• Title/Summary/Keyword: Model conformity

Search Result 142, Processing Time 0.024 seconds

A simple panel zone model for linear analysis of steel moment frames

  • Saffari, Hamed;Morshedi, Esmaeil
    • Steel and Composite Structures
    • /
    • v.35 no.4
    • /
    • pp.579-598
    • /
    • 2020
  • Consideration of the panel zone (PZ) deformations in the analysis of steel moment frames (SMFs) has a substantial effect on structural response. One way to include the PZ effect on the structural response is Krawinkler's PZ model, which is one of the best and conventional models. However, modeling of Krawinkler's PZ model has its complexity, and finding an alternative procedure for PZ modeling is of interest. In this study, an efficient model is proposed to simplify Krawinkler's PZ model into an Adjusted Rigid-End Zone (AREZ). In this way, the rigid-end-zone dimensions of the beam and column elements are defined through an appropriate rigid-end-zone factor. The dimensions of this region depend on the PZ stiffness, beam(s) and columns' specifications, and connection joint configuration. Thus, to obtain a relationship for the AREZ model, which yields the dimensions of the rigid-end zone, the story drift of an SMF with Krawinkler's PZ model is equalized with the story drift of the same structure with the AREZ model. Then, the degree of accuracy of the resulting relationship is examined in several connections of generic SMFs. Also, in order to demonstrate the applicability of the proposed model in SMFs, several SMFs ranging from 3- to 30-story representing low- to high-rise buildings are examined through linear static and dynamic time history analysis. Furthermore, non-linear dynamic analyses of three SMFs conducted to validate the degree of accuracy of the proposed model in the non-linear analysis of SMFs. Analytical results show that there is considerable conformity between inter-story drift ratio (IDR) results of the SMFs with Krawinkler's PZ model and those of the centerline SMFs with AREZ.

Evaluation of Self-Healing Performance Using Hydration Model of Portland Cement and Clinker (포틀랜드시멘트와 클링커의 수화모델을 이용한 자기치유 성능평가)

  • Choi, Sang-Hyeon;Park, Byoung-Sun;Cha, Soo-Won
    • Journal of the Korean Recycled Construction Resources Institute
    • /
    • v.8 no.1
    • /
    • pp.81-87
    • /
    • 2020
  • Crack control is essential to increase the durability of concrete significantly. Healing of crack can be controlled by rehydration of unreacted clinkers at the crack surface. In this paper, by comparing the results of isothermal calorimetry test and regression analysis, the Parrot & Killoh's cement hydration model was verified and clink er hydration model was proposed. The composition and quantification of hydration products were simulated by combining kinematic hydration model and thermodynamic model. Hydration simulation was conducted using the verified and proposed hydration model, and the simulation was performed by the substitution rate of clink er. The type and quantity of the final hydration product and healing product were predicted and, in addition, the optimal cementitious material of self-healing concrete was selected using the proposed hydration model.

A Study on the Machine Learning Model for Product Faulty Prediction in Internet of Things Environment (사물인터넷 환경에서 제품 불량 예측을 위한 기계 학습 모델에 관한 연구)

  • Ku, Jin-Hee
    • Journal of Convergence for Information Technology
    • /
    • v.7 no.1
    • /
    • pp.55-60
    • /
    • 2017
  • In order to provide intelligent services without human intervention in the Internet of Things environment, it is necessary to analyze the big data generated by the IoT device and learn the normal pattern, and to predict the abnormal symptoms such as faulty or malfunction based on the learned normal pattern. The purpose of this study is to implement a machine learning model that can predict product failure by analyzing big data generated in various devices of product process. The machine learning model uses the big data analysis tool R because it needs to analyze based on existing data with a large volume. The data collected in the product process include the information about product faulty, so supervised learning model is used. As a result of the study, I classify the variables and variable conditions affecting the product failure, and proposed a prediction model for the product failure based on the decision tree. In addition, the predictive power of the model was significantly higher in the conformity and performance evaluation analysis of the model using the ROC curve.

Analysis to distance and train speed of portable alarm system using GPS and RF mode (휴대용 열차접근경보장치에 적용되는 GPS모드와 RF모드의 거리 및 속도 분석)

  • Kwon Ki Jin;Ohn Jung-Ghun;Shim Jae-bock;Choi Yung ha
    • Proceedings of the KSR Conference
    • /
    • 2004.06a
    • /
    • pp.1471-1473
    • /
    • 2004
  • A portable train approaching warning device can be used in order to reduce accidents of the workers on the rail, who are working without recognizing the approaching train, and to secure the safety of the workers. It can be installed in the train so that workers can recognize the approaching train. However, it is not easy to identify the location of the train precisely. In this study GPS and RF devices, which are used to calculate the location of the train were reviewed, to see how much error tolerance they have in the field, to analyze the distance for normal transmission between the receiver and transmitter, to verify the conformity of the portable train approaching warning device developed as a prototype model to the current rail system, and to provide the related fields with the analysis results to improve the existing or application technology. Additionally, test methods to locate the train were introduced and each test result was compared and analyzed.

  • PDF

Trajectory Tracking Control of a Fish-Mimetic Robot Using CPG (CPG 를 이용한 물고기 모사 로봇의 궤적 추종 제어)

  • Kim, Dong-Hee;Lee, Seung-Hee;Kwon, Jong-Hyun;Han, Cheol-Heui;Park, Jong-Hyeon
    • Proceedings of the KSME Conference
    • /
    • 2008.11a
    • /
    • pp.870-875
    • /
    • 2008
  • The main objective of this paper is to control a trajectory tracking of the fish-mimetic robot by CPG (Central Pattern Generator), which is biological approach. CPG is biological neural networks that generate rhythmic movements for locomotion of animals, such as walking, running, swimming and flying. Animals show marvelous ability of autonomous dynamic adaptation for an unsteady fluid dynamic environment or various environments. So, we propose the 3-DOF CPG controller to track the trajectory of the fish robot in plane motion. The conformity of the proposed control algorithm is validated by simulation for a fish robot model, which is made by a commercial dynamic package.

  • PDF

Bear Theme Park Design ('곰' 주제공원 조경설계)

  • Woo Jung-Sang
    • Journal of the Korean Institute of Landscape Architecture
    • /
    • v.33 no.3 s.110
    • /
    • pp.105-113
    • /
    • 2005
  • Human desire is required to be changed variously as time flows. A theme park which is planned to male a good memory including a variety of story, drama, and experience with one of themes is increasingly and currently broaden to be a good economic value of cultural tourism for the local autonomy institution or individual business. The plan for a theme park should be developed to give the tourist satisfaction at studious and ecology educational needs in conformity with our country's distinctive four seasons, its surrounding environment, facilities, and its contents. This design which is called 'Bear theme park' has only one theme focused on a combined effort with a landscape designer and a sculptor. It is estimated that the park must be our country's unique model of a theme park The purpose of this study is to request the designer's direct construction to participate in it by themselves, to solve any problems on the design side, to experience the real construction procedure, and to take the designer's techniques, and skills as soon as the design completed.

Lateral stability analysis of multistory buildings using the differential transform method

  • Aydin, Suleyman;Bozdogan, Kanat Burak
    • Structural Engineering and Mechanics
    • /
    • v.57 no.5
    • /
    • pp.861-876
    • /
    • 2016
  • The determination of the critical buckling load of multistory structures is important since this load is used in second order analysis. It is more realistic to determine the critical buckling load of multistory structures using the whole system instead of independent elements. In this study, a method is proposed for designating the system critical buckling load of torsion-free structures of which the load-bearing system consists of frames and shear walls. In the method presented, the multistory structure is modeled in accordance with the continuous system calculation model and the differential equation governing the stability case is solved using the differential transform method (DTM). At the end of the study, an example problem is solved to show the conformity of the presented method with the finite elements method (FEM).

A Study on the Development and Application of Performance Evaluation Model for Defense Standard Improvement Projects (국방규격 개선사업의 성과평가모형 개발 및 적용방안 연구)

  • Lee, Min Cheol;Kim, Young Hyun;Ahn, Young Jun;Kim, Jun Su
    • Journal of Korean Society for Quality Management
    • /
    • v.51 no.2
    • /
    • pp.185-202
    • /
    • 2023
  • Purpose: The purpose of this study is to identify key performance evaluation items and factors that are effective and practical for project management of defense standard standard improvement projects, and to develop a quantitative performance evaluation model. Methods: For the development of a performance evaluation model for defense standard improvement projects, we analyzed past major project performance and derived evaluation items and factors. To increase the objectivity and efficiency of project evaluation, we developed an evaluation index that enables relative evaluation of evaluation targets, and calculated the main importance of evaluation items using the Analytic Hierarchy Process (AHP) method based on the main opinions of expert groups. Results: The study resulted in the identification of main performance items for defense standard improvement projects, which were classified into defense standard conformity review performance and defense standard improvement performance items. We also simplified the evaluation model by integrating various evaluation items into similar evaluation factors. Additionally, we developed a quantitative evaluation index that enables relative evaluation of the targets and verified the objectivity and validity of the suggested performance evaluation model by reevaluating it using performance data from past commissioned professional institutions Conclusion: Developing a quantitative evaluation model for defense standard improvement projects is expected to provide a means of measuring the effectiveness of the project, and to be used as a tool to determine the appropriateness and effectiveness of medium and long-term project plans.

Numerical Modeling of Turbulent Premixed Lifted Flames in Low-Swirl Burner (저 스월 버너에서의 난류 예혼합 부상화염장의 해석)

  • Kang, Sung-Mo;Lee, Jeong-Won;Kim, Yong-Mo;Chung, Jae-Hwa;Ahn, Dal-Hong
    • Journal of the Korean Society of Combustion
    • /
    • v.12 no.3
    • /
    • pp.8-15
    • /
    • 2007
  • This study has numerically modelled the combustion processes of the turbulent swirling premixed lifted flames in the low-swirl burner (LSB). In these turbulent swirling premixed flames, the four tangentially-injected air jets induce the turbulent swirling flow which plays the crucial role to stabilize the turbulent lifted flame. In the present approach, the turbulence-chemistry interaction is represented by the level-set based flamelet model.. Two-dimensional and three-dimensional computations are made for the various swirl numbers and nozzle length. In terms of the centerline velocity profiles and flame liftoff heights, numerical results are compared with experimental data The three-dimensional approach yields the much better conformity with agreements with measurements without any analytic assumptions on the inlet swirl profiles, compared to the two-dimensional approach. Numerical clearly results indicate that the present level-set based flamelet approach has realistically simulated the. structure and stabilization mechanism of the turbulent swirling stoichiometric and lean-premixed lifted flames in the low-swirl burner.

  • PDF

A model to characterize the effect of particle size of fly ash on the mechanical properties of concrete by the grey multiple linear regression

  • Cui, Yunpeng;Liu, Jun;Wang, Licheng;Liu, Runqing;Pang, Bo
    • Computers and Concrete
    • /
    • v.26 no.2
    • /
    • pp.175-183
    • /
    • 2020
  • Fly ash has become an important component of concrete as supplementary cementitious material with the development of concrete technology. To make use of fly ash efficiently, four types of fly ash with particle size distributions that are in conformity with four functions, namely, S.Tsivilis, Andersen, Normal and F distribution, respectively, were prepared. The four particle size distributions as functions of the strength and pore structure of concrete were thereafter constructed and investigated. The results showed that the compressive and flexural strength of concrete with the fly ash that conforming to S.Tsivilis, Normal, F distribution increased by 5-10 MPa and 1-2 MPa, respectively, compared to the reference sample at 28 d. The pore structure of the concrete was improved, in which the total porosity of concrete decreased by 2-5% at 28 d. With regarding to the fly ash with Andersen distribution, it was however not conducive to the strength development of concrete. Regression model based on the grey multiple linear regression theory was proved to be efficient to predict the strength of concrete, according to the characteristic parameters of particle size and pore structure of the fly ash.