Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Model of paintings with craquelure patterns for evidence-based environmental control in museums

2019/34/H/HS2/00581

Keywords:

paintings craquelure patterns museums preventive conservation environmental specifications modelling of crack development fracture mechanics

Descriptors:

  • HS2_9: Conservation and restoration
  • ST5_1: Structural properties of materials

Panel:

HS2 - Culture and cultural production: literary theory and comparative literature, history of literature, linguistics, library science, cultural studies, arts, architecture

Host institution :

Instytut Katalizy i Fizykochemii Powierzchni im. Jerzego Habera Polskiej Akademii Nauk

woj.

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Łukasz Tadeusz Bratasz 

Number of co-investigators in the project: 11

Call: GRIEG 1 - announced on 2019-06-17

Amount awarded: 4 709 378 PLN

Project start date (Y-m-d): 2020-09-15

Project end date (Y-m-d): 2024-04-14

Project duration:: 43 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (10)
  • Articles in post-conference publications (3)
  1. Strain energy density-based machine learning approaches for predicting crack evolution in wooden panels
    Authors:
    America Califano, Pietro Foti, Marco Baiesi, Filippo Berto, Chiara Bertolin
    Academic press:
    Computer and structures (rok: 2024, tom: N/A, strony: N/a), Wydawca: Elsevier
    Status:
    Submitted
  2. Predicting damage evolution in panel painting with machine learning
    Authors:
    A. Califano, P. Foti, F. Berto, M. Baiesia, C. Bertolin
    Academic press:
    Structural Integrity Procedia (rok: 2022, tom: 41, strony: 145-157), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.prostr.2022.05.017 - link to the publication
  3. Three-dimensional numerical and experimental study of fracture saturation in panel paintings
    Authors:
    M. Y. A. Jamalabadi, N. Zabari, Ł. Bratasz
    Academic press:
    Wood Science and Technology (rok: 2021, tom: 55, strony: 1555-1576), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s00226-021-01328-z - link to the publication
  4. Fracture toughness of aged oil paints
    Authors:
    A. Janas, N. Avgerou, M. N. Charalambides, L. Fuster-López & Ł. Bratasz
    Academic press:
    Heritage Science (rok: 2024, tom: 0,571527777777778, strony: N/A), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1186/s40494-024-01224-2 - link to the publication
  5. Three-dimensional numerical and experimental study of fracture saturation in panel paintings
    Authors:
    M. Y. A. Jamalabadi, N. Zabari, Ł. Bratasz
    Academic press:
    Wood Science and Technology (rok: 2021, tom: 55, strony: 1555-1576), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s00226-021-01328-z - link to the publication
  6. Mechanical and moisture-related properties of selected dried tempera paints
    Authors:
    K. Poznańska, A. Hola, R. Kozłowski, M. Strojecki & Ł. Bratasz
    Academic press:
    Heritage Science (rok: 2024, tom: 0,517361111111111, strony: N/A), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1186/s40494-024-01147-y - link to the publication
  7. Development of craquelure patterns in paintings on panels
    Authors:
    S. Antropov & Ł. Bratasz
    Academic press:
    Heritage Science (rok: 2024, tom: 0,561805555555556, strony: N/A), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1186/s40494-024-01189-2 - link to the publication
  8. Predicting damage evolution in panel painting with machine learning
    Authors:
    A. Califano, P. Foti, F. Berto, M. Baiesia, C. Bertolin
    Academic press:
    Structural Integrity Procedia (rok: 2022, tom: 41, strony: 145-157), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.prostr.2022.05.017 - link to the publication
  9. Development of craquelure patterns in paintings on canvas
    Authors:
    M. Bury, Ł. Bratasz
    Academic press:
    Heritage Science (rok: 2024, tom: N/A, strony: N/A), Wydawca: Elsevier
    Status:
    Submitted
  10. Three-dimensional numerical and experimental study of fracture saturation in panel paintings
    Authors:
    M. Y. A. Jamalabadi, N. Zabari, Ł. Bratasz
    Academic press:
    Wood Science and Technology (rok: 2021, tom: 55, strony: 1555-1576), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s00226-021-01328-z - link to the publication
  1. Analysis of craquelure patterns in historical painting using image processing along with neural network algorithms
    Authors:
    Noemi Zabari
    Conference:
    Proc. SPIE 11784, Optics for Arts, Architecture, and Archaeology VIII, 1178408 (rok: 2021, tom: SPIE Optical Metrology, 2021, strony: N/A), Wydawca: SPIE
    Data:
    konferencja 44390
    Status:
    Published
    DOI:
    10.1117/12.2593982 - link to the publication
  2. Analysis of craquelure patterns in historical painting using image processing along with neural network algorithms
    Authors:
    Noemi Zabari
    Conference:
    Proc. SPIE 11784, Optics for Arts, Architecture, and Archaeology VIII, 1178408 (rok: 2021, tom: SPIE Optical Metrology, 2021, strony: N/A), Wydawca: SPIE
    Data:
    konferencja 44390
    Status:
    Published
    DOI:
    10.1117/12.2593982 - link to the publication
  3. Analysis of craquelure patterns in historical painting using image processing along with neural network algorithms
    Authors:
    Noemi Zabari
    Conference:
    Proc. SPIE 11784, Optics for Arts, Architecture, and Archaeology VIII, 1178408 (rok: 2021, tom: SPIE Optical Metrology, 2021, strony: N/A), Wydawca: SPIE
    Data:
    konferencja 44390
    Status:
    Published
    DOI:
    10.1117/12.2593982 - link to the publication

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