Open AccessChurch enclosure walls bearing capacity estimations and its validation on 3D models
Author(s) -
Petr Kuklík,
Martin Válek,
Ivana Božulić,
Pratik Gajjar,
Chandrashekhar Mahato,
Jacopo Scacco
Publication year - 2020
Publication title -
matec web of conferences
Language(s) - English
Resource type - Journals
eISSN - 2274-7214
pISSN - 2261-236X
DOI - 10.1051/matecconf/202031000023
Subject(s) - enclosure , masonry , bearing capacity , structural engineering , homogenization (climate) , finite element method , brittleness , nonlinear system , software , computer science , bearing (navigation) , frame (networking) , engineering , mechanical engineering , materials science , biodiversity , telecommunications , ecology , physics , quantum mechanics , artificial intelligence , composite material , biology , programming language
The paper deals with the nonlinear computational modeling of the baroque enclosure masonry walls. The main tasks are input parameters for efficient advanced numerical tools and techniques, which are based on nonlinear and quasi brittle constitutive FEM modeling. For the work was used the knowledge and results from the Broumov Group Churches survey acquired in the frame of international SAHC university cooperation. The goal of the contribution are real bearing capacity parameters of the composite enclosure walls, which leads from standard homogenization techniques. With regards to the material micro modeling of different wall configuration in longitudinal and transversal direction was done with ATENA 2D software to evaluate the safe bearing capacity of the walls. The set of models aim to assess the bearing capacity of the enclosure wall, which is the main structural element in the church. In detail, we will present results from the numerical investigation, and partial in situ testing, from Vižňov, Ruprechtice and Otovice. Finally, we will present calculation of cracks propagation on full 3D church models. Concerning historical structures, it is one way how to validate the quality of estimations and validate numerical models.