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risk-based model

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Series: ASM Handbook
Volume: 13A
Publisher: ASM International
Published: 01 January 2003
DOI: 10.31399/asm.hb.v13a.a0003642
EISBN: 978-1-62708-182-5
.... This article discusses the principles and applications of various models developed for understanding the corrosion mechanism. These models include mechanistic models, including Pourbaix model, thermophysical module, electrochemical module, and ion association model; risk-based models; and knowledge models...
Series: ASM Handbook
Volume: 21
Publisher: ASM International
Published: 01 January 2001
DOI: 10.31399/asm.hb.v21.a0003396
EISBN: 978-1-62708-195-5
... with predefined equations based on industry standards. In the Design and Manufacture of Low-Cost Composites for Engines (DMLCCE) Air Force program, General Electric Aircraft Engines (GEAE) used Cost Advantage as a framework to develop custom process cost models for filament winding and braiding of engine...
Series: ASM Handbook
Volume: 11A
Publisher: ASM International
Published: 30 August 2021
DOI: 10.31399/asm.hb.v11A.a0006803
EISBN: 978-1-62708-329-4
... and model parameters have some uncertainty in real-world structures. To this day (2020), structural design codes are deterministically based, with the uncertainties accounted for by using conservatisms such as safety factors, design factors, and so on to cover a realistic range of variation. Given the level...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0007022
EISBN: 978-1-62708-439-0
... qualification also requires a significant amount of data to calibrate and validate the models. Therefore, reference material data sets are required to advance model-based qualification. Risk-based qualification: This approach uses activities aimed at reducing the risk due to the presence of defects...
Series: ASM Handbook
Volume: 13C
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v13c.a0004110
EISBN: 978-1-62708-184-9
... to coated as well as bare pipe; however, all inspection methods do not apply to both coated and bare pipe and may require different interpretation based upon the particular application. Step 1: Preassessment (Assessment of Risk and Threats) The preassessment action step consists of the collection...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006444
EISBN: 978-1-62708-190-0
... Profiles from Heat Generation in Vibrating Cracks , Appl. Phys. Lett ., Vol 93 , 081914, 2008 10.1063/1.2976310 12. Li M. , Holland S.D. , and Meeker W.Q. , Statistical Methods for Automatic Crack Detection Based on Vibrothermography Sequence-of-Images Data , Appl. Stoch. Model...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002483
EISBN: 978-1-62708-194-8
...: speed (how long does it take to roll up a cost estimate on a new design), accuracy (what is the standard deviation of the estimate, based on comparison with actual costs) and risk (what is the probability distribution of the cost estimate; what fraction of the time will the estimate be more than 30% too...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005527
EISBN: 978-1-62708-197-9
... is the standard deviation of the estimate, based on comparison with actual costs) and risk (what is the probability distribution of the cost estimate; what fraction of the time will the estimate be more than 30% too low, for example). One excellent indicator of database commonality is the roll-up time criteria...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002436
EISBN: 978-1-62708-194-8
... on assumptions that a large number of future systems will, on the average, act the same way as a large number of similar past systems. Predicted risk is based on analysis of system, models, and historical data. Perceived risk is risk seen intuitively by individuals or society. It should be noted...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006962
EISBN: 978-1-62708-439-0
... on attacker goals. Figure 3 , based on the Yampolskiy et al. model, contains the three widely accepted threat categories identified in the literature as well as a fourth recently proposed category. The three primary categories are technical data theft, sabotage, and illegal part manufacturing. The final...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006463
EISBN: 978-1-62708-190-0
... plotted as detection capability in terms of percentage of detection as a function of defect size. This curve can be used as one of multiple inputs to calculate risk of failure or other related safety factors when NDE-based inspections are used as a component of risk management. It is important to note...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006950
EISBN: 978-1-62708-439-0
... by Dassault Systèmes Simulia ( Ref 8 )—facilitate a simplified part-scale modeling approach to predict build failures based on residual stresses and strains. However, numerous meso- and microscale models have also been developed to simulate complex phenomena, such as microstructure evolution, pore formation...
Series: ASM Handbook
Volume: 13C
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v13c.a0004131
EISBN: 978-1-62708-184-9
... linkup in a MSD situation occurs and therefore significantly increases the risk of an in-service failure. Attempts have been made to quantify this effect by means of mechanistic models ( Ref 14 ), but the many parameters needed render the models unreliable so far, and a more empirical approach continues...
Series: ASM Handbook
Volume: 11A
Publisher: ASM International
Published: 30 August 2021
DOI: 10.31399/asm.hb.v11A.a0006832
EISBN: 978-1-62708-329-4
... of the product, product testing, and other engineering analyses (modeling, simulation, etc.). After the investigation is complete, conclusions/opinions are formulated. Expert opinions in such cases must be based on a consideration of all available and relevant information, must be grounded in scientific...
Series: ASM Handbook
Volume: 21
Publisher: ASM International
Published: 01 January 2001
DOI: 10.31399/asm.hb.v21.a0003391
EISBN: 978-1-62708-195-5
...-element-based methods. However, the level of modeling detail is typically coarser than that in coupon-level tests. For example, rather than assessing the local strain level near a stress concentration at which failure will occur, comparisons will be made to notched far-field strain allowables obtained...
Series: ASM Handbook Archive
Volume: 11
Publisher: ASM International
Published: 01 January 2002
DOI: 10.31399/asm.hb.v11.a0003514
EISBN: 978-1-62708-180-1
..., selection of a probability distribution, the failure model definition, and a definition of the probability of failure. The article also explains the solution techniques for special cases and general solution techniques, such as first-second-order reliability methods, the advanced mean value method...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005416
EISBN: 978-1-62708-196-2
... properties alone, without making explicit reference to the material type. Dimitriu followed this principle to design a neural network model based on the elongation, tensile strength, proof strength, specimen dimensions, stress ratio and frequency of loading ( Ref 16 ). The network was created on the basis...
Book Chapter

Series: ASM Desk Editions
Publisher: ASM International
Published: 01 December 1998
DOI: 10.31399/asm.hb.mhde2.a0003088
EISBN: 978-1-62708-199-3
.... Statistical risk is determined from currently available data, based on assumptions that a large number of future systems will, on the average, act the same way as a large number of similar past systems. Predicted risk is based on analysis of system, models, and historical data. Perceived risk...
Series: ASM Handbook
Volume: 13C
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v13c.a0004215
EISBN: 978-1-62708-184-9
... visual inspection, and non-invasive inspection. Inspection execution, risk-based inspection, competence assurance of inspection personnel, inspection coverage, inspection periodicity, inspection anomaly criteria, assessment of fitness, and reporting requirements, are also discussed. The article addresses...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006960
EISBN: 978-1-62708-439-0
... disposal, filter management, and other auxiliary processes. Process safety reviews the conditions and risks based on the machinery used to produce these parts. Machinery safety specified here is the energy source needed to produce these parts. This energy source includes (but is not limited to) high-energy...