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Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1331-1348 doi: 10.1007/s11709-020-0686-4

Abstract: This article proposes a novel methodology that uses mathematical and numerical models of a structure to build a data set and determine crucial nodes that possess the highest sensitivity. Regression surfaces between the structural parameters and structural output features, represented by the natural frequencies of the structure and local transmissibility, are built using the numerical data set. A description of a possible experimental application is provided, where sensors are mounted at crucial nodes, and the natural frequencies and local transmissibility at each natural frequency are determined from the power spectral density and the power spectral density ratios of the sensor responses, respectively. An inverse iterative process is then applied to identify the structural parameters by matching the experimental features with the available parameters in the myriad numerical data set. Three examples are presented to demonstrate the feasibility and efficacy of the proposed methodology. The results reveal that the method was able to accurately identify the boundary coefficients and physical parameters of the Euler-Bernoulli beam as well as a highway bridge model with elastic foundations using only two measurement points. It is expected that the proposed method will have practical applications in the identification and analysis of restored structural systems with unknown parameters and boundary coefficients.

Keywords： structural model validation     eigenvalue problem     response surface     inverse problems    

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Tribological mechanism of carbon group nanofluids on grinding interface under minimum quantity lubrication

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0733-z

Abstract: Carbon group nanofluids can further improve the friction-reducing and anti-wear properties of minimum

Keywords： grinding     minimum quantity lubrication     carbon group nanofluid     tribological mechanism    

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Reliability and variance-based sensitivity analysis of arch dams during construction and reservoir impoundment

M. Houshmand KHANEGHAHI, M. ALEMBAGHERI, N. SOLTANI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 526-541 doi: 10.1007/s11709-018-0495-1

Abstract: the sensitivity analyses for identifying critical input factors and their interaction effects on the responseis employed in this study to indicate the influence of each random variable and their interaction on varianceoutcome of this study is defining the importance of input factors in each stage and model based on the varianceof the dam response.

Keywords： concrete arch dams     reliability     randomness     improved Latin hypercube sampling     variance-based sensitivity    

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The adoption of repeated measurement of variance analysis and Shapiro–Wilk test

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 659-660 doi: 10.1007/s11684-021-0908-8

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Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 661-664 doi: 10.1007/s11684-021-0907-9

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Estimation of the minimum effective dose of tramadol for postoperative analgesia in infants using the

Yue’e Dai, Dongxu Lei, Zhenghua Huang, Yan Yin, G. Allen Finley, Yunxia Zuo

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 288-295 doi: 10.1007/s11684-012-0208-4

Abstract: However, the analgesia efficacy of tramadol, particularly its minimum effective dose (MED), is not clear

Keywords： tramadol     minimum effective dose     postoperative analgesia     infants     continual reassessment method    

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Cryogenic minimum quantity lubrication machining: from mechanism to application

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 649-697 doi: 10.1007/s11465-021-0654-2

Abstract: Environmental machining technologies, such as dry cutting, minimum quantity lubrication (MQL), and cryogenicThe latest progress of cryogenic minimum quantity lubrication (CMQL) technology is reviewed in this paper

Keywords： cryogenic minimum quantity lubrication (CMQL)     cryogenic medium     processing mode     device application    

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Modeling of the minimum cutting thickness in micro cutting with consideration of the friction around

Tianfeng ZHOU, Ying WANG, Benshuai RUAN, Zhiqiang LIANG, Xibin WANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 81-88 doi: 10.1007/s11465-019-0561-y

Abstract: Friction modeling between the tool and the workpiece plays an important role in predicting the minimumthe rake, edge, and clearance faces of the tool; and predict the stagnation point location and the minimumThen, it is applied to calculate the stagnation point location on the edge face and predict the minimumThe stagnation point and the minimum cutting thickness are also observed and illustrated in the FEM simulationMicro cutting experiments are conducted to validate the accuracy of the friction and the minimum cutting

Keywords： tool friction     minimum cutting thickness     finite element method     tool edge radius     micro cutting    

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Achieving air pollutant emission reduction targets with minimum abatement costs: An enterprise-level

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 2, doi: 10.1007/s11783-021-1459-6

Abstract:

• Quantification of efficiency and fairness of abatement allocation are optimized.

Keywords： Pollutant emission reduction allocation     Emission reduction measures     Total abatement cost     Economic efficiency     Abatement space    

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A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 54-57

Abstract: factors that affect the speed of fractal image coding , and proposes a novel idea by using the reformed varianceA theorem is proved that the IFS cannot change the image blocks' reformed variance.Moreover , it gives a novel fractal image compression method based on the reformed variance.

Keywords： fractal coding     image compression     variance    

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Nanoparticle-enhanced coolants in machining: mechanism, application, and prospects

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0769-8

Abstract: Nanoparticle-enhanced coolants (NPECs) are increasingly used in minimum quantity lubrication (MQL) machining

Keywords： nanoparticle-enhanced coolant     minimum quantity lubrication     biolubricant     thermophysical properties    

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A novel power system reconfiguration for a distribution system with minimum load balancing index using

K. Sathish KUMAR, T. JAYABARATHI

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 260-265 doi: 10.1007/s11708-012-0196-8

Abstract: In this paper, the objective of minimum load balancing index (LBI) for the 16-bus distribution system

Keywords： bacterial foraging optimization algorithm (BFOA)     distribution system     network reconfiguration     load balancing index (LBI)     radial network    

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Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks None

Feng WEI, Wei-xia ZOU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 662-673 doi: 10.1631/FITEE.1700020

Abstract: transmission cost in 5G multicast networks that have separate control and data planes, we focus on the minimum-power-costThe critical 1-cut path eliminating (C1CPE) algorithm attempts to find the minimum-cost solution for

Keywords： Network coding subgraph     Minimum power cost     5G     Separation architecture    

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Mechanical behavior and semiempirical force model of aerospace aluminum alloy milling using nano biological lubricant

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0720-4

Abstract: Aerospace aluminum alloy is the most used structural material for rockets, aircraft, spacecraft, and space stations. The deterioration of surface integrity of dry machining and the insufficient heat transfer capacity of minimal quantity lubrication have become the bottleneck of lubrication and heat dissipation of aerospace aluminum alloy. However, the excellent thermal conductivity and tribological properties of nanofluids are expected to fill this gap. The traditional milling force models are mainly based on empirical models and finite element simulations, which are insufficient to guide industrial manufacturing. In this study, the milling force of the integral end milling cutter is deduced by force analysis of the milling cutter element and numerical simulation. The instantaneous milling force model of the integral end milling cutter is established under the condition of dry and nanofluid minimal quantity lubrication (NMQL) based on the dual mechanism of the shear effect on the rake face of the milling cutter and the plow cutting effect on the flank surface. A single factor experiment is designed to introduce NMQL and the milling feed factor into the instantaneous milling force coefficient. The average absolute errors in the prediction of milling forces for the NMQL are 13.3%, 2.3%, and 7.6% in the x-, y-, and z-direction, respectively. Compared with the milling forces obtained by dry milling, those by NMQL decrease by 21.4%, 17.7%, and 18.5% in the x-, y-, and z-direction, respectively.

Keywords： milling     force     nanofluid minimum quantity lubrication     aerospace aluminum alloy     nano biological lubricant    

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Fiber-reinforced composites in milling and grinding: machining bottlenecks and advanced strategies

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0680-8

Abstract: cutting tools and technologies, including ultrasonic vibration-assisted machining, cryogenic cooling, minimum

Keywords： composites     damage formation mechanism     delamination     material removal mechanism     surface integrity     minimum    

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Title Author Date Type Operation

Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Journal Article

Tribological mechanism of carbon group nanofluids on grinding interface under minimum quantity lubrication

Journal Article

Reliability and variance-based sensitivity analysis of arch dams during construction and reservoir impoundment

M. Houshmand KHANEGHAHI, M. ALEMBAGHERI, N. SOLTANI

Journal Article

The adoption of repeated measurement of variance analysis and Shapiro–Wilk test

Journal Article

Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Journal Article

Estimation of the minimum effective dose of tramadol for postoperative analgesia in infants using the

Yue’e Dai, Dongxu Lei, Zhenghua Huang, Yan Yin, G. Allen Finley, Yunxia Zuo

Journal Article

Cryogenic minimum quantity lubrication machining: from mechanism to application

Journal Article

Modeling of the minimum cutting thickness in micro cutting with consideration of the friction around

Tianfeng ZHOU, Ying WANG, Benshuai RUAN, Zhiqiang LIANG, Xibin WANG

Journal Article

Achieving air pollutant emission reduction targets with minimum abatement costs: An enterprise-level

Journal Article

A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Journal Article

Nanoparticle-enhanced coolants in machining: mechanism, application, and prospects

Journal Article

A novel power system reconfiguration for a distribution system with minimum load balancing index using

K. Sathish KUMAR, T. JAYABARATHI

Journal Article

Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks

Feng WEI, Wei-xia ZOU

Journal Article

Mechanical behavior and semiempirical force model of aerospace aluminum alloy milling using nano biological lubricant

Journal Article

Fiber-reinforced composites in milling and grinding: machining bottlenecks and advanced strategies

Journal Article