• Steel and Composite Structures
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• 제2권5호
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• pp.397-410
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• 2002

The main aim of the present paper is to present the results of a full-scale experimental investigation to study the structural behaviour of composite steel beams. The composite beam was made of cold-formed steel section shapes filled with reinforced concrete. First a comprehensive description of the experimental results in terms of: deflections, deformations, slippage and stress levels on critical steps of the load path is presented. The experimental results were then compared to theoretical values obtained by the use of an analytical model based on ultimate limit state stress blocks. Finally, a practical application of the use of this structural solution is depicted.

• Structural Engineering and Mechanics
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• 제67권3호
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• pp.267-275
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• 2018

A numerical study of soil-foundation system under monotonic and cyclic pushover loading is conducted, taking into account both material and geometric nonlinearities. A complete and refined 3D finite element (FE) model, using contact condition and allowing separation between soil and foundation, is implemented and used in order to evaluate the nonlinear relationship between applied vertical forces and induced settlements. Based on the obtained curve, a simplified model is proposed, in which the soil inelasticity is satisfactorily represented by two vertical springs with trilinear behavior law, and the foundation uplifting is insured by gap elements. Results from modeling soil-foundation system supporting a bridge pier have shown that the simplified model is able to capture irreversible settlements induced by cyclic rocking, due to soil inelasticity and vertical loading, as well as large rotations due to foundation uplifting.

• Structural Engineering and Mechanics
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• 제76권1호
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• pp.57-65
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• 2020

It is very important to allocate valuable resources efficiently when reconstructing buildings after earthquake damage. This paper proposes the use of a simple seismic retrofitting system to make buildings more resilient than the stiffer systems such as the shear walls implemented in Chile after the earthquake in 2010. The proposal is based on the use of steel chevron-type braces in RC buildings as a dual system to improve the seismic performance of multistory buildings. A case study was carried out to compare the proposal with the shear wall solution for the typical seismic Chilean RC building from the structural and economic perspectives. The results show that it is more resilient than other stiffer seismic solutions, such as shear walls, reduces the demand, minimizes seismic damage, gives reliable earthquake protection and facilitates future upgrades and repairs while achieving the level of immediate occupancy without the costs of the shear walls system.

• Earthquakes and Structures
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• 제3권3_4호
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• pp.383-411
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• 2012

The objective of the present paper is to review and implement the most recent developments in the Spectral Element Method (SEM), as well as improve aspects of its implementation in the study of wave propagation by numerical simulation in elastic unbounded domains. The classical formulation of the method is reviewed, and the construction of the mass matrix, stiffness matrix and the external force vector is expressed in terms of matrix operations that are familiar to earthquake engineers. To account for the radiation condition at the external boundaries of the domain, a new absorbing boundary condition, based on the Perfectly Matched Layer (PML) is proposed and implemented. The new formulation, referred to as the Multi-Axial Perfectly Matched Layer (M-PML), results from generalizing the classical Perfectly Matched Layer to a medium in which damping profiles are specified in more than one direction.

• Computers and Concrete
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• 제27권2호
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• pp.175-184
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• 2021

The incorporation of pozzolans to Portland cement pastes adds value in the development of new materials for the construction industry. This study presents a new computational method, complementary to the pozzolanic identification by compressive strength at 28 days method, for supporting the validation of pozzolanic mortars for non-structural purposes. An algorithm capable of classifying the pixels of micrographs of specimens fragments was developed. Therefore, comparative analyses were generated from fractional Gaussian representations in four intervals of the same amplitude that indicated the predispositions to form larger void indices (intervals 1 and 2). The results showed that the computational method indicators are in accordance with the physical and chemical indicators.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.3112-3112
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• 2001

Near-Infrared Spectroscopy (NIRS) was investigated aiming at the identification of falsified drugs. The identification is based on comparison of the NIR spectrum of a sample with a typical spectra of an authentic drug using multivariate modelling and classification algorithms (PCA/SIMCA). Two spectrophotometers (Brimrose - Luminar 2000 and 2030), based on acoustic-optical filter (AOTF) technology, sharing the same controlling computer, software (Brimrose - Snap 2.03) and the data acquisition electronics, were employed. The Luminar 2000 scans the range 850 1800 nm and was employed for transmitance/absorbance measurements of liquids with a transflectance optical bundle probe with total optical path of 5 mm and a circular area of 0.5 $\textrm{cm}^2$. Model 2030 scans the rage 1100 2400 nm and was employed for reflectance measurement of solids drugs. 300 spectra, acquired in about 20 s, were averaged for each sample. Chemometric treatment of the spectral data, modelling and classification were performed by using the Unscrambler 7.5 software (CAMO Norway). This package provides the Principal Component Analysis (PCA) and SIMCA algorithms, used for modelling and classification, respectively. Initially, NIRS was evaluated for spectrum acquisition of various drugs, selected in order to accomplish the diversity of physico-chemical characteristics found among commercial products. Parameters which could affect the spectra of a given drug (especially if presented as solid tablets) were investigated and the results showed that the first derivative can minimize spectral changes associated with tablet geometry, physical differences in their faces and position in relation to the probe beam. The effect of ambient humidity and temperature were also investigated. The first factor needs to be controlled for model construction because the ambient humidity can cause spectral alterations that should cause the wrong classification of a real drug if the factor is not considered by the model.

• 복식
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• 제54권2호
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• pp.105-119
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• 2004

Cultural hybridization and global cross-fertilization, begun since the 1990s, mean the hybrid mixture of the low-class popular arts and the high-class fine arts and have found expression in intertextuality by means of the thinking system of de-constructuralist post-modernism. This study was intended to investigate the artistic intertextuality between fashion and art frontiere, especially between such fields as 'animation', 'music', and 'performing arts' and 'fashion', which shows the greatest characteristic of the phenomenon that the non-mainstream culture flows into the mainstream culture. It also aimed to investigate the intertextuality between 'technology' and 'fashion' as the delivery room of the youth culture and copycat culture due to the benefit of technologies since the 20th-century digital revolution. Animation as the neo-pop art with the popular code coming to the forefront in the 21th century integrated high-class fashion and low-class fashion into one through the combination of fashion and humor, and the musical element referring to the social difference of the cultural field and the social strata is becoming the 21th-century fashion icon through its fusion with the pictorial tendency along with the leisure-time life of the non-mainstream strata. In terms of intertextuality in performing arts, fashion style performs an important role in the presentation of performing arts and since the de-construction of the fin-de-ciecle form and its fusion with media have taken place, fashion works become and element of the origin that has an influence on a series of film, dance, dramatic elements and the like. The paradigm of technology made it socially and culturally possible to achieve the architecture of clothing system necessary for fashionable technical clothing by allowing the possibility of imitation, the function of technology to form popular culture. The intertextual tendency in the 21th-century fashion began from the de-constructive phenomenon of existing norms and now takes the multicultural character of surpassing a certain domain or concept. And it positions itself as the total art of spearheading the low-class culture and the non-mainstream culture as the hybrid domain of mainstream and non-mainstream cultures or high-class and low-class cultures.

• 에너지공학
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• 제17권2호
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• pp.88-99
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• 2008

본 논문에서는 WADE Economic Model을 이용하여 분산형전원 구축 시나리오에 따른 우리나라 전력계통의 영향을 정량적으로 평가하였다. WADE Economic Mode 미래의 증가하는 전력수요량[kWh]을 충족시키기 위하여 고려대상기간 동안의 매 년도에 대한 판매전력량 부족분[kWh]을 산정하고 판매전력량 부족분[kWh] 만족시키기 위한 신설발전설비를 시나리오에 따라 CG(Centralized Generation)전원과 DE(Decentralized Energy)전원인 두 가지 그룹으로 조합하여 담당하게 된다. 이와 같이 산정된 미래의 신설설비계획[kW]및 발전량[kWh]을 근거로 발전설비 및 송배전설비 건설비[원], 설비운전유지비[원], 연료비[원], 환경비[원]를 계산하여 전력소매요금을 산정한다. 본 연구에서는 WADE Economic Mode의 적용을 위한 우리나라 실 데이터를 구축하고 이를 WADE Economic Model에 적용하여 우리나라 전력계통에 분산형전원을 투입 시 미치는 영향을 분석함으로서 향후 우리나라 전력수급기본계획의 수립에 필요한 유용한 정보를 도출하도록 하였다.

• Advances in concrete construction
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• 제14권1호
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• pp.71-77
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• 2022

Creep phenomenon affects the stability and integrity of concrete structures. An inaccurate prediction of these strains may lead to the appearance of cracks and excessive deflections which may cause in some cases the demolition of structures. In fact, the measured values of these uncontrolled strains appear often to be clearly different and larger than the expected ones. Therefore, an accurate prediction of concrete deformations is a necessity. As a matter of fact, the codified descriptions of this phenomenon are unreliable and don't consider the effect of admixtures. The physical nature of creep is not well understood and almost all creep models are mainly of empirical nature. To overcome this issue, a study of the correlation between different parameters affecting concrete creep is performed and a new model for predicting creep of concrete is elaborated. This new model considers the effect of admixtures, specifically the silica fume, in predicting concrete creep and allows an accurate prediction of this phenomenon. The proposed model is based on the observation of physical behavior of creep phenomenon. It targets at expressing creep compliance in terms of structural and environmental parameters. In fact, the experimental observations show that creep curves follow two kinetic regimes leading to a model called Phenomenological Creep Model. By adequate regressions and substitutions, and according to this model, we can express creep compliance in terms of structural, environmental parameters and admixture types and percentage. The proposed new Phenomenological Creep Model Silica Fume (PCM19SF) calculates accurately creep of concrete by considering the effect of silica fume.