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Modelling and Analysis


Monitoring not mere physical values but the deterioration risk itself, is an essential added value for the preventive conservation: Whilst up to now monitoring focussed on the acquisition of physical values, the output of the here developed Smart Monitoring is a “translation” of the monitoring data into the practitioners needs: e.g. deterioration rates, accumulated values, alarms (e.g. if thresholds are reached) and recommended actions. This data fusion, based on implemented material and deterioration models, will allow to analyse monitored data in real-time, whereas up to now most data interpretation is done ex-post, usually with a considerable time-lag, so that recommended actions are late. The project makes a point of targeting practitioners’ needs: the definition of analysis modules is driven by the questions and demands from conservators and persons responsible for the preventive conservation “in the field”. This means that complex structures and objects are being tackled, the academic approach – research often specialised on processes in specific materials – loses the focus it usually has and becomes a “service provider”.

The adopted material and deterioration models are simplified and implemented in a way that they become useful for the practitioner and can be implemented in the monitoring system. The decrease in accuracy, which the simplification might bring, is being analysed and kept within acceptable limits – and it is anyway at least in part countervailed by the immediateness of the available information. It is important, that material and deterioration models are not any more stand-alone tools, which can be used only by experts.

Where necessary, further enhancement and development of material and deterioration models using FE modelling (e.g. of pollution distribution, diffusion processes and material deterioration processes) is conducted and validated with data from continuous monitoring and test data from comparative testing.


The overall objective of the work package "Modelling & Analysis" was the provision of methods and algorithms of data reduction and analysis for continuous monitoring of historic structures intended for preventive conservation. The approach to reach this overall objective can be broken down into the following particular objectives:
  • Determination of necessary material and deterioration models to answer the questions raised, considering the most important influences from the environment (data fusion) that could be monitored by sufficient technologies.
  • Assessment of existing and appropriate material and deterioration models
  • Validation, further enhancement and new development of material and deterioration models using FE modelling (e.g. of pollution distribution, diffusion processes and material deterioration processes), data from continuous monitoring and test data from comparative testing
  • Development of methods and algorithms for data reduction and interpretation based on the above material and deterioration models, which are convenient to use and can be implemented into the monitoring system
  • Development of a user-friendly modular open source software for data evaluation and interpretation, implemented in the monitoring system, open for extensions (also by other research groups)

Reports for Download

FIG. 1 Masonry wallet built in Laboratory.

FIG.2 Equivalent Lagrangean System

FIG.3 Water rising in masonry after 18 and 62 days.

FIG.4 Water rising in undamaged and damaged masonry wall after 2 years and 2 months respectively.

FIG.5 Two months water rising effect in damaged masonry wall with coupled and uncoupled behaviour respectively. even though the slot time is just two months, note the higher damage level reached when coupling together environmental deterioration and mechanical behaviour.

Created by: admin. Last Modification: Tuesday 14 of February, 2012 10:15:11 CET by admin.