The Relative Influence of Environmental Factors Compared to Age on Building Element Degradation
Publication: Journal of Performance of Constructed Facilities
Volume 37, Issue 6
Abstract
Age has often been the only factor considered in predictive models of degradation. This study, however, assesses the influence on degradation of coastal exposure for concrete beams, level of utilization for rendered cement floors, and rainfall for timber windows. First, the difference between random data and data categorized on the basis of high or low levels of environmental factors was explored to establish whether they had a perceptible influence on degradation. Next, five types of models were explored for fitting the data and making predictions: namely Markov chain, multiple linear regression, simple neural network, deep neural network, and random forest. Among the environmental factors, coastal exposure on concrete beams had the greatest influence, while rainfall on timber windows the least. Random forest modeling was the most accurate and was also explored using the local interpretable model-agnostic explanation (LIME) technique, which revealed that the environmental factor effects were more evident during the mid-life of elements rather than at the early or late stages. Including environmental factors in degradation models in addition to element age will increase their accuracy and portability.
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Data Availability Statement
Some or all of the data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
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© 2023 American Society of Civil Engineers.
History
Received: Mar 14, 2023
Accepted: Jul 31, 2023
Published online: Sep 25, 2023
Published in print: Dec 1, 2023
Discussion open until: Feb 25, 2024
ASCE Technical Topics:
- Age factors
- Beams
- Building materials
- Buildings
- Business management
- Chemical degradation
- Chemical processes
- Chemistry
- Climates
- Concrete beams
- Ecosystems
- Engineering fundamentals
- Engineering materials (by type)
- Environmental engineering
- Forests
- Materials engineering
- Meteorology
- Model accuracy
- Models (by type)
- Practice and Profession
- Precipitation
- Rainfall
- Structural engineering
- Structural members
- Structural systems
- Structures (by type)
- Wood and wood products
- Workplace diversity
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