• 한국방재안전학회논문집
• /
• 제16권2호
• /
• pp.33-47
• /
• 2023

｢소규모 공공시설 안전관리 등에 관한 법률(2015 제정)｣에 따라 각 지자체에서는 소규모 공공시설을 선정하고, 매년 안전점검을 실시하고 있다. 소규모 공공시설 중 소교량은 세천과 더불어 재해위험성이 높고 마을주민의 공공이용성이 높은 시설이나, 그 개소수가 매우 많아 지자체의 한정된 인원으로 관리하기 어려운 시설에 해당한다. 따라서 지자체의 관리능력을 고려하여 합리적인 선정방법이 필요하며, 객관적 위험도 평가를 통한 위험시설의 선정 및 정비계획의 수립이 요구된다. 이에 본 연구에서는 지자체의 관리능력을 고려하여 소교량의 구조적, 기능적 분류를 통한 선정방법을 제시하고, 위험도 평가 10개 항목의 정량적 평가지표를 제시함으로써 객관적인 위험도 평가가 이루어질 수 있는 방안을 제시하였다.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2008년도 추계 학술발표회
• /
• pp.767-774
• /
• 2008

The spot where bottom foundation of a marine bridge is constructed is deep in depth of water and a bedrock, bearing stratum, is very deeply distributed. So, I analyzed material of soil profile and then evaluate bearing capacity and safety of settlement when a stake of site construction is designed using a projection cast in place concrete pile and a sacrifice steel cast in place pile. Also, I analyzed and researched pratical affairs like a slime processing and plumbing maintenance in supervision of execution.

• 한국항해항만학회지
• /
• 제27권6호
• /
• pp.611-618
• /
• 2003

It can be said that the relationship between the maneuvering ability of operators and the navigational environment affects the safe degree of navigation in the collision avoidance situation. In order to reduce the occurrence probability of accident and to maintain the safety, it is necessary to clarify the relationship between human behavior and navigational environment. In this study, therefore, we analyzed and discussed the relationship between the maneuvering characteristics and the safety focused on human behavior as a fundamental factor of marine accidents using ship handling simulator and questionnaire. As a result, we concluded that navigational environment changes variously and the maneuvering ability of operators also varies with the navigational environment, and the ship handling characteristics strongly affect the occurrence probability of accident.

• Journal of international Conference on Electrical Machines and Systems
• /
• 제2권1호
• /
• pp.51-56
• /
• 2013

With the active development of hybrid electric vehicle (HEV), the application of interior permanent magnet synchronous motor (IPMSM) has been expanded. As wide driving region of IPMSM for electric vehicle (EV) traction motor is required, many studies are conducted to improve characteristics of a motor in both low and high-speed driving regions. A motor in high-speed driving region generates (produces) large stress to the rotor. Thus, the rotor needs to be designed considering the mechanical safety. Therefore, in this paper, we conducted stress analysis and electromagnetic analysis to determine the centerpost's distance which is considered important during the design of IPMSM for EV traction motor in order to secure mechanical safety and satisfy specifications of output requirement.

• Journal of Power Electronics
• /
• 제17권6호
• /
• pp.1391-1401
• /
• 2017

In this paper, a secondary resonance half-bridge dc-dc converter with an inductive output filter is presented. The primary side of such a converter utilizes asymmetric pulse width modulation (APWM) to achieve zero-voltage switching (ZVS) of the switches, and clamps the voltage of the switch to the input voltage. In addition, zero current switching (ZCS) of the output diode is achieved by a half-wave rectifier circuit with a filter inductor and a resonant branch in the secondary side of the proposed converter. Thus, the switching losses and diode reverse-recovery losses are eliminated, and the performance of the converter can be improved. Furthermore, an inductive output filter exists in the converter reduce the output current ripple. The operational principle, performance analysis and design equation of this converter are given in this paper. The analysis results show that the output diode voltage stress is independent of the duty cycle, and that the voltage gain is almost linear, similar to that of the isolation Buck-type converter. Finally, a 200V~380V input, 24V/2A output experimental prototype is built to verify the theoretical analysis.

• 한국지반환경공학회 논문집
• /
• 제22권4호
• /
• pp.5-13
• /
• 2021

철도 분야에서 구조물 접속부는 지지강성이 갑작스럽게 변화하는 구간으로 갑작스럽게 지지강성이 변화하면 강성차로 인해 구조물 접속부에는 부등침하가 발생하게 된다. 이러한 부등침하는 열차의 주행안전성과 궤도를 지지하는 노반에 문제를 발생시킨다. 특히 구조물 접속부 중 교량-토공 접속부에서 부등침하에 관하 연구는 대부분 열차하중을 고려하였을 뿐 지진을 고려한 연구는 미비한 실정이다. 이에 본 연구에서는 구조물 접속부의 형상이 지진 시 교량-토공 접속부의 동적거동에 미치는 영향을 확인하기 위해 구조물 접속부의 형상을 결정하는 어프로치블록의 기울기와 토공의 기울기를 변화시켜 수치해석을 수행하였다. 그 결과 교량-토공 접속부에서의 동적 거동은 구조물 접속부의 형상에 영향을 받는 것으로 나타났다.

• Smart Structures and Systems
• /
• 제24권3호
• /
• pp.403-414
• /
• 2019

Offshore drilling has become a key process for obtaining oil. Offshore platforms have many applications, including oil exploration and production, navigation, ship loading and unloading, and bridge and causeway support. However, vibration problems caused by severe environmental loads, such as ice, wave, wind, and seismic loads, threaten the functionality of platform facilities and the comfort of workers. These concerns may result in piping failures, unsatisfactory equipment reliability, and safety concerns. Therefore, the vibration control of offshore platforms is essential for assuring structural safety, equipment functionality, and human comfort. In this study, an optimal multiple tuned mass damper (MTMD) system was proposed to mitigate the excessive vibration of a three-dimensional offshore platform under ice and earthquake loadings. The MTMD system was designed to control the first few dominant coupled modes. The optimal placement and system parameters of the MTMD are determined based on controlled modal properties. Numerical simulation results show that the proposed MTMD system can effectively reduce the displacement and acceleration responses of the offshore platform, thus improving safety and serviceability. Moreover, this study proposes an optimal design procedure for the MTMD system to determine the optimal location, moving direction, and system parameters of each unit of the tuned mass damper.

• Computers and Concrete
• /
• 제14권6호
• /
• pp.727-743
• /
• 2014

The management of existing concrete bridges has become a major social concern in many developed countries due to the large number of bridges exhibiting signs of significant deterioration. This problem has increased the demand for effective maintenance and renewal planning. In order to implement an appropriate management procedure for a structure, a wide array of corrective strategies must be evaluated with respect to not only the condition state of each defect but also safety, economy and sustainability. This paper describes a new performance evaluation system for existing concrete bridges. The system evaluates performance based on load carrying capability and durability from the results of a visual inspection and specification data, and describes the necessity of maintenance. It categorizes all girders and slabs as either unsafe, severe deterioration, moderate deterioration, mild deterioration, or safe. The technique employs an expert system with an appropriate knowledge base in the evaluation. A characteristic feature of the system is the use of neural networks to evaluate the performance and facilitate refinement of the knowledge base. The neural network proposed in the present study has the capability to prevent an inference process and knowledge base from becoming a black box. It is very important that the system is capable of detailing how the performance is calculated since the road network represents a huge investment. The effectiveness of the neural network and machine learning method is verified by comparing diagnostic results by bridge experts.

• Steel and Composite Structures
• /
• 제42권6호
• /
• pp.843-853
• /
• 2022

The fatigue behavior of welded open rib-to crossbeam joints (ORCJ) in orthotropic bridge structures is investigated using a traction structural stress method. The fatigue behaviors of welded open rib-to crossbeam joints have been a subject of study for decades for ensuring operational safety and future design improvement. A mesh-insensitive combination of traction structural stresses in ORCJ was obtained considering the effect of in-plane shear stress and validated by fatigue test results. The proposed method is advantageous for predicting fatigue cracks that initiate from the crossbeam cutout and propagate along the crossbeam. The investigations carried out with the proposed approach reveal that the normal structural stress decreases with the propagation of fatigue cracks, while the ratio of shear stress to normal stress increases. The effect of shear structural stress is significant for the analysis of fatigue behavior of ORCJ in multiaxial stress states.

• Wind and Structures
• /
• 제38권1호
• /
• pp.75-91
• /
• 2024

Reliable wind signal reconstruction can be beneficial to the operational safety of long-span bridges. Non-Gaussian characteristics of wind signals make the reconstruction process challenging. In this paper, non-Gaussian wind signals are converted into a combined prediction of two kinds of features, actual wind speeds and wind angles of attack. First, two decomposition techniques, empirical mode decomposition (EMD) and variational mode decomposition (VMD), are introduced to decompose wind signals into intrinsic mode functions (IMFs) to reduce the randomness of wind signals. Their principles and applicability are also discussed. Then, four artificial intelligence (AI) algorithms are utilized for wind signal reconstruction by combining the particle swarm optimization (PSO) algorithm with back propagation neural network (BPNN), support vector regression (SVR), long short-term memory (LSTM) and bidirectional long short-term memory (Bi-LSTM), respectively. Measured wind signals from a bridge site in a deep-cutting gorge are taken as experimental subjects. The results showed that the reconstruction error of high-frequency components of EMD is too large. On the contrary, VMD fully extracts the multiscale rules of the signal, reduces the component complexity. The combination of VMD-PSO-Bi-LSTM is demonstrated to be the most effective among all hybrid models.