• Title/Summary/Keyword: long-term structural performance

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Creep behaviour of flexible adhesives

  • van Straalen, Ijsbrand J.;Botter, Erik;van den Berg, Arnold;van Beers, Peter
    • Journal of Adhesion and Interface
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    • v.5 no.2
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    • pp.5-14
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    • 2004
  • Since flexible adhesives are used more and more in structural applications, designers should have a better understanding of its behaviour under various conditions as ultimate load, fatigue load, long-term load and environmental conditions. This paper focuses on long-term load conditions and its effect on flexible adhesives. The creep properties of both PU (PolyUrethane) and SMP (Silyl Modified Polymers) adhesives used for identical applications are considered. To investigate the creep behaviour tests under various conditions were done. The results of those tests are presented and compared. To evaluate these results an empirical method is proposed and discussed. An example illustrates the potential of this method. It is also shown that with use of a probabilistic calibration technique this method results into a simple rule, which can be used to calculate the creep for practical applications. For the studied adhesives, the creep performance of the SMP adhesive is shown to be of the same level or slightly better than of the two PU adhesives. In addition to this empirical method, the principles of a more complex theoretical based method are introduced. The potential of this method is illustrated and future research activities are drawn.

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The Effects of Perceived Service Quality and Relational Benefits on Relationship Development Process between Fashion Retail Stores and Customers (지각된 서비스 품질과 관계효익이 패션점포와 고객간의 관계발달 과정에 미치는 영향)

  • Ju, Seong-Rae;Chung, Myung-Sun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.29 no.2
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    • pp.328-339
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    • 2005
  • The purpose of this study were to extract and empirically examine the effect variables on phase performance of relationship development process by identifying relationship development process between apparel store and customer. The questionnaires was asministered to 333 women frequency use of a department store, big shopping mall, discount store in Gwang-ju city during March 4-11, 2003. The data was analyzed by factor analysis, correlation analysis, and Structural Equation Model using LISREL 8.30 program. As the results, the perceived service quality with attractive factor of relationship explration phase direct positively influenced customer satisfaction among relationship expansion phases. However, relational benefit directly influenced customer satisfaction with the primary phase of relationship maintain as well as trust, customer commiment and long-term orientation. Also, customer satisfaction direct positively influenced trust, and customer' trust direct positively influenced customer commitment. Finally, the customer commitment direct positively influenced long-term orientation.

Introduction of the Intelligent Health Surveillance System for Urban Transit Station (도시철도 정거장의 종합 건전성 감시시스템 개발방향)

  • Shin, Jeong-Ryol;Ahn, Tae-Ki;Park, Kee-Jun;Kim, Jin-Ho;Lee, Woo-Dong
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.1248-1253
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    • 2007
  • Urban transit or subway stations generally service for a long period of several decades. And, the urban transit or subway is public transportation which lots of people takes every day. During the service time, they are inevitably damaged from environmental corrosion, material aging, fatigue, and the coupling effects with long-term loads and extreme loads. The included damage accumulates and performance degenerates due to the above factors. They would inevitably reduce the resisting capacity of station against the disaster; even they result in collapse with the structural failure under extreme loads. And, if disaster such as earthquake, fire, etc. happens, it causes huge property damage and threatens the human lives. Because of these above reasons, the intelligent health surveillance system should be researched and developed for ensuring the safety of station. In this paper, the research plans of the intelligent health surveillance system of urban transit station are presented. And also, the development or establishment directions of this system are suggested.

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The effect of the poor infilling of the underpouring in precast slab track system on structural behavior (프리캐스트 슬래브 궤도 시스템의 충전층 충전불량이 궤도구물의 구조적 안전성에 미치는 영향)

  • Kim, Yoo-Bong;Kang, Young-Jong;Moon, Do-Young;An, Ki-Hong
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.256-260
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    • 2010
  • It has been proved that precast slab track has advantage of rapid construction speed and good quality compared to in-situ concrete slab track. A korean precast slab track, which is named as a K-PST, was developed and had been installed on the embankment and explored on the air. The developed track system consists of precast track panel and underpouring layer which is made of cement-asphalt mortar. Consequently, poor filling of underpouring layer directly could affect on the long-term performance of the track system. As a preliminary study, the effect of the poor infilling of the underpouring in precasst slab track system on structural behavior was investigated through FEM analysis.

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Investigating the long-term behavior of creep and drying shrinkage of ambient-cured geopolymer concrete

  • Asad Ullah Qazi;Ali Murtaza Rasool;Iftikhar Ahmad;Muhammad Ali;Fawad S. Niazi
    • Structural Engineering and Mechanics
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    • v.89 no.4
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    • pp.335-347
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    • 2024
  • This study pioneers the exploration of creep and shrinkage behavior in ambient-cured geopolymer concrete (GPC), a vital yet under-researched area in concrete technology. Focusing on the influence of sodium hydroxide (NaOH) solution concentration, the research utilizes low calcium fly ash (Class-F) and alkaline solutions to prepare two sets of GPC. The results show distinct patterns in compressive strength development and dry shrinkage reduction, with a 14 M NaOH solution demonstrating a 26.5% lower dry shrinkage than the 16 M solution. The creep behavior indicated a high initial strain within the first 7 days, significantly influenced by curing conditions and NaOH concentration. This study contributes to the existing knowledge by providing a deeper understanding of the time-dependent properties of GPC, which is crucial for optimizing its performance in structural applications.

구조적 재정수지의 추정

  • Go, Yeong-Seon
    • KDI Journal of Economic Policy
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    • v.23 no.1_2
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    • pp.71-147
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    • 2001
  • The structural balance is obtained by neutralizing the impact of economic cycles on the actual balance. It is often used as an indicator of the long-term stability of government finance and as a measure of fiscal stance. Many countries nowadays produce and report the estimates of their structural balances regularly, and the IMF recently advised the Korean government to adopt this practice for better fiscal transparency. This paper surveys the methodologies employed by the OECD secretariat and the IMF to estimate structural balances and apply them to the Korean data. It then computes the fiscal impulse indicator (FI) and suggests a decomposition of FI into the changes in structural expenditures and revenues. In addition, primary and operational balances are estimated. The estimated series of structural balances, one by the OECD methodology and the other by the IMF, show no sizable difference from each other. These series also follow the actual series of budget balance quite closely. The latter characteristic stems from two factors, namely the rather small GDP gap and the rather small size of the tax revenue as a share of GDP. The impulse indicator estimated for the last three decades indicates that the fiscal stance in Korea contributed to smoothing the economic cycles in about half of the times. In particular, the fiscal tightening in the early 1980s to reduce inflation resulted in a pro-cyclical movement in fiscal stance as did the expansionary policy in the early 1990s. The overall performance, however, is not bad when compared with those of other countries.

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Wireless structural health monitoring of stay cables under two consecutive typhoons

  • Kim, Jeong-Tae;Huynh, Thanh-Canh;Lee, So-Young
    • Structural Monitoring and Maintenance
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    • v.1 no.1
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    • pp.47-67
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    • 2014
  • This study has been motivated to examine the performance of a wireless sensor system under the typhoons as well as to analyze the effect of the typhoons on the bridge's vibration responses and the variation of cable forces. During the long-term field experiment on a real cable-stayed bridge in years 2011-2012, the bridge had experienced two consecutive typhoons, Bolaven and Tembin, and the wireless sensor system had recorded data of wind speeds and vibration responses from a few survived sensor nodes. In this paper, the wireless structural health monitoring of stay cables under the two consecutive typhoons is presented. Firstly, the wireless monitoring system for cable-stayed bridge is described. Multi-scale vibration sensor nodes are utilized to measure both acceleration and PZT dynamic strain from stay cables. Also, cable forces are estimated by a tension force monitoring software based on vibration properties. Secondly, the cable-stayed bridge with the wireless monitoring system is described and its wireless monitoring capacities for deck and cables are evaluated. Finally, the structural health monitoring of stay cables under the attack of the two typhoons is described. Wind-induced deck vibration, cable vibration and cable force variation are examined based on the field measurements in the cable-stayed bridge under the two consecutive typhoons.

Wireless links for global positioning system receivers

  • Casciati, Fabio;Wu, Lijun
    • Smart Structures and Systems
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    • v.10 no.1
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    • pp.1-14
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    • 2012
  • Given an object, its positioning in the space is a main concern in structural monitoring and a required feedback in structural health monitoring, structural control and robotics. In addition, to make the sensor unit wireless is a crucial issue for advanced applications. This paper deals with the exploitation of wireless transmission technology to long-term monitoring GPS (Global Positioning System) receivers - like the Leica GMX 902 and the Leica GRX 1200-pro. These GPS receivers consist of five parts: antenna, receiver, user client computer, interface and power supply. The antenna is mounted on the object to be monitored and is connected with the receiver by a coaxial-cable through which the radio frequency signals are transmitted. The receiver unit acquires, tracks and demodulates the satellite signals and provides, through an interface which in this paper is made wireless, the resulting GPS raw data to the user client computer for being further processed by a suitable positioning algorithm. The power supply reaches the computer by a wired link, while the other modules rely on batteries re-charged by power harvesting devices. Two wireless transmission systems, the 24XStream and the CC1110, are applied to replace the cable transmission between the receiver and the user client computer which up to now was the only market offer. To verify the performance and the reliability of this wireless transmission system, some experiments are conducted. The results show a successful cable replacement.

SHM data anomaly classification using machine learning strategies: A comparative study

  • Chou, Jau-Yu;Fu, Yuguang;Huang, Shieh-Kung;Chang, Chia-Ming
    • Smart Structures and Systems
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    • v.29 no.1
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    • pp.77-91
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    • 2022
  • Various monitoring systems have been implemented in civil infrastructure to ensure structural safety and integrity. In long-term monitoring, these systems generate a large amount of data, where anomalies are not unusual and can pose unique challenges for structural health monitoring applications, such as system identification and damage detection. Therefore, developing efficient techniques is quite essential to recognize the anomalies in monitoring data. In this study, several machine learning techniques are explored and implemented to detect and classify various types of data anomalies. A field dataset, which consists of one month long acceleration data obtained from a long-span cable-stayed bridge in China, is employed to examine the machine learning techniques for automated data anomaly detection. These techniques include the statistic-based pattern recognition network, spectrogram-based convolutional neural network, image-based time history convolutional neural network, image-based time-frequency hybrid convolution neural network (GoogLeNet), and proposed ensemble neural network model. The ensemble model deliberately combines different machine learning models to enhance anomaly classification performance. The results show that all these techniques can successfully detect and classify six types of data anomalies (i.e., missing, minor, outlier, square, trend, drift). Moreover, both image-based time history convolutional neural network and GoogLeNet are further investigated for the capability of autonomous online anomaly classification and found to effectively classify anomalies with decent performance. As seen in comparison with accuracy, the proposed ensemble neural network model outperforms the other three machine learning techniques. This study also evaluates the proposed ensemble neural network model to a blind test dataset. As found in the results, this ensemble model is effective for data anomaly detection and applicable for the signal characteristics changing over time.

Bending of a rectangular plate resting on a fractionalized Zener foundation

  • Zhang, Cheng-Cheng;Zhu, Hong-Hu;Shi, Bin;Mei, Guo-Xiong
    • Structural Engineering and Mechanics
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    • v.52 no.6
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    • pp.1069-1084
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    • 2014
  • The long-term performance of plates resting on viscoelastic foundations is a major concern in the analysis of soil-structure interaction. As a powerful mathematical tool, fractional calculus may address these plate-on-foundation problems. In this paper, a fractionalized Zener model is proposed to study the time-dependent behavior of a uniformly loaded rectangular thin foundation plate. By use of the viscoelastic-elastic correspondence principle and the Laplace transforms, the analytical solutions were obtained in terms of the Mittag-Leffler function. Through the analysis of a numerical example, the calculated plate deflection, bending moment and foundation reaction were compared to those from ideal elastic and standard viscoelastic models. It is found that the upper and lower bound solutions of the plate response estimated by the proposed model can be determined using the elastic model. Based on a parametric study, the impacts of model parameters on the long-term performance of a foundation plate were systematically investigated. The results show that the two spring stiffnesses govern the upper and lower bound solutions of the plate response. By varying the values of the fractional differential order and the coefficient of viscosity, the time-dependent behavior of a foundation plate can be accurately captured. The fractional differential order seems to be dependent on the mechanical properties of the ground soil. A sandy foundation will have a small fractional differential order while in order to simulate the creeping of clay foundation, a larger fractional differential order value is needed. The fractionalized Zener model is capable of accounting for the primary and secondary consolidation processes of the foundation soil and can be used to predict the plate performance over many decades of time.