PhD Courses in Denmark

Material Testing and Predictive Modeling applied to Heritage Collections

The Royal Danish Academy, the PhD School

Language

English

Lecturer(s)

Nanna Bjerregaard Pedersen

Other Lecturer(s)

Alexandra Bridarolli
Muhammad Farhan Jahangir
Cecil Krarup Andersen                                                                  

Course description

Cultural heritage materials face continuous environmental fluctuations, including temperature, relative humidity, light, and pollutants, which drive physical, chemical, and mechanical degradation. Determining when such changes threaten an object's value, and how to intervene, increasingly depends on evidence generated through testing, monitoring, and modelling rather than on experience or intuition alone.

This PhD course introduces participants to the concepts, methods, and tools necessary to understand, test, and predict material behaviors for conservation decision-making. Through lectures, case studies, and discussions directly related to participants research projects, the course addresses the characterization of materials and their degradation processes, the design and use of model materials and accelerated aging studies, and the development, validation, and interpretation of predictive models, ranging from simple damage functions to multivariable computational simulations.

By the end of the course, participants should be able to:

  • Relate concepts of damage, degradation, deterioration, and aging to cultural heritage value, and identify when material change becomes significant. 
  • Critically assess the relationship between data quality, model assumptions, and model reliability.
  • Select material characterization methods appropriate to a given research question, distinguishing between physical, mechanical, chemical, and visual approaches.
  • Compare modeling strategies for representing environmental influences on materials

 


Dates

23-27 August 

Venue

TBA

ECTS

3

Application deadline

27/07-2027 via https://katalog.kglakademi.dk/phdtilmeld.php