• Title/Summary/Keyword: laboratory model experiments

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Hydraulic Experiments of Stem Waves along a Vertical Wall due to Unidirectional Random Waves (직립벽을 따른 일방향 불규칙파의 연파실험)

  • Lee, Jong-In;Choi, Jun-Woo;Yoon, Sung-Bum
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.20 no.1
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    • pp.49-61
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    • 2008
  • This study investigates the characteristics of stem waves along a vertical wall generated by obliquely incident random waves through laboratory experiments conducted in a wave basin and numerical simulations using REF/DIF S model developed by Kirby and $\ddot{O}zkan$(1994). The investigation is focused on the effect of random waves on the propagation characteristics of stem waves and the difference or similarity between monochromatic and random waves. The results of REF/DIF S model are compared with laboratory measurements and good agreements are obtained. The relative significant wave height along a wall is almost same with monochromatic condition, but the wave pattern along normal to the wall shows a significant difference.

Model Experiments on Prediction of Effluent Concentration of Suspended Solid in Containment of Dumping Dredged Soil (준설투기장내 부유물질 유출농도 예측에 관한 모형실험)

  • Lee, Dongwon;Jun, Sanghyun;Yoo, Kunsun;Yoo, Namjae
    • Journal of the Korean GEO-environmental Society
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    • v.12 no.6
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    • pp.35-42
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    • 2011
  • In this paper, model experiments in the laboratory were carried out to predict the effluent concentrations of suspended solid in containment of dumping dredged soils and test results were compared with results estimated by the currently used design method. Model tests of simulating dumping the dredged soils with a pump dredger in field were performed with changing the influent concentration and the length of containment and effluent concentration of suspended solid with time were measured during tests. As results of comparing test results about effluent concentration with those estimated from the design method by US Army COE(1987), they were confirmed to be in relatively good agreements.

The high-rate brittle microplane concrete model: Part I: bounding curves and quasi-static fit to material property data

  • Adley, Mark D.;Frank, Andreas O.;Danielson, Kent T.
    • Computers and Concrete
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    • v.9 no.4
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    • pp.293-310
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    • 2012
  • This paper discusses a new constitutive model called the high-rate brittle microplane (HRBM) model and also presents the details of a new software package called the Virtual Materials Laboratory (VML). The VML software package was developed to address the challenges of fitting complex material models such as the HRBM model to material property test data and to study the behavior of those models under a wide variety of stress- and strain-paths. VML employs Continuous Evolutionary Algorithms (CEA) in conjunction with gradient search methods to create automatic fitting algorithms to determine constitutive model parameters. The VML code is used to fit the new HRBM model to a well-characterized conventional strength concrete called WES5000. Finally, the ability of the new HRBM model to provide high-fidelity simulations of material property experiments is demonstrated by comparing HRBM simulations to laboratory material property data.

Design and implementation of a high precision

  • Ahn, Hyun-Sik;Oh, Sang-Rok;Choy, Ick;Kim, Kwang-Bea;Ko, Myoung-Sam
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.1415-1419
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    • 1990
  • A novel type of a play-back servo system with high precision is designed using an iterative learning control method by employing the model algorithmic control concept together with an inverse model. A sufficient condition is also provided for the convergency. It is shown by simulation that the proposed control algorithm yields a good performance even in the presence of a periodic load disturbance and proved by experiments using microprocessor-based play-back servo system.

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The effect of Reynolds numbers on the steady state aerodynamic force coefficients of the Stonecutters Bridge deck section

  • Hui, M.C.H.;Zhou, Z.Y.;Chen, A.R.;Xiang, H.F.
    • Wind and Structures
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    • v.11 no.3
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    • pp.179-192
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    • 2008
  • In a wind tunnel experiment employing a reduced scale model, Reynolds number (Re) can hardly be respected. Its effects on the aerodynamics of closed-box bridge decks have been the subject of research in recent years. Stonecutters Bridge in Hong Kong is a cable-stayed bridge having an unprecedented central span of 1018m. The issue of Re sensitivity was raised early in the design phase of the deck of Stonecutters Bridge. The objective of this study is to summarise the results of various wind tunnel experiments in order to demonstrate the effect of Re on the steady state aerodynamic force coefficients. The results may provide an insight on the choice of scale for section model experiments in bridge design projects. Computational Fluid Dynamics (CFD) analysis of forces on bridge deck section was also carried out to see how CFD results are compared with experimental results.

Optimization of safety factor by adaptive simulated annealing of composite laminate at low-velocity impact

  • Sidamar, Lamsadfa;Said, Zirmi;Said, Mamouri
    • Coupled systems mechanics
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    • v.11 no.4
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    • pp.285-295
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    • 2022
  • Laminated composite plates are utilized extensively in different fields of construction and industry thanks to their advantages such as high stiffness-to-weight ratio. Additionally, they are characterized by their directional properties that permit the designer to optimize their stiffness for specific applications. This paper presents a numerical analysis and optimization study of plates made of composite subjected to low velocity impact. The main aim is to identify the optimum fiber orientations of the composite plates that resist low velocity impact load. First, a three-dimensional finite element model is built using LS DYNA computer software package to perform the impact analyses. The composite plate has been modeled using solid elements. The failure criteria of Tsai-Wu's criterion have been used to control the strength of the composite material. A good agreement has been found between the predicted numerical results and experimental results in the literature which validate the finite element model. Then, an Adaptive Simulated Annealing (ASA) has been used to optimize the response of impacted composite laminate where its objective is to maximize the safety factor by varying the ply angles. The results show that the ASA is robust in the sense that it is capable of predicting the best optimal designs.

A Stochastic Model of Muscle Fatigue as a Monitor of Individual Muscle Capabilities

  • Lee, Myun-W.
    • Journal of Korean Institute of Industrial Engineers
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    • v.6 no.1
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    • pp.27-38
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    • 1980
  • This paper presents the validation of a stochastic model of muscle fatigue during static muscle contractions. Forty four laboratory experiments, covering eleven test conditions for two trained subjects, were run in order to estimate fatigue and recovery rates, based on EMG observations. The validation of the model was made by comparing the model predictions to the experimental fatigue time. The validation study supports that the stochastic model of muscle fatigue accurately represents the underlying fatigue process. The study also provides support that the fatigue model can be used as a monitor of individual muscle capabilities.

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Estimating model parameters of rockfill materials based on genetic algorithm and strain measurements

  • Li, Shouju;Yu, Shen;Shangguan, Zichang;Wang, Zhiyun
    • Geomechanics and Engineering
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    • v.10 no.1
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    • pp.37-48
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    • 2016
  • The hyperbolic stress-strain model has been shown to be valid for modeling nonlinear stress-strain behavior for rockfill materials. The Duncan-Chang nonlinear constitutive model was adopted to characterize the behavior of the modeled rockfill materials in this study. Accurately estimating the model parameters of rockfill materials is a key problem for simulating dam deformations during both the dam construction period and the dam operation period. In order to estimate model parameters, triaxial compression experiments of rockfill materials were performed. Based on a genetic algorithm, the constitutive model parameters of the rockfill material were determined from the triaxial compression experimental data. The investigation results show that the predicted strains provide satisfactory precision when compared with the observed strains and the strains forecasted by a gradient-based optimization algorithm. The effectiveness of the proposed inversion procedure of model parameters was verified by experimental investigation in a laboratory.

Centrifuge Model Experiments on Behaviors of Single Pile (단말뚝 거동에 관한 원심모형실험)

  • Yoo, Nam-Jae;Lee, Myeung-Woog;Lee, Jong-Ho
    • Journal of Industrial Technology
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    • v.17
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    • pp.111-118
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    • 1997
  • This thesis is an experimental research of investigating behavior of single pile, subjected to the vertical compression loads, using the centrifuge facility located in the geotechnical engineering laboratory in Kangwon National University. Centrifugal model experiments of model pile were carried out changing diameter of model pile, relative density of sandy ground and the gravitational level applied in the centrifuge. Thus, their effects on the load-settlement behavior and the ultimate bearing capacity of pile were investigated. Experimental results obtained from centrifuge model tests were compared with the theoretical or semi-empirical equations to analyze values of ultimate bearing capacity of model pile. When we compare the ultimate bearing capacity of experimental results with the ultimate bearing capacity of theorical results, the experimental results appear more higher in the De Beer method and Meyerhof. Expecially, Terzaghi method is very same as the experimental results normally.

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Wind Prediction with a Short-range Multi-Model Ensemble System (단시간 다중모델 앙상블 바람 예측)

  • Yoon, Ji Won;Lee, Yong Hee;Lee, Hee Choon;Ha, Jong-Chul;Lee, Hee Sang;Chang, Dong-Eon
    • Atmosphere
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    • v.17 no.4
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    • pp.327-337
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    • 2007
  • In this study, we examined the new ensemble training approach to reduce the systematic error and improve prediction skill of wind by using the Short-range Ensemble prediction system (SENSE), which is the mesoscale multi-model ensemble prediction system. The SENSE has 16 ensemble members based on the MM5, WRF ARW, and WRF NMM. We evaluated the skill of surface wind prediction compared with AWS (Automatic Weather Station) observation during the summer season (June - August, 2006). At first stage, the correction of initial state for each member was performed with respect to the observed values, and the corrected members get the training stage to find out an adaptive weight function, which is formulated by Root Mean Square Vector Error (RMSVE). It was found that the optimal training period was 1-day through the experiments of sensitivity to the training interval. We obtained the weighted ensemble average which reveals smaller errors of the spatial and temporal pattern of wind speed than those of the simple ensemble average.