• 제목/요약/키워드: properties and analysis

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남해안 매립 해성점토의 물리적 특성과 압축지수의 상관성 분석 (Correlation Analysis between Physical Properties and Compression Index for Dredged and Reclaimed Marine Clay in the Southern Coast of Korea)

  • 임석훈;유남재
    • 산업기술연구
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    • 제34권
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    • pp.53-59
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    • 2014
  • The single regression method was used to analyze the correlationship between the compression index with mechanical properties for reclaimed marine clays in the southern coast of Korea. As results of performing regression analysis for 200 samples about reclaimed marine clays in the southern coast of Korea, linear regression lines between compression index and natural water content, void ratio in situ, and liquid limit respectively wer obtained. The changed properties of soil due to disturbance during dredging and reclaiming could be investigated by comparing with the existing empirical correlation equations for the original ground where dredging was performed. These regression equations might be rationally used in the preliminary evaluation of settlement of dredged and reclaimed marine clayey ground in the southern coast of Korea.

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수치정보에 의한 문화재의 공간분석 (Spatial Analysis of the Cultral Properties Using the Digital Informations)

  • 강준묵;윤희천;배상호
    • 한국측량학회지
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    • 제14권2호
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    • pp.159-166
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    • 1996
  • 문화재의 보존을 위한 3차원 정밀 측위와 이의 분석시스템에 대한 연구는 전통문화의 계승.발전 측면에서 매우 중요한 의미를 지니고 있다. 본 연구는 문화재의 보존 복원을 보다 효율적으로 하기 위해 정밀 측위기법과 수치정보분석에 관한 연구를 수행한 것이다. 국보 제 9호인 정림사 5층석탑에 대한 영상을 획득하고 표준오차 1 mm이내의 정확도로 3차원 수치정보를 구축하여 공간분석을 시도하였다. 연구결과 정확하게 3차원 모델링이 가능하였고 면적.체적 산정 및 각 단면의 기하학적 해석을 효율적으로 할 수 있었으며 중심축의 위치와 기울기 등도 도출할 수 있었으므로 앞으로 문화재의 보존을 위한 안전진단은 물론 미술사 연구 등에도 효율적으로 활용될 것으로 기대된다.

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입도분석에 기반한 Deep Neural Network를 이용한 최대 건조 단위중량 예측 모델 평가 (Evaluation of Maximum Dry Unit Weight Prediction Model Using Deep Neural Network Based on Particle Size Analysis)

  • 김명환
    • 한국농공학회논문집
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    • 제65권3호
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    • pp.15-28
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    • 2023
  • The compaction properties of the soil change depending on the physical properties, and are also affected by crushing of the particles. Since the particle size distribution of soil affects the engineering properties of the soil, it is necessary to analyze the material properties to understand the compaction characteristics. In this study, the size of each sieve was classified into four in the particle size analysis as a material property, and the compaction characteristics were evaluated by multiple regression and maximum dry unit weight. As a result of maximum dry unit weight prediction, multiple regression analysis showed R2 of 0.70 or more, and DNN analysis showed R2 of 0.80 or more. The reliability of the prediction result analyzed by DNN was evaluated higher than that of multiple regression, and the analysis result of DNN-T showed improved prediction results by 1.87% than DNN. The prediction of maximum dry unit weight using particle size distribution seems to be applied to evaluate the compacting state by identifying the material characteristics of roads and embankments. In addition, the particle size distribution can be used as a parameter for predicting maximum dry unit weight, and it is expected to be of great help in terms of time and cost of applying it to the compaction state evaluation.

주택재개발사업 특성이 재입주에 미치는 영향 (An Analysis of the Relationship Between Resettlement and Housing Redevelopment Characteristics)

  • 고덕균;김홍규
    • 한국주거학회논문집
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    • 제16권3호
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    • pp.101-107
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    • 2005
  • The reason that compulsory removals of a low-quality housing redevelopment such as involuntary or unintentional migration present a problem for urban communities is that whether involuntary movers adapt themselves to their new home has an influence on the urban communities that surround them. Moreover, involuntary emigrants have higher probability of choosing faulty residential areas than voluntary emigrants do. This gives rise to a problem of another residential migration for involuntary movers. In order to solve these problems, there is a need for a new housing policy that enables original residents to come back to their old community. However studies for resettlement had not conducted subjects about housing redevelopment characteristics which influences the involuntary movers directly. Instead personal microscopic characteristics such as statistics of resettlement, the moving distance, the reason of moving, improvement of living environment, had been main subjects of farmer studies. So the purpose of this study is to analyze an analysis of the relationship between resettlement and housing redevelopment characteristics. The data used in this study was obtained at 47 areas designated by Seoul (metropolis) since 1990 for redevelopment. Cluster Analysis Is used for dividing high rate of resettlement with low rate of resettlement and Regression Analysis is used for the analysis of the relationship between resettlement and housing redevelopment characteristics. The results of examining the effects of a redeveloped housing complex on returning residents at 47 areas designated by Seoul (metropolis) since 1990 fur redevelopment are as follows: First, A housing complex with a high returning rate (remove-in rate?) has no state/public land, unauthorized building owners who are in the low-income brackets, and few interested parties such as union members. This is the characteristic of a redeveloped housing complex with a short-period project span. On the contrary, a housing complex that has a low returning rate is crowded by state/public land, and numerous unauthorized building owners, and interested parties. Second, According to the linear regression analysis, among the factors that affect returning residents, 'physical properties(characteristics) of a region', 'population properties within a region', and 'properties of a project span' indicate a negative(-)influence whereas 'properties of a complex density' shows a positive(+) influence. In a nutshell, the more the physical properties, population properties, projectspan properties, the lower the returning rate and the more the complex density properties, the higher the returning rate. In detail, an area with many small land and new/large buildings, a high population, and a long project duration has a low returning rate of original residents while an area holding large capacity and buildings with many number of floors (multiple-storied building) has a high returning rate.

유동층연소로에서 압력요동특성치를 이용한 비유동화 상태 해석 (Analysis of Defluidization Using Pessure Fluctuation Properties in a Fuidized Bed Combustor)

  • 장현태;유정근
    • 한국안전학회지
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    • 제12권2호
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    • pp.111-118
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    • 1997
  • Granulation procedure was carried out in a 0.109m I. D., 1.8m height fluidized bed coal combustor of the multi-sized particles. The domestic anthracite with heating value 3240kcal/kg was used. Granulation of fine coal particles and fluidizing characteristics were investigated by the pressure fluctuation properties such as mean pressure, standard deviation of pressure fluctuation and power spectrum distribution. Defluidization state and granulation mechanism were also studied by the various analysis. It was found that the conversion efficiency in the elutriated stream was increased by the coalescence of fine coal particles. Defluidization and pressure fluctuation properties were interrelated and this result was indication of the capabilities of pressure fluctuation properties analysis in the diagnostics of fluidizing state.

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액중 방전 성형과 인공신경망 기법을 활용한 Cowper-Symonds 구성 방정식의 변형률 속도 파라메터 역추정 (Estimating Strain Rate Dependent Parameters of Cowper-Symonds Model Using Electrohydraulic Forming and Artificial Neural Network)

  • 변한비;김정
    • 소성∙가공
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    • 제31권2호
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    • pp.81-88
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    • 2022
  • Numerical analysis and dynamic material properties are required to analyze the behavior of workpiece during an electrohydraulic forming (EHF) process. In this study, EHF experiments were conducted under three conditions (6, 7, 8 kV). Dynamic material properties of Al 5052-H34 were inversely estimated through an ANN (Artificial Neural Network) model constructed based on LS-Dyna analysis results. Parameters of Cowper-Symonds constitutive equation, C and p, were used to implement dynamic material properties. By comparing experimental results of three conditions with ANN model results, optimized parameters were obtained. To determine the reliability of the derived parameters, experimental results, LS-Dyna analysis results, and ANN results of three conditions were compared using MSE and SMAPE. Valid parameters were obtained because values of indicators were within confidence intervals.

깊이별 지반특성변화가 강우침투에 의한 사면표층 파괴에 미치는 영향 (Effect of Depth-Variant Soil Properties on Shallow Failure of Slope during Rain Infiltration)

  • 박가현;김지영;정충기;김경석
    • 한국지반공학회논문집
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    • 제30권6호
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    • pp.41-49
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    • 2014
  • 집중강우 시에는 사면의 얕은 심도에서 파괴가 빈번하게 발생한다. 사면의 표층 지반은 심도에 따라서 조밀해지는 특성이 있으며 지반의 투수특성과 강도특성도 달라지므로 강우시 사면의 얕은 심도에서 발생하는 파괴의 원인분석과 안정해석은 이러한 지반특성 변화를 고려할 필요가 있다. 본 연구에서는 사면의 표층 부근의 지반특성 변화가 강우시 사면의 안정성에 미치는 영향을 수치해석적으로 분석해 보고자 하였으며, 표층 근처에서 심도에 따라 구한 지반특성 값을 적용하는 방식에 따라 강우침투와 사면안정해석 결과의 차이를 비교해 보았다. 실제 강우시 파괴가 발생한 사면을 대상으로 사면의 표층에서 심도별로 시료를 채취하여 전단강도와 투수특성 등 지반특성을 구하였으며, 파괴를 유발한 강우기록을 적용하여 침투해석과 안정해석을 실시하였다. 해석결과 깊이별 지반의 특성 변화를 고려한 경우와 단일지층으로 가정하여 고려하는 방식에 따라 간극수압 분포, 예상파괴면, 안전율 변화에 차이가 있는 것으로 나타났으며, 깊이별 지반 특성 변화를 고려하는 경우가 실제 파괴거동과 유사한 결과를 나타내었다. 이러한 결과는 강우침투에 의한 표층파괴현상을 규명하고자 하는 경우 지반의 심도별 지반특성 변화를 고려할 필요가 있음을 의미한다.

나노 인덴테이션의 하중-변위 곡선을 이용한 용융아연도금 강판 코팅층의 기계적 특성 결정 (Determination of the Mechanical Properties of the Coated Layer in the Sheet Metal Using Load-Displacement Curve by Nanoindentation Technique)

  • 고영호;이정민;김병민
    • 소성∙가공
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    • 제13권8호
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    • pp.731-737
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    • 2004
  • Mechanical properties such as Young's modulus and hardness of thin film in coated steel are difficult to determine by nano-indentation from the conventional analysis using the load-displacement curve. Therefore, an analysis of the nano-indentation loading-unloading curve was used to determine the Young's modulus, hardness. A new method is recently being developed for elastic-plastic properties of materials from nano-indentation. Elastic modulus of the thin films shows relatively small influence whereas yield strength is found to have significant effect on measured data. The load-displacement curves of material tested with a Berkovich indenter and nano-indentation continuous stiffness method is used to measure the modulus and hardness through thin films, and then these are computed using the analysis procedure. The developed neural networks apply also to obtain reliable mechanical properties.

Parametric Analysis of High-Strength Reinforced Concrete Beams at High Temperature

  • 최은규;강지연;신미경;신영수
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2004년도 추계 학술발표회 제16권2호
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    • pp.585-590
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    • 2004
  • An analytical method is proposed for the analysis of the reinforced concrete flexural beam subjected to high temperature. The analysis procedure for the material properties, in this study, is subdivided into two types; thermal properties for temperature distribution analysis and mechanical properties for structural analysis. Using F.D.M. and segmentation method, the program was made to predict the thermal behavior of RC beams during heating. In previous studies, the structural behavior of fire damaged RC beams was investigated though experiments. Comparing the result by program to the one by experiment, the comparison indicated that the proposed segmentation method for the thermal respose analysis present fairly a good agreement with experiment.

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