• Title/Summary/Keyword: Risk of damage to building

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Deep Excavation-induced Building and Utility Damage Assessment (도심지 깊은굴착시 주변 건물 및 매설관 손상평가)

  • 유충식
    • Proceedings of the Korean Geotechical Society Conference
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    • 한국지반공학회 2002년도 가을 학술발표회 논문집
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    • pp.85-95
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    • 2002
  • A substantial portion of the cost of deep excavations in urban environments is devoted to prevent ground movements and their effects on adjacent buildings and utilites. Prediction of ground movements and assessment of the risk of damage to adjacent structures has become an essential part of the planning, design, and construction of a deep excavation project in the urban environments. This paper presents damage assessment techniques for buildings and utilities adjacent deep excavation, which can be readily used in practice.

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A Case Study of Building Damage Risk Assessment Due to the Strutted Excavation: Design Aspects (지보굴착에 따르는 인접건물의 손상위험도 평가사례: 설계단계)

  • Lee Sun-Jae;Song Tae-Won;Lee Youn-Sang;Song Young-Han;Kim Jae-Kwon
    • Journal of the Korean Geotechnical Society
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    • 제21권10호
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    • pp.99-112
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    • 2005
  • The ground excavation in the urban area induces in general ground movement and subsequent damage on the adjacent building structures. So the essentials in the designing stage are the prediction of ground movement induced by the ground excavation and the damage risk assessment of buildings adjacent to the excavation. A propsed prediction method of the ground movement induced by the strutted excavation has been studied with due consideration of the existing ground movement prediction methods. A building damage risk assessment method based on the angular distortion and the horizontal strain derived from the green-field ground movement is also proposed. These methods have been applied successfully in the on-going deep excavation project in Singapore.

Risk Prediction and Analysis of Building Fires -Based on Property Damage and Occurrence of Fires- (건물별 화재 위험도 예측 및 분석: 재산 피해액과 화재 발생 여부를 바탕으로)

  • Lee, Ina;Oh, Hyung-Rok;Lee, Zoonky
    • The Journal of Bigdata
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    • 제6권1호
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    • pp.133-144
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    • 2021
  • This paper derives the fire risk of buildings in Seoul through the prediction of property damage and the occurrence of fires. This study differs from prior research in that it utilizes variables that include not only a building's characteristics but also its affiliated administrative area as well as the accessibility of nearby fire-fighting facilities. We use Ensemble Voting techniques to merge different machine learning algorithms to predict property damage and fire occurrence, and to extract feature importance to produce fire risk. Fire risk prediction was made on 300 buildings in Seoul utilizing the established model, and it has been derived that with buildings at Level 1 for fire risks, there were a high number of households occupying the building, and the buildings had many factors that could contribute to increasing the size of the fire, including the lack of nearby fire-fighting facilities as well as the far location of the 119 Safety Center. On the other hand, in the case of Level 5 buildings, the number of buildings and businesses is large, but the 119 Safety Center in charge are located closest to the building, which can properly respond to fire.

A Foundational Study on Deep Learning for Assessing Building Damage Due to Natural Disasters (자연재해로 인한 건물의 피해 평가를 위한 딥러닝 기초 연구)

  • Kim, Ji-Myong;Yun, Gyeong-Cheol
    • Journal of the Korea Institute of Building Construction
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    • 제24권3호
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    • pp.363-370
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    • 2024
  • The escalating frequency and intensity of natural disasters and extreme weather events due to climate change have caused increasingly severe damage to societal infrastructure and buildings. Government agencies and private companies are actively working to evaluate these damages, but existing technologies and methodologies often fall short of meeting the practical demands for accurate assessment and prediction. This study proposes a novel approach to assess building damage resulting from natural disasters, focusing on typhoons-one of the most devastating natural hazards experienced in the country. The methodology leverages deep learning algorithms to evaluate typhoon-related damage, providing a comprehensive framework for assessment. The framework and outcomes of this research can provide foundational data for the evaluation of natural disaster-induced damage over the entire life cycle of buildings and can be applied in various other industries and research areas for assessing risk of damage.

A Framework for Quantifying the Damage to Residential Facilities Caused by Typhoon Changes (태풍 변화로 인한 주거시설 피해 정량화 프레임 워크 제안)

  • Kim, Ji-Myong;Son, Seunghyun
    • Journal of the Korea Institute of Building Construction
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    • 제23권6호
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    • pp.797-807
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    • 2023
  • This research aims to investigate the alterations in typhoon patterns attributable to climate change and to quantitatively assess the risk of damage to residential structures. The increasing prevalence of climate anomalies and severe weather events, a consequence of global warming, is causing escalating damage globally. Notably, numerous countries are facing substantial devastation due to shifts in typhoon trajectories. Despite this, there exists a gap in empirical research quantifying the impact of these changes on building integrity and the associated risk alterations driven by climate change. In addressing this gap, our study analyzes the frequency and intensity of typhoons impacting Korea, examining the evolution of these meteorological phenomena. Furthermore, we employ the Korean Typhoon Vulnerability Function for residential facilities to quantify the altered risk posed by these changing patterns. The outcomes of this study provide the private sector with essential data to formulate diverse scenarios and business strategies in response to the escalating risks of typhoon-related damage. Additionally, it equips governmental bodies with the necessary insights to develop comprehensive risk management strategies to mitigate the effects of future typhoons.

Terror Risk Analysis of High-rise Building by Rapid Visual Screening (Rapid Visual Screening을 통한 국내 고층건물의 테러 위험도 분석)

  • Ji, Jung-Hwan;Yoon, Sung-Won
    • Journal of Korean Association for Spatial Structures
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    • 제11권2호
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    • pp.55-62
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    • 2011
  • While frequency of occurrence of terrorism has recently increased, it intensively occurs in buildings that many unspecified persons gather. Terrorism which occurs in high-rise buildings causes a lot of damage. It is necessary for design approach to reduce terrorism damage from explosive of buildings. Terror risk analysis of domestic tall and high-rise buildings is evaluated by fema 455, Rapid Visual Screening which is found to be comparatively simple and practicable. Common risk factors of terrorism in domestic buildings were investigated. The results of terror risk assessment of all buildings are found to be a medium risk score, Main reason is that domestic tall or high-rise buildings have similar external-environmental factors.

Probabilistic earthquake risk consideration of existing precast industrial buildings through loss curves

  • Ali Yesilyurt;Seyhan O. Akcan;Oguzhan Cetindemir;A. Can Zulfikar
    • Geomechanics and Engineering
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    • 제37권6호
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    • pp.565-576
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    • 2024
  • In this study, the earthquake risk assessment of single-story RC precast buildings in Turkey was carried out using loss curves. In this regard, Kocaeli, a seismically active city in the Marmara region, and this building class, which is preferred intensively, were considered. Quality and period parameters were defined based on structural and geometric properties. Depending on these parameters, nine main sub-classes were defined to represent the building stock in the region. First, considering the mean fragility curves and four different central damage ratio models, vulnerability curves for each sub-class were computed as a function of spectral acceleration. Then, probabilistic seismic hazard analyses were performed for stiff and soft soil conditions for different earthquake probabilities of exceedance in 50 years. In the last step, 90 loss curves were derived based on vulnerability and hazard results. Within the scope of the study, the comparative parametric evaluations for three different earthquake intensity levels showed that the structural damage ratio values for nine sub-classes changed significantly. In addition, the quality parameter was found to be more effective on a structure's damage state than the period parameter. It is evident that since loss curves allow direct loss ratio calculation for any hazard level without needing seismic hazard and damage analysis, they are considered essential tools in rapid earthquake risk estimation and mitigation initiatives.

A study on prediction method for flood risk using LENS and flood risk matrix (국지 앙상블자료와 홍수위험매트릭스를 이용한 홍수위험도 예측 방법 연구)

  • Choi, Cheonkyu;Kim, Kyungtak;Choi, Yunseok
    • Journal of Korea Water Resources Association
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    • 제55권9호
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    • pp.657-668
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    • 2022
  • With the occurrence of localized heavy rain while river flow has increased, both flow and rainfall cause riverside flood damages. As the degree of damage varies according to the level of social and economic impact, it is required to secure sufficient forecast lead time for flood response in areas with high population and asset density. In this study, the author established a flood risk matrix using ensemble rainfall runoff modeling and evaluated its applicability in order to increase the damage reduction effect by securing the time required for flood response. The flood risk matrix constructs the flood damage impact level (X-axis) using flood damage data and predicts the likelihood of flood occurrence (Y-axis) according to the result of ensemble rainfall runoff modeling using LENS rainfall data and as well as probabilistic forecasting. Therefore, the author introduced a method for determining the impact level of flood damage using historical flood damage data and quantitative flood damage assessment methods. It was compared with the existing flood warning data and the damage situation at the flood warning points in the Taehwa River Basin and the Hyeongsan River Basin in the Nakdong River Region. As a result, the analysis showed that it was possible to predict the time and degree of flood risk from up to three days in advance. Hence, it will be helpful for damage reduction activities by securing the lead time for flood response.

Study on the Improvement Method of Flood Risk Assessment by Flood Damage Area (홍수피해예상지역을 고려한 홍수위험도 산정기법 개선방안 연구)

  • Hong, Seungjin;Joo, Hongjun;Kim, Kyungtak
    • Journal of Wetlands Research
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    • 제19권4호
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    • pp.459-469
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    • 2017
  • The aim of this study is to improve Potential Flood Damage(PFD) that a flood risk assessment technique used in the National Water Resource Plan comprehensive plan for water resources, which is a top-level plan related to domestic water resources and Flood Risk Indices. Both methods are used to evaluate flood control risks. However, there is a problem of reliability because the problem of data utilization and the damage that occurred in a specific area are applied as an average concept. Therefore, this study improved the method for analysis by components and the flood inundation area was limited to flood damage area. Also, the improvement of the method and the application of the recently provided GIS data to the flood damage prediction area were proposed to improve the usability of the existing method. The existing analysis method and the improved method were applied to the test watershed by each case.

A Study on Types of Disasters Affecting City Safety (도시안전에 영향을 미치는 재난유형에 관한 연구)

  • Choi, Yun-Cheul
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • 제35권6호
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    • pp.93-100
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    • 2019
  • Modern society is transforming into an extreme climate environment. This is fatal to humans and ecosystems and is expected to cause large-scale damage. As this spokesman, natural disasters are increasing as this global average temperature rises. Social and economic damage by this tendency is also increasing. In addition, the frequency and scale of social disasters are increasing. Damage to the living area due to the damage of the infrastructure due to the increased reliance on infrastructure has been increasingly enlarged. In this research, various disasters such as natural disasters and social disasters analyze the impact on urban safety. A local autonomous entity K Priority Management Establish a kind of disaster, prepare crisis management manual, and use it as a basic material of education / training.