A Computational Methodology for the Synthesis of Assur Groups

Author(s):  
H. Manikandan ◽  
Vijayananda Kaup ◽  
Harish Babu
2019 ◽  
Vol 300 ◽  
pp. 170-186 ◽  
Author(s):  
Ghaidaa A. Khalid ◽  
Raj K. Prabhu ◽  
Owen Arthurs ◽  
Michael D. Jones

Soft Matter ◽  
2021 ◽  
Author(s):  
L. K. R. Duarte ◽  
A. V. N. C. Teixeira ◽  
L. G. Rizzi

We present an efficient computational methodology to obtain the viscoelastic response of dilute solutions of semiflexible filaments.


Author(s):  
T. L. Dickson ◽  
F. A. Simonen

The current regulations for pressurized thermal shock (PTS) were derived from computational models that were developed in the early-mid 1980s. The computational models utilized in the 1980s conservatively postulated that all fabrication flaws in reactor pressure vessels (RPVs) were inner-surface breaking flaws. It was recognized at that time that flaw-related data had the greatest level of uncertainty of the inputs required for the probabilistic-based PTS evaluations. To reduce this uncertainty, the United States Nuclear Regulatory Commission (USNRC) has in the past few years supported research at Pacific Northwest National Laboratory (PNNL) to perform extensive nondestructive and destructive examination of actual RPV materials. Such measurements have been used to characterize the number, size, and location of flaws in various types of welds and the base metal used to fabricate RPVs. The USNRC initiated a comprehensive project in 1999 to re-evaluate the current PTS regulations. The objective of the PTS Re-evaluation program has been to incorporate advancements and refinements in relevant technologies (associated with the physics of PTS events) that have been developed since the current regulations were derived. There have been significant improvements in the computational models for thermal hydraulics, probabilistic risk assessment (PRA), human reliability analysis (HRA), materials embrittlement effects on fracture toughness, and fracture mechanics methodology. However, the single largest advancement has been the development of a technical basis for the characterization of fabrication-induced flaws. The USNRC PTS-Revaluation program is ongoing and is expected to be completed in 2002. As part of the PTS Re-evaluation program, the updated risk-informed computational methodology as implemented into the FAVOR (Fracture Analysis of Vessels: Oak Ridge) computer code, including the improved PNNL flaw characterization, was recently applied to a domestic commercial pressurized water reactor (PWR). The objective of this paper is to apply the same updated computational methodology to the same PWR, except utilizing the 1980s flaw model, to isolate the impact of the improved PNNL flaw characterization on the PTS analysis results. For this particular PWR, the improved PNNL flaw characterization significantly reduced the frequency of RPV failure, i.e., by between one and two orders of magnitude.


2001 ◽  
Author(s):  
Wei Han ◽  
Ryszard J. Pryputniewicz

Abstract Advances in microelectronics depend on reliable packaging. As sizes of components decrease and number of components per package increases, demands on interconnections, or joining, of two parts, e.g., wire to tab, or tab to tab, increase rapidly. Since traditional joining techniques, such as resistance welding, may no longer produce satisfactory microinterconnections, alternative methods are being developed. One of such methods is based on laser microwelding. In this paper, we discuss fundamental processes involved in laser microwelding, outline a computational methodology to simulate thermal effects produced, describe facilities used, present results, and summarize correlations between the experimental and computational data for applications in electronic packaging.


2021 ◽  
Author(s):  
Jeremy Feinstein ◽  
ganesh sivaraman ◽  
Kurt Picel ◽  
Brian Peters ◽  
Alvaro Vazquez-Mayagoitia ◽  
...  

In this article, we present our recent study on computational methodology for predicting the toxicity of PFAS known as “forever chemicals” based on chemical structures through evaluation of multiple machine learning methods. To address the scarcity of PFAS toxicity data, a deep “transfer learning” method has been investigated by leveraging toxicity information over the entire organic chemical domain and an uncertainty-informed workflow by incorporating SelectiveNet architecture, which can support future guidance of high throughput screening with knowledge of chemical structures, has been developed.


1970 ◽  
Vol 1 ◽  
pp. 14-15
Author(s):  
Belén Hernández Gascón ◽  
Estefanía Peña Baquedano ◽  
Gemma Pascual González ◽  
Juan M. Bellón ◽  
Begoña Calvo

Abdominal hernia is a frequent disease and diverse problems following hernia repair could reduce the quality of patient life. This work is projected to define a computational methodology based on experimental techniques that would help surgeons in deciding which prosthesis is the most convenient depending on the type of defect and patient.


Author(s):  
Indranil Chowdhury ◽  
Swagato Chakraborty ◽  
Vikram Jandhyala ◽  
Dipanjan Gope ◽  
John Rockway

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