compensation voltages by virtue of what the neural network filters. Then, the extracted DC components are used for current polarity dead time compensation control to avert the false compensation when currents approach zero. The neural network filter method extracts the required compensation voltages from the speed component and the current polarity detection compensation method obtains the required compensation voltages by discriminating the current polarity. The combination of the two methods can more precisely compensate the dead time effect of the control system to improve the control performance. Furthermore, based on the relaxed method, the intelligent approach of stability criterion can be regulated appropriately and the artificial TMD was found to be effective in reducing cross-wind vibrations.