Structural time-dependent damage analysis relays on efficient simulation models and deterioration laws. When a probabilistic experiential methodology is applied to existing constructions, the simulation is going to describe the damage state already achieved as well as the further damage evolution. In order to process a reliable damage law, it is necessary to define the deterioration condition in the present and predict it in the future. The parameter law characterisation needs to be identified according to experiential data. This paper presents the parameter characterisation process in a damage law according to non-invasive experiential data collection. The case here discussed is applied to the timber rooftop of a rural structure. Since the structural system is assembled in different periods, which means the life span is multifarious, and the damage degree is different, the calibration procedure reliability and the law versatility can be proved.
Structural time-dependent damage analysis relying on efficient simulation models and deterioration laws.
E. Garavaglia;
2021-01-01
Abstract
Structural time-dependent damage analysis relays on efficient simulation models and deterioration laws. When a probabilistic experiential methodology is applied to existing constructions, the simulation is going to describe the damage state already achieved as well as the further damage evolution. In order to process a reliable damage law, it is necessary to define the deterioration condition in the present and predict it in the future. The parameter law characterisation needs to be identified according to experiential data. This paper presents the parameter characterisation process in a damage law according to non-invasive experiential data collection. The case here discussed is applied to the timber rooftop of a rural structure. Since the structural system is assembled in different periods, which means the life span is multifarious, and the damage degree is different, the calibration procedure reliability and the law versatility can be proved.File | Dimensione | Formato | |
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