• Title/Summary/Keyword: optimization problems

Search Result 2,423, Processing Time 0.031 seconds

Numerical study of strength reduction-induced capillary rise effect for unsaturated soil

  • Shwan, Bestun J.
    • Geomechanics and Engineering
    • /
    • v.31 no.4
    • /
    • pp.385-393
    • /
    • 2022
  • Previous studies postulated insignificant capillary rise (hc) effect above the water table (Hw) for unsaturated soils. In addition, these studies utilised dry unit weight above Hw. This paper, therefore, addresses the effect of these postulations on strength where the influence of hc using a modified upper bound approach, Discontinuity Layout Optimization (UNSAT-DLO) for a simulated soil was predicted. Two different parametric studies to model passive earth pressure and bearing capacity problems are carried out to provide an insight into the effect of capillary rise on strength. Significant increase in strength, owing to unsaturated conditions, was obtained where the maximum increase was when suction slightly less or greater than the air entry suction. On the other hand, the results showed a negative effect of hc. For example, up to 8.24% decrease in passive thrust (Pp) was obtained at Hw=0 m when hc rose 1 m from 0 m. To put this into perspective, this was equivalent to a decrease of about 2° in 𝜙 at Hw=0 m and hc =0 m in order to obtain the same result at hc =1 m. For the bearing capacity problem, the effect was seen to be higher, up to 18.4% decrease in N𝛾 was obtained when hc rose from 0 m to 2.5 m at Hw =0 m. In addition, the results revealed a negative influence of assigning dry unit weight above Hw or hc.. However, considerable increase in strength was obtained when unsaturated unit weight above hc was assigned.

Development a scheduling model for AGV dispatching of automated container terminals (자동화 컨테이너 터미널의 AGV 배차 스케줄링 모형 개발)

  • Jae-Yeong Shin;Ji-Yong Kwon;Su-Bin Lee
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2023.05a
    • /
    • pp.59-60
    • /
    • 2023
  • The automation of container terminals is an important factor that determines port competitiveness, and global advanced ports tend to strengthen their competitiveness through container terminal automation. The operational efficiency of the AGV, which is an essential transport equipment of the automated terminal, can improve the productivity of the automated terminal. The operation of AGVs in automated container terminals differs from that of conventional container terminals, as it is based on an automated system in which AGVs travel along designated paths and operate according to assigned tasks, requiring consideration of factors such as workload, congestion, and collisions. To prevent such problems and improve the efficiency of AGV operations, a more sophisticated model is necessary. Thus, this paper proposes an AGV scheduling model that takes into account the AGV travel path and task assignment within the terminal The model prevent the problem of deadlock and. various cases are generated by changing AGV algebra and number of tasks to create AGV driving situations and evaluate the proposed algorithm through algorithm and optimization analysis.

  • PDF

The Characteristics related to Pulmonary Rehabilitation in Patients with Chronic Obstructive Pulmonary Disease: A Cross-sectional Study, Data from the Korea National Health and Nutrition Examination Survey 2015-2019.

  • Kyeongbong Lee
    • Physical Therapy Rehabilitation Science
    • /
    • v.12 no.3
    • /
    • pp.229-239
    • /
    • 2023
  • Objective: Patients with chronic obstructive pulmonary disease (COPD) may experience reduced physical activity and quality of life (QoL) due to decreased pulmonary function. The purpose of this study was to investigate the level of pulmonary function, physical activity, and QoL of COPD patients. Design: Cross-sectional observational study. Methods: This study examined the published data of the Korea National Health and Nutrition Examination Survey in 2015-2019. Among 39,759 subjects who participated for 5 years, data from 151 patients diagnosed with COPD were analyzed separately. For the pulmonary function, the results of forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), FEV6, forced expiratory flow 25-75%, and peak expiratory flow were observed. Physical activity was identified as frequency and duration. For the QoL, EQ-5D-3L evaluation results were examined, and the frequency and index of the Korean version were investigated. Results: In pulmonary function, all variables were found to be lower than age and weighted matched normal values. COPD patients showed to perform very low levels of high/medium physical activity and sitting time was confirmed to be more than 8 hours a day. In QoL, it was found that the highest reporting rate of some problems was the "pain and discomfort" and "mobility". Conclusions: It was found that COPD patients showed that the prevalence of circulatory disease was relatively high, lowered pulmonary function, and QoL. These can be improved through regular physical activity, and it is thought that this can be achieved through optimization of pulmonary rehabilitation.

Queue Lengths and Sojourn Time Analysis of Discrete-time BMAP/G/1 Queue under the Workload Control (일량제어정책을 갖는 이산시간 BMAP/G/1 대기행렬의 고객수와 체재시간 분석)

  • Se Won Lee
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.29 no.1
    • /
    • pp.63-76
    • /
    • 2024
  • In this study, we analyzed queue length and sojourn time of discrete-time BMAP/G/1 queues under the workload control. Group customers (packets) with correlations arrive at the system following a discrete-time Markovian arrival process. The server starts busy period when the total service time of the arrived customers exceeds a predetermined workload threshold D and serves customers until the system is empty. From the analysis of workload and waiting time, distributions of queue length at the departure epoch and arbitrary time epoch and system sojourn time are derived. We also derived the mean value as a performance measure. Through numerical examples, we confirmed that we can obtain results represented by complex forms of equations, and we verified the validity of the theoretical values by comparing them with simulation results. From the results, we can obtain key performance measures of complex systems that operate similarly in various industrial fields and to analyze various optimization problems.

A study on the performance improvement of the quality prediction neural network of injection molded products reflecting the process conditions and quality characteristics of molded products by process step based on multi-tasking learning structure (다중 작업 학습 구조 기반 공정단계별 공정조건 및 성형품의 품질 특성을 반영한 사출성형품 품질 예측 신경망의 성능 개선에 대한 연구)

  • Hyo-Eun Lee;Jun-Han Lee;Jong-Sun Kim;Gu-Young Cho
    • Design & Manufacturing
    • /
    • v.17 no.4
    • /
    • pp.72-78
    • /
    • 2023
  • Injection molding is a process widely used in various industries because of its high production speed and ease of mass production during the plastic manufacturing process, and the product is molded by injecting molten plastic into the mold at high speed and pressure. Since process conditions such as resin and mold temperature mutually affect the process and the quality of the molded product, it is difficult to accurately predict quality through mathematical or statistical methods. Recently, studies to predict the quality of injection molded products by applying artificial neural networks, which are known to be very useful for analyzing nonlinear types of problems, are actively underway. In this study, structural optimization of neural networks was conducted by applying multi-task learning techniques according to the characteristics of the input and output parameters of the artificial neural network. A structure reflecting the characteristics of each process step was applied to the input parameters, and a structure reflecting the quality characteristics of the injection molded part was applied to the output parameters using multi-tasking learning. Building an artificial neural network to predict the three qualities (mass, diameter, height) of injection-molded product under six process conditions (melt temperature, mold temperature, injection speed, packing pressure, pacing time, cooling time) and comparing its performance with the existing neural network, we observed enhancements in prediction accuracy for mass, diameter, and height by approximately 69.38%, 24.87%, and 39.87%, respectively.

Implementation of A Thin Film Hydroponic Cultivation System Using HMI

  • Gyu-Seok Lee;Tae-Sung Kim;Myeong-Chul Park
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.4
    • /
    • pp.55-62
    • /
    • 2024
  • In this paper, we propose a thin-film hydroponic plant cultivator using HMI display and IoT technology. Existing plant cultivators were difficult to manage due to soil-based cultivation, and it was difficult to optimize environmental conditions due to the open cultivation environment. In addition, there are problems with plant cultivation as immediate control is difficult and growth of plants is delayed. To solve this problem, a cultivation environment was established by connecting the MCU and sensors, and the environment information could be checked and quickly controlled by linking with the HMI display. Additionally, a case was applied to minimize changes in environmental information. Implementation of a thin-film hydroponic cultivation system made soil management easier, improved functionality through operation and control, and made it easy to understand environmental information through the display. The effectiveness of rapid growth was confirmed through crop cultivation experiments in existing growers and hydroponic growers. Future research directions will include optimizing growth information by transmitting and storing cultivation environment information and linking and comparing growth information using vision cameras. It is expected that this will enable efficient and stable plant cultivation.

A Combined Greedy Neighbor Generation Method of Local Search for the Traveling Salesman Problem

  • Yongho Kim;Junha Hwang
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.4
    • /
    • pp.1-8
    • /
    • 2024
  • The traveling salesman problem(TSP) is one of the well known combinatorial optimization problems. Local search has been used as a method to solve TSP. Greedy Random Insertion(GRI) is known as an effective neighbor generation method for local search. GRI selects some cities from the current solution randomly and inserts them one by one into the best position of the current partial solution considering only one city at a time. We first propose another greedy neighbor generation method which is named Full Greedy Insertion(FGI). FGI determines insertion location one by one like GRI, but considers all remaining cities at once. And then we propose a method to combine GRI with FGI, in which GRI or FGI is randomly selected and executed at each iteration in simulated annealing. According to the experimental results, FGI alone does not necessarily perform very well. However, we confirmed that the combined method outperforms the existing local search methods including GRI.

Conceptual design study on Plutonium-238 production in a multi-purpose high flux reactor

  • Jian Li;Jing Zhao;Zhihong Liu;Ding She;Heng Xie;Lei Shi
    • Nuclear Engineering and Technology
    • /
    • v.56 no.1
    • /
    • pp.147-159
    • /
    • 2024
  • Plutonium-238 has always been considered as the one of the promising radioisotopes for space nuclear power supply, which has long half-life, low radiation protection level, high power density, and stable fuel form at high temperatures. The industrial-scale production of 238Pu mainly depends on irradiating solid 237NpO2 target in high flux reactors, however the production process faces problems such as large fission loss and high requirements for product quality control. In this paper, a conceptual design study of producing 238Pu in a multi-purpose high flux reactor was evaluated and analyzed, which includes a sensitivity analysis on 238Pu production and a further study on the irradiation scheme. It demonstrated that the target structure and its location in the reactor, as well as the operation scheme has an impact on 238Pu amount and product quality. Furthermore, the production efficiency could be improved by optimizing target material concentration, target locations in the core and reflector. This work provides technical support for irradiation production of 238Pu in high flux reactors.

Optimization of Coal Ash Water Treatment Conditions to Suppress Concrete Pop-out Based on Coal Ash Containing Expansion Components (팽창성분이 혼입된 석탄재 기반 콘크리트의 팝아웃 발생 억제를 위한 석탄재 수처리 조건 최적화)

  • Jae-Jin Hong;Joo-Han Kang;Mi-Na Kim;Woo-Seong Choi;Myung-Jun Oh;Seong-Yun Kim
    • Composites Research
    • /
    • v.37 no.3
    • /
    • pp.226-231
    • /
    • 2024
  • Coal ash has been used as a sand replacement in the construction industry. Due to the use of bituminous coal as a result of anthracite depletion, and quicklime as an air purifier in the desulfurization process, pop-out defects have recently occurred in concrete using coal ash, severely limiting the recycling of coal ash into concrete. In this study, the components that cause the pop-out problem of the coal ash filled concrete were identified and a pretreatment method to fully expand the expansive components in advance was proposed as a solution to this problem. By treating water twice for 10 min, allowing the CaO mixed in the coal ash to fully expand, the problems of pop-out and reduced compressive strength of the concrete were overcome. The cost and time efficient water treatment method proposed in this study is expected to promote the recycling of coal ash into concrete.

Study on bearing capacity of combined confined concrete arch in large-section tunnel

  • Jiang Bei;Xu Shuo;Wang Qi;Xin Zhong Xin;Wei Hua Yong;Ma Feng Lin
    • Steel and Composite Structures
    • /
    • v.51 no.2
    • /
    • pp.117-126
    • /
    • 2024
  • There are many challenges in the construction of large-section tunnels, such as extremely soft rock and fractured zones. In order to solve these problems, the confined concrete support technology is proposed to control the surrounding rocks. The large-scale laboratory test is carried out to clarify mechanical behaviours of the combined confined concrete and traditional I-steel arches. The test results show that the bearing capacity of combined confined concrete arch is 3217.5 kN, which is 3.12 times that of the combined I-steel arch. The optimum design method is proposed to select reasonable design parameters for confined concrete arch. The parametric finite element (FE) analysis is carried out to study the effect of the design factors via optimum design method. The steel pipe wall thickness and the longitudinal connection ring spacing have a significant effect on the bearing capacity of the combined confined concrete arch. Based on the above research, the confined concrete support technology is applied on site. The field monitoring results shows that the arch has an excellent control effect on the surrounding rock deformation. The results of this research provide a reference for the support design of surrounding rocks in large-section tunnels.