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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)

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

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    

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    

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    

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    

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    

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    

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    

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    

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    

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    

for redesigning sustainable cropping systems: the value of data-mining large and detailed farm data setsat the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceand their effect on farm performance, we advocate further investment in the development of large data sets

Keywords: data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 42-46

Abstract:

A fuzzy neural network based on rough sets is presented in this paper.First, a set of rough rules are found from the given training data by using rough sets theory, then the

Keywords: rough sets     fuzzy logic     neural network     rules extracted    

The effect of sea level rise on beach morphology of caspian sea coast

M. A. Lashteh NESHAEI, F. GHANBARPOUR

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4,   Pages 369-379 doi: 10.1007/s11709-017-0398-6

Abstract: Bed level elevations are measured and compared with the theoretical equilibrium profile.In the next stage, following extensive investigations, the bed level changes due to arise in sea levelThe mechanism of beach re-treatment due to a rise in sea level is considered based on the simplifiedComparison of the equilibrium profiles for different cases of sea level rise, clearly shows that becauseof the sediment transport induced by the fluctuation of the water level, the beach profile in the surf

Keywords: wave     coastal zone     beach morphology     evolution     equilibrium profile     sea level rise    

Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 390-405 doi: 10.1007/s11465-020-0588-0

Abstract: The level set method (LSM), which is transplanted from the computer graphics field, has been successfullyIn this study, a level set band method is proposed to overcome this drawback in handling topology changesin the level set framework.improve the continuity of objective and constraint functions by incorporating one parameter, namely, levelThe proposed method demonstrates a flexible topology change by applying a certain size of the level set

Keywords: level set method     topology optimization     density-based method     level set band    

Title Author Date Type Operation

A regularization scheme for explicit level-set XFEM topology optimization

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

Journal Article

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

George STEFANOU

Journal Article

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

Luo Dang

Journal Article

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

Huchang LIAO, Yinghan CHANG, Di WU, Xunjie GOU

Journal Article

Noise control technology for generator sets in enclosures

ZHANG Nailong, YANG Wentong, FEI Renyuan

Journal Article

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

Chen Shuangye,Zhang Weijing

Journal Article

An Intelligent Expert System on Rough Sets

Zeng Huanglin

Journal Article

A Rough Fuzzy Neural Classifier

Zeng Huanglin,Wang Xiao

Journal Article

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

Zeshui XU, Shen ZHANG

Journal Article

Vibration Fault Diagnosis for Large Scale Steam Turbine Sets

Yu Wenhu,Song bin

Journal Article

The Synthetic Assessment for Systematic Safety Based on Vag ue Sets

Liu Aihua,Shi Shiliang,Wuchao

Journal Article

for redesigning sustainable cropping systems: the value of data-mining large and detailed farm data setsat the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Journal Article

The effect of sea level rise on beach morphology of caspian sea coast

M. A. Lashteh NESHAEI, F. GHANBARPOUR

Journal Article

Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Journal Article