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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     parameteruncertainty    

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Effective optimization and uncertainty assessment of Xin’ anjiang model parameters

Wang Wenchuan,Cheng Chuntian,Qiu Lin,Yang Binbin

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 100-107

Abstract: justify;">While Xin'anjiang model is applied to simulate hydrograph, the "best"  parameterConsidering previously parameter optimization of Xin'anjiang model, there is only a unique "best"  parameter set to be found and it doesn't describe uncertainty of parameter.presents using SCEM-UA algorithm based Markov Chain Monte Carlo (MCMC) methods for optimization and uncertaintyresults of calibration and validation indicate that it is feasible and effective for optimization and uncertainty

Keywords： Xin'anjiang model     calibration parameter     uncertainty assessment     SCEM-UA    

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Modeling the impact of uncertainty in emissions trading markets with bankable permits

Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 2,   Pages 231-241 doi: 10.1007/s11783-012-0431-x

Abstract: The various forms of uncertainty that firms may face in bankable emission permit trading markets willThis research explores the effect of increased uncertainty over future input costs and output pricesIncreased uncertainty about future market conditions increases the expected permit price and causes aFinally, safety valves, both low-side and high-side, are suggested to reduce the impact of uncertainty

Keywords： uncertainty     bankable     emission trading     market performance    

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Key uncertainty events impacting on the completion time of highway construction projects

Alireza MOGHAYEDI, Abimbola WINDAPO

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 275-298 doi: 10.1007/s42524-019-0022-7

Abstract: This paper examines the uncertainty events encountered in the process of constructing highways, and evaluatesThe research made use of a review of extant literature in the area of uncertainty management, and modelingAn uncertainty matrix for South African highway projects was developed, using a quantitative model andIt emerged from the study that the uncertainty events affecting the construction time of highway projectstime differently, through a combination of the uncertainty events of the individual construction activities

Keywords： ANFIS     construction time     impact assessment     highway project     South Africa     uncertainty    

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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    

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Comprehensive Discussion on the Extension of Generalized Uncertainty Systems Theory

Wang Qingyin,Lii Ruihua

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 16-22

Abstract:

Based on comprehensive discussion on the connotation of generalized uncertainty systems theory, thispaper discusses the extension of generalized uncertainty systems theory as well as the basic frame andIt is a base to study generalized uncertainty systems theory.

Keywords： generalized uncertainty information     uncertainty mathematics     generalized uncertainty systems theory    

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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    

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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.
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Uncertainty of concrete strength in shear and flexural behavior of beams using lattice modeling

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 306-325 doi: 10.1007/s11709-022-0890-5

Abstract: This paper numerically studied the effect of uncertainty and random distribution of concrete strengthCapability of lattice modeling was highlighted as an efficient tool to account for uncertainty in statistical

Keywords： lattice modeling     shear failure     flexural failure     uncertainty     deficiency     numerical simulation    

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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 quantitative

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

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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    

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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    

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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    

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Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlo

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 517-537 doi: 10.1007/s11465-020-0589-z

Abstract: This paper presents a dynamic and static error transfer model and uncertainty evaluation method for aFinally, the uncertainty of the blade displacement measurement is evaluated using the Monte Carlo method

Keywords： air-floating guide rail     error transfer model     driving and following structure     dynamic error     uncertainty    

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temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract: main scope of the current study is to develop a systematic stochastic model to capture the undesired uncertaintyHowever, there exist rare reports which propose an efficient tool for coping with the uncertainty associated

Keywords： automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty    

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Title Author Date Type Operation

Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Journal Article

Effective optimization and uncertainty assessment of Xin’ anjiang model parameters

Wang Wenchuan,Cheng Chuntian,Qiu Lin,Yang Binbin

Journal Article

Modeling the impact of uncertainty in emissions trading markets with bankable permits

Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE

Journal Article

Key uncertainty events impacting on the completion time of highway construction projects

Alireza MOGHAYEDI, Abimbola WINDAPO

Journal Article

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

Journal Article

Comprehensive Discussion on the Extension of Generalized Uncertainty Systems Theory

Wang Qingyin,Lii Ruihua

Journal Article

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

Pijush Samui, Jagan J

Journal Article

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Journal Article

Uncertainty of concrete strength in shear and flexural behavior of beams using lattice modeling

Journal Article

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

Guozhen CHEN, Pinkuan LIU, Han DING

Journal Article

Energy efficient cutting parameter optimization

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

Journal Article

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

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlo

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Journal Article

temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article