• 제목/요약/키워드: random loading

검색결과 224건 처리시간 0.023초

변동풍속의 파워 스펙트럴 밀도에 관한 평가 (Estimation on the Power Spectral Densities of Daily Instantaneous Maximum Fluctuation Wind Velocity)

  • 오종섭
    • 한국방재안전학회논문집
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    • 제10권2호
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    • pp.21-28
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    • 2017
  • 시공간적으로 불규칙하게 작용하는 변동 풍속 난류의 자료는 풍공학적으로 돌풍계수 평균풍속 변동 풍하중등의 계산에서 요구되지만, 내풍 및 사용성에 따른 동적응답의 평가에서는 변동 풍속의 파워 스펙트럴 밀도함수가 요구된다. 본 논문에서는 1987-2016.12.1일까지의 일순간최대풍속 자료를 확률과정으로 가정했고, 이 실측된 자료와 확률이론을 근거로 평균류방향 파워 스펙트럴 밀도 함수에 대한 기초적 자료를 얻고자 대표지점(6개 지점)을 선정했다. 선정된 각 지점에 대한 일순간최대풍속자료는 기상청으로부터 획득했다. 해석결과 본 논문에서 평가된 스펙트럼 모델은 저진동수 영역에서는 Solari, 고진동수 영역에서는 von Karman의 모델과 근접한 현상을 나타냈다.

강용접부의 피로거동에 미치는 용접후열처리 및 응력비의 영향 (Effect of PWHT and stress ratio on fatigue behavior of welded joints in steel)

  • 김경수;임재규;정세희
    • Journal of Welding and Joining
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    • 제5권3호
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    • pp.53-61
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    • 1987
  • Post weld heat treatment(PWHT) is usually carried out to remove the residual stress and to improve the microstructure and mechanical properties of welded joints. By the way, welding structure transformed owing to PWHT and reheating for repair loads the random cycles fatigue as offshore welding structure of constant low cycle fatigue as pressure vessel, and then, pre-existing flaws or cracks exist in a structural component and those cracks grow under cyclic loading. Therefore, the effects of PWHT and stress ratio on fatigue crack growth behaviors were studied on the three regions such as HAZ, sub-critical HAZ and deposit metal of welded joints in SM53 steel. Fatigue crack growth behavior of as-weld depended on microstructure and fatigue crack growth rate of HAZ was the lowest at eac region, but after PWHT it was somewhat higher than that of as-wel. In case of applying the stress($10kg/mm^2$) during PWHT, fatigue crack growth resistance tended to increase in the overall range of .DELTA.K.

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Blast Fragility and Sensitivity Analyses of Steel Moment Frames with Plan Irregularities

  • Kumar, Anil;Matsagar, Vasant
    • 국제강구조저널
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    • 제18권5호
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    • pp.1684-1698
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    • 2018
  • Fragility functions are determined for braced steel moment frames (SMFs) with plans such as square-, T-, L-, U-, trapezoidal-, and semicircular-shaped, subjected to blast. The frames are designed for gravity and seismic loads, but not necessarily for the blast loads. The blast load is computed for a wide range of scenarios involving different parameters, viz. charge weight, standoff distance, and blast location relative to plan of the structure followed by nonlinear dynamic analysis of the frames. The members failing in rotation lead to partial collapse due to plastic mechanism formation. The probabilities of partial collapse of the SMFs, with and without bracing system, due to the blast loading are computed to plot fragility curves. The charge weight and standoff distance are taken as Gaussian random input variables. The extent of propagation of the uncertainties in the input parameters onto the response quantities and fragility of the SMFs is assessed by computing Sobol sensitivity indices. The probabilistic analysis is conducted using Monte Carlo simulations. The frames have least failure probability for blasts occurring in front of their corners or convex face. Further, the unbraced frames are observed to have higher fragility as compared to counterpart braced frames for far-off detonations.

Vibration-based method for story-level damage detection of the reinforced concrete structure

  • Mehboob, Saqib;Zaman, Qaiser U.
    • Computers and Concrete
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    • 제27권1호
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    • pp.29-39
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    • 2021
  • This study aimed to develop a method for the determination of the damaged story in reinforced concrete (RC) structure with ambient vibrations, based on modified jerk energy methodology. The damage was taken as a localized reduction in the stiffness of the structural member. For loading, random white noise excitation was used, and dynamic responses from the finite element model (FEM) of 4 story RC shear frame were extracted at nodal points. The data thus obtained from the structure was used in the damage detection and localization algorithm. In the structure, two damage configurations have been introduced. In the first configuration, damage to the structure was artificially caused by a local reduction in the modulus of elasticity. In the second configuration, the damage was caused, using the Elcentro1940 and Kashmir2005 earthquakes in real-time history. The damage was successfully detected if the frequency drop was greater than 5% and the mode shape correlation remained less than 0.8. The results of the damage were also compared to the performance criteria developed in the Seismostruct software. It is demonstrated that the proposed algorithm has effectively detected the existence of the damage and can locate the damaged story for multiple damage scenarios in the RC structure.

Lateral impact behaviour of concrete-filled steel tubes with localised pitting corrosion

  • Gen Li;Chao Hou;Luming Shen;Chuan-Chuan Hou
    • Steel and Composite Structures
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    • 제47권5호
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    • pp.615-631
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    • 2023
  • Steel corrosion induces structural deterioration of concrete-filled steel tubes (CFSTs), and any potential extreme action on a corroded CFST would pose a severe threat. This paper presents a comprehensive investigation on the lateral impact behaviour of CFSTs suffering from localised pitting corrosion damage. A refined finite element analysis model is developed for the simulation of locally corroded CFSTs subjected to lateral impact loads, which takes into account the strain rate effects on concrete and steel materials as well as the random nature of corrosion pits, i.e., the distribution patterns and the geometric characteristics. Full-range nonlinear analysis on the lateral impact behaviour in terms of loading and deforming time-history relations, nonlinear material stresses, composite actions, and energy dissipations are presented for CFSTs with no corrosion, uniform corrosion and pitting corrosion, respectively. Localised pitting corrosion is found to pose a more severe deterioration on the lateral impact behaviour of CFSTs due to the plastic deformation concentration, the weakened confinement and the reduction in energy absorption capacity of the steel tube. An extended parametric study is then carried out to identify the influence of the key parameters on the lateral impact behaviour of CFSTs with localised pitting corrosion. Finally, simplified design methods considering the features of pitting corrosion are proposed to predict the dynamic flexural capacity of locally pitted CFSTs subjected to lateral impact loads, and reasonable accuracy is obtained.

A robust approach in prediction of RCFST columns using machine learning algorithm

  • Van-Thanh Pham;Seung-Eock Kim
    • Steel and Composite Structures
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    • 제46권2호
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    • pp.153-173
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    • 2023
  • Rectangular concrete-filled steel tubular (RCFST) column, a type of concrete-filled steel tubular (CFST), is widely used in compression members of structures because of its advantages. This paper proposes a robust machine learning-based framework for predicting the ultimate compressive strength of RCFST columns under both concentric and eccentric loading. The gradient boosting neural network (GBNN), an efficient and up-to-date ML algorithm, is utilized for developing a predictive model in the proposed framework. A total of 890 experimental data of RCFST columns, which is categorized into two datasets of concentric and eccentric compression, is carefully collected to serve as training and testing purposes. The accuracy of the proposed model is demonstrated by comparing its performance with seven state-of-the-art machine learning methods including decision tree (DT), random forest (RF), support vector machines (SVM), deep learning (DL), adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), and categorical gradient boosting (CatBoost). Four available design codes, including the European (EC4), American concrete institute (ACI), American institute of steel construction (AISC), and Australian/New Zealand (AS/NZS) are refereed in another comparison. The results demonstrate that the proposed GBNN method is a robust and powerful approach to obtain the ultimate strength of RCFST columns.

Identification of SNPs Related to 19 Phenotypic Traits Using Genome-wide Association Study (GWAS) Approach in Korean Wheat Mini-core Collection

  • Yuna Kang;Yeonjun Sung;Seonghyeon Kim;Changsoo Kim
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2020년도 춘계학술대회
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    • pp.120-120
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    • 2020
  • Based on the simple sequence repeat (SSR) marker, a Korean wheat core collection were established with 616 wheat accessions. Among them, the SNP genotyping for the entire genome was performed using DNA chip array to clarify the whole genome SNP profiles. Consequently, a total of 35,143 SNPs were found and we re-established a mini-core collection with 247 accessions. Population diversity and phylogenetic analysis revealed genetic diversity and relationships from the mini core set. In addition, genome-wide association study (GWAS) was performed on 19 phenotypic traits; ear type, awn length, culm length, ear length, awn color, seed coat color, culm color, ear color, loading, leaf length, leaf width, seeding stand, cold damage, weight, auricle, plant type, heading stage, maturation period, upright habit, and degree of flag leaf. The GWAS was performed using the fixed and random model circulating probability unification (FarmCPU), which identified 14 to 258 SNP loci related to 19 phenotypic traits. Our study indicates that this Korean wheat mini-core collection is a set of germplasm useful for basic and applied research with the aim of understanding and exploiting the genetic diversity of Korean wheat varieties.

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머신러닝 분류 알고리즘을 활용한 선박 접안속도 영향요소의 중요도 분석 (Analysis of Feature Importance of Ship's Berthing Velocity Using Classification Algorithms of Machine Learning)

  • 이형탁;이상원;조장원;조익순
    • 해양환경안전학회지
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    • 제26권2호
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    • pp.139-148
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    • 2020
  • 선박이 접안할 때 발생하는 접안에너지에 가장 영향력이 큰 요소는 접안속도이며, 과도한 경우 사고로 이어질 수 있다. 접안속도의 결정에 영향을 미치는 요소는 다양하지만 기존 연구에서는 일반적으로 선박 크기에 제한하여 분석하였다. 따라서 본 연구에서는 다양한 선박 접안속도의 영향요소를 반영하여 분석하고 그에 따른 중요도를 도출하고자 한다. 분석에 활용한 데이터는 국내 한 탱커부두의 선박 접안속도를 실측한 것을 바탕으로 하였다. 수집된 데이터를 활용하여 머신러닝 분류 알고리즘인 의사결정나무(Decision Tree), 랜덤포레스트(Random Forest), 로지스틱회귀(Logistic Regression), 퍼셉트론(Perceptron)을 비교분석하였다. 알고리즘 평가 방법으로는 혼동 행렬에 따른 모델성능 평가지표를 사용하였다. 분석 결과, 가장 성능이 좋은 알고리즘으로는 퍼셉트론이 채택되었으며 그에 따른 접안속도 영향요인의 중요도는 선박 크기(DWT), 부두 위치(Jetty No.), 재화상태(State) 순으로 나타났다. 이에 따라 선박 접안 시, 선박의 크기를 비롯하여 부두 위치, 재화 상태 등 다양한 요인을 고려하여 접안속도를 설계하여야 한다.

실제 구조계의 유한요소법에 기초한 지진 신뢰성해석 (FEM-based Seismic Reliability Analysis of Real Structural Systems)

  • 허정원
    • 한국전산구조공학회논문집
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    • 제19권2호
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    • pp.171-185
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    • 2006
  • 응답면기법, 유한요소법, 일차신뢰도법 그리고 반복 선형보간기법을 합리적으로 결합한 정교한 신뢰성해석 기법이 지진하중을 포함하는 단기 동적하중을 받는 복잡한 실제 비선형 동적구조계의 신뢰성 평가를 위하여 제안되었다. 기법은 하중 및 저항과 관련된 랜덤변수의 비선형성과 불확실성의 모든 중요 원천을 명시적으로 고려한다. 본 기법의 특징은 전통적 랜덤진동방법의 대안으로서 지진하중을 시간영역에서 적용하는 것이다. 실제 강프레임의 연결부에 대한 유연성을 표현하기 위하여 4-매개변수 리차드 모델을 사용하였다. 리차드 매개변수의 불확실성에 대한 고려도 알고리즘에 포함하였다. 다음으로 횡방향으로 유연한 강프레임을 철근콘크리트 전단벽으로 보강하였다. 균열 발생 후 전단벽에서의 강도저감 또한 고려되었다. 강절 연결부를 갖는 횡방향으로 유연한 강프레임, 각기 다른 강성의 부분강절 연결부를 갖는 강프레임, 그리고 콘크리트 전단벽으로 보강된 강프레임의 세 구조물을 고려함으로써 실제 구조물의 신뢰성평가를 위한 기법의 적용성을 검증하였다.

콘크리트 차폐(遮蔽) 구조물(構造物)의 신뢰성(信賴性) 해석방법(解析方法) (Reliability Analysis Method for Concrete Containment Structures)

  • 한봉구;장승필
    • 대한토목학회논문집
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    • 제10권1호
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    • pp.9-16
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    • 1990
  • 콘크리트 원전(原電) 차폐(遮蔽) 구조물(構造物)은 발생(發生) 가능(可能)한 각종(各種) 자연재해(自然災害) 또는 사고하중하(事故荷重下)에서도 안전성(安全性)이 보장(保障)되어야 한다. 그러나 현행(現行) 설계(設計) 규준(規準)은 신뢰성(信賴性) 설계(設計) 개념(槪念)에 의한 것이 아닌 재래적(在來的)인 설계(設計) 개념(槪念)을 그대로 사용(使用)하고 있는 실정(實情)이다. 본(本) 연구(硏究)에서는 구조물(構造物)의 사용성(使用性) 한계상태(限界狀態)와 FEM 해석(解析) 결과(結果)를 기초(基礎)로한 랜덤 진동(振動) 이론(理論)에 의한 확률적(確率的) 신뢰성(信賴性) 해석(解析) 방법(方法)에 대해 연구(硏究)하였다. 한계상태(限界狀態) 모형(模型)은 보다 실제적(實際的)인 방사능(放射能) 누출(漏出) 한계(限界) 균열(龜裂)에 대한 사용성(使用性) 한계상태(限界狀態)로 정의(定義)하였으며, 강도(强度) 한계상태(限界狀態)의 경우(境遇)와 비교(比較)하였다. 종래(從來)의 일반적(一般的) 신뢰성(信賴性) 해석(解析) 방법(方法)과는 달리 유한요소(有限要所) 해석(解析) 결과(結果)를 랜덤 진동이론(振動理論)에 결합(結合)하여 한계상태(限界狀態) 확률(確率)을 계산(計算)하므로써 지진하중(地震荷重) 등 각종(各種) 동적(動的) 하중(荷重)에 대한 보다 정확(正確)한 신뢰성(信賴性) 해석(解析)이 가능(可能)하게 되었다. 하중(荷重) 및 저항(抵抗)의 불확실량(不確實量)에 대해서는 가용(可用)한 국내외(國內外) 자료(資料)를 우리 실정(實情)에 맞게 수정보완(修整補完)하였으며, 특히 지진하중(地震荷重)의 경우, 설계(設計) 지진하중(地震荷重)은 한반도(韓半島) 지반(地盤) 가속도(加速度)에 대한 확률적(確率的) 연구(硏究) 결과(結果)를 종합(綜合)하여 산정(算定)하였다.

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