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A regularization scheme for explicit level-set XFEM topology optimization

Markus J. GEISS, Jorge L. BARRERA, Narasimha BODDETI, Kurt MAUTE

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2, Pages 153-170 doi: 10.1007/s11465-019-0533-2

Abstract: Regularization of the level-set (LS) field is a critical part of LS-based topology optimization (TO)introduces a novel LS regularization approach based on a signed distance field (SDF) which is applicable to explicit

Keywords： level-set regularization explicit level-sets XFEM CutFEM topology optimization heat method signed distance

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Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 114-120 doi: 10.1007/s11709-014-0267-5

Abstract: critical examination of existing random field models of heterogeneous two-phase media with emphasis on level-cutThe case of random level sets, often used to represent the geometry of physical systems, is also examined

Keywords： microstructure random fields level sets shape recovery two-phase media

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A refined risk explicit interval linear programming approach for optimal watershed load reduction with

Pingjian YANG,Feifei DONG,Yong LIU,Rui ZOU,Xing CHEN,Huaicheng GUO

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1, Pages 129-140 doi: 10.1007/s11783-014-0683-8

Abstract: To enhance the effectiveness of watershed load reduction decision making, the Risk Explicit Interval

Keywords： refined risk explicit interval linear programming decision making objective-constraint uncertainty tradeoff aspiration level Lake Qionghai Watershed

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A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 32-36

Abstract: presented for dealing with uncertain and imprecise problems, based on the difference between fuzzy setsand rough sets theories.analysis, to make a decision table specified,and then to simplify the decision table by means of the rough sets

Keywords： fuzzy clustering rough sets decision table decision rule

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Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly

Huchang LIAO, Yinghan CHANG, Di WU, Xunjie GOU

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 196-203 doi: 10.1007/s42524-019-0038-z

Abstract: To increase the effectiveness of QFD, we propose an improved method based on Pythagorean fuzzy sets (

Keywords： quality function deployment Pythagorean fuzzy sets group consensus combined weights assembly robot design

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Explicit optimization method for cutting-screw-thread on the basis of dual-RSM

Zhengbao LEI, Shubin WEI, Qingyun DU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 423-430 doi: 10.1007/s11465-010-0109-7

Abstract: To obtain the explicit function for optimizing the cutting-screw-thread (CST) in crash, the simulationsThird, the explicit resultant peak acceleration function of six parameters by using RSM again is obtainedA dual RSM-based explicit method is proposed.

Keywords： vehicle engineering crash safety explicit method response surface method

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Noise control technology for generator sets in enclosures

ZHANG Nailong, YANG Wentong, FEI Renyuan

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4, Pages 377-384 doi: 10.1007/s11465-008-0051-0

Abstract: The health and life of human beings are affected by loud noise from high power generator sets.

Keywords： equipment generator sound-attenuated enclosure convenient Enclosure development

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A Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Strategic Study of CAE 2006, Volume 8, Issue 12, Pages 75-79

Abstract:

A method of multi-sensor information fusion based on rough sets and fuzzy logic is proposed in thismodel can be built by obtaining general simplified rules from the large number of data using rough sets

Keywords： information fusion rough sets fuzzy logic rough-fuzzy model

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An Intelligent Expert System on Rough Sets

Zeng Huanglin

Strategic Study of CAE 2001, Volume 3, Issue 2, Pages 47-51

Abstract: topology, knowledge representation and inductive learning of an intelligent expert system on rough sets

Keywords： rough sets intelligent expert system indiscernibility relation knowledge expression simplification decision

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A Rough Fuzzy Neural Classifier

Zeng Huanglin,Wang Xiao

Strategic Study of CAE 2003, Volume 5, Issue 12, Pages 60-65

Abstract:

In this paper, the concepts of rough sets are used to define equivalence classes encoding input datasets, and eliminate redundant or insignificant attributes in data sets so that to reduce the complexity

Keywords： fuzzy sets rough sets neural networks pattern classification

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A New Explicit Equation for Calculating the Friction Factor for the Turbulent Flow in Pipes

Wang Yong,Yuan Qi

Strategic Study of CAE 2006, Volume 8, Issue 6, Pages 83-88

Abstract: method for binary nonlinear polynomials was presented in order to obtain a high precise and simple form explicitFitting the data calculated by Colebrook equation with the above method, a new explicit equation for

Keywords： turbulent flow friction factor implicit Colebrook equation genetic algorithms intelligent fitting method explicit

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An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 163-182 doi: 10.1007/s42524-019-0017-4

Abstract: Due to the characteristics of hesitant fuzzy sets (HFSs), one hesitant fuzzy element (HFE), which is

Keywords： hesitant fuzzy set hesitant fuzzy preference relation group decision-making

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Vibration Fault Diagnosis for Large Scale Steam Turbine Sets

Yu Wenhu,Song bin

Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 44-50

Abstract: System of performance and vibration remote monitoring and diagnosis for large-scale steam turbine sets

Keywords： steam turbine sets fault diagnosis vibration performance diagnosis

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The Synthetic Assessment for Systematic Safety Based on Vag ue Sets

Liu Aihua,Shi Shiliang,Wuchao

Strategic Study of CAE 2007, Volume 9, Issue 3, Pages 58-61

Abstract: Fuzzy synthetic assessment can only solve ambiguousness problem from front, but Vague sets haveFrom this, this paper suggests that Vague sets be used in the synthetic assessment, then determines thewith improved AHP, and establishes the synthetic assessment model for systematic safety based on Vague sets

Keywords： systematic safety Vague sets synthetic assessment the weight

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Explicit–Implicit Co-Simulation Techniques for Dynamic Responses of a Passenger Car on Arbitrary Road Article

Hongzhou Hu, Zhihua Zhong

Engineering 2019, Volume 5, Issue 6, Pages 1171-1178 doi: 10.1016/j.eng.2019.09.003

Abstract: The investigations are based on an explicit–implicit approach in which substructure techniquesTire–road interactions are modeled in the explicit package with contact-impact interfaces withIt can be concluded that the explicit–implicit co-simulation techniques used here are efficient

Keywords： Durability study Dynamic responses Passenger car Explicit–implicit co-simulation Contact-impact