On the Reconstruction of Kantian Intuitions: Modern Logic

Özaltun, Eylem

doi:10.1515/9783110210347.5.175

Cited by 1 publication

(5 citation statements)

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“…Quasi-static tests were displacement controlled at a rate of 0.0254 mm/s (0.0013 mm/mm/s strain rate) to failure, where failure was defined as the stress preceding a rapid decrease in material stiffness portending structural failure. The displacement rate was chosen to maintain consistency with previous research and to conform to ASTM E8 [12][13][14][15]19,26]. The final area of each specimen was averaged from six measurements of the minimum diameter of the separated specimen.…”

Section: Resultsmentioning

confidence: 99%

“…This criterion ensured that only fatigue damage accrued prior to the development of the failure crack was considered in the construction of the SN curve. Since the energy-based framework considers crack initiation to represent failure, this criterion guarantees parity between the experimental SN curve and the lifing estimates generated by the energy-based method [12][13][14][15][16]. The experimental SN data is presented in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…This variation is attributable to material hardening or softening. Using this information, it is possible to develop a critical-life prediction by examining how the energy dissipation accelerates near fatigue failure [15][16][17]. Energy dissipation histories for each operating temperature are displayed in Fig.…”

Section: Dynamic Stress-strain Behaviormentioning

confidence: 99%

“…The critical-life is modeled by the critical-life coefficient which, in turn, was developed through a comparison of the strain energy dissipated to the critical point with the total strain energy dissipated at final failure. This parameter was then applied to the full-life equation to generate the critical-life [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…1 Validation of fuii-iife and criticai-iife predictive capabiiities, AL 6061-T6, R = -1 [15,16] practice that reduced modeling complexity at the cost of decreased applicability to actual gas turbine hardware. Fortunately, the energy-based nature of this framework permits the integration of generalized thermal loading into the roomtemperature lifing capability.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Energy-Based Axial Isothermal-Mechanical Fatigue Lifing Method

Wertz

Letcher

Shen

et al. 2012

Journal of Engineering for Gas Turbines and Power

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An energy-based fatigue lifing method for the determination of the full-life and criticallife of in-service structures subjected to axial isothermal-mechanical fatigue (IME) has been developed. The foundation of this procedure is the energy-based axial roomtemperature lifing model, which states: the total strain energy dissipated during both a quasi-static process and a dynamic (fatigue) process is the same material property. The axial IME lifing framework is composed of the following entities: (1) the development of an axial IME testing capability; (2) the creation of a testing procedure capable of assessing the strain energy dissipated during both a quasi-static process and a dynamic process at elevated temperatures; and (3) the incorporation of the effect of thermal loading into the axial fatigue lifing model. Both an axial IME capability and a detailed testing procedure were created. The axial IME capability was employed to produce full-life and critical-life predictions as functions of temperature, which were shown to have an excellent correlation with experimental fatigue data. Eor the highest operating temperature, the axial IME full-life prediction was compared to lifing predictions made by both the universal slopes and the uniform material law prediction and was found to be more accurate at an elevated temperature.

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