Comptes Rendus Mecanique最新文献_第7页

Modeling and theoretical analysis of a novel ratcheting-type cam-based infinitely variable transmission system 一种新型棘轮凸轮无级变速系统的建模与理论分析

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-12-01 DOI: 10.1016/j.crme.2019.10.005

Amjad Al-Hamood , Hazim Jamalia , Amer Imran , Oday Abdullah , Adolfo Senatore , Hakan Kaleli

{"title":"Modeling and theoretical analysis of a novel ratcheting-type cam-based infinitely variable transmission system","authors":"Amjad Al-Hamood , Hazim Jamalia , Amer Imran , Oday Abdullah , Adolfo Senatore , Hakan Kaleli","doi":"10.1016/j.crme.2019.10.005","DOIUrl":"10.1016/j.crme.2019.10.005","url":null,"abstract":"<div><p>An infinitely variable transmission (IVT) is a system that allows for a continuous (non-discrete) variation (including zero) in transmission ratio between two rotating elements. In this paper, a novel ratcheting-type IVT mechanism is presented and its geometrical design and kinematic analysis are studied in details. The proposed system contains two identical units. Each unit includes a cam with a follower, oscillatory slotted links pivoted at a shaft that can be moved vertically by a hydraulic ram (alterable transmission ratio), and a grooved wheel with an actuating rod. The input rotational motion is converted through each unit to an oscillatory angular motion of controlled amplitude. This resulting motion is rectified using a ratchet to get a unidirectional output rotational motion. Therefore, the system output motion will have a different velocity and acceleration than those of the system input. The kinematic analysis revealed that the transmission ratio can be varied continuously in a range from zero to infinity. The analysis also showed that, for particular transmission ratios, the system gives uniform output (angular velocity and acceleration) for a corresponding uniform input.</p></div>","PeriodicalId":50997,"journal":{"name":"Comptes Rendus Mecanique","volume":"347 12","pages":"Pages 891-902"},"PeriodicalIF":0.8,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.crme.2019.10.005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89941312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Influence of geometry on stress state in bulk characterization tests 几何形状对体特性试验中应力状态的影响

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-12-01 DOI: 10.1016/j.crme.2019.10.003

Sonda Moakhar, Hamdi Hentati, Maher Barkallah, Jamel Louati, Mohamed Haddar

引用次数: 4

Thermal conduction properties of microcracked media: Accounting for the unilateral effect 微裂介质的热传导特性:考虑单侧效应

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-12-01 DOI: 10.1016/j.crme.2019.10.004

Sharan Raj Rangasamy Mahendren, Hélène Welemane, Olivier Dalverny, Amèvi Tongne

引用次数: 2

Passive vibration absorber effect on the machining surface quality of a flexible workpiece 被动吸振器对柔性工件加工表面质量的影响

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-12-01 DOI: 10.1016/j.crme.2019.11.014

R. Chaari, M. Haddar, F. Djemal, F. Chaari, M. Haddar

引用次数: 5

Nonlinear vibration analysis of piezoelectric bending actuators: Theoretical and experimental studies 压电弯曲作动器的非线性振动分析:理论与实验研究

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-12-01 DOI: 10.1016/j.crme.2019.10.007

Pouyan Shahabi, H. Ghafarirad, A. Taghvaeipour

引用次数: 10

Direct numerical simulation of flexible molecules and data-driven molecular conformation 柔性分子的直接数值模拟和数据驱动的分子构象

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-11-01 DOI: 10.1016/j.crme.2019.11.001

Amine Ammar , Francisco Chinesta

引用次数: 0

Modal decomposition from partial measurements 部分测量的模态分解

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-11-01 DOI: 10.1016/j.crme.2019.11.011

Clément Jailin , Stéphane Roux

引用次数: 1

Real-time Bayesian data assimilation with data selection, correction of model bias, and on-the-fly uncertainty propagation 实时贝叶斯数据同化与数据选择，修正模型偏差，并在飞行的不确定性传播

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-11-01 DOI: 10.1016/j.crme.2019.11.004

Paul-Baptiste Rubio , Ludovic Chamoin , François Louf

{"title":"Real-time Bayesian data assimilation with data selection, correction of model bias, and on-the-fly uncertainty propagation","authors":"Paul-Baptiste Rubio , Ludovic Chamoin , François Louf","doi":"10.1016/j.crme.2019.11.004","DOIUrl":"10.1016/j.crme.2019.11.004","url":null,"abstract":"<div><p>The work introduces new advanced numerical tools for data assimilation in structural mechanics. Considering the general Bayesian inference context, the proposed approach performs real-time and robust sequential updating of selected parameters of a numerical model from noisy measurements, so that accurate predictions on outputs of interest can be made from the numerical simulator. The approach leans on the joint use of Transport Map sampling and PGD model reduction into the Bayesian framework. In addition, a procedure for the dynamical and data-based correction of model bias during the sequential Bayesian inference is set up, and a procedure based on sensitivity analysis is proposed for the selection of the most relevant data among a large set of data, as encountered for instance with full-field measurements coming from digital image/volume correlation (DIC/DVC) technologies. The performance of the overall numerical strategy is illustrated on a specific example addressing structural integrity on damageable concrete structures, and dealing with the prediction of crack propagation from a damage model and DIC experimental data.</p></div>","PeriodicalId":50997,"journal":{"name":"Comptes Rendus Mecanique","volume":"347 11","pages":"Pages 762-779"},"PeriodicalIF":0.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.crme.2019.11.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123264530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

An efficient Tabu-search optimized regression for data-driven modeling 一个有效的禁忌搜索优化回归数据驱动建模

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-11-01 DOI: 10.1016/j.crme.2019.11.006

Chady Ghnatios , Ré-Mi Hage , Ilige Hage

引用次数: 6

Code2vect: An efficient heterogenous data classifier and nonlinear regression technique Code2vect:一个高效的异构数据分类器和非线性回归技术

IF 0.8 4区工程技术

Comptes Rendus Mecanique Pub Date : 2019-11-01 DOI: 10.1016/j.crme.2019.11.002

Clara Argerich Martín , Ruben Ibáñez Pinillo , Anais Barasinski , Francisco Chinesta

{"title":"Code2vect: An efficient heterogenous data classifier and nonlinear regression technique","authors":"Clara Argerich Martín , Ruben Ibáñez Pinillo , Anais Barasinski , Francisco Chinesta","doi":"10.1016/j.crme.2019.11.002","DOIUrl":"10.1016/j.crme.2019.11.002","url":null,"abstract":"<div><p>The aim of this paper is to present a new classification and regression algorithm based on Artificial Intelligence. The main feature of this algorithm, which will be called Code2Vect, is the nature of the data to treat: qualitative or quantitative and continuous or discrete. Contrary to other artificial intelligence techniques based on the “Big-Data,” this new approach will enable working with a reduced amount of data, within the so-called “Smart Data” paradigm. Moreover, the main purpose of this algorithm is to enable the representation of high-dimensional data and more specifically grouping and visualizing this data according to a given target. For that purpose, the data will be projected into a vectorial space equipped with an appropriate metric, able to group data according to their affinity (with respect to a given output of interest). Furthermore, another application of this algorithm lies on its prediction capability. As it occurs with most common data-mining techniques such as regression trees, by giving an input the output will be inferred, in this case considering the nature of the data formerly described. In order to illustrate its potentialities, two different applications will be addressed, one concerning the representation of high-dimensional and categorical data and another featuring the prediction capabilities of the algorithm.</p></div>","PeriodicalId":50997,"journal":{"name":"Comptes Rendus Mecanique","volume":"347 11","pages":"Pages 754-761"},"PeriodicalIF":0.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.crme.2019.11.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128929183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19