• 한국지능시스템학회논문지
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• 제6권2호
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• pp.81-89
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• 1996

퍼지모델링의 설계 방법을 교통경로선택의 모델동정을 위하여 제안한다. 제안된 퍼지모델은 최적화이론, 퍼지구현규칙을 사용하여 ""IF..., THEN...""의 효율적인 형태로 시스템구조와 파라미터 동정을 시행한다. 이 논문에서 간략추론, 선형추론, 병형된 선형추론의 3가지종류의 퍼지모델링 방법을 제시한다. 이 퍼지추론 방법은 인간의 교통행동의 정확한 추정과 정밀한 묘사를 위해 교통경로선택 모델을 개발하기 위해 이용된다. 퍼지규칙의 전반부 구조와 파라미터를 동정하기 위해 개선된 컴플렉스법을 사용하고, 최적후반부 파라미터를 동정하기 위해 최소자승법이 사용된다. 교통경로선택 데이타가 제안된 퍼지모델 성능을 평가하기 위해 사옹된다. 제안된 방법이 기존의 다른 연구들 - 즉 BL, PS, FL, NN, FNNs 모델 등 - 보다 더 높은 정확도를 가진 퍼지모델을 생성함을 보인다. 생성함을 보인다.

• 한국전산구조공학회논문집
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• 제30권1호
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• pp.39-46
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• 2017

본 논문에서는 반응표면법과 다목적최적화 기법을 이용한 유한요소모델개선기법의 절차를 제안하고 이를 저층의 철근콘크리트건물의 모델개선에 적용하였다. 대상건물은 전단벽 신설 및 댐퍼부착을 위한 부재의 강재보강을 통해 내진보강이 이루어진 건물로서 보강전후에 소형 가진기를 이용한 진동실험을 실시하여 동특성을 구하였다. 대상건물의 개선에 사용된 변수는 기존콘크리트, 신규타설된 콘크리트, 조적의 탄성계수, 신축줄눈부의 스프링계수, 강재보강된 부재의 유효강성비이다. 보강전후 건물의 초기모델을 구축한 후 중심합성법에 따라 개선변수의 값을 변화시키면서 얻은 해석결과를 통해 고유진동수의 오차와 모드형상의 오차를 나타내는 2개의 반응함수를 구하고, 이를 다목적최적화의 목적함수로 사용하였다.

• Composites Research
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• 제12권1호
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• pp.1-10
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• 1999

복합재 적층판의 기계적 특성값 $E_1,\;E_2,\;V_{12},\;G_{12}$을 설계변수로 하는 변수식별을 수행하여 동적 거동을 보다 정확하게 예측할 수 있는 동적 모델을 확보하였다. 간단한 진동실험을 통해 고유진동수를 측정한 후 대상구조물에 대한 고유치의 실험값과 수치해석값 사이의 오차들의 합으로 목적함수를 구성하였다. 목적함수를 최소화하기 위해 최적화 방법으로 conjugate gradient method를 사용하였다. 최적화 과정 중 설계변수를 증감시키기 위해 민감도 해석이 수행된다. 민감도 해석을 통해 변수식별 결과도 설명할 수 있었다. 변수식별 결과의 타당성을 검토하기 위해 식별전후의 모드형상을 비교하였다. 식별된 기계적 특성값을 사용하여 보다 정확하게 복합재 적층판의 고유진동수를 예측할 수 있었다. 결과의 적용을 위해 식별된 기계적 특성값을 사용하여 다른 적층순서를 가진 복합재 적층판의 고유진동수를 예측해 보고 실험결과와 비교해 보았다.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.103-113
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• 2020

The construction industry is undergoing a digital transformation in which Building Information Modelling (BIM) is a key technology. The potential of BIM in several areas such as design optimization, time management, cost management, and asset management/facility management (AM/FM) is widely acknowledged by the AECO (Architecture, Engineering, Construction, and Operation) industry around the world. However, BIM implementation in construction projects is faced with problems such as project delay and cost overruns. The lack of identification of risks in BIM projects and standard guidelines on mitigation techniques furthers poor performance, dissatisfaction, and disputes between employers and project participants, which results in low BIM adoption rates. Therefore, the objective of this paper is to identify the potential risks in BIM implementation under the primary categories - (1) technical, (2) contractual, (3) management-related, and (4) personnel-related risks in BIM projects and present solutions to reduce, manage, and mitigate risks. To meet the objective of this paper, a survey was designed and conducted in the Hong Kong construction industry in which over 140 respondents from different disciplines, with experience in BIM projects, have participated. Based on the analysis of the survey data, the most severe and frequently occurring BIM risks and their potential mitigation strategies were identified and discussed in this paper.

• Computers and Concrete
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• 제11권6호
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• pp.541-569
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• 2013

There is a wide variety of existing Genetic Algorithms (GA) operators and parameters in the literature. However, there is no unique technique that shows the best performance for different classes of optimization problems. Hence, the evaluation of these operators and parameters, which influence the effectiveness of the search process, must be carried out on a problem basis. This paper presents a comparison for the influence of GA operators and parameters on the performance of the damage identification problem using the finite element model updating method (FEMU). The damage is defined as reduction in bending rigidity of the finite elements of a reinforced concrete beam. A certain damage scenario is adopted and identified using different GA operators by minimizing the differences between experimental and analytical modal parameters. In this study, different selection, crossover and mutation operators are compared with each other based on the reliability, accuracy and efficiency criteria. The exploration and exploitation capabilities of different operators are evaluated. Also a comparison is carried out for the parallel and sequential GAs with different population sizes and the effect of the multiple use of some crossover operators is investigated. The results show that the roulettewheel selection technique together with real valued encoding gives the best results. It is also apparent that the Non-uniform Mutation as well as Parent Centric Normal Crossover can be confidently used in the damage identification problem. Nevertheless the parallel GAs increases both computation speed and the efficiency of the method.

• KIEAE Journal
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• 제7권4호
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• pp.141-146
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• 2007

It is necessary to guarantee the safety, serviceability and durability of reinforced concrete structures over their service life. However, concrete structures represent a decrease in their durability due to the effects of external environments according to the passage of time, and such degradation in durability can cause structural degradation in materials. In concrete structures, some degradations in durability increase the corrosion of embedded rebars and also decrease the structural performance of materials. Thus, the structural condition assessment of RC materials damaged by corrosion of rebars becomes an important factor that judges needs to apply restoration. In order to detect the damage of reinforced concrete structures, a visual inspection, a nondestructive evaluation method(NDE) and a specific loading test have been employed. However, obscurities for visual inspection and inaccessible members raise difficulty in evaluating structure condition. For these reasons, detection of location and quantification of the damage in structures via structural response have been one of the very important topics in system identification research. The main objective of this project is to develope a methodologies for the damage identification via static responses of the members damaged by durability. Six reinforced concrete beams with variables of corrosion position and corrosion width were fabricated and the damage detections of corroded RC beams were performed by the optimization and the conjugate beam methods using static deflection. In results it is proved that the conjugate beam method could predict the damage of RC members practically.

• 한국구조물진단유지관리공학회 논문집
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• 제6권2호
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• pp.145-155
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• 2002

It is essential for health monitoring of a cable-stayed bridge to provide more accurate and enough information from the sensors. In experimental modal testing, the chosen measurement locations and the number of measurements have a major influence on the quality of the results. The choice is often difficult for complex structures like a cable-stayed bridge. It is extremely important a cable-stayed bridge to minimize the number of sensing operations required to monitor the structural system. In order to obtain the desired accuracy for the structural test, several issues must take into consideration. Two important issues are the number and location of response sensors. There are usually several alternative locations where different sensors can be located. On the other hand, the number of sensors might be limited due to economic constraints. Therefore, techniques such as methodologies, algorithms etc., which address the issue of limited instrumentation and its effects on resolution and accuracy in health monitoring systems are paramount to a damage diagnosis approach. This paper discusses an optimum sensor placement criterion suitable to the identification of structural damage for continuous health monitoring. A Kinetic Energy optimization technique and an Effective Independence Method are analyzed and numerical and theoretical issues are addressed for a cable-stayed bridge. Its application to a cable-stayed bridge is discussed to optimize the sensor placement for identification and control purposes.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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• pp.18-18
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• 1996

This paper reviews some of the most prominent and promising areas of chemical process control both in relations to batch and continuous processes. These areas include the modeling, optimization, control and monitoring of chemical processes and entire plants. Most of these areas explicitly utilize a model of the process. For this purpose the types of models used are examined in some detail. These types of models are categorized in knowledge-driven and datadriven classes. In the areas of modeling and optimization, attention is paid to batch reactors using the Tendency Modeling approach. These Tendency models consist of data- and knowledge-driven components and are often called Gray or Hybrid models. In the case of continuous processes, emphasis is placed in the closed-loop identification of a state space model and their use in Model Predictive Control nonlinear processes, such as the Fluidized Catalytic Cracking process. The effective monitoring of multivariate process is examined through the use of statistical charts obtained by the use of Principal Component Analysis (PMC). Static and dynamic charts account for the cross and auto-correlation of the substantial number of variables measured on-line. Centralized and de-centralized chart also aim in isolating the source of process disturbances so that they can be eliminated. Even though significant progress has been made during the last decade, the challenges for the next ten years are substantial. Present progress is strongly influenced by the economical benefits industry is deriving from the use of these advanced techniques. Future progress will be further catalyzed from the harmonious collaboration of University and Industrial researchers.

• Smart Structures and Systems
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• 제15권5호
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• pp.1233-1252
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• 2015

This study investigates the problem of crack detection in post-buckled beam-type structures. The beam under the axial compressive force has a crack, assumed to be open and through the width. The crack, which is modeled by a massless rotational spring, divides the beam into two segments. The crack detection is considered as an optimization problem, and the weighted sum of the squared errors between the measured and computed natural frequencies is minimized by the bees algorithm. To find the natural frequencies, the governing nonlinear equations of motion for the post-buckled state are first derived. The solution of the nonlinear differential equations of the two segments consists of static and dynamic parts. The differential quadrature method along with an arc length strategy is used to solve the static part, while the same method is utilized for the solution of the linearized dynamic part and the extraction of the natural frequencies of the cracked beam. The investigation includes several numerical as well as experimental case studies on the post-buckled simply supported and clamped-clamped beams having open cracks. The results show that several parameters such as the amount of applied compressive force and boundary conditions influences the outcome of the crack detection scheme. The identification results also show that the crack position and depth can be predicted well by the presented method.

• Steel and Composite Structures
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• 제25권4호
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• pp.485-496
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• 2017

In this paper, damage detection has been introduced as an optimization problem and a two-step method has been proposed that can detect the location and severity of damage in truss structures precisely and reduce the volume of computations considerably. In the first step, using the residual force vector concept, the suspected damaged members are detected which will result in a reduction in the number of variables and hence a decrease in the search space dimensions. In the second step, the precise location and severity of damage in the members are identified using the genetic algorithm and the results of the first step. Considering the reduced search space, the algorithm can find the optimal points (i.e. the solution for the damage detection problem) with less computation cost. In this step, the Efficient Correlation Based Index (ECBI), that considers the structure's first few frequencies in both damaged and healthy states, is used as the objective function and some examples have been provided to check the efficiency of the proposed method; results have shown that the method is innovatively capable of detecting damage in truss structures.