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Relevant bibliographies by topics / Machine Foundation

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Academic literature on the topic 'Machine Foundation'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Machine Foundation"

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Ziolkowski, Patryk, Sebastian Demczynski, and Maciej Niedostatkiewicz. "Assessment of Failure Occurrence Rate for Concrete Machine Foundations Used in Gas and Oil Industry by Machine Learning." Applied Sciences 9, no. 16 (August 9, 2019): 3267. http://dx.doi.org/10.3390/app9163267.

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Concrete machine foundations are structures that transfer loads from machines in operation to the ground. The design of such foundations requires a careful analysis of the static and dynamic effects caused by machine exploitation. There are also other substantial differences between ordinary concrete foundations and machine foundations, of which the main one is that machine foundations are separated from the building structure. Appropriate quality and the preservation of operational parameters of machine foundations are essential, especially in the gas and oil industry, where every disruption in the technological process is costly. First and foremost, there are direct repair costs from damage to foundations, but there are also indirect costs associated with blockages of the production process. Foundation repairs can temporarily shut down a given part of the refining process from operation. Thanks to cooperation from our partner, we obtained data from 510 concrete machine foundations from a refinery. Our database included many parameters, such as concrete cover thickness, machine gravity center distortion, the angular frequency of vertical self-excited vibrations, the angular frequency of horizontal self-excited vibrations, amplitudes of oscillation, foundation area, foundation volume, and information on occurring failures. Concrete machine foundation failure is not yet fully understood. In our study, we assessed what affects the failure occurrence rate of concrete machine foundations and to what extent. We wanted to find out whether there are correlations between the foundation failure occurrence rate and the mentioned parameters. To achieve this goal, we utilized state-of-the-art machine learning techniques.

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Al-Wakel, Saad, and Ahmed Abdulrasool. "Effect of soil stabilized by cement on dynamic response of machine foundations." MATEC Web of Conferences 162 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201816201001.

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Machine foundations require significant attention from designers. The main goal of the design of machine foundation is to limit the amplitude displacement and not disturb the people who work near the machine. In some cases, if the design of machine foundations does not satisfy the acceptable value of the dynamic response (such as maximum amplitude of displacement), the stabilization of soil under the machine foundation may be used to decrease the amplitude of displacement. This paper outlines effect of stabilized soil under the foundation by cement on the displacement response of machine foundations. Three-dimensional analyses by using finite element method are carried out to investigate the effect of depth of stabilized layer with different percentage of cement content on the dynamic response of the machine foundation. In addition, the effect of area stabilized by cement material on the dynamic response of machine foundation is investigated. The results shown that, the dynamic response of machine foundations generally decreases with increasing the depth of soil layer stabilized with cement. A significant decrease in the displacement of machine foundations is occurred for the stabilized soil layer with a depth of two times of the width of foundation, and the optimum percentage of cement for stabilizing is 6%.

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Peukert, Bernd W., and Andreas Archenti. "Dynamic Interaction Between Precision Machine Tools and Their Foundations." International Journal of Automation Technology 14, no. 3 (May 5, 2020): 386–98. http://dx.doi.org/10.20965/ijat.2020.p0386.

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The manufacturing accuracy of modern machine tools strongly depends on the placement of the machine tool structure on the factory’s foundation. Civil engineering knows a variety of foundation types and factory planners must carefully consider local circumstances such as the size and the properties of the regional subsoil as well as the individual requirements of machine tools. Two of the major reasons for the effect of the foundation onto the machining accuracy are the added stiffness and the increased mass from the installation site’s foundation. A change of these characteristics greatly affects the dynamic characteristics of the overall machine tool and therefore also the machining dynamics. Although some general rules and guidelines exist for the design of foundations, their dynamic interaction with the supported precision machine tool structures is not well understood yet. This paper presents a series of measurements on two different types of machine tool foundations and highlights the characteristic differences in their dynamic interaction. It also proposes a novel approach to validate the conclusions with the use of foundation and machine tool scale models. These results can serve factory planners of precision targeting shop floors as a valuable guide for deciding on a suitable foundation for lowering the individual machine tool vibrations and/or reducing the dynamic interaction between closely located machine tools.

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Macnar, Kazimierz, Andrzej Gonet, and Stanisław Stryczek. "Wybrane zagadnienia geotechniczne posadowienia urządzeń wiertniczych." Nafta-Gaz 77, no. 5 (May 2021): 313–22. http://dx.doi.org/10.18668/ng.2021.05.04.

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This article presents selected geotechnical issues occurring at the foundation of drilling rigs for geological works included in the Operation Plan of a company performing geological works, in the aspect of designing and construction of their foundations and a yard. In the construction of drilling equipment, at least two main zones can be distinguished, often requiring separate foundations for individual machines: the zone near the borehole, including crane components, mast and drill pipe drive, and the so-called machine hall zone, including drive units and elements of mud system. The machine foundation is designed to mount a particular type of machine on it in order to transfer to the ground the static and dynamic loads generated during the movement of the machine. In particular, the current legislation, technical literature and standards were reviewed, especially: API recommended practice 51R and 4G, Working platforms for tracked plant, Eurocode 7 PN-EN 1997-2:2009 Standard. The values of safe bearing capacity of some soils and the magnitude of pressures generated by static and dynamic loads of selected drilling equipment were presented, which can be useful for preliminary assessment of the location of drilling equipment in the field and selection of surface and type of foundations. Typical examples of foundation of drilling rigs in various geotechnical conditions on direct foundations with the use of prefabricated elements such as reinforced concrete road slabs, wooden slabs and composite slabs based on HDPE plastic or on indirect ones with the use of micropiles were described. The following essential elements of the process of geotechnical design of the foundation of drilling rigs and their execution were indicated. According to legal regulations, the form of presentation of geotechnical foundation conditions and the scope of necessary tests should depend on assigning the building structure to a proper geotechnical category, which for practical purposes is tabulated in this article. The design and construction of foundations for drilling rigs should ensure, among other things, that their intrinsic vibrations are sufficiently different from those induced by subassemblies of the rig, that the vibration amplitudes are smaller than permissible, and that the foundations of individual machines are adequately separated from each other and from the rest of the facilities (yard). Conclusions on the safe foundation of drilling rigs on the ground, including, among others, the strengthening of the ground, design of independent building structures such as foundations for drilling rigs and their execution and removal were presented.

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Tian, Yang, Zhifeng Liu, Xinpeng Xu, Guang Wang, Qiwei Li, Yang Zhou, and Jiangli Cheng. "Systematic review of research relating to heavy-duty machine tool foundation systems." Advances in Mechanical Engineering 11, no. 1 (January 2019): 168781401880610. http://dx.doi.org/10.1177/1687814018806106.

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The quality of heavy-duty machine tool foundations can drastically affect the operating life and working precision of the tool, and the high cost of manufacture has drawn a lot of attention. This article summarized the research status of the relevant literature on the characteristics, vibration isolation, foundation optimization, and quality inspection of heavy-duty machine tool-foundation system, induced the influencing laws of the influencing factors of the system, reviewed the highlights and achievements in the research of heavy machine tool-foundation system at present, and put forward some problems and development directions existing in the research of heavy machine tool-foundation system. It lays a foundation for realizing the judgment of the concrete foundation quality and improving the processing precision and the maintenance of the heavy machine tool.

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Zhang, Yi, Wanlu Chen, Suqin Dou, Panpan Li, Hai Gu, and Ren-E. Dong. "Constructing Machine Tool Foundations Using an LMP Alloy." Materials 13, no. 7 (April 2, 2020): 1649. http://dx.doi.org/10.3390/ma13071649.

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Currently, the construction of machine tool foundations is a complicated and lengthy procedure with a limited flexibility. In this paper, we present a novel system for constructing machine tool foundations that replaces the need for concrete or concrete-polymer hybrids with a low melting point (LMP) alloy. The system uses a hot bath method to maintain the LMP alloy grouting in liquid form. A fixing device is used to control the embedded depth and positional accuracy of the foundation bolt assembly. The grouting material is injected into the foundation pit by a filling device. This can be extracted from the foundation pit in a later stage with the aid of a recycling device, enabling new machine tool foundations to be manufactured by reusing the LMP alloy grouting material. A prototype was built to test the proposed design. The results show that the system can construct machine tool foundations in a single application, without the delays associated with concrete-based construction, lowering both the economic and environmental cost.

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Ma, Fu Dong, Yao Gang Li, and Qian Lin Peng. "Modeling Research for Active Control of Coupled Vibration between Multiple CNC Milling Machines and Flexible Foundation." Applied Mechanics and Materials 105-107 (September 2011): 675–79. http://dx.doi.org/10.4028/www.scientific.net/amm.105-107.675.

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In real life many agencies are using the flexible foundation as a base of support, such as ship hull or deck, the chassis of car, and machine tools work on stairs. With the traditional theory, the mathematical model between machine and based simplified as single-degree-of-freedom, assuming foundation is a rigid, and many investigate for a single machine, ignoring the dynamic coupling of base and the coupling characteristics between vibrators. This paper build a dynamics model with flexible basis and multiple machines, it’s multi-degrees-of-freedom model. The foundation is flexibled. On this basis builiding a model about multiple machines, flexible foundation and vibration isolation system. This paper resolve to the problem of the machine work on stair, research the system include vibrator, actuators, and flexible foundation. Using Lagrange equation deduce dynamics equation. Express every factor in eqution,deduced the state and space expression.Take prepare for optimal and system simulation.

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Tian, Yang, Zhifeng Liu, and Xiangmin Dong. "Bearing deformation of heavy-duty machine tool-foundation systems and deformation detection methods." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 9 (November 21, 2018): 3232–45. http://dx.doi.org/10.1177/0954406218813396.

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Because of the characteristics of heavy-duty machine tools such as large self-weight and heavy load, the working precision and service life of their lathe beds, columns, and other large structural parts are all directly influenced by the foundation. In view of the considerable influence of joint surfaces on system characteristics, this study involved obtaining joint surface parameter values from a microscopic perspective, deriving a static joint surface parameter model from Reynolds equation, adopting fractal theory to develop a bolted joint surface parameter model, and thus completing the embedding of joint surface parameters under uneven loads; a simulation model for a heavy-duty machine tool-foundation system was also devised considering the influence of joint surfaces. To identify the structural micro-deformation status of heavy-duty numerical control machine tool-foundation systems, the authors constructed a fiber grating technology-based experimental platform for detecting the deformation of structural parts, verified the correctness of the above simulation model via experiments, and proposed a method for detecting the deformation of heavy-duty machine tool-foundation systems using fiber grating technology. Based on the above simulation model, the influence of reinforced layer position, foundation outline specifications and soil properties around the foundation on the bearing deformation of heavy-duty machine tool-foundation systems were studied, and some guidelines on the construction of concrete foundations were formulated. This model and the related detection method laid a theoretical foundation for guiding the design and optimization of heavy-duty machine tool structure and foundation.

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Tian, Yang, Qilin Shu, Zhifeng Liu, and Yujie Ji. "Vibration Characteristics of Heavy-Duty CNC Machine Tool-Foundation Systems." Shock and Vibration 2018 (September 25, 2018): 1–12. http://dx.doi.org/10.1155/2018/4693934.

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Vibration characteristics of heavy CNC machine tools are directly affected by their foundations. To analyze vibrations of heavy CNC machine tools caused by internal and external loads, a system dynamics model of a rigid-flexible coupled heavy-duty CNC machine tool-foundation system was established based on the multibody transfer matrix method. Since joint surfaces can seriously affect the accuracy of system mechanics models, the substructure synthesis method was first used to establish a dynamic model of the joint surface. The frequency response function was then used to identify model parameters. Moreover, to improve the accuracy of parameter identification of the joint surface, a residual frequency compensation function was used to reconstruct the frequency response function. Finally, the multibody system model was implemented by combining surface elements. To verify the system dynamics model, an experimental model of the heavy-duty machine-foundation system was built, taking into consideration joint surface factors, and the theoretical model was validated by comparing theoretical, simulation, and experimental results. Using the theoretical model, the influence of different forms of concrete foundations, materials, and soil properties on the vibration characteristics of heavy-duty CNC machine tools was analyzed, thus providing a theoretical basis for optimizing and improving CNC machine tools.

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Li, Xiao, Xin Liu, Clyde Zhengdao Li, Zhumin Hu, Geoffrey Qiping Shen, and Zhenyu Huang. "Foundation pit displacement monitoring and prediction using least squares support vector machines based on multi-point measurement." Structural Health Monitoring 18, no. 3 (April 23, 2018): 715–24. http://dx.doi.org/10.1177/1475921718767935.

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Foundation pit displacement is a critical safety risk for both building structure and people lives. The accurate displacement monitoring and prediction of a deep foundation pit are essential to prevent potential risks at early construction stage. To achieve accurate prediction, machine learning methods are extensively applied to fulfill this purpose. However, these approaches, such as support vector machines, have limitations in terms of data processing efficiency and prediction accuracy. As an emerging approach derived from support vector machines, least squares support vector machine improve the data processing efficiency through better use of equality constraints in the least squares loss functions. However, the accuracy of this approach highly relies on the large volume of influencing factors from the measurement of adjacent critical points, which is not normally available during the construction process. To address this issue, this study proposes an improved least squares support vector machine algorithm based on multi-point measuring techniques, namely, multi-point least squares support vector machine. To evaluate the effectiveness of the proposed multi-point least squares support vector machine approach, a real case study project was selected, and the results illustrated that the multi-point least squares support vector machine approach on average outperformed single-point least squares support vector machine in terms of prediction accuracy during the foundation pit monitoring and prediction process.

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Dissertations / Theses on the topic "Machine Foundation"

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Liu, Dilectiss Di Sheng [Verfasser]. "Machine Philosophy - A Foundation of Philosophical Methodology / Dilectiss Di Sheng Liu." Tübingen : Universitätsbibliothek Tübingen, 2021. http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1184779.

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Hammond, Alisha M. "Establishing a quantitative foundation for exactly constrained design /." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd326.pdf.

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Neto, Edgard Sant'Anna de Almeida. "Introdução a analise dinâmica de fundações de máquinas." Universidade de São Paulo, 1989. http://www.teses.usp.br/teses/disponiveis/3/3144/tde-08122003-082155/.

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Este trabalho apresenta conceitos e procedimentos que devem ser considerados na análise dinâmica de fundações de máquinas. São discutidas as abordagens e os métodos de cálculo à disposição dos engenheiros, assim como os fatores que influenciam a escolha e o desenvolvimento de modelos matemáticos adequados. Três tipos diferentes de fundação (fundações em bloco rígido, fundações de martelos e fundações aporticadas) são examinados, e são utilizados exemplos para demonstrar a eficácia de técnicas simples de modelagem.
This paper presents concepts and procedures necessary to the dynamic analysis of machine foundations. Analytical approaches available to the designer, and factors which influence the choice and development of a suitable analytical model are discussed. Three different foundations (block foundations, hammer foundations and framed foundations) are examined and examples are given to demonstrate the effectiveness of simple modeling techniques.

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Macejka, Andrej. "Stacionární drtič železobetonových panelů - analýza dynamických účinků do základů stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-416604.

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This diploma thesis is concerned with design and proposal of parameters of drop hammer Davon for crushing of steel reinforced concrete panels with weight of the ram 5 t. The main topic is an emergency condition when there is no crushed material between ram and anvil. The design is established by simulation of an impact by finite element analysis with respect to required ground bearing capacity.

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Machado, Vinicius Ponte. "Uma arquitetura baseada em agentes para configura??o din?mica de aplica??es inteligentes em ambiente foundation fieldbus." Universidade Federal do Rio Grande do Norte, 2009. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15136.

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Made available in DSpace on 2014-12-17T14:54:53Z (GMT). No. of bitstreams: 1 ViniciusPM.pdf: 1794851 bytes, checksum: 2a77c7f1b263be186ffa64cbc38b4cc3 (MD5) Previous issue date: 2009-12-11
Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior
The industrial automation is directly linked to the development of information tecnology. Better hardware solutions, as well as improvements in software development methodologies make possible the rapid growth of the productive process control. In this thesis, we propose an architecture that will allow the joining of two technologies in hardware (industrial network) and software field (multiagent systems). The objective of this proposal is to join those technologies in a multiagent architecture to allow control strategies implementations in to field devices. With this, we intend develop an agents architecture to detect and solve problems which may occur in the industrial network environment. Our work ally machine learning with industrial context, become proposed multiagent architecture adaptable to unfamiliar or unexpected production environment. We used neural networks and presented an allocation strategies of these networks in industrial network field devices. With this we intend to improve decision support at plant level and allow operations human intervention independent
A automa??o industrial est? diretamente ligada ao crescimento da tecnologia da informa??o. Tanto as melhorias em solu??es de hardware quanto o aprimoramento em metodologias de desenvolvimento de software propiciaram o crescimento do controle do processo produtivo ao longo dos anos. Nesta tese, propomos uma arquitetura que permitir? a uni?o de duas tecnologias no ?mbito de hardware (redes industriais) e software (sistemas multiagente). O objetivo de nossa proposta ? unir essas tecnologias em uma arquitetura multiagente para permitir implementa??o de aplica??es inteligentes nos dispositivos de campo. Com isso pretendemos fazer que os agentes possam detectar e apontar solu??es para problemas encontrados no ambiente de rede industrial. Este trabalho ainda alia a aprendizagem de m?quina ao contexto industrial, permitindo dessa forma que a arquitetura de agentes proposta possa se tornar adapt?vel a um contexto de produ??o desconhecido ou inesperado. Para isso, utilizamos redes neurais e mostramos uma estrat?gia para aloca??o destas redes em dispositivos da rede industrial. Pretendemos assim viabilizar uma melhoria no suporte a decis?o em ocorr?ncias no n?vel de planta auxiliando os operadores na detec??o e corre??o de problemas e falhas

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Eriksson, Jakob, and Patrik Nilsson. "Effektivisering av informationsflöde vid betongpålning." Thesis, Luleå tekniska universitet, Geoteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-61663.

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Produktiviteten inom byggbranschen har länge ansetts som låg och byggbolag i sektorn arbetar för att bli effektivare. Denna rapport syftar till att utreda hur informationsflödet vid grundläggning av betongpålar kan effektiviseras. Studien utgår ifrån Skanska Sverige ABs region Skanska Grundläggning som bland annat bedriver betongpålningsverksamheten inom företaget. För att skapa en förståelse för informationsflödet inom verksamheten behövde författarna kartlägga de befintliga arbetssätten som används idag. Målsättningen var sedan att utifrån det nuvarande tillståndet formulera ett framtida tillstånd med en ökad effektivitet i informationsflödet. Inom byggsektorn implementeras BIM på bred front och detta arbetssätt utreds i rapporten som en möjlighet till ett förbättrat informationsflöde. För att kartlägga betongpålningsproduktionen inom företaget har metoden värdeflödesanalys använts. Metoden är ett sätt att kartlägga en specifik process, där produkten som kunden vill ha följs. Analysen har sitt ursprung från Toyotas arbetssätt som idag benämns som lean. Kartläggningen av betongpålning i rapporten hade sin start vid transport från fabrik och slut vid när pålen lämnats över till kunden. I kartläggningen följer författarna materialflödet samt informationsflödet knutet till materialet under förädlingsprocessen. Insamlingen av data till kartläggningen gjordes genom en intervjustudie och en observationsstudie. För att förstå möjligheten till implementeringar utfördes även en enkätstudie och intervjustudie, angående utnyttjandet av BIM inom Skanska Grundläggning. Användningen av BIM inom organisationen skiljde sig mellan de olika yrkesgrupperna, tjänstemän och yrkesarbetare. Enkätstudien utfördes på fem projekt i Stockholmsområdet. Bland tjänstemännen arbetade 8 av 19 med BIM varje vecka eller oftare medan 16 av 17 yrkesarbetare aldrig arbetat med BIM. Resultaten till värdeflödesanalysen var hämtade från två projekt, FSE 105 Betongtunnel Kungens kurva och Trafikplats Vega. Utifrån resultaten formulerades två förbättringsområden, där utsättning genom maskinstyrning var det ena och digitalisering av dokumentation var det andra. Implementeringen av GPS-styrning på pålkranar behöver inte lång tid för att löna sig ekonomiskt. Utifrån resultaten kan ca 170,000 SEK sparas per år och maskin om maskinstyrning implementeras, samt att det finns ytterligare positiva effekter som framkommit men inte uppmäts i denna studie. Det finns dock hinder i användarvänligheten och tekniken kräver idag manuell handpåläggning i vissa moment. För utvecklingen av BIM hos medarbetarna finns stora vinster genom förenklade informationsflöden men också svårigheter eftersom en stor del av medarbetarna idag blir hindrade av tekniken.
Productivity in the construction industry has for a long time been considered as low compared to other industries. The construction industry has started to adapt strategies that have been successful in other industries to increase the productivity. This report aims to examine how the information flow during foundation of concrete piles can be more efficient. The study is based on Skanska Sweden AB for the region of Skanska foundation. Concrete piling is one of the foundation activities that Skanska foundation performs. To create an understanding about the information flow, the authors had to identify the existing working method that was used today. The aim was then based on the current state to formulate a future state with a greater efficiency in the flow of information. BIM has begun to be implemented as a working method in the construction sector and have therefore been investigated in the report as an opportunity for an improved flow of information. To identify the production process for concrete piling within the company the authors have used value stream mapping. The method is a way of mapping a specific process, where the product that the customer wants is followed. The analysis originating from Toyotas method which today is referred to as lean. The mapping of concrete piling started from the transport of the factory to the pile was handed over to the customer. During the mapping the authors follows the material flow and the information flow related to the material during the process. The collection of data for the value stream mapping was done based on interviews and observations. To understand the possibility of implementations carried out a questionnaire and interviews, regarding the use of BIM in Skanska foundation. The use of BIM within the organization differs between the different professional groups, civil servants and skilled workers. The questionnaire survey was conducted on five projects in the Stockholm area. Among civil servants eight of 19 worked with BIM weekly or more often, while 16 of 17 skilled workers never had worked with BIM at all. The results of value stream analysis were collected from the two projects, the FSE 105 Concrete tunnel at Kungens kurva and interchange Vega. Based on the results the authors have formulated two areas of improvements. The first improvement is about release measuring through machine control and the second are about digitization of documents. Implementation of machine control on a pile driver does not need a long time to pay off financially. From the results, about 170,000 SEK can be saved per year and machine if machine control would be implemented on the pile drivers. There are more positive effects that have been observed during the study but these effects have not been measured. However, there are obstacles in the usability and technology today that require manual intervention at certain stages. For the development of BIM among the employees there are great gains through simplified information flow. With that there comes difficulties since a large proportion of employees is hindered by technology.

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Bhat, Sooraj. "Syntactic foundations for machine learning." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47700.

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Machine learning has risen in importance across science, engineering, and business in recent years. Domain experts have begun to understand how their data analysis problems can be solved in a principled and efficient manner using methods from machine learning, with its simultaneous focus on statistical and computational concerns. Moreover, the data in many of these application domains has exploded in availability and scale, further underscoring the need for algorithms which find patterns and trends quickly and correctly. However, most people actually analyzing data today operate far from the expert level. Available statistical libraries and even textbooks contain only a finite sample of the possibilities afforded by the underlying mathematical principles. Ideally, practitioners should be able to do what machine learning experts can do--employ the fundamental principles to experiment with the practically infinite number of possible customized statistical models as well as alternative algorithms for solving them, including advanced techniques for handling massive datasets. This would lead to more accurate models, the ability in some cases to analyze data that was previously intractable, and, if the experimentation can be greatly accelerated, huge gains in human productivity. Fixing this state of affairs involves mechanizing and automating these statistical and algorithmic principles. This task has received little attention because we lack a suitable syntactic representation that is capable of specifying machine learning problems and solutions, so there is no way to encode the principles in question, which are themselves a mapping between problem and solution. This work focuses on providing the foundational layer for enabling this vision, with the thesis that such a representation is possible. We demonstrate the thesis by defining a syntactic representation of machine learning that is expressive, promotes correctness, and enables the mechanization of a wide variety of useful solution principles.

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Bu, Suhol. "Dynamic boundary element analysis of machine foundations." Thesis, University of Glasgow, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295386.

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Costa, Guilherme Alan Souza. "Análise vibratória de fundações de máquinas sobre estacas." Universidade do Estado do Rio de Janeiro, 2013. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=7853.

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Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
A análise de fundações sob solicitações dinâmicas é algo sempre presente em projetos na área industrial. É um campo pouco explorado na área de engenharia geotécnica, onde existem relativamente poucas informações no Brasil, de maneira geral. O método mais comum de realizar essas análises é a simplificação de modelos estruturais a partir do uso de molas. Sabe-se que esses coeficientes de reação têm uma variação relativamente grande e que esse enfoque de projeto pode, em alguns casos, mostrar-se contra a segurança ou levar a superdimensionamentos desnecessários. Verifica-se, então, a necessidade de uma avaliação mais criteriosa, utilizando a interação solo x estrutura, onde as molas comumente utilizadas nas análises vibratórias convencionais são substituídas pela rigidez real do solo quando concebido como um meio contínuo, através de sua discretização pelo método dos elementos finitos. A presente dissertação analisa o problema através do módulo de dinâmica do programa Plaxis 2D. Neste tipo de análise, além da modelagem do solo como um meio contínuo, torna-se possível introduzir condições de contorno específicas ao problema em estudo, múltiplas camadas de solo, sejam horizontais ou inclinadas, além da introdução de amortecedores capazes de evitar a reflexão espúria das ondas incidentes nos limites da malha de elementos finitos e assim modelar mais adequadamente a perda de energia por radiação. A presente dissertação compara medições experimentais e soluções eficientes de métodos vibratórios clássicos com a resposta obtida pelo MEF, mostrando resultados bastante satisfatórios tanto pelos métodos clássicos quanto pelo MEF.
The foundation analysis by dynamic solicitations is always present in industrial projects. It is an area which is poorly explored in geotechnical engineering and there are few information about this subject in Brazil, in general. The most common method to realize this analysis consists in simplifies structural models by using springs. It is known that these reaction coefficients have a large range of variation and this projects focus can, in some cases, be against the safety side or lead to unnecessary over designs. This proves the necessity to do a more criterious evaluation by using the interaction soil x structure where the springs usually used in common vibration analysis are replaced by the real stiffness of soil when designed as a continuous medium through its discretization by finite element method. This present dissertation analyzes the problem through the dynamic modulus of the software PLAXIS 2D. In this sort of analysis, besides the modeling of soil as a continuous medium, it becomes possible to introduce specific boundary conditions associated to the studied problem, multiple soil layer, that can be horizontals or inclined, in addition to the introduction of dampers able to avoid the spurious reflection of incident waves on the boundary of finite element mesh and then to model more efficiently the energy loss by radiation. This present dissertation compares experimental measurements and efficient solutions of classical vibration methods with the response obtained by FEM, showing results quite satisfactory both by classical methods and by FEM.

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Mbawala, Silipius Joseph. "Behaviour of machine foundations subjected to vertical dynamic loading." Thesis, University of Pretoria, 2015. http://hdl.handle.net/2263/56087.

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The vertical dynamic behaviour of machine foundations subjected to vertical dynamic loading was investigated for surface and embedded foundations. The responses of these machine foundations were determined using analytical and numerical solutions ranging from simple to complex. An accurate prediction of impedance functions for the foundation system is a key step in the design procedures. The prediction accuracy depends on how close the modelling procedures are to reality. The subject of soil dynamics is complex. At times, the choice of the analysis model is based on the experience of the engineer with the model. The chosen model may or may not result in an optimal, efficient, and accurate design. The current advancement in manufacturing technology calls for machine foundation systems with high performance, availability and reliability. The analysis and design of such complex, large and sensitive machine foundations requires good understanding of their dynamic behaviour. The aim of this thesis is to investigate and evaluate the most accurate analytical and numerical models for determining the dynamic behaviour of surface and embedded machine foundations. Surface and embedded footings were cast at the experimental station at the University of Pretoria. The vertical dynamic behaviour of these foundations was determined by vertical harmonic loading. The measured impedance functions were compared with predicted responses obtained from analytical solution of the Winkler model, elastic half-space theory, simplified Lysmer (1965) model, Veletsos and Verbic (1973) models, the Dyna5 program and numerical solution of finite element method (Abaqus). The dynamic responses of the surface foundation predicted by the analytical solution proposed by Veletsos and Verbic (1973) soil with mass, compared reasonably well with the results obtained from field-measured data. The measured impedance functions of the embedded foundation were compared with the predicted results ascertained using the analytical solution proposed by Novak and Beredugo (1972), Dyna5 program and numerical solution of the finite element method (Abaqus). It is shown that embedment increases stiffness, natural frequency, natural frequency ratio, and damping ratio. The embedment reduces resonant amplitude, resonant amplitude ratio and has an insignificant effect on resonant frequency and resonant frequency ratio. The measured dynamic responses compared favourably with the results predicted by the finite element method (Abaqus). The conclusion is that the analytical model proposed by Veletsos and Verbic (1973) soil with mass, and the finite element method (Abaqus) can be used to accurately predict the dynamic response of surface and embedded machine foundations respectively.
Thesis (PhD)--University of Pretoria, 2015.
tm2016
Civil Engineering
PhD
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Books on the topic "Machine Foundation"

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Schwartz, Liz. Foundation pieced stained glass quilts. Newport, Va: Zippy Designs Pub., 2000.

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Schwartz, Liz. Foundation pieced stained glass quilts. Newport, Va: ZDP Media Group, 2004.

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Beautiful foundation-pieced quilt blocks. New York: Sterling, 1999.

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Tara, Ruth Aldridge. Machine-tool technology: Building the foundation for future factories. [ ]: SRI International, 1990.

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Schwartz, Liz. Celestial wonders: Foundation pieced stellar designs. Newport, VA: Zippy Designs Pub., 1997.

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Easy machine paper piecing: 65 quilt blocks for foundation piecing. Bothell, WA, USA: That Patchwork Place, 1994.

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Flip-flop paper piecing: Revolutionary single-foundation technique guarantees accuracy. Lafayette, CA: C&T Pub., 2009.

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Causee, Linda. Log cabin borders and corners: 24 designs for foundation piecing. Vista, CA: American School of Needlework, 2003.

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Rozmyn, Mia. Freedom in design: New directions in foundation paper piecing. Bothell, WA, USA: That Patchwork Place, 1995.

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Easy mix & match machine paper piecing: 70 quilt blocksfor foundation piecing. Bothell, WA: That Patchwork Place, 1995.

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Book chapters on the topic "Machine Foundation"

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Bergmeir, Philipp. "Data foundation." In Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data, 7–17. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20367-2_2.

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Rother, César S., Augusto C. M. G. de Alencar, and Tiago H. Machado. "A Compensation Method for Foundation Effects in Rotating Systems Through Shape Optimization." In Mechanisms and Machine Science, 413–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99268-6_29.

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Venkateswarlu, Hasthi, and Amarnath M. Hegde. "Performance Evaluation of Geocell Reinforced Machine Foundation Beds." In Geocells, 199–223. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6095-8_8.

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Hung, Chih-Cheng, Enmin Song, and Yihua Lan. "Foundation of Deep Machine Learning in Neural Networks." In Image Texture Analysis, 201–32. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13773-1_9.

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Wilkie, D. R. "Muscle as a Thermodynarnic Machine." In Ciba Foundation Symposium 31 - Energy Transformation in Biological Systems, 327–39. Chichester, UK: John Wiley & Sons, Ltd., 2008. http://dx.doi.org/10.1002/9780470720134.ch17.

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Shaposhnikov, Konstantin, Dayi Zhang, Wenzhong Yan, and Jie Hong. "Investigation on the Dynamic Characteristics of a Rotor Suffering Impact Foundation External Excitation." In Mechanisms and Machine Science, 442–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99268-6_31.

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Bettaieb, Seifeddine, Seung Yeob Shin, Mehrdad Sabetzadeh, Lionel Briand, Grégory Nou, and Michael Garceau. "Decision Support for Security-Control Identification Using Machine Learning." In Requirements Engineering: Foundation for Software Quality, 3–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15538-4_1.

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Babu, Bindu, S. Sudha, and L. Godlin Atlas. "Foundation of Machine Learning-Based Data Classification Techniques for Health Care." In Machine Learning and Analytics in Healthcare Systems, 41–62. First editlion. | Boca Raton : CRC Press, 2021. | Series: Green engineering and technology: concepts and applications: CRC Press, 2021. http://dx.doi.org/10.1201/9781003185246-3.

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Yamakami, Tomoyuki. "A Foundation of Programming a Multi-tape Quantum Turing Machine." In Lecture Notes in Computer Science, 430–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48340-3_39.

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Skotnica, Marek, Steven J. H. van Kervel, and Robert Pergl. "A DEMO Machine - A Formal Foundation for Execution of DEMO Models." In Lecture Notes in Business Information Processing, 18–32. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57955-9_2.

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Conference papers on the topic "Machine Foundation"

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El-Gohary, Nora, and Kadir Amasyali. "Machine Learning-Based Building Energy Consumption Prediction." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2016. http://dx.doi.org/10.5339/qfarc.2016.eepp2582.

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Reddy, Manoj, and John Cho. "Detecting Chronic Kidney Disease Using Machine Learning." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2016. http://dx.doi.org/10.5339/qfarc.2016.ictsp1534.

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Sun, Fuxue. "SVM in Predicting the Deformation of Deep Foundation Pit in Soft Soil Area." In 2010 International Conference on Machine Vision and Human-machine Interface. IEEE, 2010. http://dx.doi.org/10.1109/mvhi.2010.167.

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Zaghouani, Wajdi, and Irina Temnikova. "Toward a Cognitive Evaluation Approach for Machine Translation PostEditing." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2018. http://dx.doi.org/10.5339/qfarc.2018.ictpd885.

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Deng, Genqing. "Design of a Foundation Block for a Centrifugal Machine." In 2012 Second International Conference on Intelligent System Design and Engineering Application (ISDEA). IEEE, 2012. http://dx.doi.org/10.1109/isdea.2012.655.

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Zhong, Luo, Bingqing Wu, Ruiqi Luo, Shujun Zhang, Zhaoyu Dong, and Ye Lu. "Pile Foundation Detection Data Analysis and Classification Method." In ICDMML 2019: 2019 International Conference on Data Mining and Machine Learning. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3335656.3335678.

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Zaghouani, Wajdi, Nizar Habash, Ossama Obeid, Behrang Mohit, Houda Bouamor, and Kemal Oflazer. "Annotation Guidelines and Framework for Arabic Machine Translation Post-Edited Corpus." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2016. http://dx.doi.org/10.5339/qfarc.2016.ictop2013.

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Lees, A. W., J. K. Sinha, and M. I. Friswell. "The Identification of the Unbalance of a Flexible Rotating Machine From a Single Run-Down." In ASME Turbo Expo 2002: Power for Land, Sea, and Air. ASMEDC, 2002. http://dx.doi.org/10.1115/gt2002-30420.

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The reliable estimation of a flexible foundation model and the state of unbalance (both amplitude and phase) of a turbogenerator from machine run-down measured vibration data is an active research area. Earlier studies on the estimation of both these quantities used the whole frequency range of the run-down as a single band. However, such an identification may be inaccurate for large flexible foundations having many modes in the run-down frequency range. For reliable identification, the whole frequency range has to be divided into a number of frequency bands and the frequency dependent foundation models have to be estimated together with the unbalance. This paper combines the unbalance estimation with the split frequency range for the foundation model, and the highlights the limitations observed during estimation of foundation models and state of unbalance. Having established the method in simulation, experimental data from a 3 m long test rig, with four journal bearings, is used to test the method. The robustness of the unbalance estimates to a number of errors in the bearing and shaft model is demonstrated. The approach seems to give reliable estimates of the machine unbalance.

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Xu, Ting-Hua, Jing-Ru Chen, and Li Tian. "Deformation Forecast of Deep Foundation Pit Based on Grey Forecast Model." In 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370573.

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Al-mannai, Kamla, Hassan Sajjad, Alaa Khader, Fahad Al Obaidli, Preslav Nakov, and Stephan Vogel. "Utilizing Monolingual Gulf Arabic Data For Qatari Arabic-english Statistical Machine Translation." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2014. http://dx.doi.org/10.5339/qfarc.2014.itpp1152.

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Reports on the topic "Machine Foundation"

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Scanlon, Raymond, and Mark Johnson. Machine Intelligence. Part 2. Biological Foundations. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada227180.

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Cary, Dakota. China’s CyberAI Talent Pipeline. Center for Security and Emerging Technology, July 2021. http://dx.doi.org/10.51593/2020ca017.

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To what extent does China’s cultivation of talent in cybersecurity and AI matter in terms of competitiveness with other countries? Right now, it seems to have an edge: China’s 11 World-Class Cybersecurity Schools offer more classes on artificial intelligence and machine learning than do the 20 U.S. universities certified as Centers of Academic Excellence in Cyber Operations. This policy brief recommends tracking 13 research grants from the National Science Foundation that attempt to integrate AI into cybersecurity curricula.

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Duersch, Jed, Thomas Catanach, and Ming Gu. CIS-LDRD Project 218313 Final Technical Report. Parsimonious Inference Information-Theoretic Foundations for a Complete Theory of Machine Learning. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1668936.

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Massachusetts specialty foundation company laborer dies in machinery entanglement. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, June 1994. http://dx.doi.org/10.26616/nioshsface93ma007.

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