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The application of marine meteorological observation in tropical cyclone data assimilation

Wan Qilin,He Jinhai

Strategic Study of CAE 2012, Volume 14, Issue 10, Pages 33-42

Abstract: In this paper, the multi scale/block batch wise data assimilation is suggested to perform the test oftropical cyclone data assimilation.The results show: the multi scale/block batch wise data assimilation can be appropriate for the dataassimilation of tropical cyclone multi scale circulation, satisfy with the flow dependent backgroundBy means of the multi scale/block batch wise data assimilation, to amplify the utilization of marine

Keywords： marine meteorological observation the efficiency of data utilization multi scale/block batch wise data

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SWMM-based methodology for block-scale LID-BMPs planning based on site-scale multi-objective optimization

Te Xu, Haifeng Jia, Zheng Wang, Xuhui Mao, Changqing Xu

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0934-6

Abstract: A new methodology based on stormwater management model (SWMM) for block-scale LID-BMPs planning was developedThis method integrated LID-BMP chain layout optimization in site-scale parcels with scenario analysisin the entire block-scale urban area.sorting genetic algorithm (NSGA-II) was successfully coupled to SWMM through Python to complete the site-scaleA multi-index evaluation that considered runoff quantity indices, pollutant loads, and construction costs

Keywords： Stormwater management LID-BMPs planning SWMM LID-BMP chain NSGA-II Scenario analysis

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influence of aging processes on zero-valent iron modified biochar in copper(II) immobilization: from batchsolution to pilot-scale investigation

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 7, Pages 880-892 doi: 10.1007/s11705-022-2282-8

Abstract: The surface interactions were assigned with chemisorption occurred on multi-molecular layers, which were

Keywords： zero-valent iron modified biochar aging processes copper removal adsorption pilot-scale experiments

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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 first one is concerned with the analysis of experimental data, taken from four high-dynamic testsThe structural nature of the high-dynamic strength increase can be explained by using a multi-scale modelThe 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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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: With the promotion of “dual carbon” strategy, data center (DC) access to high-penetration renewable energyIn this paper, a multi-timescale optimal scheduling model is established for interconnected data centersaims at the lowest power fluctuation, eliminating the impact of prediction errors through coordinated multi-timescale

Keywords： model predictive control interconnected data center multi-timescale optimized scheduling distributed

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A chemometric analysis on the fluorescent dissolved organic matter in a full-scale sequencing batch reactor

Chen Qian, Wei Chen, Wei-Hua Li, Han-Qing Yu

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0962-2

Abstract: the present work, both PARAFAC and PFFCA were used to analyze the EEMs of water samples from a full-scale

Keywords： Wastewater treatment plants (WWTPs) Excitation-emission matrix (EEM) Parallel factor (PARAFAC) Parallel factor framework-clustering analysis (PFFCA)

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Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4

Abstract: previous fault diagnosis methods only used vibration or pressure signal, and literatures related to multi-sensordata fusion for the pump fault diagnosis are limited.This paper presents an end-to-end multi-sensor data fusion method for the fault diagnosis of axial pistonResults show that the proposed multi-sensor data fusion method greatly improves the fault diagnosis of

Keywords： axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion

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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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Multi-time scale dynamics in power electronics-dominated power systems

Xiaoming YUAN, Jiabing HU, Shijie CHENG

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3, Pages 303-311 doi: 10.1007/s11465-017-0428-z

Abstract:

Electric power infrastructure has recently undergone a comprehensive transformation from electromagnetics to semiconductors. Such a development is attributed to the rapid growth of power electronic converter applications in the load side to realize energy conservation and on the supply side for renewable generations and power transmissions using high voltage direct current transmission. This transformation has altered the fundamental mechanism of power system dynamics, which demands the establishment of a new theory for power system control and protection. This paper presents thoughts on a theoretical framework for the coming semiconducting power systems.

Keywords： power electronics power systems multi-time scale dynamics mass-spring-damping model self-stabilizingand en-stabilizing property multi-time scale power system stabilizer

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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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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 bulkThe model was validated by both experimental data from literature and our CO flush tests, and shows

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

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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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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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Research Progress of Design Theory and Simulation of Composite Components

Tao Ran, He Chunwang, Luo Junrong, Mao Yiqi, Ma Lianhua

Strategic Study of CAE 2023, Volume 25, Issue 1, Pages 121-130 doi: 10.15302/J-SSCAE-2023.07.008

Abstract: Therefore，the large-scale application of composite components in major equipment can hardly be realizedand proposes the key directions in China：design theory of composite components under extreme and multi-fieldenvironment，dynamic analysis and design theory of composite components，data-driven simulation methodWe suggest that research should be conducted on multi-field and multi-scale design technology ofengineering applications，performance design technology of composite components under dynamic load，data-driven

Keywords： composite material components multi-field and multi-scale design dynamic design data-driven simulation

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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