scholarly journals Standards-Based Technologies for Exchanging Fatigue Test Data

Author(s):  
Tim Austin ◽  
Lianshan Lin ◽  
Thomas Métais

Fatigue testing campaigns are a common feature in the design and operation of advanced engineering systems in the aerospace and power generation sectors. The resulting data are typically of a high inherent technical and financial value. Presently, these data are typically transferred between departments and companies by way of ad-hoc solutions reliant on obsolete or proprietary technologies, including CSV files, MS Excel® files, and PDFs. In these circumstances there is significant potential for data loss, inconsistency, and error. To address these shortcomings, there is a need for a systematic means of transferring data between different digital systems. With this in mind, a series of CEN Workshops on engineering materials data have taken place with a view to developing technologies for representing and exchanging engineering materials data. Most recently, a CEN Workshop on the topic of fatigue test data has delivered data formats derived from the ISO 12106 standard for axial strain-controlled fatigue testing. This paper describes the methodology for developing the data formats and demonstrates their use in the scope of the INCEFA-PLUS project on increasing safety in nuclear power plants by covering gaps in environmental fatigue assessment.

Author(s):  
Paul Smart

AbstractThe World Wide Web has had a notable impact on a variety of epistemically relevant activities, many of which lie at the heart of the discipline of knowledge engineering. Systems like Wikipedia, for example, have altered our views regarding the acquisition of knowledge, while citizen science systems such as Galaxy Zoo have arguably transformed our approach to knowledge discovery. Other Web-based systems have highlighted the ways in which the human social environment can be used to support the development of intelligent systems, either by contributing to the provision of epistemic resources or by helping to shape the profile of machine learning. In the present paper, such systems are referred to asknowledge machines. In addition to providing an overview of the knowledge machine concept, the present paper reviews a number of issues that are associated with the scientific and philosophical study of knowledge machines. These include the potential impact of knowledge machines for the theory and practice of knowledge engineering, the role of social participation in the realization of knowledge-based processes, and the role of standardized, semantically enriched data formats in supporting thead hocassembly of special-purpose knowledge systems and knowledge processing pipelines.


2020 ◽  
Vol 65 (1) ◽  
pp. 1-7
Author(s):  
David T. Rusk ◽  
Robert E. Taylor ◽  
Bruce A. Pregger ◽  
Luis J. Sanchez

A program has recently concluded that generated fatigue test data for the influence of a rotorcraft main rotor blade root bending spectrum (Helix) on the crack nucleation mechanisms in 7075-T651 aluminum. High-frequency tests were performed that generated spectrum fatigue failures out to nearly 109 cycles. Fractographic examination showed a distinct change in crack nucleation from slip initiated to inclusion-initiated cracking as the spectrum peak stress level was increased. Spectrum life predictions were made using three different baseline constant-amplitude S-N curves, one using a traditional rotorcraft original equipment manufacturer fitting methodology, one using the high-cycle fatigue (HCF) portion of a strainlife curve, and one that was fitted to S-N data with test lives out to 3×108 cycles. The spectrum life prediction using the S-N curve that properly modeled material behavior in the very high cycle fatigue regime provided a good correlation to the spectrum fatigue test data. Predictions using the other S-N curves were highly conservative.


2010 ◽  
Vol 2010 (0) ◽  
pp. 744-745
Author(s):  
Makoto OHTA ◽  
Yoshihiro MIZUTANI ◽  
Akira TODOROKI ◽  
Ryosuke MATSUZAKI

1966 ◽  
Vol 88 (4) ◽  
pp. 345-354 ◽  
Author(s):  
L. A. Booth

Cycle analysis and preliminary component designs are made for prospective nuclear reactor-MHD commercial power plants, and the problems associated with component development are discussed. The concept of commercial MHD power production is compared with other nuclear reactor power plants, and recommendations are made as to the feasibility of the MHD concept. The results of the study, conducted by an ad hoc committee of staff members at the Los Alamos Scientific laboratory, indicate that nuclear reactor-MHD power production is not feasible for the foreseeable future. The development of major components for MHD plants would require extensive programs, and this cannot be justified in view of the presently undefined criteria. Moreover, no significant gains in power economy can be predicted that will allow the nuclear-MHD plant to compete with more conventional nuclear power plants.


Author(s):  
Kevin Mottershead ◽  
Matthias Bruchhausen ◽  
Thomas Métais ◽  
Sergio Cicero ◽  
David Tice

INCEFA-PLUS is a five year project supported by the European Commission HORIZON2020 program. The project commenced in mid-2015. 16 organizations from across Europe have combined forces to deliver new experimental data which will support the development of improved guidelines for assessment of environmental fatigue damage to ensure safe operation of nuclear power plants. Within INCEFA-PLUS, the effects of mean strain, hold time, strain amplitude and surface finish on fatigue endurance of austenitic stainless steels in light water reactor environments are being studied experimentally, these being issues of common interest to all participants. The data obtained are being collected and standardized in an online environmental fatigue database, implemented with the assistance of a CEN workshop led by members of the INCEFA-PLUS project. Later in the project it is planned that INCEFA-PLUS will develop and disseminate methods for including the new data into assessment approaches for environmental fatigue degradation. This paper provides an update to the project introduction presented at PVP2016 (PVP2016-63149). In particular the paper presents the finalized matrix of test conditions for Phase 1 testing planned for 2017, including the agreed positions on testing for the effects of mean stress/strain and hold time. The materials being tested are summarized, together with available material characterization data. The specimen surface finishes used in the phase 1 testing are described, including measures taken to ensure uniformity of surface conditions throughout the consortium and characterization results for the two chosen surface finishes for each specimen geometry and material. The emerging plans for Phase 2 testing is also described, with a focus on steps being taken to enable more plant-relevant testing for the effects of mean stress and exploration of sensitivities to hold times within plant transients. The latest view on how the project results will be used to advance development of improved assessment guidelines is also discussed. An update is provided on the discussions at the CEN workshop on Standards-Compliant Formats for Fatigue Test Data (FATEDA) including progress towards agreeing test data formats and trials of XML data transfers from laboratory to database. Finally, a summary is provided of project dissemination activities.


The requirement for all potentially hazardous plant is to achieve high reliability of engineering systems by design . The process of reliability analysis is a fundamental part of the design process in the nuclear power industry. Such analysis recognizes that there is always some possibility of engineering equipment failing and therefore the ability of the plant to be reasonably tolerant of such failures is investigated. In this paper the methods and philosophy underlying reliability analysis are briefly explained with examples of qualitative techniques such as failure modes and effects analysis, and fault tree analysis. In addition some of the quantitative models of equipment reliability are discussed and the need for robust statistical techniques for data analysis explained.


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