NUMERICAL DISCRETISATION OF BUILT STRUCTURES ASSUMPTION AND REALITY

Authors

  • Marc Gutermann University of Applied Sciences Bremen, Institute for Experimental Static, Neustadtswal l 30, Bremen, Germany
  • Carsten Schröder University of Applied Sciences Bremen, Institute for Experimental Static, Neustadtswal l 30, Bremen, Germany

DOI:

https://doi.org/10.14311/APP.2017.7.0017

Abstract

The second half of the 20th century was affected by the introduction of electronic data processing. The numerical methods appeared to be capable of solving every engineering problem. However, dealing with real problems, an appropriate numerical discretization of built structures is in many cases a difficult task, since fundamental input data concerning the actual properties of the structure, material and the mechanical boundary condition couldn’t always be met. Typical difficulties are an incomplete documentation, unknown effects of structural faults and uncertain material properties. In this paper our experience in experimental assessment of structures is described and the outcome of experimental versus numerical results is compared in several examples. This paper summarizes finally both prospects and limitations of numerical simulations of built structures and shall show that the identified load bearing capacity is strongly bound to the quality of the numerical structural model.

Downloads

Published

2016-12-09

Issue

Vol. 7 (2017): ExNum 2016

Section

Articles

License

Copyright notice

Authors who publish with this journal agree to the following terms:

1. Authors retain copyright and grant the journal the right of the first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., to post it to an institutional repository or to publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges as well as earlier and greater citation of the published work (See The Effect of Open Access).