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P. ZAKIAN
《结构与土木工程前沿(英文)》 2017年 第11卷 第4期 页码 470-479 doi: 10.1007/s11709-017-0440-8
关键词: stochastic analysis random seismic excitation finite element method artificial neural network frequency domain analysis Monte Carlo simulation
YANG Menggang, HU Jianhua
《结构与土木工程前沿(英文)》 2008年 第2卷 第1期 页码 43-48 doi: 10.1007/s11709-008-0011-0
关键词: longitudinal displacement corresponding computer excitation phenomenological self-anchored suspension
Wei GUO, Zhiwu YU
《结构与土木工程前沿(英文)》 2012年 第6卷 第4期 页码 379-384 doi: 10.1007/s11709-012-0180-8
关键词: isolated structure stochastic response non-proportional damping efficient accurate pseudo-excitation method
Approximation of structural damping and input excitation force
Mohammad SALAVATI
《结构与土木工程前沿(英文)》 2017年 第11卷 第2期 页码 244-254 doi: 10.1007/s11709-016-0371-9
关键词: structural modal parameters damping identification method input excitation force identification Inverse problem
Simulation of heterogeneous two-phase media using random fields and level sets
George STEFANOU
《结构与土木工程前沿(英文)》 2015年 第9卷 第2期 页码 114-120 doi: 10.1007/s11709-014-0267-5
关键词: microstructure random fields level sets shape recovery two-phase media
Probabilistic analysis of secant piles with random geometric imperfections
《结构与土木工程前沿(英文)》 2021年 第15卷 第3期 页码 682-695 doi: 10.1007/s11709-021-0703-2
关键词: secant piles ultrasonic cross-hole testing probabilistic analysis reliability-based design random imperfections
Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI
《结构与土木工程前沿(英文)》 2019年 第13卷 第1期 页码 66-80 doi: 10.1007/s11709-018-0461-y
关键词: uncertainty reliability analysis deep excavations random set method finite difference method
贾贵玺,徐伟,郭宝钥,张臣堂
《中国工程科学》 2005年 第7卷 第6期 页码 50-53
优良的励磁控制系统不仅可以保证发电机运行的可靠性和稳定性,而且可有效地提髙发电机和电力系统技术指标。同步发电机励磁系统采用了PWM整流技术,实现励磁电流低谐波和励磁功率单元高功率因数转换,提高了发电机供电质量,并用MATLAB对设计系统做出仿真验证,证明该设计对改善发电机输出电压、提高功率单元电能利用率有明显效果。
Xi F. XU
《结构与土木工程前沿(英文)》 2015年 第9卷 第2期 页码 107-113 doi: 10.1007/s11709-014-0268-4
关键词: multiscale finite element settlement perturbation random field geotechnical
Named entity recognition for Chinese construction documents based on conditional random field
《工程管理前沿(英文)》 2023年 第10卷 第2期 页码 237-249 doi: 10.1007/s42524-021-0179-8
一种基于子带激励替换的窄带语音水印算法 Article
Wei LIU, Ai-qun HU
《信息与电子工程前沿(英文)》 2017年 第18卷 第5期 页码 627-643 doi: 10.1631/FITEE.1601503
Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS
《结构与土木工程前沿(英文)》 2015年 第9卷 第2期 页码 121-140 doi: 10.1007/s11709-015-0290-1
关键词: polycrystalline aggregates crystal plasticity random fields spatial variability correlation structure
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
Crack propagation with different radius local random damage based on peridynamic theory
《结构与土木工程前沿(英文)》 2021年 第15卷 第5期 页码 1238-1248 doi: 10.1007/s11709-021-0695-y
Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ
《机械工程前沿(英文)》 2015年 第10卷 第3期 页码 277-286 doi: 10.1007/s11465-015-0348-8
This paper addresses the development of a random forest classifier for the multi-class fault diagnosis in spur gearboxes. The vibration signal’s condition parameters are first extracted by applying the wavelet packet decomposition with multiple mother wavelets, and the coefficients’ energy content for terminal nodes is used as the input feature for the classification problem. Then, a study through the parameters’ space to find the best values for the number of trees and the number of random features is performed. In this way, the best set of mother wavelets for the application is identified and the best features are selected through the internal ranking of the random forest classifier. The results show that the proposed method reached 98.68% in classification accuracy, and high efficiency and robustness in the models.
关键词: fault diagnosis spur gearbox wavelet packet decomposition random forest
标题 作者 时间 类型 操作
An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural network
P. ZAKIAN
期刊论文
Investigations concerning seismic response control of self-anchored suspension bridge with MR dampers
YANG Menggang, HU Jianhua
期刊论文
Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure
Wei GUO, Zhiwu YU
期刊论文
Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium
Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI
期刊论文
Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast
Xi F. XU
期刊论文
Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale
Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS
期刊论文
of catalyst temperature in automotive engines over coldstart operation in the presence of different random
Nasser L. AZAD,Ahmad MOZAFFARI
期刊论文