Reliability of in-situ diagnosis in external wall renders

In the field of building inspection and diagnosis, uncertainty is common and surveyors are aware of it, although it is not easily measured. This research proposes a model to quantify uncertainty based on the inspection of rendered façades. A Bayesian network is developed, considering three levels of variables: characteristics of the building, façade and exposure conditions; causes of defects; and defects. To compute conditional probabilities, the results of an inspection campaign from the literature are used. Then, the proposed model is validated and verified using inspection results from another sample, the combination of a strength-of-influence diagram and sensitivity analysis and the application of the model to a case study. Results show that the probabilities computed by the model are a reasonable representation of the hesitancy in decision making during the diagnosis process based only on visual observation. For instance, design and execution errors show lower probabilities due to not being verifiable a posteriori without detailed documentation. The proposed model may be extended and replicated for other building materials in the future, as it may be a useful tool to improve the perception of uncertainty in a key stage of building maintenance or rehabilitation.

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“…The decision about whether eventual results of in situ diagnosis methods or laboratory tests are conclusive and enough [4] d.…”

Section: Introduction 1background Problem and Purposementioning

confidence: 99%

Uncertainty in Building Inspection and Diagnosis: A Probabilistic Model Quantification

et al. 2021

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Brazilian Palace of Congress: a Study of the Marble Cladding System State of Conservation

Lima

Zanoni

2021

J Build Rehabil

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Failure patterns associated with facade zones and anomalies in the initiation and propagation of degradation

Bauer

Souza

2022

Construction and Building Materials

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Reliability of in-situ diagnosis in external wall renders

Abstract: h i g h l i g h t sReliability indicators are proposed based on experimental data. Reliability indicators application helps the evaluation of in-service performance of renders. An overall reliability indicator has been proposed.

Cited by 7 publications

References 21 publications

Uncertainty in Building Inspection and Diagnosis: A Probabilistic Model Quantification

Uncertainty in Building Inspection and Diagnosis: A Probabilistic Model Quantification

Brazilian Palace of Congress: a Study of the Marble Cladding System State of Conservation

Failure patterns associated with facade zones and anomalies in the initiation and propagation of degradation

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