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Uncertainty propagation analysis by an extended sparse grid technique

X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 33-46 doi: 10.1007/s11465-018-0514-x

Abstract: In this paper, an uncertainty propagation analysis method is developed based on an extended sparse gridThe proposed method incorporates the extended Gauss integration into the uncertainty propagation analysisMoreover, assisted by the Rosenblatt transformation, the various types of extended integration pointsare transformed into the extended Gauss-Hermite integration points, which makes the method suitableSubsequently, within the sparse grid numerical integration framework, the statistical moments of the

Keywords： uncertainty propagation analysis     extended sparse grid     maximum entropy principle     extended Gauss integration    

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Asystematic review of structured sparse learning Review

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 445-463 doi: 10.1631/FITEE.1601489

Abstract: from diverse scientific research fields and industrial development have led to increased interest in sparseStructured sparse learning encodes the structural information of the variables and has been quite successfulThese regularizations have greatly improved the efficacy of sparse learning algorithms through the useIn this article, we present a systematic review of structured sparse learning including ideas, formulationsimplementations, and compare the computational complexity of typical optimization methods to solve structured sparse

Keywords： Sparse learning     Structured sparse learning     Structured regularization    

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Sparse fast Clifford Fourier transform Article

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1131-1141 doi: 10.1631/FITEE.1500452

Abstract: The sparse fast Fourier transform (sFFT) theory deals with the big data problem by using input data selectivelyThis has inspired us to create a new algorithm called sparse fast CFT (SFCFT), which can greatly improve

Keywords： Sparse fast Fourier transform (sFFT)     Clifford Fourier transform (CFT)     Sparse fast Clifford Fourier    

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Non-convex sparse optimization-based impact force identification with limited vibration measurements

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2

Abstract: mn> regularization method often struggles to generate sparseMJX-TeXAtom-ORD">ℓ1 sparseTo alleviate such limitations, a novel non-convex sparse regularization method that uses the non-convexrealize simultaneous impact localization and time history reconstruction with an under-determined, sparse

Keywords： impact force identification     inverse problem     sparse regularization     under-determined condition     alternating    

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Thermo-elastic extended meshfree method for fracture without crack tip enrichment

A. ASADPOUR

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 4,   Pages 441-447 doi: 10.1007/s11709-015-0319-5

Abstract: This is the first manuscript presenting an extended meshfree method for thermo- elastic fracture which

Keywords： meshfree method     thermo-elasticity    

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Concurrent fatigue crack growth simulation using extended finite element method

Zizi LU, Yongming LIU,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 339-347 doi: 10.1007/s11709-010-0078-2

Abstract: growth analysis is proposed using a novel small time scale model for fatigue mechanism analysis and the extended

Keywords： small time scale model     extended finite element method (X-FEM)     crack growth     multiaxial    

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Significant progress in solution of nonlinear equations at displacement of structure and heat transfer extended

M. R. AKBARI,D. D. GANJI,M. NIMAFAR,A. R. AHMADI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 390-401 doi: 10.1007/s11465-014-0313-y

Abstract:

In this paper, we aim to promote the capability of solving two complicated nonlinear differential equations: 1) Static analysis of the structure with variable cross section areas and materials with slope-deflection method; 2) the problem of one dimensional heat transfer with a logarithmic various surface A(x) and a logarithmic various heat generation G(x) with a simple and innovative approach entitled “Akbari-Ganji’s method” (AGM). Comparisons are made between AGM and numerical method, the results of which reveal that this method is very effective and simple and can be applied for other nonlinear problems. It is significant that there are some valuable advantages in this method and also most of the differential equations sets can be answered in this manner while in other methods there is no guarantee to obtain the good results up to now. Brief excellences of this method compared to other approaches are as follows: 1) Differential equations can be solved directly by this method; 2) without any dimensionless procedure, equation(s) can be solved; 3) it is not necessary to convert variables into new ones. According to the aforementioned assertions which are proved in this case study, the process of solving nonlinear equation(s) is very easy and convenient in comparison to other methods.

Keywords： AGM     extended surface     heat transfer     slope-deflection method    

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Laplacian sparse dictionary learning for image classification based on sparse representation Article

Fang LI, Jia SHENG, San-yuan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1795-1805 doi: 10.1631/FITEE.1600039

Abstract: Sparse representation is a mathematical model for data representation that has proved to be a powerfulAs one of the building blocks of the sparse representation method, dictionary learning plays an importantWe incorporate the Laplacian weighted graph in the sparse representation model and impose the l1-normAn LSD is a sparse overcomplete dictionary that can preserve the intrinsic structure of the data andcompare the proposed method with other methods using three benchmark-controlled face image databases, Extended

Keywords： Sparse representation     Laplacian regularizer     Dictionary learning     Double sparsity     Manifold    

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Sensorless direct torque control for salient-pole PMSM based on extended Kalman filter fed by AC/DC/AC

F. BENCHABANE, A. TITAOUINE, O. BENNIS, K. YAHIA, D. TAIBI, A. GUETTAF

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 247-254 doi: 10.1007/s11708-012-0190-1

Abstract: this paper, a new sensorless interior permanent magnet synchronous motor (IPMSM) drives method with extended

Keywords： direct torque control (DTC)     sensorless control     extended Kalman filter (EKF)     permanent magnet synchronous    

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Optimal placement of PMUs for the smart grid implementation in Indian power grid—A case study

Pathirikkat GOPAKUMAR, G. Surya CHANDRA, M. Jaya Bharata REDDY, Dusmata Kumar MOHANTA

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 358-372 doi: 10.1007/s11708-013-0257-7

Abstract: The concept of smart grid (SG) can provide a highly reliable power system with optimized utilizationThe present Indian power grid requires revolutionary changes to meet the growing demands and to makethe grid smarter and reliable.for SG is the instantaneous monitoring of the voltage, current and power flows at all buses in the gridThis paper proposes the optimal geographical locations for the PMUs in southern region Indian power grid

Keywords： phasor measurement units (PMUs)     smart grid (SG)     southern region Indian power grid (SRIPG)     integer linear    

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Optimal redundant placement of PMUs in Indian power grid — northern, eastern and north-eastern regions

Pathirikkat GOPAKUMAR, G. Surya CHANDRA, M. Jaya Bharata REDDY, Dusmata Kumar MOHANTA

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 413-428 doi: 10.1007/s11708-013-0274-6

Abstract: This can be envisioned through the implementation of concepts of smart grid (SG).One of the key requisites for SG implementation is that the grid should be completely observable.Renovation of conventional Indian power grid to a SG necessitates incorporation of the phasor measurementunits (PMUs) in the present power grid measurement and monitoring system.The results proposed in this paper can be a stepping stone for revamping the Indian power grid to a SG

Keywords： phasor measurement unit (PMU)     smart grid (SG)     Indian power grid     northern region Indian power grid (NRIPG)     eastern region Indian power grid (ERIPG)     north-eastern region Indian power grid (NERIPG)     redundancy    

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An extended thermo-mechanically coupled algorithm for simulation of superelasticity and shape memory

S. HASHEMI,H. AHMADIAN,S. MOHAMMADI

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 4,   Pages 466-477 doi: 10.1007/s11709-015-0300-3

Abstract: Thermo-mechanical coupling in shape memory alloys is a very complicated phenomenon. The heat generation/absorption during forward/reverse transformation can lead to temperature-dependent variation of its mechanical behavior in the forms of superelasticity and shape memory effect. However, unlike the usual assumption, slow loading rate cannot guarantee an isothermal process. A two-dimensional thermo-mechanically coupled algorithm is proposed based on the original model of Lagoudas to efficiently model both superelasticity and shape memory effects and the influence of various strain rates, aspect ratios and boundary conditions. To implement the coupled model into a finite element code, a numerical staggered algorithm is employed. A number of simulations are performed to verify the proposed approach with available experimental and numerical data and to assess its efficiency in solving complex SMA problems.

Keywords： shape memory alloy     thermo-mechanical coupling     superplasticity     shape memory effect    

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acid on natural magnetite and siderite: Evidence from sorption kinetics, sequential extraction and extended

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1547-2

Abstract:

• DPAA sorption followed pseudo-secondary and intra-particle diffusion models.

Keywords： Diphenylarsinic acid (DPAA)     Sorption     Magnetite     Siderite     Sequential extraction     EXAFS    

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Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 389-402 doi: 10.1631/FITEE.1500385

Abstract: In particular, the sparse and noisy nature of social media data poses serious challenges in pinpointingknowledge, this is the first time home location has been detected at such a fine granularity using sparse

Keywords： Home location     Mobility patterns     Healthcare    

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Optimal design analysis of a tubular heat exchanger network with extended surfaces using multi-objective

Hassan HAJABDOLLAHI, Mohammad SHAFIEY DEHAJ, Babak MASOUMPOUR, Mohammad ATAEIZADEH

Frontiers in Energy 2022, Volume 16, Issue 5,   Pages 862-875 doi: 10.1007/s11708-022-0839-3

Abstract: The present work aims to investigate the influence of extended surfaces (fins) on the multi-objectiveAn increase in the heat transfer area using various extended surfaces (fins) to enhance the performance

Keywords： constructal theory     extended surface     effectiveness     total heat transfer area     multi-objective optimization    

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Title Author Date Type Operation

Uncertainty propagation analysis by an extended sparse grid technique

X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING

Journal Article

Asystematic review of structured sparse learning

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Journal Article

Sparse fast Clifford Fourier transform

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Journal Article

Non-convex sparse optimization-based impact force identification with limited vibration measurements

Journal Article

Thermo-elastic extended meshfree method for fracture without crack tip enrichment

A. ASADPOUR

Journal Article

Concurrent fatigue crack growth simulation using extended finite element method

Zizi LU, Yongming LIU,

Journal Article

Significant progress in solution of nonlinear equations at displacement of structure and heat transfer extended

M. R. AKBARI,D. D. GANJI,M. NIMAFAR,A. R. AHMADI

Journal Article

Laplacian sparse dictionary learning for image classification based on sparse representation

Fang LI, Jia SHENG, San-yuan ZHANG

Journal Article

Sensorless direct torque control for salient-pole PMSM based on extended Kalman filter fed by AC/DC/AC

F. BENCHABANE, A. TITAOUINE, O. BENNIS, K. YAHIA, D. TAIBI, A. GUETTAF

Journal Article

Optimal placement of PMUs for the smart grid implementation in Indian power grid—A case study

Pathirikkat GOPAKUMAR, G. Surya CHANDRA, M. Jaya Bharata REDDY, Dusmata Kumar MOHANTA

Journal Article

Optimal redundant placement of PMUs in Indian power grid — northern, eastern and north-eastern regions

Pathirikkat GOPAKUMAR, G. Surya CHANDRA, M. Jaya Bharata REDDY, Dusmata Kumar MOHANTA

Journal Article

An extended thermo-mechanically coupled algorithm for simulation of superelasticity and shape memory

S. HASHEMI,H. AHMADIAN,S. MOHAMMADI

Journal Article

acid on natural magnetite and siderite: Evidence from sorption kinetics, sequential extraction and extended

Journal Article

Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Journal Article

Optimal design analysis of a tubular heat exchanger network with extended surfaces using multi-objective

Hassan HAJABDOLLAHI, Mohammad SHAFIEY DEHAJ, Babak MASOUMPOUR, Mohammad ATAEIZADEH

Journal Article