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Titlebook: SYNER-G: Systemic Seismic Vulnerability and Risk Assessment of Complex Urban, Utility, Lifeline Syst; Methodology and Appl K. Pitilakis,P.

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楼主: 迅速
发表于 2025-3-23 12:10:19 | 显示全部楼层
Application to a Network of Hospitals at Regional Scale,, connecting towns to hospitals, are evaluated and the interaction among them accounted for. Victims move to hospitals until their request for a bed or for a surgical treatment is satisfied, if possible. A novel “dynamic” model for hospitalization is developed and implemented. The road network is mo
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Application in the Harbor of Thessaloniki,s port, a major export and transport harbor of Greece and the European Union’s closest port to the countries of Southeast Europe. Following the methodological framework for the systemic analysis developed in SYNER-G, waterfront structures, cargo handling equipment, power supply system, roadway syste
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Book 2014t of physical as well as socio-economic seismic vulnerability and risk at urban and regional level. The results of SYNER-G are presented in two books both published by Springer, the present and a second one, entitled “SYNER-G: Typology Definition and Fragility Functions for Physical Elements at Seis
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Application to Selected Transportation and Electric Networks in Italy,) analysis are then reported. Similarly, further aspects of the power network model implemented within SYNER-G are given before introducing and discussing the Sicily case study. The analysis of the EPN is carried out in terms of power flows.
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1573-6059 ions for each network and infrastructure.Case studies in urb.SYNER-G, a multidisciplinary effort funded by the European Union, allowed the development of an innovative methodological framework for the assessment of physical as well as socio-economic seismic vulnerability and risk at urban and region
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A Computational Framework for Systemic Seismic Risk Analysis of Civil Infrastructural Systems,nion book), functional model of each system and their interactions (Chap. .), and socio-economic impact evaluation (Chap. .), this chapter focuses mainly on how the overall model has been developed according to the object-oriented paradigm, and on the way uncertainty in all factors is modelled.
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Application to a Network of Hospitals at Regional Scale,le to provide medical care, the demand of medical care on hospitals, the hospitalization travel time, are among the useful results of the analysis. The methodology is exemplified with reference to a case-study region, with population of 877,000, 20 towns, 5 hospitals and 32 bridges.
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