• Steel and Composite Structures
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• 제49권4호
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• pp.407-417
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• 2023

After a disaster like the catastrophic earthquake, the government have to use rapid assessment of the condition (or damage) of bridges, buildings and other infrastructures is mandatory for rapid feedbacks, rescue and post-event management. Many domain schemes based on the measured vibration computations, including least squares estimation and neural fuzzy logic control, have been studied and found to be effective for online/offline monitoring of structural damage. Traditional strategies require all external stimulus data (input data) which have been measured available, but this may not be the generalized for all structures. In this article, a new method with unknown inputs (excitations) is provided to identify structural matrix such as stiffness, mass, damping and other nonlinear parts, unknown disturbances for example. An analytical solution is thus constructed and presented because the solution in the existing literature has not been available. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Simulation results of linear and nonlinear structures show that the proposed method is able to identify structural parameters and their changes due to damage and unknown excitations. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.

• Computers and Concrete
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• 제32권5호
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• pp.439-454
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• 2023

In this article, the surface stress effects on the buckling analysis of the annular sandwich plate is developed. The proposed plate is composed of two face layers made of carbon nanotubes (CNT) reinforced composite with assuming of fully bonded to functionally graded porous core. The generalized rule of the mixture is employed to predict the mechanical properties of the microcomposite sandwich plate. The derived potentials energy based on higher order shear deformation theory (HSDT) and modified couple stress theory (MCST) is solved by employing the Ritz method. An exact analytical solution is presented to calculate the critical buckling loads of the annular sandwich plate. The predicted results are validated by carrying out the comparison studies for the buckling analysis of annular plates with those obtained by other analytical and finite element methods. The effects of various parameters such as material length scale parameter, core thickness to total thickness ratio (hc/h), surface elastic constants based on surface stress effect, various boundary condition and porosity distributions, size of the internal pores (e0), Skempton coefficient and elastic foundation on the critical buckling load have been studied. The results can be served as benchmark data for future works and also in the design of materials science, injunction high-pressure micropipe connections, nanotechnology, and smart systems.

• 한국초전도ㆍ저온공학회논문지
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• 제25권3호
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• pp.22-27
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• 2023

Magnetic properties of MgB₂ superconducting powder were investigated. M(H), the magnetic field H dependence of magnetization M, was measured and analyzed using a PPMS instrument. The MgB₂ superconducting powder showed high critical current density J_c > ~ 10⁷ A/cm² and clean limit superconducting properties. The equilibrium magnetization M_eq properties of MgB₂ powders exhibiting various superconducting properties were studied. We find that the equilibrium magnetization M_eq(H) properties of MgB₂ powders showing conventional BCS properties deviate from the predictions of the standard local-London theory at temperatures below T = 19 K and are in good agreement with the generalized nonlocal-London theory. Nonlocal-London analysis was used to determine and analyze the nonlocal parameters. The temperature dependence of the London penetration depth values λ(T) was studied.

• Geomechanics and Engineering
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• 제37권2호
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• pp.167-178
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• 2024

The natural frequency shift under cyclic environmental loads is a key issue in the design of monopile-based offshore wind power turbines because of their dynamic sensitivity. Existing evidence reveals that the natural frequency shift of the turbine system in sand is related to the varying foundation stiffness, which is caused by soil deformation around the monopile under cyclic loads. Therefore, it is an urgent need to investigate the effect of soil deformation on the system frequency. In the present paper, three generalized geometric models that can describe soil deformation under two-way cyclic loads are proposed. On this basis, the cycling-induced changes in soil parameters around the monopile are quantified. A theoretical approach considering three-spring foundation stiffness is employed to calculate the natural frequency during cycling. Further, a parametric study is conducted to describe and evaluate the frequency shift characteristics of the system under different conditions of sand relative density, pile slenderness ratio and pile-soil relative stiffness. The results indicate that the frequency shift trends are mainly affected by the pile-soil relative stiffness. Following the relevant conclusions, a design optimization is proposed to avoid resonance of the monopile-based wind turbines during their service life.

• Computers and Concrete
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• 제33권2호
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• pp.137-145
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• 2024

The technique of experimentally determining concrete's compressive strength for a given mix design is time-consuming and difficult. The goal of the current work is to propose a best working predictive model based on different machine learning algorithms such as Gradient Boosting Machine (GBM), Stacked Ensemble (SE), Distributed Random Forest (DRF), Extremely Randomized Trees (XRT), Generalized Linear Model (GLM), and Deep Learning (DL) that can forecast the compressive strength of ternary geopolymer concrete mix without carrying out any experimental procedure. A geopolymer mix uses supplementary cementitious materials obtained as industrial by-products instead of cement. The input variables used for assessing the best machine learning algorithm not only include individual ingredient quantities, but molarity of the alkali activator and age of testing as well. Myriad statistical parameters used to measure the effectiveness of the models in forecasting the compressive strength of ternary geopolymer concrete mix, it has been found that GBM performs better than all other algorithms. A sensitivity analysis carried out towards the end of the study suggests that GBM model predicts results close to the experimental conditions with an accuracy between 95.6 % to 98.2 % for testing and training datasets.

• 품질경영학회지
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• 제52권1호
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• pp.135-148
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• 2024

Purpose: This study is to investigate the literature on accelerated tests based on the acceleration model and to provide a compilation of results on the parameters applied in the acceleration model and the test conditions. Methods: This research is conducts a literature review on accelerated tests using the acceleration model, with a focus on test targets, test conditions, and parameter values. The study is organizing the results of this literature review to facilitate their application in the design of reliability tests. Results: A literature review investigated a variety of test targets, test conditions, and parameter values. Conclusion: The results of the literature research conducted revealed various acceleration model parameter. Such literature research on accelerated tests can establish the foundation for reliability test design and contribute to future product development and quality improvement

• 대한원격탐사학회지
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• 제14권2호
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• pp.175-195
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• 1998

위성영상으로부터 자동화된 선구조 추출 알고리즘은 지형적 특징에 따라 다양한 방법으로 개발되어 왔다. 국내 지형은 주로 산악지형에 가깝지만 충적층 지대가 함께 발달되어 있으며 이와 같은 충적층은 종종 단층과 같은 주요 선구조를 이루고 있다. 그러나 기존의 방법들은 이와 같은 복합적인 지형에 대해 적용하는데 여러 가지 문제점들이 있다 이에 따라 본 연구에서는 이러한 지형적 특징을 나타내는 지역에 적용 가능한 새로운 알고리즘을 개발하였다. 위성영상으로부터 선구조 요소와 비 선구조 요소로 구분되는 이진영상을 생성하기 위해 DSTA(Dynamic Segment Tracing Algorithm)를 개발하였다. DSTA는 선구조 추출시 발생하는 태양방위각에 따른 선택적 증감효과를 제거하고 동적 소창문(dynamic sub window)의 사용에 의해 명암차가 낮은 지역에서의 잡음(noise)을 상당히 제거하였다. 또한, 충적층 처리 루틴은 충적층 지역에서 나타나는 잡음 대부분을 제거하여 효과적으로 선구조를 추출할 수 있었다. 이진영상으로부터 선구조의 양끝점을 결정하기 위해 일반 영상자료 처리에 이용되고 있는 Hierarchical Hough 변환 또는 Generalized Hough 변환을 지질학적 적용에 적합하도록 결합연산 과정을 결합한 ALEHHT(Automatic Lineament Extraction by Hierarchical Hough Transform) 및 ALEGHT (Automatic Lineament Extraction by Generalized Hough Transform) 알고리즘을 개발하였으며, 이를 이용하여 지질학적으로 이용 가능한 선구조를 구하였다. 본 연구에서 제안된 결합연산 과정은 두선 사이의 사이각($\delta$$\beta$), 수직거리(d$_{ij}$) 및 중점거리(dn)를 이용하였다. 개발된 알고리즘을 Landsat TM 자료에 적용하여 지질학적 선구조를 추출한 결과, 산악지역 및 충적층 지대에 발달한 선구조 모두 잘 추출되었으며 태양방위각에 평행한 서북서방향의 선구조 역시 잘 드러나고 있어 만족할 만한 결과를 얻을 수 있었다. 그러나 효과적으로 알고리즘을 사용하기 위해서는 적절한 입력변수의 사용이 필수적이며, 특히 ALEGHT의 입력변수 중 영상 정량화 간격(drop)에 의한 영향은 차후의 연구에서 수행, 보완되어야 할 것으로 사료된다.

• 한국전산구조공학회논문집
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• 제20권2호
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• pp.113-125
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• 2007

탄성지반 위의 비대칭 개/폐단면의 박벽보에 대한 탄성해석 및 안정성해석을 수행하기 위해 엄밀한 강성행렬을 계산하기 위한 개선된 수치해석 기법을 새롭게 제시한다. 본 연구에서 제시한 수치해석기법은 박벽보의 안정성 해석을 위한 엄밀한 강성행렬을 산정하는 선행된 수치해석기법의 결점을 보완하고 있다. 본 연구에서 제시한 기법은 일반화된 고유치 문제에 관한 해를 얻는 것으로서 일반화된 14개의 변위에 대한 고유치 문제를 평형방정식에 관한 1차의 연립상미분 방정식으로 변환함으로써 얻어진다. '0'의 고유치에 대응되는 변위파라미터에 대해 다항식이 가정되며 항등조건으로부터 '0'의 고유치의 수와 동일한 미결정된 파라미터를 포함하는 고유 모우드가 결정되고 이로부터 'non-zero'의 고유치와 다항식의 해를 조합함으로써 엄밀한 변위함수가 결정된다. 이후 부재력-변위의 관계를 이용하여 엄밀한 강성행렬을 산정하게 된다. 본 연구에서 개발한 수치해석 기법의 타당성을 검증하기 위해서 본 연구에서 제시한 이론에 의한 해를 제시하고 보요소 및 쉘요소을 사용한 유한요소해와 비교 검토한다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권2호
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• pp.997-1001
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• 2013

Background: Lymphangiogenesis, assessed as lymphovascular density (LVD), is the initial step of generalized tumor lymphovascular invasion (LVI). It also involves VEGF-C as the most important protein family. Lymphangiogenesis among breast cancer cases correlations with several clinicopathological factors are important to determine prognosis and treatment strategies, but results have been controversial and require clarification. Aim: To define correlations between VEGF-C expression, LVD and LVI with several clinicopathological parameters from Indonesian breast cancer patients. Materials and Methods: Using a cross-sectional study, a total of 48 paraffin-embedded tissues of breast cancer from Dr. Sardjito General Hospital Indonesia were assessed for VEGF-C expression, LVD and LVI by immunohistochemistry. Correlations of these markers with clinicopathological parameters like patient age, tumor size, lymph node status, grade, ER/PR and Her-2 status, cell proliferation and p-53 expression were investigated by linear analysis. Correlations of VEGF-C expression and LVI with several clinicopathological parameters were analyzed with Coefficient Contingency Chi-Square test. Results: The mean of patients age was 53.0 year, pre and post-menopausal patients accounting for 56.3% and 43.8%, respectively. Some 10.4% were well, 41.7% moderate and 47.9% poorly differentiated. ER positivity was evident in 50% while PR and Her-2 positivity was found in 31.3% and 33.3%, respectively. Breast cancer cells with over-expression of p-53 was 64.6% and with high cell proliferation was 56.3%. Lymph node metastasis was noted in 63.5%, and LVI in 72.9%. Significant correlations were found between LVD and tumor size (p:0.037), grade (p:0.000), lymphnode status (p:0.036), LVI (p:0.003), as well as with p-53 and cell proliferation. There were also significant correlation of VEGF-C (p:0.011) and LVI (p:0.001) with tumor grade. Only ER status was found to have a correlation with tumor size (p:0.027). Conclusions: This study suggested that in Indonesian breast cancer patients, lymphangiogenesis is correlated with tumor size, grade, lymph node status and tumor lymphovascular invasion, the latter also being related with p-53 over expression and high cell proliferation.

• 한국농공학회논문집
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• 제57권5호
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• pp.139-152
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• 2015

Along with climate change, it is reported that the scale and frequency of extreme climate events show unstable tendency of increase. Thus, to comprehend the change characteristics of precipitation data, it is needed to consider non-stationary. The main objectives of this study were to estimate future design floods for Wonpyeongcheon watershed based on RCP (Representative Concentration Pathways) scenario. Wonpyeongcheon located in the Keum River watershed was selected as the study area. Historical precipitation data of the past 35 years (1976~2010) were collected from the Jeonju meteorological station. Future precipitation data based on RCP4.5 were also obtained for the period of 2011~2100. Systematic bias between observed and simulated data were corrected using the quantile mapping (QM) method. The parameters for the bias-correction were estimated by non-parametric method. A non-stationary frequency analysis was conducted with moving average method which derives change characteristics of generalized extreme value (GEV) distribution parameters. Design floods for different durations and frequencies were estimated using rational formula. As the result, the GEV parameters (location and scale) showed an upward tendency indicating the increase of quantity and fluctuation of an extreme precipitation in the future. The probable rainfall and design flood based on non-stationarity showed higher values than those of stationarity assumption by 1.2%~54.9% and 3.6%~54.9%, respectively, thus empathizing the necessity of non-stationary frequency analysis. The study findings are expected to be used as a basis to analyze the impacts of climate change and to reconsider the future design criteria of Wonpyeongcheon watershed.