• 제목/요약/키워드: structural vulnerability monitoring

검색결과 16건 처리시간 0.021초

Vulnerability and seismic improvement of architectural heritage: the case of Palazzo Murena

  • Liberotti, Riccardo;Cluni, Federico;Gusella, Vittorio
    • Earthquakes and Structures
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    • 제18권3호
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    • pp.321-335
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    • 2020
  • The aim of the present contribution is to consider and underline the essential interactions among the historical knowledge, the seismic vulnerability assessment, the investigation experimental tools, the preservation of the architectural quality and the strengthening design in regard to architectural heritage conservation. These topics are argued in relation to Palazzo Murena in Perugia, designed in the eighteenth century by the famous Architect Luigi Vanvitelli, and currently headquarters of the city's University. Based on the surveys and the visual inspections, a preliminary a priori global analysis has been performed by means of the FME method. The obtained results permitted to plan an experimental tests campaign inclusive of structural health monitoring. The new achieved "knowledge" of the building allowed to refine the seismic safety assessment. In particular it was highlighted that the "mezzanine floor" can be a vulnerable element of the building with the collapse of its masonry walls. Preserving the architectural characteristics, a local reinforcement intervention is proposed for the above-mentioned level; this consists of the application of plaster with FRCM, assuring an adequate strength, without burden the masonry structure with additional weight, and therefore a decreasing of the seismic vulnerability. The necessity to consider, in this ongoing research, other local mechanisms is highlighted in the unfolding of the last part of work.

The development of the seismic fragility curves of existing bridges in Indonesia (Case study: DKI Jakarta)

  • Veby Citra Simanjuntak;Iswandi Imran;Muslinang Moestopo;Herlien D. Setio
    • Structural Monitoring and Maintenance
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    • 제10권1호
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    • pp.87-105
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    • 2023
  • Seismic regulations have been updated from time to time to accommodate an increase in seismic hazards. Comparison of seismic fragility of the existing bridges in Indonesia from different historical periods since the era before 1990 will be the basis for seismic assessment of the bridge stock in Indonesia, most of which are located in earthquake-prone areas, especially those built many years ago with outdated regulations. In this study, seismic fragility curves were developed using incremental non-linear time history analysis and more holistically according to the actual strength of concrete and steel material in Indonesia to determine the uncertainty factor of structural capacity, βc. From the research that has been carried out, based on the current seismic load in SNI 2833:2016/Seismic Map 2017 (7% probability of exceedance in 75 years), the performance level of the bridge in the era before SNI 2833:2016 was Operational-Life Safety whereas the performance level of the bridge designed with SNI 2833:2016 was Elastic - Operational. The potential for more severe damage occurs in greater earthquake intensity. Collapse condition occurs at As = FPGA x PGA value of bridge Era I = 0.93 g; Era II = 1.03 g; Era III = 1.22 g; Era IV = 1.54 g. Furthermore, the fragility analysis was also developed with geometric variations in the same bridge class to see the effect of these variations on the fragility, which is the basis for making bridge risk maps in Indonesia.

Towards high-accuracy data modelling, uncertainty quantification and correlation analysis for SHM measurements during typhoon events using an improved most likely heteroscedastic Gaussian process

  • Qi-Ang Wang;Hao-Bo Wang;Zhan-Guo Ma;Yi-Qing Ni;Zhi-Jun Liu;Jian Jiang;Rui Sun;Hao-Wei Zhu
    • Smart Structures and Systems
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    • 제32권4호
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    • pp.267-279
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    • 2023
  • Data modelling and interpretation for structural health monitoring (SHM) field data are critical for evaluating structural performance and quantifying the vulnerability of infrastructure systems. In order to improve the data modelling accuracy, and extend the application range from data regression analysis to out-of-sample forecasting analysis, an improved most likely heteroscedastic Gaussian process (iMLHGP) methodology is proposed in this study by the incorporation of the outof-sample forecasting algorithm. The proposed iMLHGP method overcomes this limitation of constant variance of Gaussian process (GP), and can be used for estimating non-stationary typhoon-induced response statistics with high volatility. The first attempt at performing data regression and forecasting analysis on structural responses using the proposed iMLHGP method has been presented by applying it to real-world filed SHM data from an instrumented cable-stay bridge during typhoon events. Uncertainty quantification and correlation analysis were also carried out to investigate the influence of typhoons on bridge strain data. Results show that the iMLHGP method has high accuracy in both regression and out-of-sample forecasting. The iMLHGP framework takes both data heteroscedasticity and accurate analytical processing of noise variance (replace with a point estimation on the most likely value) into account to avoid the intensive computational effort. According to uncertainty quantification and correlation analysis results, the uncertainties of strain measurements are affected by both traffic and wind speed. The overall change of bridge strain is affected by temperature, and the local fluctuation is greatly affected by wind speed in typhoon conditions.

Remote monitoring of urban and infrastructural areas

  • Bortoluzzi, Daniele;Casciati, Fabio;Elia, Lorenzo;Faravelli, Lucia
    • Earthquakes and Structures
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    • 제7권4호
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    • pp.449-462
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    • 2014
  • Seismically induced structural damage, as well as any damage caused by a natural catastrophic event, covers a wide area. This suggests to supervise the event consequences by vision tools. This paper reports the evolution from the results obtained by the project RADATT (RApid Damage Assessment Telematics Tool) funded by the European Commission within FP4. The aim was to supply a rapid and reliable damage detector/estimator for an area where a catastrophic event had occurred. Here, a general open-source methodology for the detection and the estimation of the damage caused by natural catastrophes is developed. The suitable available hazard and vulnerability data and satellite pictures covering the area of interest represent the required bits of information for updated telematics tools able to manage it. As a result the global damage is detected by the simple use of open source software. A case-study to a highly dense agglomerate of buildings is discussed in order to provide the main details of the proposed methodology.

생태계 네트워크 분석을 이용한 생물 군집의 구조와 기능에 대한 연구: 청계천을 사례로 (Exploring Community Structure and Function with Network Analysis: a Case Study of Cheonggye Stream)

  • 이민영;김용은;조기종
    • 환경생물
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    • 제36권3호
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    • pp.370-376
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    • 2018
  • It is important to consider interaction between species in understanding structure and function of the biological community. Current ecological issues such as climate change and habitat loss emphasize the significance of the concept of species interaction in that varying species' interaction across environmental gradients may lead to altered ecological function and services. However, most community studies have focused on species diversity through analysis of quantitative indices based on species composition and abundance data without considering species interactions in the community. 'Ecological network analysis' based on network theory enables exploration of structural and functional properties of ecosystems composed of various species and their interactions. In this paper, network analysis of Cheonggye stream as a case study was presented to promote uses of network analysis on ecological studies in Korea. Cheonggye stream has a simple biological structure with link density of 1.48, connectance 0.07, generality 4.43, and vulnerability 1.94. The ecological network analysis can be used to provide ecological interpretations of domestic long-term monitoring data and can contribute to conserving and managing species diversity in ecosystems.

통합보안관리 에이전트를 확장한 웹 어플리케이션 공격 탐지 연구 (A Study of Web Application Attack Detection extended ESM Agent)

  • 김성락
    • 한국컴퓨터정보학회논문지
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    • 제12권1호
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    • pp.161-168
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    • 2007
  • 웹에 대한 공격은 웹 서버 자체의 취약점 보다 웹 어플리케이션의 구조, 논리, 코딩상의 오류를 이용한다. OWASP에서 웹 어플리케이션 취약점을 10가지로 분류하여 발표한 자료에 의하면 웹 해킹의 위험성과 피해가 심각함을 잘 알 수 있다. 이에 따라 웹 해킹에 대한 탐지능력 및 대응이 절실히 요구된다. 이러한 웹 공격을 방어하기 위해 패턴 매칭을 이용한 필터링을 수행하거나 코드를 수정하는 방법이 있을 수 있지만 새로운 공격에 대해서는 탐지 및 방어가 어렵다. 또한 침입탐지시스템이나 웹 방화벽과 같은 단위보안 제품을 도입할 수 있지만 운영과 지속적인 유지를 위해서는 많은 비용과 노력이 요구되며 많은 탐지의 오류를 발생한다. 본 연구에서는 웹 어플리케이션의 구조와 파라미터 입력 값에 대한 타입, 길이와 같은 특성 값들을 추출하는 프로파일링 기법을 이용하여 사전에 웹 어플리케이션 구조 데이터베이스를 구축함으로서 사용자 입력 값 검증의 부재에 대한 해결과 비정상적인 요청에 대해 데이터베이스의 프로파일 식별자를 이용하여 검증하고 공격 탐지가 가능하다. 통합보안관리시스템은 현재 대부분 조직에서 도입하여 운영하고 있으며 일반화 되어있다. 그래서 통합보안관리시스템의 보안 감사 로그 수집 에이전트에 웹 어플리케이션 공격 탐지 기능을 추가한 모델을 제시함으로서 추가 단위보안제품을 도입하지 않고서도 웹 어플리케이션 공격을 탐지할 수 있도록 하였다.

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