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Approaches to refinement of analytical models for stress-strain state assessments of structures based on the analysis of monitoring system data
- Source :
- Труды Крыловского государственного научного центра, Vol 395, Iss 1, Pp 47-54 (2021)
- Publication Year :
- 2021
- Publisher :
- Krylov State Research Centre, 2021.
-
Abstract
- Object and purpose of research. This paper discusses numerical simulation possibilities in terms of stress-strain monitoring for marine engineering structures. This approach can simulate the behavior of strain gauges for both elastic and plastic material behavior. Materials and methods. FEM-based simulation of strain gauge operation process taking into account geometric and physical non-linearity. Main results. Development of refined FE models for sensor installation area of stress-strain monitoring system. Numerical simulation of uniaxial and triaxial strain gauge operation. Time histories of strain gauge readings for linear and non-linear behavior of material. Sensitivity analysis of strain gauges in terms of various strain types. Update of strain gauge arrangement for the best description of structural strains. Conclusion. These results demonstrate and confirm a strong potential of numerical models in development of stress-strain monitoring systems for engineering structures. Simulating strain gauge operation, these models make it possible to determine global strained state of given structure as per strain gauging data for some of its areas.
- Subjects :
- fe method
straining diagram
geometric non-linearity
Computer science
business.industry
Stress–strain curve
lcsh:Naval architecture. Shipbuilding. Marine engineering
Monitoring system
Structural engineering
stability
Condensed Matter::Materials Science
lcsh:VM1-989
strain gauge
State (computer science)
monitoring system
business
Subjects
Details
- ISSN :
- 26188244 and 25422324
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- Transactions of the Krylov State Research Centre
- Accession number :
- edsair.doi.dedup.....90b3abcfa1bc4fbc0ca3c5ca751ed8f2
- Full Text :
- https://doi.org/10.24937/2542-2324-2021-1-395-47-54