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이승혜,이재홍,Lee, Seunghye,Lee, Jaehong 한국공간구조학회 2024 한국공간구조학회지 Vol.24 No.2
In this paper, machine learning models were applied to predict the seismic response of steel frame structures. Both geometric and material nonlinearities were considered in the structural analysis, and nonlinear inelastic dynamic analysis was performed. The ground acceleration response of the El Centro earthquake was applied to obtain the displacement of the top floor, which was used as the dataset for the machine learning methods. Learning was performed using two methods: Decision Tree and Random Forest, and their efficiency was demonstrated through application to 2-story and 6-story 3-D steel frame structure examples.
대공간 구조물의 UHPC 적용을 위한 기계학습 기반 강도예측기법
이승혜,이재홍,Lee, Seunghye,Lee, Jaehong 한국공간구조학회 2020 한국공간구조학회지 Vol.20 No.4
There has been increasing interest in UHPC (Ultra-High Performance Concrete) materials in recent years. Owing to the superior mechanical properties and durability, the UHPC has been widely used for the design of various types of structures. In this paper, machine learning based compressive strength prediction methods of the UHPC are proposed. Various regression-based machine learning models were built to train dataset. For train and validation, 110 data samples collected from the literatures were used. Because the proportion between the compressive strength and its composition is a highly nonlinear, more advanced regression models are demanded to obtain better results. The complex relationship between mixture proportion and concrete compressive strength can be predicted by using the selected regression method.
트러스 구조물 사이즈 최적화를 위한 무응력 부재의 선택
이승혜,이종현,이기학,이재홍,Lee, Seunghye,Lee, Jonghyun,Lee, Kihak,Lee, Jaehong 한국공간구조학회 2021 한국공간구조학회지 Vol.21 No.1
This paper describes a novel zero-stress member selecting method for sizing optimization of truss structures. When a sizing optimization method with static constraints is implemented, the member stresses are affected sensitively with changing the variables. However, because some truss members are unaffected by specific loading cases, zero-stress states are experienced by the elements. The zero-stress members could affect the computational cost and time of sizing optimization processes. Feature selection approaches can be then used to eliminate the zero-stress member from the whole variables prior to the process of optimization. Several numerical truss examples are tested using the proposed methods.
위상 최적화를 위한 생산적 적대 신경망 기반 데이터 증강 기법
이승혜,이유진,이기학,이재홍,Lee, Seunghye,Lee, Yujin,Lee, Kihak,Lee, Jaehong 한국공간구조학회 2021 한국공간구조학회지 Vol.21 No.4
In this paper, a GAN-based data augmentation method is proposed for topology optimization. In machine learning techniques, a total amount of dataset determines the accuracy and robustness of the trained neural network architectures, especially, supervised learning networks. Because the insufficient data tends to lead to overfitting or underfitting of the architectures, a data augmentation method is need to increase the amount of data for reducing overfitting when training a machine learning model. In this study, the Ganerative Adversarial Network (GAN) is used to augment the topology optimization dataset. The produced dataset has been compared with the original dataset.
이승혜,이재홍,Lee, Seunghye,Lee, Jaehong 한국전산구조공학회 2014 한국전산구조공학회논문집 Vol.27 No.4
텐세그리티 구조물은 인장력을 받는 연속된 케이블 안에 압축력을 받는 스트럿이 결합된 형태로 구성된다. 텐세그리티 구조물은 자기 응력 상태를 갖는 프리스트레스 핀 접합 구조물에 속한다. 텐세그리티 구조물 설계의 핵심은 평형 배열상태를 구하는 일명 형상탐색 과정이다. 본 논문에서는 세 가지의 효과적인 텐세그리티 구조물의 형상탐색 기법을 제안하였다. 형상탐색과정을 수행하면 평형상태의 내력 밀도와 그에 대응하는 위상을 얻을 수 있다. 이 때 평형상태를 형성하는 적절한 내력밀도 값을 얻기 위해 유전자 알고리즘을 결합한 내력밀도법이 사용되었다. 수치해석 예제를 통해 제안 알고리즘의 효율성을 입증하였다. A tensegrity structure consists of a set of continuous cables in tension and a set of discontinuous struts in compression. The tensegrity structure can be classified into self-stressed and pre-stressed pin-jointed structure. A key step in the design of tensegrity structures is the determination of their equilibrium configuration, known as form-finding. In this paper, three effective methods are presented for form-finding of tensegrity structures. After performing form-finding process, a set of force density and corresponding topology results can be obtained. Then the force density method combined with a genetic algorithm is adopted to uniquely define a single integral feasible set of force densities. Numerical examples are presented that demonstrate the excellent performance of the algorithms.
하이브리드 메타휴리스틱 기법을 사용한 트러스 위상 최적화
이승혜,이재홍,Lee, Seunghye,Lee, Jaehong 한국공간구조학회 2021 한국공간구조학회지 Vol.21 No.2
This paper describes an adaptive hybrid evolutionary firefly algorithm for a topology optimization of truss structures. The truss topology optimization problems begins with a ground structure which is composed of all possible nodes and members. The optimization process aims to find the optimum layout of the truss members. The hybrid metaheuristics are then used to minimize the objective functions subjected to static or dynamic constraints. Several numerical examples are examined for the validity of the present method. The performance results are compared with those of other metaheuristic algorithms.
10~11세기 중국(中國)과 한국(韓國)의 불탑(佛塔) 내 봉안 『보협인경(寶篋印經)』 재고
이승혜 ( Lee Seunghye ) 이화여자대학교 이화사학연구소 2021 梨花史學硏究 Vol.- No.62
Buddhism was a vehicle, which connected many states that thrived on the Chinese continent and the Korean peninsula in the tenth and eleventh centuries. A short text, entitled Sūtra of the Dhāraṇī of the Precious Casket Seal of the Concealed Complete-body Relics of the Essence of All Tathāgatas, provides us a window to look into the material and devotional culture of Buddhism developed into diverse forms across East Asian continent. It was transmitted from South Asia to China and translated into Chinese by the Indian monk Amoghavajra in the early eighth century. It was circulated and put into practice in Chang’an and in the region of Mount Wutai where Amoghvajra was active but it seems not to have been known in the Jiangnan region until the beginning of the tenth century. It gained wide popularity in the Jiangnan region only after the last king of Wuyue Kingdom reproduced it three times on a massive scale in the late tenth century. The printing project and dissemination of the xylograph copies spurred a widespread circulation of the text and renewed interest in the cult of textual relics across the Chinese continent and Korean peninsula beyond political borders in the tenth and eleventh centuries. This study re-examines historical implications of the Wuyue “re-discovery” of this text, while closely looking at material forms of this text from Wuyue, Northern Song, Koryŏ, and Khitan that constituted a multi-centered yet closely connected Buddhist cultural sphere in this time. For example, although the patron of the earliest Koryŏ edition of the sūtra dated it by using the Khitan reign name, the overall composition of the xylograph including the frontispiece points to the first Wuyue edition of the text as its prototype. This alone is enough to show the multivalence of cultural exchanges apart from the tributary system or official envoys.