Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 323

Year

2023 19

2022 19

2021 17

2020 19

2019 27

2018 17

2017 16

2016 9

2015 19

2014 17

2013 16

2012 13

2011 14

2010 21

2009 16

2008 12

2007 10

2006 7

2005 5

2004 7

open ︾

Keywords

parameter optimization 4

structural health monitoring 4

Bayesian belief network 3

optimization 3

Deep learning 2

FEM 2

Machine learning 2

Parameter estimation 2

Structural health monitoring 2

concrete 2

cracks 2

cutting parameter 2

damage assessment 2

different 2

displacement 2

finite element analysis 2

machine learning 2

modal analysis 2

structural health monitoring (SHM) 2

open ︾

Search scope:

排序： Display mode:

Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1, Pages 55-65 doi: 10.1007/s11465-019-0545-y

Abstract: This study proposes a structural parameter design approach for an FSM system based on the quantitativeFinally, the structural parameters of the stage are determined on the basis of the optimized results

Keywords： fast-steering mirror structural parameter PI controller bandwidth notch filter

HTML PDF Collect

Stress-strain relationship with soil structural parameter of collapse loess

SHAO Shengjun, YU Qinggao, LONG Jiyong

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3, Pages 293-293 doi: 10.1007/s11709-008-0100-0

HTML PDF Collect

Influence factors on natural frequencies of composite materials

Bo WANG, Feng ZHAO, Zixu ZHAO, Kunpeng XU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4, Pages 571-584 doi: 10.1007/s11465-020-0592-4

Abstract: gravity, larger specific strength, larger specific modulus, and better designability structure and structuralHowever, the variability of structural properties hinders the control and prediction of the performance

Keywords： composite material hammering and frequency sweep test structural parameter natural frequency

HTML PDF Collect

Study on stuctural system of Sutong Bridge

Zhang Xigang,Pei Minshan,Yuan Hong,Xu Liping,Zhu Bin

Strategic Study of CAE 2009, Volume 11, Issue 3, Pages 20-25

Abstract: strict requirements for resistance of wind and seismic action make it crucial to choose a favorable structuralThe comparsion among several optional structural systems for Sutong Bridge is illustrated, the optionalstructural systems contain floating, viscous damper, hydraulic buffer, and fixed system.

Keywords： Sutong cable-stayed bridge structural system damper damper parameter displacement

HTML PDF Collect

Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 490-505 doi: 10.1007/s11709-020-0669-5

Abstract: algorithms-K2, hill climbing (HC), tree augmented naive (TAN) Bayes, and Tabu search were adopted to perform parameter

Keywords： seismic soil liquefaction Bayesian belief network cone penetration test parameter learning structural

HTML PDF Collect

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: In fiber laser beam welding (LBW), the selection of optimal processing parameters is challenging and plays a key role in improving the bead geometry and welding quality. This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (EMs) with the multi-objective artificial bee colony algorithm (MOABC) to identify the optimal welding parameters. An inverse proportional weighting method that considers the leave-one-out prediction error is presented to construct EM, which incorporates the competitive strengths of three metamodels. EM constructs the correlation between processing parameters (laser power, welding speed, and distance defocus) and bead geometries (bead width, depth of penetration, neck width, and neck depth) with average errors of 10.95%, 7.04%, 7.63%, and 8.62%, respectively. On the basis of EM, MOABC is employed to approximate the Pareto front, and verification experiments show that the relative errors are less than 14.67%. Furthermore, the main effect and the interaction effect of processing parameters on bead geometries are studied. Results demonstrate that the proposed EM-MOABC is effective in guiding actual fiber LBW applications.

Keywords： laser beam welding parameter optimization metamodel multi-objective

HTML PDF Collect

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2, Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parametervolumetric water content ( ), residual water content ( ), bubbling pressure ( ), suction ( ) and fitting parameterA sensitivity analysis has been done to determine the effect of each input parameter on .

Keywords： unsaturated soil effective stress parameter Gaussian process regression (GPR) artificial neural network

HTML PDF Collect

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Frontiers in Energy 2008, Volume 2, Issue 2, Pages 187-193 doi: 10.1007/s11708-008-0030-5

Abstract: The 2 × 1000 MW ultra-supercritical steam turbine of Shanghai Waigaoqiao Phase III project, which uses grid frequency regulation and overload control through an overload valve, is manufactured by Shanghai Turbine Company using Siemens technology. Through optimization, the steam pressure is regarded as the criterion between constant pressure and sliding pressure operation. At high circulating water temperature, the turbine overload valve is kept closed when the unit load is lower than 1000 MW while at other circulating water temperatures the turbine can run in sliding pressure operation when the unit load is higher than 1000 MW and the pressure is lower than 27 MPa This increases the unit operation efficiency. The 3D bending technology in the critical piping helps to reduce the project investment and minimize the reheat system pressure drop which improves the unit operation efficiency and safety. By choosing lower circulating water design temperature and by setting the individual Boiler Feedwater Turbine condenser to reduce the exhaust steam flow and the heat load to the main condenser, the unit average back pressure and the terminal temperature difference are minimized. Therefore, the unit heat efficiency is increased.

HTML PDF Collect

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2, Pages 221-248 doi: 10.1007/s11465-020-0627-x

Abstract: Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimizationThis paper conducts a comprehensive literature review of current studies on energy efficient cutting parameterCurrent studies on energy efficient cutting parameter optimization by using experimental design methodCombined with the current status, future research directions of energy efficient cutting parameter optimization

Keywords： energy efficiency cutting parameter optimization machining process

HTML PDF Collect

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3, Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and drive

Keywords： wind turbine generator DFIG drive train system hierarchical parameter estimation method trajectory sensitivity

HTML PDF Collect

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5, Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isconducted to demonstrate the efficiency and highlight the superiority of the proposed method in modal parameterThe proposed method is proved to be efficient and accurate in modal parameter identification for bothlinear and nonlinear civil structures, including structures with closely spaced modes, sudden modal parameter

Keywords： modal parameter identification variational mode decomposition civil structure nonlinear system closely

HTML PDF Collect

Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3, Pages 237-251 doi: 10.1007/s11709-014-0242-1

Abstract: The present work intends to investigate the effect of soil and model parameter uncertainty on the response

Keywords： shallow foun dation sensitivity analysis centrifuge data first-order-second-moment (FOSM) method parameter

HTML PDF Collect

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: Structural dynamic characteristics are the most significant parameters that play a decisive role in structuralThe more sensitive parameter to the damage is the damping behavior of the structure.The complexity of structural damping mechanisms has made this parameter to be one of the ongoing researchresponses plays an important role in structural identification process.In this paper model-based damping approximation method and a model-less structural input estimation are

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

HTML PDF Collect

Parameter studies on impact in a lap joint

Amir M. RAHMANI,Elizabeth K. ERVIN

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 1, Pages 64-77 doi: 10.1007/s11465-014-0322-x

Abstract: Each parameter’s effect on system response is presented including unstable regions, unique trendRecommendations for structural designers are also noted.

Keywords： impact mechanics contact joint behaviour modal analysis parameter study

HTML PDF Collect

Effects of green roof damping and configuration on structural seismic response

Frontiers of Structural and Civil Engineering Pages 1133-1144 doi: 10.1007/s11709-023-0959-9

Abstract: Hence, their structural resilience or ability to recover from natural events must be considered comprehensively, nonlinear time-history analyses are conducted on a three-story building in SAP2000 to monitor the structuralThe increased damping in the green roof soil is beneficial to the structural performance, i.e., it reducesAdditionally, certain configurations are more effective and beneficial to the structural response thanBased on the findings of this study, new methods of modeling and considering green roofs in structural

Keywords： green infrastructure green roof structural resilience seismic design