• Computers and Concrete
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• 제1권3호
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• pp.303-324
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• 2004

The Component-Based Software Development (CBSD) has established itself as a sound paradigm in the software engineering discipline and has gained wide spread acceptance in the industry. The CBSD relies on the availability of standard software components for encapsulation of specific functionality. This paper presents the framework for the development of a software component for the design of general member cross-sections. The proposed component can be used in component-based structural engineering software or as a stand-alone program developed around the component. This paper describes the use-case scenarios for the component, its design patterns, object models, class hierarchy, the integrated and unified handling of cross-section behavior and implementation issue. It is expected that a component developed using the proposed patterns and model can be used in analysis, design and detailing packages to handle reinforced concrete, partially prestressed concrete, steel-concrete composite and steel sections. The component can provide the entire response parameters of the cross section including determination of geometric properties, elastic stresses, flexural capacity, moment-curvature, and ductility ratios. The component can also be used as the main computational engine for stand-alone section design software. The component can be further extended to handle the retrofitting and strengthening of cross-sections, shear and torsional response, determination of fire-damage parameters, etc.

• 한국안전학회지
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• 제34권5호
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• pp.95-102
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• 2019

Non-destructive methods such as rebound hardness method and ultrasonic method are widely studied for evaluating the physical properties, condition and damage of concrete, but are not suitable for detecting delamination and cracks near the surface due to various constraints of the site as well as the accuracy. Therefore, in this study, the impact resonance method was applied to detect the separation cracks occurring near the surface of the concrete slab and bridge deck. As a next step, the principal component analysis were performed by extracting various features using the FFT data. As a result of principal component analysis, it was analyzed that the reliability was high in distinguishing defects in concrete. This feature extraction and application of principal component analysis can be used as basic data for future use of machine learning technique for the better accuracy.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2003년도 봄 학술발표회 논문집
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• pp.237-242
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• 2003

The object of this study is to investigate the strength development properties and the strength prediction of three-component concrete using the fly ash and the blast-furnace slag by a maturity method. The results were as follows. The values of the activation energy on this experiment are calculated as 38.69, 36.47, 32.46, 30.99 KJ/mol in the W/B 60, 55, 50, 45%. And it is considered that the equivalent age can be used to predict strength of the three-component concrete in the optional age. Also the strength of the three-component concrete can be predicted from the result of high correlation between predicted strength and measured strength.

• 한국도로학회논문집
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• 제14권4호
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• pp.51-61
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• 2012

PURPOSES : This study deals with the working life of polymer concrete, which is typically used as a repair or overlay material for portland cement concrete pavements. METHODS : In the scope of this study, laboratory testing was conducted on fresh MMA modified UP polymer concrete, which uses an MMA monomer for viscosity adjustment and strength improvement of UP resin. The experimental variables were temperature (-20 to $+20^{\circ}C$) and binder components (MMA, MEKPO, and DMA). RESULTS : The result showed that the optimum binder ratios for polymer concrete production were 12, 11, and 10 wt.% when the MMA contents were 20, 30, and 40 wt.%, respectively. The working life of polymer concrete depending on temperature and binder components could be expressed by a logarithmic functional formula. The coefficient of variation for each binder component was the highest for DMA content while the lowest for MEKPO content. Also, the contents of each binder component for ensuring the working life of 60 minutes were proposed. CONCLUSIONS : Ultimately, the present study derived a linear regression equation estimating 60 minutes working life based on the setting times of each binder component.

• Earthquakes and Structures
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• 제13권4호
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• pp.409-419
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• 2017

In order to analyze the vibration control effect of viscous damper in the concrete archaized buildings with lintel-column joints under seismic action, 3 specimens were tested under dynamic excitation. Two specimens with viscous damper were defined as the controlled component and one specimen without viscous damper was specified as the non-controlled component. The loading process and failure patterns were obtained from the test results. The failure characteristics, skeleton curves and mechanical behavior such as the load-displacement hysteretic loops, load carrying capacity, degradation of strength and rigidity, ductility and energy dissipation of the joints were analyzed. The results indicate that the load-bearing capacity of the controlled component is significantly higher than that of the non-controlled component. The former component has an average increase of 27.4% in yield load and 22.4% in ultimate load, respectively. Meanwhile, the performance of displacement ductility and the ability of energy dissipation for the controlled component are superior to those of the non-controlled component as well. Compared with non-controlled component, equivalent viscous damping coefficients are improved by 27.3%-30.8%, the average increase is 29.0% at ultimate load for controlled component. All these results reflect that the seismic performance of the controlled component is significantly better than that of the non-controlled component. These researches are helpful for practical application of viscous damper in the concrete archaizing buildings with lintel-column joints.

• 콘크리트학회논문집
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• 제27권5호
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• pp.559-568
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• 2015

본 연구에서는 감수제의 감수 효율에 따른 다성분계 결합재를 사용한 콘크리트의 물리적 특성에 대한 영향을 평가하기 위하여 고성능 감수제의 종류 3수준(0%, 8% 및 16%) 및 물-결합재비 3수준(40%, 45% 및 50%)에 따른 플라이애시 및 고로슬래그 미분말을 사용한 다성분계 콘크리트 배합을 제조하였다. 또한, 신뢰성 확보를 위하여 콘크리트 배합은 3회 반복실험을 실시하였다. 실험결과, 감수제 종류에 따른 압축강도는 약 20% 이상의 압축강도 차이가 발생하였으며, 감수제의 감수 효율이 콘크리트의 품질에 크게 영향을 미치는 것으로 나타났다. 따라서 감수제의 감수 효율을 반영한 다성분계 콘크리트의 압축강도 예측 모델식을 도출하였으며, 90% 이상의 높은 상관성이 있는 것으로 나타났다.

• 한국멀티미디어학회논문지
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• 제9권6호
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• pp.750-761
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• 2006

As CBD technologies and researches have been matured, component framework as a larger reuse unit than component is being introduced. Especially issues related with adaptation and integration of components in CBD are being raised as a new research topic. The component framework is given as a solution to resolve these issues. However, current approaches don't suggest a sound and comprehensive reference model and development process applying reference model. In order to develop practical and stable component framework, reference model and concrete guidelines are essential elements. In this paper, we propose a generic reference model integrating existing reference models and a design technique of component framework based on it. Especially, we propose concrete and pragmatic guidelines such as how to design component framework architecture's view and style, how to design commonality and variability of component framework, how to design macro workflows among components, and so on. We believe that the proposed reference model becomes basis for component framework development, and the proposed design technique will support reliable and effective development of the component framework.

• 한국건축시공학회지
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• 제9권2호
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• pp.85-91
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• 2009

W/C and unit volume, which significantly affect quality of concrete related to strength and durability, are regulated at below $185kg/m^3$ for regular concrete generally used in standard specification for constructions. The aim of this research is to develop chemical admixture and find out its potential use by identifying characteristics of admixtures added to soft concrete and hardening concrete, of which content ratio of component for each type of admixtures is subject to change in accordance with unit volume within KS' allowable range. Sodium gluconate, polyoxyethylene nonylphenyl ether, poly carboxylic copolymer in slump, which is characteristic of soft concrete, are deemed highly sensitive while there is no air entrainment except for $10\sim70%$ in WE, WR component content ratio and NP. In hardening concrete, strength in general showed higher action in compressive strength and tensile strength than in plain strength. Use of proper AE agent and AE water reducing agent at the same time is deemed to be used as chemical admixtures capable of manufacturing high-quality, high-quantity concrete.

• 한국구조물진단유지관리공학회 논문집
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• 제27권5호
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• pp.16-22
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• 2023

이 연구는 원전 콘크리트 배합설계를 모사한 콘크리트 시험체에 대하여 염수침지 실험을 수행하였으며, 시험체 깊이에 따른 염화물량과 XRF 성분의 상관관계를 분석하였다. 원전 콘크리트의 표면부의 염화물량은 염수 침지기간이 증가함에 따라 소폭 증가하였으나, 깊이 5.5 mm 이상의 콘크리트 시험체 내부 염화물량은 염수 침지기간이 증가함에 증가하는 경향이 뚜렷하게 나타났다. 콘크리트의 염화물량과 XRF 성분의 상관관계 분석결과, OPC 배합과 비교하여 FA가 20% 치환된 배합은 XRF 성분분석을 통한 Cl 이온의 구성비율과 염해저항성 평가결과의 상관관계가 매우 높게 나타났다. 이에 따라 FA가 20% 치환된 원전 콘크리트 배합에서는 반복적인 데이터 누적을 통해 XRF 성분분석을 통하여 염소이온분석 및 염해저항성능 평가가 가능함을 확인하였다.

• Computers and Concrete
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• 제10권6호
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• pp.557-573
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• 2012

This paper discusses the combined application of two different techniques, Neural Networks (NN) and Principal Component Analysis (PCA), for improved prediction of concrete properties. The combination of these approaches allowed the development of six neural networks models for predicting slump and compressive strength of concrete with mineral additives such as blast furnace slag, fly ash and silica fume. The Back-Propagation Multi-Layer Perceptron (BPMLP) with Bayesian regularization was used in all these models. They are produced to implement the complex nonlinear relationship between the inputs and the output of the network. They are also established through the incorporation of a huge experimental database on concrete organized in the form Mix-Property. Thus, the data comprising the concrete mixtures are much correlated to each others. The PCA is proposed for the compression and the elimination of the correlation between these data. After applying the PCA, the uncorrelated data were used to train the six models. The predictive results of these models were compared with the actual experimental trials. The results showed that the elimination of the correlation between the input parameters using PCA improved the predictive generalisation performance models with smaller architectures and dimensionality reduction. This study showed also that using the developed models for numerical investigations on the parameters affecting the properties of concrete is promising.