Refine
Year of publication
Document Type
- Article (408)
- Conference Proceeding (147)
- Part of a Book (34)
- Doctoral Thesis (17)
- Book (7)
- Other (3)
- Lecture (2)
- Patent (1)
- Talk (1)
Language
- English (620) (remove)
Keywords
- Finite-Elemente-Methode (7)
- Limit analysis (6)
- Clusterion (5)
- Shakedown analysis (5)
- solar sail (5)
- Air purification (4)
- Einspielen <Werkstoff> (4)
- Hämoglobin (4)
- Lipopolysaccharide (4)
- Luftreiniger (4)
- Plasmacluster ion technology (4)
- Raumluft (4)
- Sonde (4)
- CellDrum (3)
- Eisschicht (3)
- GOSSAMER-1 (3)
- Kohlenstofffaser (3)
- MASCOT (3)
- lipopolysaccharides (3)
- shakedown analysis (3)
Institute
- IfB - Institut für Bioengineering (620) (remove)
7th International Conference on Reliability of Materials and Structures (RELMAS 2008). June 17 - 20, 2008 ; Saint Petersburg, Russia. pp 354-358. Reprint with corrections in red Introduction Analysis of advanced structures working under extreme heavy loading such as nuclear power plants and piping system should take into account the randomness of loading, geometrical and material parameters. The existing reliability are restricted mostly to the elastic working regime, e.g. allowable local stresses. Development of the limit and shakedown reliability-based analysis and design methods, exploiting potential of the shakedown working regime, is highly needed. In this paper the application of a new algorithm of probabilistic limit and shakedown analysis for shell structures is presented, in which the loading and strength of the material as well as the thickness of the shell are considered as random variables. The reliability analysis problems may be efficiently solved by using a system combining the available FE codes, a deterministic limit and shakedown analysis, and the First and Second Order Reliability Methods (FORM/SORM). Non-linear sensitivity analyses are obtained directly from the solution of the deterministic problem without extra computational costs.
Limit loads of circumferentially flawed pipes and cylindrical vessels under internal pressure
(2006)
Load bearing capacity of thin shell structures made of elastoplastic material by direct methods
(2008)
Limit loads can be calculated with the finite element method (FEM) for any component, defect geometry, and loading. FEM suggests that published long crack limit formulae for axial defects under-estimate the burst pressure for internal surface defects in thick pipes while limit loads are not conservative for deep cracks and for pressure loaded crack-faces. Very deep cracks have a residual strength, which is modelled by a global collapse load. These observations are combined to derive new analytical local and global collapse loads. The global collapse loads are close to FEM limit analyses for all crack dimensions.
Humic substances (HS), as important environmental components, are essential to soil health and agricultural sustainability. The usage of low-rank coal (LRC) for energy generation has declined considerably due to the growing popularity of renewable energy sources and gas. However, their potential as soil amendment aimed to maintain soil quality and productivity deserves more recognition. LRC, a highly heterogeneous material in nature, contains large quantities of HS and may effectively help to restore the physicochemical, biological, and ecological functionality of soil. Multiple emerging studies support the view that LRC and its derivatives can positively impact the soil microclimate, nutrient status, and organic matter turnover. Moreover, the phytotoxic effects of some pollutants can be reduced by subsequent LRC application. Broad geographical availability, relatively low cost, and good technical applicability of LRC offer the advantage of easy fulfilling soil amendment and conditioner requirements worldwide. This review analyzes and emphasizes the potential of LRC and its numerous forms/combinations for soil amelioration and crop production. A great benefit would be a systematic investment strategy implicating safe utilization and long-term application of LRC for sustainable agricultural production.