• Title/Summary/Keyword: structural evaluation

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Analysis of Failure Modes among Beams, Columns, and Joints for School Buildings Constructed in the 1980s (1980년대 학교교사에 대한 보, 기둥 및 접합부 사이의 파괴모드 분석)

  • Choi, Myeong-Ho;Ha, Se-Yeon;Lee, Chang-Hwan
    • Journal of Korean Association for Spatial Structures
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    • v.21 no.3
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    • pp.51-60
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    • 2021
  • As earthquakes continue to occur in Korea in recent years, seismic evaluation and retrofit of existing school buildings have been carried out. Many domestic school buildings were built using or referring to standard drawings. Therefore, if the overall structural characteristics of a school building can be known first based on standard drawings, it can be provided as valuable data for detailed seismic evaluation. For this reason, this study investigated the weak structural components and failure modes by comparing the strength of beams, columns, and joints constituting standard school buildings constructed in the 1980s. The evaluation was performed for different types of standard drawings and different material strengths. The results showed that the joint was mainly the weakest due to the eccentricity, and the failure modes were partially changed depending on the material strength.

Quantitative evaluation of through-thickness rectangular notch in metal plates based on lamb waves

  • Zhao, Na;Wu, Bin;Liu, Xiucheng;Ding, Keqin;Hu, Yanan;Bayat, Mahmoud
    • Structural Engineering and Mechanics
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    • v.71 no.6
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    • pp.751-761
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    • 2019
  • Lamb wave technology is a promising technology in the field of structural health monitoring and can be applied in the detection and monitoring of defects in plate structures. Based on the reconstruction algorithm for the probabilistic inspection of damage (RAPID), a Lamb-based detection and evaluation method of through-thickness rectangular notches in metal plates was proposed in this study. The influences of through-thickness rectangular notch length and the angle between sensing path and notch length direction on signals were further explored through simulations and experiments. Then a damage index calculation method which focuses on both phase and amplitude difference between detected signals and baseline signals was proposed. Based on the damage index difference between two vertically crossed sensing paths which pass through the notch in a sensor network, the notch direction identification method was proposed. In addition, the notch length was determined based on the damage index distribution along sensing paths. The experimental results showed that the image reconstructed with the proposed method could reflect the information for the evaluation of notches.

Evaluation of Crack Estimation Equation for the Reinforced Concrete Tension Member (철근콘크리트 인장부재의 균열 산정식 평가)

  • Park, Chan-Wook;Noh, Sam-Young;Shin, Eun-Mi
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.13 no.3 s.55
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    • pp.197-208
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    • 2009
  • The purpose of this research is the evaluation of the estimation equation of "CEP-FIP Model Code 1990(1991)", recently included in the domestic "Concrete Structure Design Code(2007)" in consideration of the concrete strength. As evaluation tools, crack element model applied a detailed bond-slip model as well as crack width obtained from experimental results by earlier researches. The crack element model is verified through the comparison with experimental results. The important variables in the estimation equation for the crack width in CEP-FIP Model Code 1990 are the tension stiffening effect and mean bond stress proposed in the paper to be improved in consideration of the concrete strength.

Evaluation of Bearing Capacity on PHC Auger-Drilled Piles Using Artificial Neural Network (인공신경망을 이용한 PHC 매입말뚝의 지지력 평가)

  • Lee, Song;Jang, Joo-Won
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.10 no.6
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    • pp.213-223
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    • 2006
  • In this study, artificial neural network is applied to the evaluation of bearing capacity of the PHC auger-drilled piles at sites of domestic decomposed granite soils. For the verification of applicability of error back propagation neural network, a total of 168 data of in-situ test results for PHC auger-drilled plies are used. The results show that the estimation of error back propagation neural network provide a good matching with pile test results by training and these results show the confidence of utilizing the neural networks for evaluation of the bearing capacity of piles.