• Title/Summary/Keyword: Scale-model

Search Result 8,303, Processing Time 0.04 seconds

Low Impact Development Scenario Designing for Large-scale Urban Development using SWMM-ING Software (SWMM-ING 소프트웨어를 이용한 대규모 도시개발부지에 대한 저영향개발 시나리오 설계)

  • Woo, Won Hee;Lee, Hanyong;Choi, Hyun Seok;Park, Youn Shik
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2021.06a
    • /
    • pp.304-304
    • /
    • 2021
  • 도시화가 진행됨에 따라 불투수지역이 늘어나는 등 개발전과 다른 지표 및 지표하 유출이 나타나며, 이러한 변화는 생태적, 수문학적으로 대규모 변화가 나타나는 것을 의미한다. 이에 따라 물관리, 물순환 등 물 지속 가능성은 대중의 관심을 받아 법, 제도가 변화하며 도시화에 대한 세심한 접근과 관리에 대한 계획이 대두되고 있는 실정이다. 저영향개발(Low Impact Development)은 이러한 도시화로 인해 발생될 수 있는 문제를 해결하기 위한 방안의 하나로 제안되고 있으며 첨두 및 유출총량을 완화하여 개발 이전 상태의 수문학적 기능을 유지하거나 물리학 및 생물학적 기작을 통해 오염물질의 저감효과도 나타나 대규모 도시개발 및 유역관리 사업에서 저영향개발기법의 적용이 점차 늘어나고 있는 추세이다. 그러나 저영향개발기법 설치에 관한 구체적인 매뉴얼 또는 가이드라인이 부족한 실정이기 때문에 저영향개발기법이 계획단계에서 양적으로 무분별하게 적용되어 비용적 측면에서 시공자에게 부담을 가중시키는 등의 문제가 발생한다. 또한 시설의 위치에 따라 강우유출수 및 비점오염원 저감에 대한 효과가 상이하기 때문에 시설의 적정 위치선정 및 시설용량, 경제성을 고려한 시설효과 검토 등 저영향개발기법 적용시 사업부지 특성에 따른 최적화를 고려하여 계획 및 설계에 적용할 필요성이 있다. 이에 비용적 측면을 고려한 최적설계가 가능한 SWMM-ING(Storm Water Management Model - Low impact development desigN proGram)을 개발된 바 있다. SWMM-ING은 비전문가도 사용이 가능하도록 저영향개발기법 최적화과정이 간단하고 직관적이며 비용을 고려한 최적설계가 가능하도록 개발된 소프트웨어로 기법 적용시 개략적인 비용추정 및 배치선정 등 저영향개발기법의 설계최적화가 가능하다. 또한 각각의 저영향개발기법에 대한 초기설치비용, 유지관리비용, 이자율, 기대수명, 대상지역 내 공간적 위치를 반영하여 강우유출수 및 비점오염저감효과를 시나리오별로 제시가 가능한 장점이 있다. 본 연구에서는 SWMM-ING를 이용하여 대규모 도시개발부지의 저영향개발기법 적용에 따른 유량 및 수질저감효과를 평가하고 유지관리비를 포함한 비용을 추정하여 최적설계 검토를 수행하였다.

  • PDF

Shaping Formation and Behaviour Characteristic for SCST Structure by Cable-tensioning (Cable-tensioning에 의한 SCST 구조의 형상 형성과 거동 특성)

  • Kim, Jin-Woo;Kwon, Min-Ho
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.28 no.6A
    • /
    • pp.819-825
    • /
    • 2008
  • This paper describes the shaping formation and the erection of SCST structure by cable-tensioning. It could be a fast and economical method for constructing the space structure consisted with uniform pyramids by cable-tensioning of the cable in bottom chords. In the initial layout, the top chords and web members are left at their true length, the bottom chords are given gaps in proportion to the desired final shape. The feasibility of the proposed shaping method and the reliability of the established geometric model were confirmed with nonlinear finite element analysis and an experimental investigation on small scale and full size test models. As a result, the behaviour characteristic of MERO joint is very significant in shaping analysis of space structure. This study suggests the most reasonable modeling technique for the prediction of shaping in practices. And it is shown the characteristic of the behavior in shaping test for practical design purposes.

Evaluation of Pain Reduction and Clinical Efficacy of Feedback-Controlled Ultrasonic Scaler

  • Min-ju Kim;Hee-jung Lim;Myoung-hee Kim;Young-sun Hwang;Im-hee Jung
    • Journal of dental hygiene science
    • /
    • v.23 no.2
    • /
    • pp.176-184
    • /
    • 2023
  • Background: Recently, a piezoelectric ultrasonic scaler based on a feedback control mechanism was introduced for pain relief. This study aimed to investigate the effects of a new ultrasonic scaler in reducing pain and discomfort in adults. Methods: A newly introduced ultrasonic scaler (Master 700®) was used as the test device and a conventional ultrasonic scaler device (PIEZON®) was used as the control device. Forty-one healthy adults visited the dental clinic for dental scaling but did not undergo scaling or periodontal treatment within 6 months. Intraoral examinations were performed before scaling and 3 months later; before scaling, both devices were randomly assigned on the left or right side of each dentition (split-mouth model) and scaling was performed by a registered dental hygienist. The levels of pain and discomfort during scaling were evaluated subjectively and objectively using the visual analog scale (VAS) and physiological monitoring of the heart rate (HR), respectively. Time was measured for each device. Results: All clinical indicators, except bleeding on probing, significantly improved with both devices. The treatment times were 7 minutes, 13 minutes (control) and 6 minutes, 59 minutes (test). VAS scores for pain were 4.89±2.12 (control) and 4.58±2.77 (test) points out of 10; for noise, these were 4.68±2.33 (control) and 4.55±2.55 (test), and for vibration, the values were 4.26±2.0 (control) and 4.18±2.48 (test). HR averages were 72.34±3.39 (control) and 75.97±9.78 (test) beats/min. No statistically significant differences were observed between the devices. Conclusion:The pain, discomfort levels, and scaling time of the new piezoelectric ultrasonic scaler did not differ from those of the conventional device. Further research and development are necessary for more prominent pain-relief effects of scaling devices.

Impact of Sales Franchisor's Relationship-oriented Efforts on Relationship Quality and Recontract Intentions: From the Franchisee Perspective (판매 프랜차이즈 가맹본부의 관계지향적 노력이 가맹점의 관계품질과 재계약의도에 미치는 영향)

  • Hwang, Jae Kwang;Yang, In Seok;Lee, Yun Bok
    • The Korean Journal of Franchise Management
    • /
    • v.5 no.2
    • /
    • pp.25-49
    • /
    • 2014
  • This study is to examine the impact of sales franchisor's relationship-oriented efforts(flexibility, problem solving support, customization, information exchange, and supervisor characteristics) on relationship quality(satisfaction, trust, and commitment) and recontract intentions. In order to analyze proposed model, this study collected the 233 franchisees with owner or hired manager. The data were analyzed with SPSS/PC 18.0 and AMOS 18.0. First, to test unidimensionality and nomological validity of the measures of each construct we employed a scale refinement procedure. The result of reliability test with confirmatory factor analysis warranted unidimensionality of the measures for each construct. The findings are as follows: First, relationship-oriented efforts had positive effects on relationship quality (satisfaction, trust, and commitment) of franchisee. Second, satisfaction had positive effect on trust, but did not on recontract intentions. Third, trust had positive effects on commitment and recontract intentions, respectively. Finally, commitment had a positive effect on recontract intentions. At the end of this paper, managerial implications and limitations and future research directions were suggested.

Feasibility study on an acceleration signal-based translational and rotational mode shape estimation approach utilizing the linear transformation matrix

  • Seung-Hun Sung;Gil-Yong Lee;In-Ho Kim
    • Smart Structures and Systems
    • /
    • v.32 no.1
    • /
    • pp.1-7
    • /
    • 2023
  • In modal analysis, the mode shape reflects the vibration characteristics of the structure, and thus it is widely performed for finite element model updating and structural health monitoring. Generally, the acceleration-based mode shape is suitable to express the characteristics of structures for the translational vibration; however, it is difficult to represent the rotational mode at boundary conditions. A tilt sensor and gyroscope capable of measuring rotational mode are used to analyze the overall behavior of the structure, but extracting its mode shape is the major challenge under the small vibration always. Herein, we conducted a feasibility study on a multi-mode shape estimating approach utilizing a single physical quantity signal. The basic concept of the proposed method is to receive multi-metric dynamic responses from two sensors and obtain mode shapes through bridge loading test with relatively large deformation. In addition, the linear transformation matrix for estimating two mode shapes is derived, and the mode shape based on the gyro sensor data is obtained by acceleration response using ambient vibration. Because the structure's behavior with respect to translational and rotational mode can be confirmed, the proposed method can obtain the total response of the structure considering boundary conditions. To verify the feasibility of the proposed method, we pre-measured dynamic data acquired from five accelerometers and five gyro sensors in a lab-scale test considering bridge structures, and obtained a linear transformation matrix for estimating the multi-mode shapes. In addition, the mode shapes for two physical quantities could be extracted by using only the acceleration data. Finally, the mode shapes estimated by the proposed method were compared with the mode shapes obtained from the two sensors. This study confirmed the applicability of the multi-mode shape estimation approach for accurate damage assessment using multi-dimensional mode shapes of bridge structures, and can be used to evaluate the behavior of structures under ambient vibration.

Corroded and loosened bolt detection of steel bolted joints based on improved you only look once network and line segment detector

  • Youhao Ni;Jianxiao Mao;Hao Wang;Yuguang Fu;Zhuo Xi
    • Smart Structures and Systems
    • /
    • v.32 no.1
    • /
    • pp.23-35
    • /
    • 2023
  • Steel bolted joint is an important part of steel structure, and its damage directly affects the bearing capacity and durability of steel structure. Currently, the existing research mainly focuses on the identification of corroded bolts and corroded bolts respectively, and there are few studies on multiple states. A detection framework of corroded and loosened bolts is proposed in this study, and the innovations can be summarized as follows: (i) Vision Transformer (ViT) is introduced to replace the third and fourth C3 module of you-only-look-once version 5s (YOLOv5s) algorithm, which increases the attention weights of feature channels and the feature extraction capability. (ii) Three states of the steel bolts are considered, including corroded bolt, bolt missing and clean bolt. (iii) Line segment detector (LSD) is introduced for bolt rotation angle calculation, which realizes bolt looseness detection. The improved YOLOv5s model was validated on the dataset, and the mean average precision (mAP) was increased from 0.902 to 0.952. In terms of a lab-scale joint, the performance of the LSD algorithm and the Hough transform was compared from different perspective angles. The error value of bolt loosening angle of the LSD algorithm is controlled within 1.09%, less than 8.91% of the Hough transform. Furthermore, the proposed framework was applied to fullscale joints of a steel bridge in China. Synthetic images of loosened bolts were successfully identified and the multiple states were well detected. Therefore, the proposed framework can be alternative of monitoring steel bolted joints for management department.

Effect of a Mediterranean-style diet on the exercise performance and lactate elimination on adolescent athletes

  • Gizem Helvaci;Asli Ucar;Mehmet Mesut Celebi;Haydar Cetinkaya;Ayse Zulal Gunduz
    • Nutrition Research and Practice
    • /
    • v.17 no.4
    • /
    • pp.762-779
    • /
    • 2023
  • BACKGROUND/OBJECTIVES: Mediterranean diet is an environmentally friendly and healthy diet model. The diet offers many vegetables, fruits, nuts, and olive oil to consumers. In addition, it provides moderate amounts of fish and chicken, smaller quantities of dairy products, red meat, and processed meat. The Mediterranean diet has a high anti-inflammatory and antioxidant content, and it causes many physiological changes that can provide a physical performance advantage. This study examined the effects of a 15-day menu, which was planned using foods with a low acid load within the Mediterranean diet rules, on the exercise performance, lactate elimination, anthropometric measurements, and body composition. SUBJECTS/METHODS: Fifteen professional male athletes between the ages of 13 and 18, who were engaged in ski running, were included in the experimental study. Dietary intervention was applied for 15 days. The athlete performances were evaluated by applying the vertical jump test, hand grip strength, 20 meters shuttle run test, and Borg fatigue scale. After the shuttle run test (every 3 min for 30 min), blood was drawn from the finger, and the lactate elimination time was calculated. Performance and lactate measurements, body analysis, and anthropometric measurements were taken before and after dietary intervention. RESULTS: The vertical jump height and hand grip strength increased after the intervention (P < 0.05). The test duration, total distance, the number of shuttles, and maximum oxygen consumption parameters of the shuttle run test increased (P < 0.05). After the intervention, the athletes' perceived fatigue scores decreased in several stages of the shuttle run test (P < 0.05). The lactate elimination time and athlete's body composition were similar in repeated measurements (P > 0.05). In the last measurements, the upper middle arm circumference decreased while the height of the athletes increased (P < 0.05). CONCLUSIONS: These results show that the Mediterranean diet is a safe and feasible dietary approach for aerobic performance and strength increase.

Ultrasonic guided waves-based fatigue crack detection in a steel I-beam: an experimental study

  • Jiaqi Tu;Xian Xu;Chung Bang Yun;Yuanfeng Duan
    • Smart Structures and Systems
    • /
    • v.31 no.1
    • /
    • pp.13-27
    • /
    • 2023
  • Fatigue crack is a fatal problem for steel structures. Early detection and maintenance can help extend the service life and prevent hazards. This paper presents the ultrasonic guided waves-based (UGWs-based) fatigue crack detection of a steel I-beam. The semi-analytical finite element model has been built to obtain the wave propagation characteristics. Damage indices in both time and frequency domains were analyzed by considering the characteristic variations of UGWs including the amplitude, phase angle, and wave packet energy. The pulse-echo and pitch-catch methods were combined in the detection scheme. Lab-scale experiments were conducted on welded steel I-beams to verify the proposed method. Results show that the damage indices based on the characteristic variations in the time domain can identify and localize the fatigue crack before it enters the rapid growth stage. The damage severity can be reasonably evaluated by analyzing the time-domain damage indices. Two nonlinear damage indices in the frequency domain give earlier warnings of the fatigue crack than the time-domain damage indices do. The identification results based on the above two nonlinear indices are found to be less consistent under various excitation frequencies. More robust nonlinear techniques needed to be searched and tested for early crack detection in steel I-beams in further study.

Residual capacity assessment of in-service concrete box-girder bridges considering traffic growth and structural deterioration

  • Yuanyuan Liu;Junyong Zhou;Jianxu Su;Junping Zhang
    • Structural Engineering and Mechanics
    • /
    • v.85 no.4
    • /
    • pp.531-543
    • /
    • 2023
  • The existing concrete bridges are time-varying working systems, where the maintenance strategy should be planned according to the time-varying performance of the bridge. This work proposes a time-dependent residual capacity assessment procedure, which considers the non-stationary bridge load effects under growing traffic and non-stationary structural deterioration owing to material degradations. Lifetime bridge load effects under traffic growth are predicated by the non-stationary peaks-over-threshold (POT) method using time-dependent generalized Pareto distribution (GPD) models. The non-stationary structural resistance owing to material degradation is modeled by incorporating the Gamma deterioration process and field inspection data. A three-span continuous box-girder bridge is illustrated as an example to demonstrate the application of the proposed procedure, and the time-varying reliability indexes of the bridge girder are calculated. The accuracy of the proposed non-stationary POT method is verified through numerical examples, where the shape parameter of the time-varying GPD model is constant but the threshold and scale parameters are polynomial functions increasing with time. The case study illustrates that the residual flexural capacities show a degradation trend from a slow decrease to an accelerated decrease under traffic growth and material degradation. The reliability index for the mid-span cross-section reduces from 4.91 to 4.55 after being in service for 100 years, and the value is from 4.96 to 4.75 for the mid-support cross-section. The studied bridge shows no safety risk under traffic growth and structural deterioration owing to its high design safety reserve. However, applying the proposed numerical approach to analyze the degradation of residual bearing capacity for bridge structures with low safety reserves is of great significance for management and maintenance.

Optimal sensor placement for structural health monitoring based on deep reinforcement learning

  • Xianghao Meng;Haoyu Zhang;Kailiang Jia;Hui Li;Yong Huang
    • Smart Structures and Systems
    • /
    • v.31 no.3
    • /
    • pp.247-257
    • /
    • 2023
  • In structural health monitoring of large-scale structures, optimal sensor placement plays an important role because of the high cost of sensors and their supporting instruments, as well as the burden of data transmission and storage. In this study, a vibration sensor placement algorithm based on deep reinforcement learning (DRL) is proposed, which can effectively solve non-convex, high-dimensional, and discrete combinatorial sensor placement optimization problems. An objective function is constructed to estimate the quality of a specific vibration sensor placement scheme according to the modal assurance criterion (MAC). Using this objective function, a DRL-based algorithm is presented to determine the optimal vibration sensor placement scheme. Subsequently, we transform the sensor optimal placement process into a Markov decision process and employ a DRL-based optimization algorithm to maximize the objective function for optimal sensor placement. To illustrate the applicability of the proposed method, two examples are presented: a 10-story braced frame and a sea-crossing bridge model. A comparison study is also performed with a genetic algorithm and particle swarm algorithm. The proposed DRL-based algorithm can effectively solve the discrete combinatorial optimization problem for vibration sensor placements and can produce superior performance compared with the other two existing methods.