Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Learning from the Past: Parametric Analysis of Cob Walls

Version 1 : Received: 12 July 2023 / Approved: 13 July 2023 / Online: 14 July 2023 (09:44:08 CEST)

A peer-reviewed article of this Preprint also exists.

Jiménez Rios, A. Learning from the Past: Parametric Analysis of Cob Walls. Applied Sciences 2023, 13, 9045, doi:10.3390/app13159045. Jiménez Rios, A. Learning from the Past: Parametric Analysis of Cob Walls. Applied Sciences 2023, 13, 9045, doi:10.3390/app13159045.

Abstract

We have much to learn from historic buildings. The fact that they are still standing is obvious, but unfortunately often not appreciated. In this paper the results obtained from a series of parametric analyses, where the influence that geometric and mechanical parameters have in the structural response of existing cob walls within an Irish context, are presented. A design of experiments using central composite designs was implemented along with analysis of variance following two computational approaches, namely, finite element method and kinematic limit analysis. As results, a series of response surfaces and parametric equations with which it is possible to compute safety factors and collapse multipliers (within the range of values studied) are provided. Based on the results obtained, it could be concluded that traditional cob walls in Ireland are very robust. Relatively high acceleration values, unlikely to happen in a low seismic hazard region such as Ireland, would be needed to start the collapse mechanisms studied or cause yielding in typical vernacular cob walls. Furthermore, the equations generated with the refined regression models, can be used by practitioners as a first approach to estimate the safety levels of existing cob buildings with similar characteristics.

Keywords

Cob; Finite Element Method; Limit Analysis; Design of Experiments; Response Surface

Subject

Engineering, Civil Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.