Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Combined Finite–Discrete element method for parameter identification of masonry structures
https://orcid.org/0000-0001-6213-9591
Abstract Masonry structures are constructions made of discontinuous blocks that require unique numerical methods incorporating contact, friction, and cohesion models for their analysis. Given the large number of aging structures of this type still in use, there is a demand to combine these numerical methods with optimization algorithms to help in structural health monitoring. This paper combines discrete and finite methods with genetic algorithms for parametrizing two masonry structures. The first is a bridge with a large number of blocks, the material properties of which are estimated with a small error. Since the loads are low, the mortar’s properties are irrelevant. The second is a buried ogival vault; starting from only four pieces of experimental data from the literature and related with the failure loads, the material and contact properties are calculated. From them, many other failure loads are again iteratively calculated and favorably compared with the rest of the data. To further validate the inverse problem, the computed properties are used for several runs of the same vault but under different loads, obtaining again an almost perfect agreement with the experiments.
Highlights Wall experimental crack simulated with FemDem getting same trend and 17% max. error. Masonry bridge discretized with 212 blocks, 529 finite elements, 78 control nodes. Young’s moduli, Poisson coef and density identified with only 2.3%, 4%, 2.2% errors. Contact and material parameters optimized from global experimental results. Ogival vault global experiment results fitted well with four conditions’ data.
Combined Finite–Discrete element method for parameter identification of masonry structures
https://orcid.org/0000-0001-6213-9591
Abstract Masonry structures are constructions made of discontinuous blocks that require unique numerical methods incorporating contact, friction, and cohesion models for their analysis. Given the large number of aging structures of this type still in use, there is a demand to combine these numerical methods with optimization algorithms to help in structural health monitoring. This paper combines discrete and finite methods with genetic algorithms for parametrizing two masonry structures. The first is a bridge with a large number of blocks, the material properties of which are estimated with a small error. Since the loads are low, the mortar’s properties are irrelevant. The second is a buried ogival vault; starting from only four pieces of experimental data from the literature and related with the failure loads, the material and contact properties are calculated. From them, many other failure loads are again iteratively calculated and favorably compared with the rest of the data. To further validate the inverse problem, the computed properties are used for several runs of the same vault but under different loads, obtaining again an almost perfect agreement with the experiments.
Highlights Wall experimental crack simulated with FemDem getting same trend and 17% max. error. Masonry bridge discretized with 212 blocks, 529 finite elements, 78 control nodes. Young’s moduli, Poisson coef and density identified with only 2.3%, 4%, 2.2% errors. Contact and material parameters optimized from global experimental results. Ogival vault global experiment results fitted well with four conditions’ data.
Combined Finite–Discrete element method for parameter identification of masonry structures
https://orcid.org/0000-0001-6213-9591
Abstract Masonry structures are constructions made of discontinuous blocks that require unique numerical methods incorporating contact, friction, and cohesion models for their analysis. Given the large number of aging structures of this type still in use, there is a demand to combine these numerical methods with optimization algorithms to help in structural health monitoring. This paper combines discrete and finite methods with genetic algorithms for parametrizing two masonry structures. The first is a bridge with a large number of blocks, the material properties of which are estimated with a small error. Since the loads are low, the mortar’s properties are irrelevant. The second is a buried ogival vault; starting from only four pieces of experimental data from the literature and related with the failure loads, the material and contact properties are calculated. From them, many other failure loads are again iteratively calculated and favorably compared with the rest of the data. To further validate the inverse problem, the computed properties are used for several runs of the same vault but under different loads, obtaining again an almost perfect agreement with the experiments.
Highlights Wall experimental crack simulated with FemDem getting same trend and 17% max. error. Masonry bridge discretized with 212 blocks, 529 finite elements, 78 control nodes. Young’s moduli, Poisson coef and density identified with only 2.3%, 4%, 2.2% errors. Contact and material parameters optimized from global experimental results. Ogival vault global experiment results fitted well with four conditions’ data.
Combined Finite–Discrete element method for parameter identification of masonry structures
Bravo, R. (Autor:in) / Pérez–Aparicio, J.L. (Autor:in)
24.06.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A combined finite-discrete element analysis of dry stone masonry structures
| Online Contents | 2013
Analysis of masonry structures by discrete finite element method
| British Library Conference Proceedings | 2005
Dynamic Analysis of Masonry Arch Structures by Discrete Finite Element Method
| British Library Conference Proceedings | 2003
Analysis of Masonry Bridges: Discrete Finite Element Method
| British Library Online Contents | 2006