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On the added value of multi-scale modeling of concrete

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 1-23 doi: 10.1007/s11709-021-0790-0

Abstract: This review of the added value of multi-scale modeling of concrete is based on three representative examplesThe structural nature of the high-dynamic strength increase can be explained by using a multi-scale modelThe second example refers to multi-scale thermoelastic analysis of concrete pavements, subjected to solarThe third example deals with multi-scale structural analysis of a real-scale test of a segmental tunnelOverall, it is concluded that multi-scale models have indeed a significant added value.

Keywords： experiments multi-scale analysis conventional structural analysis concrete reinforced concrete

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Environmental dispersivity in free-water-surface-effect dominated wetland: multi-scale analysis

Zi WU, Zhi LI, Li ZENG, Ling SHAO, Hansong TANG, Qing YANG, Guoqian CHEN

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4, Pages 597-603 doi: 10.1007/s11783-011-0311-9

Abstract: the most-typical pattern of wetland as dominated by free-water-surface-effect is characterized by a multi-scaleevolution of the mean concentration is deduced as an extension of Taylor's classical formulation by Mei’s multi-scale

Keywords： free-surface wetland environmental dispersion multi-scale analysis

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DDUC: an erasure-coded system with decoupled data updating and coding Research Article

Xiang LI, Yibing LI, Chunrui TANG, Yingsong LI,chunruitang@126.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 5, Pages 742-758 doi: 10.1631/FITEE.2200253

Abstract: accuracy of the modulated signal at low signal-to-noise ratios, we have designed a novel network of multi-scaleflexible self-learning capability for different noise thresholds and the effectiveness of the designed featurefusion module in multi-scale feature acquisition for various modulation types.

Keywords： Signal noise elimination Deep adaptive threshold learning network Multi-scale feature fusion Modulation

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Hydromechanical model for hydraulic fractures using XFEM

Bo HE

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 240-249 doi: 10.1007/s11709-018-0490-6

Abstract: Finally, examples are presented to demonstrate the versatility and efficiency of this two-scale hydromechanical

Keywords： multi-phase medium porous fracture multi-scale method

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A multi-scale model for CO

G. X. WANG, X. R. WEI, V. RUDOLPH, C. T. WEI, Y. QIN

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 1, Pages 20-25 doi: 10.1007/s11705-009-0138-0

Abstract: This paper presents a multi-scale model to simulate the multicomponent gas diffusion and flow in bulk

Keywords： multi-scale model gas transport coal coalbed methane CO₂ sequestration

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Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 121-140 doi: 10.1007/s11709-015-0290-1

Abstract: The spatial variability of stress fields resulting from polycrystalline aggregate calculations involving random grain geometry and crystal orientations is investigated. A periodogram-based method is proposed to identify the properties of homogeneous Gaussian random fields (power spectral density and related covariance structure). Based on a set of finite element polycrystalline aggregate calculations the properties of the maximal principal stress field are identified. Two cases are considered, using either a fixed or random grain geometry. The stability of the method w.r.t the number of samples and the load level (up to 3.5% macroscopic deformation) is investigated.

Keywords： polycrystalline aggregates crystal plasticity random fields spatial variability correlation structure

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Multi-scale investigation of active failure for various modes of wall movement

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 961-979 doi: 10.1007/s11709-021-0738-4

Abstract: Hence, mechanical understanding of the problem warrants multi-scale analyses that investigate reciprocalAccordingly, this study attempts a multi-scale examination of failure evolution in cohesionless backfills

Keywords： discrete-element modelling granular materials retaining walls particle shape arching

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Multi-scale evaluation of river health in Liao River Basin, China

Fei XU, Yanwei ZHAO, Zhifeng YANG, Yuan ZHANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2, Pages 227-235 doi: 10.1007/s11783-010-0219-9

Abstract: Previous studies on river health evaluation mainly focused on characterizations at a river-corridor scaleof the interactions among rivers, associated river basin and habitats, an assessment framework with multi-scaleSet pair analysis was applied to integrate the multi-scale indicators and determine the health classes

Keywords： multi-scale characterization river health evaluation Liao River Basin set pair analysis

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Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z

Abstract: energy operator (EO) and its variants have received considerable attention in the field of bearing fault featureTo address these issues, this paper presents a novel EO fusion strategy for enhancing the bearing faultfeature nonlinearly and effectively.First, a multi-dimensional information matrix (MDIM) is constructed by performing the higher order energyverifications confirm that the proposed strategy is more effective for enhancing the bearing fault feature

Keywords： higher order energy operator fault diagnosis manifold learning rolling element bearing information fusion

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Macro-architectured cellular materials: Properties, characteristic modes, and prediction methods

Zheng-Dong MA

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3, Pages 442-459 doi: 10.1007/s11465-018-0488-8

Abstract:

Macro-architectured cellular (MAC) material is defined as a class of engineered materials having configurable cells of relatively large (i.e., visible) size that can be architecturally designed to achieve various desired material properties. Two types of novel MAC materials, negative Poisson’s ratio material and biomimetic tendon reinforced material, were introduced in this study. To estimate the effective material properties for structural analyses and to optimally design such materials, a set of suitable homogenization methods was developed that provided an effective means for the multiscale modeling of MAC materials. First, a strain-based homogenization method was developed using an approach that separated the strain field into a homogenized strain field and a strain variation field in the local cellular domain superposed on the homogenized strain field. The principle of virtual displacements for the relationship between the strain variation field and the homogenized strain field was then used to condense the strain variation field onto the homogenized strain field. The new method was then extended to a stress-based homogenization process based on the principle of virtual forces and further applied to address the discrete systems represented by the beam or frame structures of the aforementioned MAC materials. The characteristic modes and the stress recovery process used to predict the stress distribution inside the cellular domain and thus determine the material strengths and failures at the local level are also discussed.

Keywords： architectured material cellular materials multi-scale modeling homogenization method effective material

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Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12, Pages 1069-1087 doi: 10.1631/FITEE.1400423

Abstract: features from multi-scale, multi-directional perspective, which influences the reconstruction performanceIn this paper, incorporating the superior multi-scale properties of uniform discrete curvelet transformMulti-scale decomposition is implemented by using UDCT due to its prominent properties of lower redundancyEach sub-dictionary of different sub-bands is trained independently to form the multi-scale dictionariesMulti-scale UDCT dictionaries potentially outperform both single-scale trained dictionaries and multi-scale

Keywords： Compressed sensing (CS) Magnetic resonance imaging (MRI) Uniform discrete curvelet transform (UDCT) Multi-scale

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Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0737-8

Abstract: This study proposes a method to determine the build orientation of multi-feature mechanical parts (MFMPsLastly, a multi-objective decision making method integrated by the technique for order of preferenceThe weights of the feature groups and considered objectives are achieved by a fuzzy analytical hierarchyThe measured average sampling surface roughness of the most crucial feature of the bracket in the original

Keywords： selective laser melting (SLM) build orientation determination multi-feature mechanical part (MFMP) fuzzy analytical hierarchy process multi-objective decision making (MODM)

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The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Strategic Study of CAE 2003, Volume 5, Issue 4, Pages 61-64

Abstract: detect image edges on the basis of wavelet transform and then designs the detecting algorithm of the multi-scale

Keywords： wavelet transform multi-scale edges detection

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A Face Recognition Based on Fusion Features Extraction From Two Kinds of Projection

Zhang Shengliang,Xu Yong,Yang Jian,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 8, Pages 50-55

Abstract: Then the fusion features in the complex feature space is extracted by using complex PCA (CPCA).

Keywords： feature fusion linear discriminant analysis (LDA) feature extraction face recognition

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Contact detection with multi-information fusion for quadruped robot locomotion under unstructured terrain

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0760-4

Abstract: detection for quadruped robots, a detection approach based on the probabilistic contact model with multi-informationfusion is presented to detect the actual contact states of robotic feet with the ground.

Keywords： multi-information fusion contact detection quadruped robot probabilistic contact model unstructured