Results 241 to 250 of about 2,251,696 (313)
This article introduces an automated approach for converting the raw research data (use case of low‐cycle‐fatigue testing dataset) to machine‐readable resource description framework ones and storing them in an open digital repository. As two main prerequisites for this data digitalization process, the development of fatigue testing ontology and ckan ...
Hossein Beygi Nasrabadi+2 more
wiley +1 more source
Study on Relationship Between Mechanical Properties and Water Absorption Characteristics of Mortars by Using Digital Image Correlation Method (DICM). [PDF]
Usman M+4 more
europepmc +1 more source
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia+2 more
wiley +1 more source
Using HALO digital image analysis for automated detection of bovine viral diarrhea virus antigen in ear-notch specimens. [PDF]
Lin SJ+3 more
europepmc +1 more source
An Automatized Simulation Workflow for Powder Pressing Simulations Using SimStack
The implementation of Workflow active Nodes (WaNos) for the convenient execution and automated evaluation of discrete element method calculations of powder pressing is showcased. Purposeful combination of WaNos creates timesaving and resource‐effective computational workflows.
Bjoern Mieller+2 more
wiley +1 more source
Noncontact optical 3D strain measurements in cervical soft tissues biomechanics by digital image correlation under tensile test: an experimental approach. [PDF]
Lin F+9 more
europepmc +1 more source
Digital Methods for the Fatigue Assessment of Engineering Steels
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener+7 more
wiley +1 more source