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Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 852-862 doi: 10.1007/s11709-019-0522-x

Abstract: result is independent from any assumptions on stochastic properties of the random variables in the modelTo reduce the computational cost, a ranking strategy and an approximation model are further involved

Keywords： arch dam shape optimization robust optimization load uncertainty approximation model

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Modeling of large-deflection links for compliant mechanisms

Zhonglei FENG, Yueqing YU, Wenjing WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3, Pages 294-301 doi: 10.1007/s11465-010-0019-8

Abstract: The traditional pseudo-rigid-body model (PRBM) has one degree of freedom (DOF) and performs a good simulationto the tip locus of flexible links for compliant mechanisms on the basis of a parametric approximationdeflection angle of large-deflection links for compliant mechanisms on the basis of the angular deflection approximationThe advantage of the new model is well illustrated through a numerical comparison between the 1R and

Keywords： compliant mechanism pseudo-rigid-body model (PRBM) large-deflection link angular deflection approximation

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A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 338-347 doi: 10.15302/J-FEM-2017032

Abstract: Deterministic equivalent model with nonanticipativity constraints, branch-and-fix coordination, sampleaverage approximation (SAA) with Bayesian bootstrap, and Latin hypercube sampling were adopted to analyze

Keywords： supply chain network stochastic demand sampling average approximation Bayesian bootstrap Latin hypercube

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Shape reconstruction of parallelogram flaw

ZHENG Gangfeng, WU Bin, HE Cunfu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1, Pages 17-22 doi: 10.1007/s11465-008-0015-4

Abstract: To reconstruct the shape of the scatterer in elastic media, the authors deduce the Born approximationidentification of the geometrical character of a flaw is then given by the two dimensional inverse Born approximation

Keywords： approximation scatterer scattering problem information inverse

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Approximation Space of Generalization and Rough Classification Algebra

Liu Yonghong

Strategic Study of CAE 2006, Volume 8, Issue 3, Pages 39-48

Abstract:

Some new basic concepts are proposed in this paper, including the approximation space of generalization, rough approximation axiom, disturbance set axiom, classification principle of rough set, principle

Keywords： approximation space of generalization rough set rough classification algebra protocol relation rough

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Galerkin approximationwith Legendre polynomials for a continuous-time nonlinear optimal control problem Article

Xue-song CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1479-1487 doi: 10.1631/FITEE.1601101

Abstract: We investigate the use of an approximation method for obtaining near-optimal solutions to a kind of nonlinearThe approach derived from the Galerkin approximation is used to solve the generalized Hamilton-Jacobi-BellmanThe Galerkin approximation with Legendre polynomials (GALP) for GHJB equations has not been applied to

Keywords： Generalized Hamilton-Jacobi-Bellman equation Nonlinear optimal control Galerkin approximation Legendre

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The Model for Loan Portfolio With Safety-first Criterion

Tang Wansheng,Yan Weizhen,Ning Yufu

Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 137-141

Abstract:

This paper proposes the model for loan portfolio under probability criterion, and designs the hybrid optimization algorithm based on random simulation to solve the model.

Keywords： safety-first criterion random simulation genetic algorithm(GA) simultaneousperturbation stochastic approximation

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Meeting deadlines for approximation processing in MapReduce environments Article

Ming-hao HU, Chang-jian WANG, Yu-xing PENG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1754-1772 doi: 10.1631/FITEE.1601056

Abstract: To provide timely results for big data analytics, it is crucial to satisfy deadline requirements for MapReduce jobs in today’s production environments. Much effort has been devoted to the problem of meeting deadlines, and typically there exist two kinds of solutions. The first is to allocate appropriate resources to complete the entire job before the specified time limit, where missed deadlines result because of tight deadline constraints or lack of resources; the second is to run a pre-constructed sample based on deadline constraints, which can satisfy the time requirement but fail to maximize the volumes of processed data. In this paper, we propose a deadline-oriented task scheduling approach, named ‘Dart’, to address the above problem. Given a specified deadline and restricted resources, Dart uses an iterative estimation method, which is based on both historical data and job running status to precisely estimate the real-time job completion time. Based on the estimated time, Dart uses an approach–revise algorithm to make dynamic scheduling decisions for meeting deadlines while maximizing the amount of processed data and mitigating stragglers. Dart also efficiently handles task failures and data skew, protecting its performance from being harmed. We have validated our approach using workloads from OpenCloud and Facebook on a cluster of 64 virtual machines. The results show that Dart can not only effectively meet the deadline but also process near-maximum volumes of data even with tight deadlines and limited resources.

Keywords： MapReduce Approximation jobs Deadline Task scheduling Straggler mitigation

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2, Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: In the presence of a mathematical model of the damping mechanisms, it is possible to estimate the dampingIn this paper model-based damping approximation method and a model-less structural input estimation areConsequently, high convergence of the comparison results illustrates the satisfactory of proposed approximation

Keywords： structural modal parameters damping identification method input excitation force identification Inverse problem

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3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 103-107

Abstract: An approach of complex geological surface reconstruction which combines interpolation with approximationFor the discrete data in the peripheral region, NURBS approximation fitting method is used to construct

Keywords： geological surface interpolation-approximation fitting 3D construction multi-source geological data

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Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Frontiers in Energy 2008, Volume 2, Issue 1, Pages 116-120 doi: 10.1007/s11708-008-0019-0

Abstract: It shows that the wavelet approximation indicates the general pressure change in the furnace, and the

Keywords： comparison wavelet approximation pressure transducer general pressure consistent

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Nonlinear dynamics of a wind turbine tower

A. GESUALDO, A. IANNUZZO, F. PENTA, M. MONACO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 3, Pages 342-350 doi: 10.1007/s11465-019-0524-3

Abstract: The procedure’s model is applied to a wind turbine tower subjected to inertial forces generated by harmonic

Keywords： nonlinear dynamics plastic shear failure modal approximation time history

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Approximating Characteristics of Fuzzy Systems With Arbitrary Membership Function

Zhang Zhao,Pei Yanling,Zheng Aihong

Strategic Study of CAE 2005, Volume 7, Issue 8, Pages 47-50

Abstract:

While quadrilateral membership function is used as general membership function, Stone-Weierstrass theorem is utilized to prove that fuzzy systems with arbitrary membership functions are capable of approximating any continuous function on a compact set. It is a generalization for theory of basic fuzzy systems approximating any continuous non-linear function. The performance of fuzzy systems to approximate random non-linear function is the theoretical basis of fuzzy system's application in system identification.

Keywords： fuzzy system membership function approximation

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Analysis and design of pulse frequency modulation dielectric barrier discharge for low power applications

Tang-tang GUO,Xing-liang LIU,Shi-qiang HAO,Chi ZHANG,Xiang-ning HE

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3, Pages 249-258 doi: 10.1631/FITEE.1400185

Abstract: The rectifier-compensated first harmonic approximation (RCFHA) is applied to linearize the equivalent

Keywords： Dielectric barrier discharge Rectifier-compensated first harmonic approximation Parasitic capacitance

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Some Theoretical Issues on Procedure Neural Networks

He Xingui,Liang Jiuzhen

Strategic Study of CAE 2000, Volume 2, Issue 12, Pages 40-44

Abstract:

In this paper, a novel artificial neuron model-procedure neuron model is proposed, in which the inputsBased on these neurons, a model named procedure neural network, which is also a feedforward network withThe related continuity, function approximation ability and computational capability theorems are proved

Keywords： procedure neural networks function approximation ability computational capability continuity