The paper proposes a method for characterizing the in-situ interaction between filaments in a multifilament yarn. The stress transfer between neighboring filaments causes the reactivation of a broken filament at some distance from the break. The utilized statistical bundle models predict a change in the slope of the mean size effect curve once the specimen length becomes longer than the stress transfer length. This fact can be exploited in order to determine the stress transfer length indirectly using the yarn tensile test with appropriately chosen test lengths. The identification procedure is demonstrated using two test series of tensile tests with AR-glass and carbon yarns
In the textile industry, composite yarns with multifilament cores are used to impart strength. There...
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are ...
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are ...
The idea underlying the present study was to apply twisting in order to introduce different levels o...
The scope of the presented master thesis was the experimental study of multi-filament yarns made of ...
Technical textiles play a highly important role in today's material engineering. In fibrous composit...
This thesis describes a new model of the behaviour of staple fibre yarns under longitudinal extensio...
A stochastic model is introduced for predicting the stress-strain curve of a woollen yarn under long...
AbstractThe paper presents a thorough study of sources of randomness/disorder in multi-filament yarn...
AbstractThe present study addresses the influence of variations in material properties along the mul...
Textile reinforcement yarns consist of many filaments, which can slip relative each other. At modell...
Le renforcement du béton par des structures en acier est une technologie maîtrisée et très utilisée ...
The purpose of this study is to gain an understanding of parameters that affect the strength of yarn...
The paper presents a meso-scopic modeling framework for the simulation of three-phase composite cons...
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are ...
In the textile industry, composite yarns with multifilament cores are used to impart strength. There...
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are ...
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are ...
The idea underlying the present study was to apply twisting in order to introduce different levels o...
The scope of the presented master thesis was the experimental study of multi-filament yarns made of ...
Technical textiles play a highly important role in today's material engineering. In fibrous composit...
This thesis describes a new model of the behaviour of staple fibre yarns under longitudinal extensio...
A stochastic model is introduced for predicting the stress-strain curve of a woollen yarn under long...
AbstractThe paper presents a thorough study of sources of randomness/disorder in multi-filament yarn...
AbstractThe present study addresses the influence of variations in material properties along the mul...
Textile reinforcement yarns consist of many filaments, which can slip relative each other. At modell...
Le renforcement du béton par des structures en acier est une technologie maîtrisée et très utilisée ...
The purpose of this study is to gain an understanding of parameters that affect the strength of yarn...
The paper presents a meso-scopic modeling framework for the simulation of three-phase composite cons...
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are ...
In the textile industry, composite yarns with multifilament cores are used to impart strength. There...
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are ...
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are ...