• 제목/요약/키워드: Construction reproducibility

검색결과 35건 처리시간 0.03초

LIBS를 활용한 수용액과 모르타르 내 염화물량 분석 (Analysis of Chloride Content in Aqueous Solution and Mortar using Laser Induced Breakdown Spectroscopy)

  • 류화성;박원준
    • 한국건축시공학회지
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    • 제21권3호
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    • pp.189-194
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    • 2021
  • 본 연구에서는 Lab. 스케일 LIBS 장치를 제작하여 모르타르 내 염화물 분석에서의 LIBS 적용성과 재현성 검토를 수행하였다. 염화물 함량을 조절한 모르타르를 대상으로 기존의 분석방법(XRF, 전위차 적정법)과 LIBS 분석을 동시에 진행하였다. LIBS 분석 결과, 염소이온은 837.59nm 파장에서 검출되었고, 다양한 농도 구간에서의 정밀도를 향상시키기 위하여 전기장 강화를 통한 약 50배의 LIBS 신호증폭을 구현하였다. 수용액 기반의 재현성을 검증을 통하여 LIBS 신호 강도와 Cl농도 사이의 높은 상관관계를 확인할수 있었으며, 콘크리트 염해 내구성 진단에 LIBS적용 가능성을 확인하였다.

로드셀과 토크암을 이용한 대용량 토크 측정장치 개발에 관한 연구 (Development of device measuring very high torque via torque arm with attached load cells)

  • 이용범;한승호
    • 유공압시스템학회논문집
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    • 제7권1호
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    • pp.6-10
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    • 2010
  • A measurement of very high torque for track drive unit in construction equipment is usually in difficulties due to the requirement of a torque meter with high capacity, and the limitation of geometry for an experimental set-up. To improve the troublesome problem, a new device was proposed, where a torque transmitted through the torque arm can be measured by load cells attached at each torque arm. The experimental set-up of the new device was carried out in order to measure the torque values for a mechanical feedback type planetary gear box, in which the power flow circulates itself in a closed-loop. The new device enables to measure torque values of 60,000Nm. Additionally, the measured values were estimated statistically in the aspect of their repeatability and reproducibility, so that an acceptable behaviour as a measuring device can be confirmed.

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Effect of arbitrarily manipulated gap-graded granular particles on reinforcing foundation soil

  • Xin, Zhen H.;Moon, Jun H.;Kim, Li S.;Kim, Kab B.;Kim, Young U.
    • Geomechanics and Engineering
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    • 제17권5호
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    • pp.439-444
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    • 2019
  • It is generally known that high strength soil is indicative of well-graded particle size distribution. However, there are some special cases of firm ground despite poor grade distribution, especially a specific gap-graded soil. Based on these discoveries, this study investigated the development of an additive of gap-graded soils designed to increase soil strength. This theoretical concept was used to calculate the mixed ratio required for optimal soil strength of the ground sample. The gap-graded aggregate was added according to Plato's polyhedral theory and subsequently calculated ratio and soil strength characteristics were then compared to characteristics of the original soil sample through various test results. In addition, the underground stress transfer rate was measured according to the test conditions. The test results showed that the ground settlement and stress limit thickness were reduced with the incorporation of gap-graded soil. Further field tests would confirm the reproducibility and reliability of the technology by using gap-graded soil to reinforce soft ground of a new construction site. Gap-graded soil has the potential to reduce the construction cost and time of construction compared to other reinforcing methods.

딥러닝과 머신러닝을 이용한 FDR 센서의 콘크리트 단위수량 평가에 관한 연구 (A Study on the Evaluation of Concrete Unit-Water Content of FDR Sensor Using Deep Learning and Machine Learning)

  • 이승엽;윤지원;위광우;양현민;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
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    • pp.29-30
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    • 2022
  • The unit-water content has a very significant effect on the durability of the construction structure and the quality of concrete. Although there are various methods for measuring the unit-water content, there are problems of time required for measurement, precision, and reproducibility. Recently, there is an FDR sensor capable of measuring moisture content in real time through an apparent dielectric constant change of electromagnetic waves. In addition, various artificial intelligence techniques that can non-linearly supplement the accuracy of FDR sensors are being studied. In this study, the accuracy of unit-water content measurement was compared and evaluated using machine learning and deep learning techniques after normalizing the data secured in concrete using frequency domain reflectometry (FDR) sensors used to measure soil moisture at home and abroad. The result of comparing the accuracy of machine learning and deep learning is judged to be excellent in the accuracy of deep learning, which can well express the nonlinear relationship between FDR sensor data and concrete unit-water content.

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SWAT 모형을 이용한 대유역 강우-유출해석: 메콩강 유역을 중심으로 (Large Scale Rainfall-runoff Analysis Using SWAT Model: Case Study: Mekong River Basin)

  • 이대업;유완식;이기하
    • 한국농공학회논문집
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    • 제60권1호
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    • pp.47-57
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    • 2018
  • This study implemented the rainfall-runoff analysis of the Mekong River basin using the SWAT (Soil and Water Assessment Tool). The runoff analysis was simulated for 2000~2007, and 11 parameters were calibrated using the SUFI-2 (Sequential Uncertainty Fitting-version 2) algorithm of SWAT-CUP (Calibration and Uncertainty Program). As a result of analyzing optimal parameters and sensitivity analysis for 6 cases, the parameter ALPHA_BF was found to be the most sensitive. The reproducibility of the rainfall-runoff results decreased with increasing number of stations used for parameter calibration. The rainfall-runoff simulation results of Case 6 showed that the RMSE of Nong Khai and Kratie stations were 0.97 and 0.9, respectively, and the runoff patterns were relatively accurately simulated. The runoff patterns of Mukdahan and Khong Chaim stations were underestimated during the flood season from 2004 to 2005 but it was acceptable in terms of the overall runoff pattern. These results suggest that the combination of SWAT and SWAT-CUP models is applicable to very large watersheds such as the Mekong for rainfall-runoff simulation, but further studies are needed to reduce the range of modeling uncertainty.

Potentiometric Sensor for the Determination of Dibucaine in Pharmaceutical Preparations and Electrochemical Study of the Drug with BSA

  • Ensafi, Ali A.;Allafchian, A.R.
    • Bulletin of the Korean Chemical Society
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    • 제32권8호
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    • pp.2722-2726
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    • 2011
  • Plasticized poly(vinyl chloride), PVCs, with different membrane compositions tested for use in the construction of an ion-selective sensor for the determination dibucaine. A prepared membrane with dioctyl phthalate-PVC and ion-pair of N-(1-naphthyl)ethylenediamine dihydrochloride-tetraphenyl borate had a good potential to acts as a potentiometric sensor for the analysis of dibucaine. A linear relationship was obtained between potential and logC varying between $1.0{\times}10^{-6}$ and $1.0{\times}10^{-2}$ M dibucaine with a good repeatability and reproducibility. The sensor was applied for the determination of the drug in pharmaceuticals and biological fluids such as plasma and urine samples with satisfactory results. The drug electrode has also been used to study the interaction of bovine serum albumin (BSA) with dibucaine. The saturated quantities of dibucaine binding were 13.04, 5.30 and 9.70 mol/mol in 0.01, 0.02 and 0.1% of protein, respectively.

Development of a Human-Clothing-Environment Simulator for Dynamic Heat and Moisture Transfer Properties of Fabrics

  • Kim, Eun Ae;Yoo, Shinjung;Kim, Jeongjin
    • Fibers and Polymers
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    • 제4권4호
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    • pp.215-221
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    • 2003
  • A vertical skin model with two detachable environmental chambers was developed to simulate a Human-Clothing-Environment system and to evaluate heat and moisture transport properties of textile materials under severe conditions and during transient states. The construction of the system was described and data reproducibility and accuracy of the instrument were verified by using PEG treated nonwovens. Also advantages over a traditional static type experiment were demonstrated based on a series of experiments.

Development of Respiratory Motion Reduction Device System (RMRDs) for Radiotherapy in Moving Tumor: Construction of RMRDs and Patient Setup Verification Program

  • Lee, Suk;Chu, Sung-Sil;Lee, Sei-Byung;Jino Bak;Cho, Kwang-Hwan;Kwon, Soo-Il;Jinsil Seong;Lee, Chang-Geol;Suh, Chang-Ok
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2002년도 Proceedings
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    • pp.86-89
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    • 2002
  • The purpose is to develop a system to reduce the organ movement from the respiration during the 3DCRT or IMRT. This research reports the experience of utilizing personally developed system for mobile tumors. The patients clinical database was structured for 10 mobile tumors and patient setup error measurement and immobilization device effects were investigated. The RMRD system is composed of the respiratory motion reduction device utilized in prone position and abdominal strip device(ASD) utilized in the supine position, and the analysis program, which enables the analysis on patients setup reproducibility. Dose to normal tissue between patients with RMRDs and without RMRDs was analyzed by comparing the normal tissue volume, field margins and dose volume histogram(DVH) using fluoroscopy and CT images. And, reproducibility of patients setup verify by utilization of digital images. When patients breathed freely, average movement of diaphragm was 1.2 cm in prone position in contrast to 1.6 cm in supine position. In prone position, difference in diaphragm movement with and without RMRDs was 0.5 cm and 1.2 cm, respectively, showing that PTV margins could be reduced to as much as 0.7 cm. With RMRDs, volume of the irradiated normal tissue (lung, liver) reduced up to 20 % in DVH analysis. Also by obtaining the digital image, reproducibility of patients setup verify by visualization using the real-time image acquisition, leading to practical utilization of our software. Internal organ motion due to breathing can be reduced using RMRDs, which is simple and easy to use in clinical setting. It can reduce the organ motion-related PTV margin, thereby decrease volume of the irradiated normal tissue.

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온·오프라인 매개변수 보정기법에 따른 강우-유출해석 적용성 평가 (Evaluation on applicability of on/off-line parameter calibration techniques in rainfall-runoff modeling)

  • 이대업;김연수;유완식;이기하
    • 한국수자원학회논문집
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    • 제50권4호
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    • pp.241-252
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    • 2017
  • 본 연구에서는 오프라인 및 온라인 매개변수 자동보정기법을 이용하여 개념적 집중형 수문모형의 매개변수를 보정한 후, 각 보정기법에 따른 강우-유출 해석 결과를 비교 분석하여 기법별 적용성을 평가하였다. 이를 위해 용담댐 상류 천천 유역을 대상으로 9개의 단기 강우사상을 선정하고, 강우-유출 모의를 위한 수문모형으로 저류함수모형을 선택하였다. 또한 저류함수모형의 매개변수 보정을 위한 자동보정기법으로 오프라인 기법으로는 SCE-UA, 온라인 기법으로는 파티클 필터를 선정하여 해석을 수행하였다. 각 기법에 따른 유출 해석결과의 재현성 평가를 위해 관측수문곡선의 평균유량을 근거로 하여 저수부(평균유량 이하)와 고수부(평균유량 초과)로 구분하여 모의결과를 비교 검토하였다. 그 결과, 매 시간 입력자료를 이용하여 매개변수를 실시간으로 업데이트하는 파티클 필터의 경우, 저수부와 고수부에 구분없이 전반적으로 우수한 재현성을 보여주었다. 반면에 SCE-UA의 경우, 대상 사상에 대한 전체기간의 정보를 활용하여 선택된 목적함수 RMSE와 HMLE를 최소로 하는 최적 매개변수를 추정함에 따라 일정규모 이상의 홍수사상에서는 목적함수에 따라 매개변수의 변동성이 나타났으며, 고수부에서는 RMSE, 저수부에서는 HMLE가 비교적 우수한 유출모의 결과를 나타내는 것으로 분석되었다.

UAS와 지상 LiDAR 조합에 의한 수직 구조물의 3차원 공간정보 구축 (Construction of 3D Spatial Information of Vertical Structure by Combining UAS and Terrestrial LiDAR)

  • 강준오;이용창
    • 지적과 국토정보
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    • 제49권2호
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    • pp.57-66
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    • 2019
  • 최근 스마트 시티에 의한 공간정보 제작의 일환으로 역설계를 위한 구조물의 3차원 재현이 주목받고 있다. 특히, 구조물 3차원 재현에 지상 LiDAR가 주로 사용되며 UAS에 의한 3차원 재현 연구가 활발히 진행되고 있다. 다만, 두 기술 모두 촬영각에 의한 사각지대가 발생한다. 본 연구는 수직구조물을 대상으로 UAS를 활용한 SfM기반 영상해석 기술을 통해 구현된 3D 모델과 지상 LiDAR 기반의 레이저 스캐닝에 의한 3D 모델간의 재현성 및 효용성을 검토하고 사각지대 보완을 위해 2가지 3D 모델을 조합 검토한다. 이를 위해 인공암벽을 대상으로 UAS 기반 영상을 취득하고 GNSS 장비와 토탈 스테이션을 통해 수직면 기준점(VCP) 및 점검점을 설정, SfM 기반 영상해석 기술을 활용하여 구조물의 3D 모델을 재현한다. 또한, 지상 LiDAR 스캐닝을 통해 구조물의 3D 측점 군을 취득하고 점검점을 기준으로 재현의 정확도와 3D 모델의 완성도를 UAS 기반 영상해석결과와 비교·검토하였다. 특히, UAS 및 지상 LiDAR로부터 구축한 측점 군의 조합을 통해 정확도와 실감 재현도를 확인하였다. 연구결과, 정확도 및 3D 모델 완성도에서 UAS 기반 영상해석이 우수하였고, 두 방법의 측점 군 조합으로 정확도가 향상됨을 확인하였다. UAS 및 지상 LiDAR 레이저 스캐닝 조합방법으로 수직구조물 대상 정밀 3차원 모델의 사각지대 보완·재현이 가능하므로 공간정보 구축, 안전진단 및 유지보수 관리에 효율적인 사용이 기대된다.