Research and Implementation of Parameter Mapping in Computational Method Combined Execution

2011 ◽  
Vol 308-310 ◽  
pp. 2319-2327
Author(s):  
Wei Qing Ling ◽  
Jian Wang

In view of the issues of computational method combined execution that need parameters transfer in the process of complex product engineering analysis, the execution principle and parameter file formats of computational method are discussed. Through parsed the computational parameters, the mapping relationship among multi-computational methods are established and parameters passing between computational methods is realized. A product design analysis environment system, called PDAE, is developed. With the application of PDAE in the analysis process for CFB boiler and turbo-generator, the feasibility and validity of the approach proposed is demonstrated.

Author(s):  
Kannan Subramanian ◽  
Jorge Penso ◽  
Harbi Pordal

Pressure safety relief valve (PSV) operation generally leads to cooling of the valve itself and the piping connected to the PSV. The temperatures may reach values below the minimum design metal temperature (MDMT) of the valve, and therefore the valve needs to be assessed for brittle fracture susceptibility. Simplistic determination of the minimum metal temperature in the valve may disqualify these valves during the brittle fracture assessments (BFA). Replacement may be time consuming and may not be cost effective. In such circumstances, a sophisticated and more representative BFA approach involving the use of computational fluid dynamics (CFD) followed by finite element method (FEM) based stress analysis which may be further followed by fracture mechanics can be adopted based on the concepts defined in ASME/API 579. The accuracy of the BFA depends on the accuracy of each of the computational method involved in the assessment. Among all the computational methods, CFD poses significant challenge. The low temperature may have been caused due to Joule-Thompson effect or auto-refrigeration. While Joule-Thompson effect can be best captured with easy to implement and robust CFD methods, auto-refrigeration involving adiabatic flashing which causes additional complexity and requires multiple sensitivity studies performed to determine the accuracy of the CFD approach. In this paper, an overview of the computational methods used in the brittle fracture assessment of PSVs is presented. Specific CFD method details are provided for PSV involving the flashing of liquid hydrocarbon to vapor is presented in the form of a case study derived from downstream industry application.


2019 ◽  
Vol 11 (1) ◽  
pp. 59-82 ◽  
Author(s):  
Yongyang Cai

Computational methods are required to solve problems without closed-form solutions in environmental and resource economics. Efficiency, stability, and accuracy are key elements for computational methods. This review discusses state-of-the-art computational methods applied in environmental and resource economics, including optimal control methods for deterministic models, advances in value function iteration and time iteration for general dynamic stochastic problems, nonlinear certainty equivalent approximation, robust decision making, real option analysis, bilevel optimization, solution methods for continuous time problems, and so on. This review also clarifies the so-called curse of dimensionality, and discusses some computational techniques such as approximation methods without the curse of dimensionality and time-dependent approximation domains. Many existing economic models use simplifying and/or unrealistic assumptions with an excuse of computational feasibility, but these assumptions might be able to be relaxed if we choose an efficient computational method discussed in this review.


2014 ◽  
Vol 1030-1032 ◽  
pp. 1251-1254
Author(s):  
Huan Xie ◽  
Wei Zeng

Taking into account the problem of plenty repeated works during the operation of engineering application software, the integrated solution of engineering application software based on EASA (the encapsulate tools of software) was proposed for improving the analysis efficiency and ensuring the analysis accuracy of software purpose. Then taking the strength analysis of bogie’s side frame as an example, the integrated analysis interface of strength analysis about side frame was established, realized the remote invocation based on Web, and the efficiency of engineering analysis was improved.


2020 ◽  
Vol 3 (5) ◽  
pp. 1360-1378
Author(s):  
V. A. Drozdov

The poem ‘Ushshaq-nama by Fakhr ad-Din ‘Iraqi (610–688 / 1213–1289) is the first poetical writing on the subject of mystical love in Persian literature. ‘Iraqi’s authorship of this work has never been questioned by researchers. However, the English orientalist J. Baldick 1973 cast a doubt on ‘Iraqi’s authorship of this poem. The article examines in detail the arguments of J. Baldick both from the point of view of the context of the creation of the poem, as well as the methods of the latest computational methods, in particular stylometry. Boldik's arguments concern both the historical and religious context in which ‘Iraqi lived and the peculiarities of his works, primarily the poem‘Ushshaq-name. The paper demonstrates that this computational method may be used for the study of the features of the style of Persian poetry and the confirmation of the authorship of doubtful Persian writings. Further expert decision full-field by Artjoms Šeļa based on stylometric methods for the establishment of the poem ‘Ushshaq- nama is expounded. While the results of the analysis of the historical and religious contexts of the poem may serve as confirmation of the authorship of ‘Iraqi and the refutation of the Baldick hypothesis, the results of the stylometric analysis do not give an unambiguous answer to the question of its authorship.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Ran Zhao ◽  
Bin Hu ◽  
Lei Chen ◽  
Bo Zhou

Oncogene is a special type of genes, which can promote the tumor initiation. Good study on oncogenes is helpful for understanding the cause of cancers. Experimental techniques in early time are quite popular in detecting oncogenes. However, their defects become more and more evident in recent years, such as high cost and long time. The newly proposed computational methods provide an alternative way to study oncogenes, which can provide useful clues for further investigations on candidate genes. Considering the limitations of some previous computational methods, such as lack of learning procedures and terming genes as individual subjects, a novel computational method was proposed in this study. The method adopted the features derived from multiple protein networks, viewing proteins in a system level. A classic machine learning algorithm, random forest, was applied on these features to capture the essential characteristic of oncogenes, thereby building the prediction model. All genes except validated oncogenes were ranked with a measurement yielded by the prediction model. Top genes were quite different from potential oncogenes discovered by previous methods, and they can be confirmed to become novel oncogenes. It was indicated that the newly identified genes can be essential supplements for previous results.


2019 ◽  
Vol 21 (5) ◽  
pp. 1568-1580 ◽  
Author(s):  
Hui Yang ◽  
Wuritu Yang ◽  
Fu-Ying Dao ◽  
Hao Lv ◽  
Hui Ding ◽  
...  

Abstract Meiotic recombination is one of the most important driving forces of biological evolution, which is initiated by double-strand DNA breaks. Recombination has important roles in genome diversity and evolution. This review firstly provides a comprehensive survey of the 15 computational methods developed for identifying recombination hotspots in Saccharomyces cerevisiae. These computational methods were discussed and compared in terms of underlying algorithms, extracted features, predictive capability and practical utility. Subsequently, a more objective benchmark data set was constructed to develop a new predictor iRSpot-Pse6NC2.0 (http://lin-group.cn/server/iRSpot-Pse6NC2.0). To further demonstrate the generalization ability of these methods, we compared iRSpot-Pse6NC2.0 with existing methods on the chromosome XVI of S. cerevisiae. The results of the independent data set test demonstrated that the new predictor is superior to existing tools in the identification of recombination hotspots. The iRSpot-Pse6NC2.0 will become an important tool for identifying recombination hotspot.


Author(s):  
Dazhong Wu ◽  
Janis Terpenny ◽  
Dirk Schaefer

In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and engineering analysis using the digital thread, data analytics, and high performance computing. Many of these initiatives such as Cloud-Based Design and Engineering analysis (CBDEA) fall under the umbrella of what has become known as Industry 4.0 or Industrial Internet. While an increasing number of companies are developing or already offering commercial cloud-based software packages and services for digital design and engineering analysis, little work has been reported on analyzing and documenting the related state-of-the-art as well as identifying potentially critical research gaps to be addressed in advancing this rapidly growing field. The objective of this paper is to present a state-of-the-art review of digital design and engineering analysis software and services that are currently available on the cloud. The main focus of this paper is on assessing the extent to which design and engineering analysis can already be performed based on the software and services accessed through the cloud. In addition, the key capabilities and benefits of these software packages and services are discussed. Based on the assessment of the core features of commercial CBDEA software and service packages, results suggest that almost all phases of a typical design and engineering analysis process can indeed already be conducted through cloud-based software tools and services.


1983 ◽  
Vol 27 (5) ◽  
pp. 402-406
Author(s):  
Grace P. Waldrop ◽  
L. Bruce McDonald ◽  
Elizabeth Y. Lambert ◽  
L. Robert Ogus

Human Factors practicioners can influence and support the development process of trainers only if their recommendations are accepted and implemented. This acceptance can be enhanced by using a systematic analysis process which leads to the human factors recommendations. An initial human factors analysis is described herein which supported other front-end analyses, leading to a functonal description for the Naval Battle Group Tactical Trainer.


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