1,721,046 research outputs found

    Capacità residua in edifici in c.a. danneggiati dal sisma

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    Il comportamento sismico di edifici danneggiati, e il grado di sicurezza degli stessi, può essere espresso in funzione di una grandezza che rappresenta la capacità sismica dell’edificio “modificata” a seguito del danno, la cosiddetta Capacità Residua. Questo lavoro affronta la problematica della valutazione della capacità residua effettuando dapprima una disamina dei diversi approcci utilizzati in ambito internazionale, finalizzati alla valutazione dell’agibilità degli edifici danneggiati nel post-sisma, e successivamente svolgendo un’applicazione con un caso studio. In particolare, seguendo un approccio improntato sulla valutazione della vulnerabilità strutturale con l’ausilio di analisi statiche non lineari, si misura la capacità residua per edifici in c.a. a partire da curve di pushover valutate per diversi gradi di danno iniziali e tenendo conto di eventuali spostamenti o rotazioni d’interpiano permanenti (drift residui) per la struttura. Il comportamento non lineare dell’edificio danneggiato viene simulato modificando opportunamente, con un abbattimento di rigidezza, resistenza e con l’eventuale introduzione di drift residui, le cerniere plastiche degli elementi che hanno subito il danno. L’applicazione mostra che l’approccio utilizzato consente una valutazione consistente della variazione del grado di sicurezza di edifici danneggiati e rappresenta un metodo promettente per lo studio della vulnerabilità tempo-variante di edifici esistenti

    Static vulnerability of existing R.C. buildings in Italy: a case study

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    The investigation on possible causes of failures related to documented collapses is a complicated issue, primarily due to the scarcity and inadequacy of information available. Although several studies have tried to understand which are the inherent structural deficiencies or circumstances associated to failure of the main structural elements in a reinforced concrete frame, to the authors knowledge a uniform approach for the evaluation building static vulnerability, does not exist yet. This paper investigates, by means of a detailed case study, the potential failure mechanisms of an existing reinforced concrete building. The linear elastic analysis for the three-dimensional building model gives an insight on the working conditions of the structural elements, demonstrating the relevance of a number of structural faults that could sensibly lower the structure\'s safety margin. Next, the building\'s bearing capacity is studied by means of parametric nonlinear analysis performed at the element\'s level. It is seen that, depending on material properties, concrete strength and steel yield stress, the failure hierarchy could be dominated by either brittle or ductile mechanisms

    Probabilistic Steel Stress-Crack Width Relationship in R.C. Frames with Smooth Rebars

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    Structural assessment of existing reinforced concrete (R.C.) constructions results from a combination of experimental (determination of material properties and rebar detailing) and numerical evaluations (static and/or dynamic nonlinear analyses under design loads). In this framework, estimation of reinforcement stress levels can give useful information about the actual response of the structure under applied loads, but generally requires invasive and expensive operations. This paper presents an insight on the assessment of relationships between crack width and reinforcement stress in the critical regions of existing concrete buildings, such as column base or beam–column joints, reinforced with smooth rebars. The proposed method is based on a refined numerical procedure that combines advanced modelling of the steel rebar and computation of relationships between observed/monitored crack patterns and uncertainties affecting relevant structural parameters. The main numerical aspects of the deterministic approach to crack width estimation, validated against specific experimental results, are discussed. In addition, a regression analysis is used to derive probabilistic estimation of the reinforcing steel stress. In summary, a promising example of integration of numerical and experimental knowledge is presented, enabling monitoring systems to cover not only global features of the constructions, but also local relevant parameters
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