• 한국조경학회지
• /
• 제24권1호
• /
• pp.97-108
• /
• 1996

The purposes of this study were to develop a forest landscape assessment technique for landscape ecological planting and urban forest management. The study was conducted by 4 steps in a case of "Inwang Mt.", Seoul. The process and results of the study are as follows : 1. The vegetation types of the Inwang Mt. were identified. 2. The 19 visual types from the vegetation types were classified. 3. The visual preference for the classified types was evaluated. Sorbus alnifolia community, Sorbus alnifolia community-Robinia pseudoacacia group, etc. were highly preferred. 4. A voting distribution graph of each visual type and an ecological -visual assessment map were developed. Finally the applications of the study were suggested.suggested.

• 국제학술발표논문집
• /
• The 10th International Conference on Construction Engineering and Project Management
• /
• pp.1321-1321
• /
• 2024

Concrete arch dams, unlike conventional concrete gravity dams, have thin arch-shaped cross sections and must be designed considering a three-dimensional shape. In particular, double-curvature arch dams, which have arch-shaped vertical and horizontal sections, require careful consideration during design due to their unique shape. Although stress analysis is complex, and various factors need to be considered during the design, these dams offer economic advantages as they require less material. Consequently, numerous double-curvature arch dams have been constructed worldwide, and ongoing research focuses on optimizing their shapes. In this study, an efficient optimization algorithm was developed for the shape optimization of concrete arch dams with double-curvature using genetic algorithms and improved population initializing technique. The developed technique utilized domain knowledge in the field of arch dams to generate an excellent initial population. To assess the relevance of domain knowledge, an investigation was conducted on the accumulated knowledge and empirical formulas from literature. Two pieces of domain knowledge can be gleaned from the iterative structural design experiences associated with arch dams. First, it concerns the thickness of the central cantilever of an arch dam. For minimum tensile stress, it is best to make the thickness as thin as possible at the dam crest and gradually become thicker as it goes down. The second aspect concerns the sliding stability of the arch dam, which depends on the central angle of the horizontal section. This angel is important for stability because the plane arch serves to transfer the hydraulic load from the reservoir to both abutments. Also, preliminary design formulas for arch dams from a manual written by the United States Bureau of Reclamation (USBR) were used. On the other hand, since domain knowledge is based on engineering experiences and data from existing dams, its usability should be verified by comparing it with the results of design optimization performed by classic genetic algorithms. To validate the performance of the optimization algorithm with the improved population initialization technique, a test site with an existing dam was selected, and algorithmic application tests were conducted. Stress analysis is performed for each design iteration, evaluating constraints and calculating fitness as the objective function. The results confirmed that the algorithm developed in this study exhibits superior performance in terms of average fitness and convergence rate compared to classic genetic algorithms.

• 국제학술발표논문집
• /
• The 10th International Conference on Construction Engineering and Project Management
• /
• pp.1322-1322
• /
• 2024

Reinforced concrete (RC) , a major contributor to resource depletion and harmful emissions, fuels research on optimizing its design. Optimizing RC structures is challenging due to the mix of discrete and continuous variables, hindering traditional differentiation-based methods. Thus, this study aims to optimize RC structures cost-effectively using deep reinforcement learning. When the Agent selects design variables, Environment checks design criteria based on KDS 14-20 code (South Korea) and calculates reward. The Agent updates its Neural Network with this reward. Target for optimization is a simply supported doubly RC beam, with design variables including cross-section dimensions, sizes and quantities of tension and compression reinforcement, and size of stirrups. We used 200,000 training sets and 336 test sets, each with live load, dead load, beam length variables. To exclude labeled data, multiple training iterations were conducted. In the initial training, the reward was the ratio of maximum possible cost at beam length to the designed structure's cost. Next iterations used the ratio of optimal values by the previous Agent to the current Agent as the reward. Training ended when the difference between optimal values from the previous and current Agent was within 1% for test data. Brute Force Algorithm was applied to the test set to calculate the actual cost-optimal design for validation. Results showed within 10% difference from actual optimal cost, indicating successful deep reinforcement learning application without labeled data. This study benefits the rapid and accurate calculation of optimized designs and construction processes in Building Information Modeling (BIM) applications.

• 국제학술발표논문집
• /
• The 10th International Conference on Construction Engineering and Project Management
• /
• pp.1295-1295
• /
• 2024

As extreme weather events such as heavy snowfall and typhoon become more frequent, climate change significantly impacts across various worldwide industries. With demands for dealing with this phenomenon, continuous achievements in safety diagnosis have been announced for large structures. Conversely, in agricultural infrastructures having lower risk to human life, there is lack of established safety diagnosis methods. However, considering expansion of high-value smart farm, the importance of plastic greenhouse cannot be overlooked. Therefore, this study aimed to develop on-site diagnosis technique for structural safety of steel structure greenhouse. To build an analysis model, we generated point cloud data of on-site greenhouse using a camera with LiDAR sensor. Subsequently, we extracted points corresponding to pipes using a pre-trained semantic segmentation model, achieving a pipe segmentation accuracy of 78.1%. These points were then converted into 3D frame model, with a location coordinate error of 5.4 cm for nine reference points, as measured by an on-site survey. In FEM structural analysis, nonlinearity of pipe connection was reflected. The loads were determined based on expected wind speed and snow depth in Korea. The structural safety of on-site model was diagnosed more vulnerable with 10.3% higher maximum axial stress, compared with standard model. Through this research, we expect the quantitative safety diagnosis of predicting greenhouse collapse risk. In addition, this technique will enable localized reinforcement strategies within the structure.

• 한국조경학회지
• /
• 제40권4호
• /
• pp.18-27
• /
• 2012

본 연구는 패럴랙스 효과를 고려하여 동해안 곰솔림의 경관관리 방안을 제시하는 것을 목적으로 하였다. 연구를 위해 10개 동해안의 곰솔림에 대해 폭원, 간격, 직경이 조사되었다. 곰솔림 관리방법으로 정량 솎아베기 방법이 사용되었다. 조사를 통해 경관(바다, 논, 산, 주거지, 상업지), 수목의 직경(16cm, 22cm, 28cm), 수목의 간격(5m, 7m, 10m)의 유형이 도출되었다. 각 유형을 조합하여 작성된 45개의 경관 시뮬레이션 이미지에 대해 어의구별척도와 리커트척도로 경관선호도가 조사되었다. 연구결과는 다음과 같다. 경관선호도의 평균 비교 결과, 자연적 요소(바다, 산, 논)는 경관선호도가 높고 인공적 요소(주거, 상업)는 낮게 나타났다. 특히, 바다에서 곰솔의 간격이 7m일 때 가장 높은 선호도를 보였다. 경관을 구성하는 요소들(녹지, 하늘, 건물, 도로 등)의 시각량과 경관선호도는 상관성이 매우 낮게 나타났다. 요인분석 결과, 깊이감(78%), 다양함(15.6%), 공간감(6.4%)의 3요인이 추출되었다. 깊이감과 공간감요인은 직경 28cm에서 유의한 차이를 보였다. 이는 직경이 클 때 입체감이 커져 원근감을 강하게 발생시키기 때문인 것으로 보인다. 수목 간격은 5, 7, 10m의 공간감이 각각 유의한 차이를 보였다. 이는 경관선호도가 높은 10m를 기준으로 곰솔림의 솎아베기가 경관관리에 효과적일 수 있음을 의미하는 것으로 볼 수 있다.

• 한국조경학회지
• /
• 제41권1호
• /
• pp.34-43
• /
• 2013

이 연구의 목적은 표토보존을 위해 국내 개발분야 중 주요한 사례에 해당하는 하천개발분야에서 표토관리의 실태를 조사 및 분석하는 데 있다. 전문가를 대상으로 한 설문조사를 통해 하천개발과정에서 표토관리의 실태와 문제를 파악하였다. 이를 분명히 하기 위해 국내 하천개선사업 중 환경부의 감독을 받는 생태하천복원사업으로서 최근 완료된 하천을 중심으로 개발 전과 개발 후의 토양특성을 분석하였다. 연구 결과는 다음과 같다. 첫째, 전문가들은 식물생장을 위해 최선의 토양관리 및 개선방법으로서 표토의 수거 및 재활용을 선호하였다. 둘째, 경제적 문제와 시공의 불편 때문에 실제 표토의 수거 및 재활용은 제대로 이루어지고 있지 않다. 셋째, 개발 후 식물생장에 필요한 유기물, 총질소 등 토양조건 요인들이 전반적으로 감소한다.

• 한국조경학회지
• /
• 제23권4호
• /
• pp.1-11
• /
• 1996

The purpose of this study was to suggest the more efficient system for management in urban park through the investigation of the managemental condition. Research sites for managemental condition were 9 municipal park managemental offices in Seoul, Pusan and Taegu. The degree of the managemental state in these parks was generally passive and low. So, each of them had to consider the ways how to buy private-owned sites, to standardize facility maintenance, to characterize the managemental objects, to enlarge managemental personnels and systems, to apply entrusting management, to plan user-service strategies and to shorten expenditures. Particularly the positive managemental improvement in user control was demanded to cope with the changing social needs. In long term, they had to develop basic elements for the reasonable park management, clear park maps, area of facilities, the event, citizen participation, budgets and etc., and had to prepare the middle-long term management plan and the precise analysis to the managemental criteria.

• 한국전통조경학회지
• /
• 제37권1호
• /
• pp.68-75
• /
• 2019

본 연구는 4차 산업혁명 시대에 대응한 조경학 분야의 적용방안을 살펴보는데 목적이 있으며, 4차 산업혁명의 동향을 분석하고 이에 따른 조경학 분야에의 적용방안을 모색한 결과는 다음과 같다. 첫째, 4차 산업혁명은 디지털 기술을 기반으로 하는 혁신적 변화를 의미하며 지능정보기술 기반 가치창출을 추구하고 있으며, 기술혁신을 통한 지속적 성장이 이루어지고 있다. 이에 조경학 분야에서도 많은 양의 정보를 취합하고 이를 창의적으로 재가공할 수 있는 전문성이 요구되며, 시대적 변화에 유연하게 대처할 수 있는 전략 마련이 요구된다 하겠다. 둘째, 조경학 분야에서의 4차 산업혁명 대응 기술적용 현황을 살펴본 결과, 드론을 활용한 측량 기술이나 글로벌 맵핑 등의 정밀분석결과 구축, 3차원 설계 시뮬레이션, VR 등이 일반화되고 있으며, 전통조경 분야에서는 조경공간 구성요소에 대한 정밀 실측자료 구득에 노력을 기울이고 있다. 셋째, 향후 4차 산업혁명 시대에 따른 조경학 분야의 적용방안은 기술 분야에서 정밀기술의 보급 및 프로그램의 보급, 공유 플랫폼 제공 등이 요구되며, 이에 대해 제도적으로 표준화된 프로세스가 구축되어야 할 것이다. 또한 기술개발을 위한 경제적 지원과 전문인력 양성을 위한 교육적 노력이 지속되어야 한다.

• 한국조경학회지
• /
• 제51권3호
• /
• pp.54-69
• /
• 2023

본 연구는 도시공원 이용자 분포를 조사하여 이들이 어디에서 왔는지 알기 어려운 기존 연구의 한계를 극복하고자 모바일 시그널 데이터를 활용하여 이용자 분포를 기반으로 공원 계획 및 관리에 활용할 수 있는 시사점을 제공하는 연구이다. 연구의 대상지는 다양한 물리적 특성을 지닌 서울 성동구 도시공원 5곳을 선정하였다. 서울시 빅데이터캠퍼스에서 제공받은 모바일 신호데이터를 사용하여 이용자 유입분포를 공원별 핫스팟 분석을 통해 파악하고 도시 맥락과 공원 영향권의 관계에 대해 도출했다. 공원 주변 상업비율이 높은 서울숲(P1)과 성수공원(P3)은 주변이 주거지역인 응봉공원(P2), 독서당공원(P4), 대현산공원(P5)보다 넓은 사용자 핫스팟을 보여주었다. 주변에 상업공간이 많은 공원이 넓은 영향권을 보였으며, 공원의 규모가 크고 경사가 완만한 공원은 영향권이 더 넓게 나타났다. 본 연구는 공원 이용자의 유입 분포를 기반으로 도시 공원 계획과 관리에 기존과 다른 자료를 기반으로 한 접근 방식을 제안했다.

• Journal of the Korean Institute of Landscape Architecture International Edition
• /
• 제1호
• /
• pp.159-166
• /
• 2001

Regional development and community design has become very important these days. Especially in Hyogo Prefecture after the Great Hanshin Awaji Earthquake, voluntary works have become more popular. With citizen participation, environmental circumstances change a lot. It is becoming very difficult for municipal governments alone to achieve every desirable project. NPOs made of professional members in the Hanshin area have conducted notable activities after the earthquake. At the same time it is necessary also to educate citizens for community design with greenery. These people will support their town design along with professionals. Awaji Landscape and Horticulture Planning Academy provides an excellent educational program, an introduction and examination of which should be valuable. The main concept of the education program is to foster the growth of local community design leaders. Students appreciated the programs very much even if initially they expected a more practical program about planting than programs that teach community design. Many people are active in their own towns to create better environments and communities. The network system "Alpha Green-Net" is functional to support graduates of the course. In the future these educational programs for citizens will becomes very important. Other cities are starting to have their own progrms, but they are still very short term. "Alpha Green-Net" is in the process of growing. Many members are very keen to develop their own abilities. In the future these NPOs should become independent. To help these NPOs become independent and active the educational programs should consider and teach about how to do this more in the future.