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Shallow foundation response variability due to soil and model parameter uncertainty
Prishati RAYCHOWDHURY,Sumit JINDAL
《结构与土木工程前沿(英文)》 2014年 第8卷 第3期 页码 237-251 doi: 10.1007/s11709-014-0242-1
关键词: shallow foun dation sensitivity analysis centrifuge data first-order-second-moment (FOSM) method parameter uncertainty
王文川,程春田,邱林,杨斌斌
《中国工程科学》 2010年 第12卷 第3期 页码 100-107
应用新安江模型进行水文模拟时,由于模型本身的不足及参数多、信息量少等原因,会出现率定的最优参数组不唯一、不稳定等问题。考虑到以往的参数优选,都只得出一个参数组,不能反映出其不确定性状况。提出应用基于马尔可夫链蒙特卡罗(MCMC)理论的SCEM-UA算法,通过双牌流域以1 h为时段间隔的36场典型洪水数据对新安江模型参数进行优选和不确定性评估。结果表明,该算法能很好地推出新安江模型参数的后验概率分布;率定和检验结果分析也表明,应用SCEM-UA算法对新安江模型进行优选和不确定评估是有效和可行的。
Modeling the impact of uncertainty in emissions trading markets with bankable permits
Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE
《环境科学与工程前沿(英文)》 2013年 第7卷 第2期 页码 231-241 doi: 10.1007/s11783-012-0431-x
关键词: uncertainty bankable emission trading market performance
Key uncertainty events impacting on the completion time of highway construction projects
Alireza MOGHAYEDI, Abimbola WINDAPO
《工程管理前沿(英文)》 2019年 第6卷 第2期 页码 275-298 doi: 10.1007/s42524-019-0022-7
关键词: ANFIS construction time impact assessment highway project South Africa uncertainty
《机械工程前沿(英文)》 2022年 第17卷 第4期 doi: 10.1007/s11465-022-0703-5
关键词: laser beam welding parameter optimization metamodel multi-objective
王清印,吕瑞华
《中国工程科学》 2005年 第7卷 第10期 页码 16-22
在概述广义不确定性系统内涵基础上,讨论了广义不确定性系统的外延类别及其相关理论的基本研究框架和基本原理,为深入研究广义不确定性系统理论奠定了基础。
Pijush Samui, Jagan J
《结构与土木工程前沿(英文)》 2013年 第7卷 第2期 页码 133-136 doi: 10.1007/s11709-013-0202-1
关键词: unsaturated soil effective stress parameter Gaussian process regression (GPR) artificial neural network (ANN) variance
1000 MW ultra-supercritical turbine steam parameter optimization
FENG Weizhong
《能源前沿(英文)》 2008年 第2卷 第2期 页码 187-193 doi: 10.1007/s11708-008-0030-5
Uncertainty of concrete strength in shear and flexural behavior of beams using lattice modeling
《结构与土木工程前沿(英文)》 2023年 第17卷 第2期 页码 306-325 doi: 10.1007/s11709-022-0890-5
关键词: lattice modeling shear failure flexural failure uncertainty deficiency numerical simulation
Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth
Guozhen CHEN, Pinkuan LIU, Han DING
《机械工程前沿(英文)》 2020年 第15卷 第1期 页码 55-65 doi: 10.1007/s11465-019-0545-y
关键词: fast-steering mirror structural parameter PI controller bandwidth notch filter
Energy efficient cutting parameter optimization
Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI
《机械工程前沿(英文)》 2021年 第16卷 第2期 页码 221-248 doi: 10.1007/s11465-020-0627-x
关键词: energy efficiency cutting parameter optimization machining process
Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator
Xueping PAN, Ping JU, Feng WU, Yuqing JIN
《机械工程前沿(英文)》 2017年 第12卷 第3期 页码 367-376 doi: 10.1007/s11465-017-0429-y
A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and drive train system in a wind turbine generator (WTG) is proposed in this paper. Firstly, the parameters of the DFIG and the drive train are estimated locally under different types of disturbances. Secondly, a coordination estimation method is further applied to identify the parameters of the DFIG and the drive train simultaneously with the purpose of attaining the global optimal estimation results. The main benefit of the proposed scheme is the improved estimation accuracy. Estimation results confirm the applicability of the proposed estimation technique.
关键词: wind turbine generator DFIG drive train system hierarchical parameter estimation method trajectory sensitivity technique
Variational mode decomposition based modal parameter identification in civil engineering
Mingjie ZHANG, Fuyou XU
《结构与土木工程前沿(英文)》 2019年 第13卷 第5期 页码 1082-1094 doi: 10.1007/s11709-019-0537-3
关键词: modal parameter identification variational mode decomposition civil structure nonlinear system closely spaced modes
Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN
《机械工程前沿(英文)》 2020年 第15卷 第4期 页码 517-537 doi: 10.1007/s11465-020-0589-z
关键词: air-floating guide rail error transfer model driving and following structure dynamic error uncertainty evaluation Monte Carlo method
Nasser L. AZAD,Ahmad MOZAFFARI
《机械工程前沿(英文)》 2015年 第10卷 第4期 页码 405-412 doi: 10.1007/s11465-015-0354-x
The main scope of the current study is to develop a systematic stochastic model to capture the undesired uncertainty and random noises on the key parameters affecting the catalyst temperature over the coldstart operation of automotive engine systems. In the recent years, a number of articles have been published which aim at the modeling and analysis of automotive engines’ behavior during coldstart operations by using regression modeling methods. Regarding highly nonlinear and uncertain nature of the coldstart operation, calibration of the engine system’s variables, for instance the catalyst temperature, is deemed to be an intricate task, and it is unlikely to develop an exact physics-based nonlinear model. This encourages automotive engineers to take advantage of knowledge-based modeling tools and regression approaches. However, there exist rare reports which propose an efficient tool for coping with the uncertainty associated with the collected database. Here, the authors introduce a random noise to experimentally derived data and simulate an uncertain database as a representative of the engine system’s behavior over coldstart operations. Then, by using a Gaussian process regression machine (GPRM), a reliable model is used for the sake of analysis of the engine’s behavior. The simulation results attest the efficacy of GPRM for the considered case study. The research outcomes confirm that it is possible to develop a practical calibration tool which can be reliably used for modeling the catalyst temperature.
关键词: automotive engine calibration coldstart operation Gaussian process regression machine (GPRM) uncertainty and random noises
标题 作者 时间 类型 操作
Shallow foundation response variability due to soil and model parameter uncertainty
Prishati RAYCHOWDHURY,Sumit JINDAL
期刊论文
Modeling the impact of uncertainty in emissions trading markets with bankable permits
Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE
期刊论文
Key uncertainty events impacting on the completion time of highway construction projects
Alireza MOGHAYEDI, Abimbola WINDAPO
期刊论文
Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC
期刊论文
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Pijush Samui, Jagan J
期刊论文
Uncertainty of concrete strength in shear and flexural behavior of beams using lattice modeling
期刊论文
Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth
Guozhen CHEN, Pinkuan LIU, Han DING
期刊论文
Energy efficient cutting parameter optimization
Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI
期刊论文
Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator
Xueping PAN, Ping JU, Feng WU, Yuqing JIN
期刊论文
Variational mode decomposition based modal parameter identification in civil engineering
Mingjie ZHANG, Fuyou XU
期刊论文
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
期刊论文