Titlebook: Hygrothermal Behaviour and Building Pathologies; J.M.P.Q. Delgado Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusi

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Model to Estimate Concrete Carbonation Depth and Service Life Prediction,t to CO. action, with easily obtainable input data. The input variables are divided into three groups: concrete properties (concrete compressive strength at 28 days, type of cement used, content and type mineral admixture); exposure conditions (a structure is indoors or outdoors, protected or not fr

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Artificial Intelligence Applied in the Concrete Durability Study,etwork (ANN). The ANN has similar characteristics to biological neural networks, efficiently recognizing patterns and behaviors, suited to provide an accurate tool to map and understand the concrete degradation. This chapter presents the positive aspects of artificial neural network to model differe

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,Pre-diagnosis Protocol for Large Residential Building Stock. The Case of Barcelona’s Vulnerable Areof a pre-diagnosis protocol applied to the most socially vulnerable neighborhoods in Barcelona. The protocol was specifically designed for this purpose and proposes a methodology in several elimination phases, in which attention is gradually focused on buildings that may be damaged and could lead to

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Book 2021, and highlights the latest developments in building physics, hygrothermal behaviour, durability and numerical models applied to building materials analysis. Discussing the state of the art in the field, and covering topics relevant to variety of engineering disciplines, such as civil, materials and