Analysis and design of machine foundations at resonance

The design of machine foundations are done on the basis of two principal criteria viz., vibration amplitude should be within the permissible limits and natural frequency of machine-foundation-soil system should be away from the operating frequency (i.e. avoidance of resonance condition). In this paper the nondimensional amplitude factor M-m or M-r m and the nondimensional frequency factor a(o m) at resonance are related using elastic half space theory and is used as a new approach for a simplified design procedure for the design of machine foundations for all the modes of vibration fiz. vertical, horizontal, rocking and torsional for rigid base pressure distribution and weighted average displacement condition. The analysis show that one need not know the value of Poisson's ratio for rotating mass system for all the modes of vibration.

Prediction of frequency and amplitude of foundations at resonance

This note presents the statistical analysis carried out on some of the available experimental results to predict the resonant frequency and maximum displacement amplitude of a machine foundation – soil system under vertical vibration as a function of the size and weight of the foundation and of the excitation level. A total of 442 experimental results of Fry, Novak, and Raman have been analysed using nonlinear regression analysis. The results obtained compared well with predictions obtained from the popular theoretical models, and the coefficient of correlation obtained from the analysis was satisfactory in most of the cases.

Dynamic shear modulus as affected by displacement amplitude

The realistic estimation of the dynamic characteristics for a known set of loading conditions continues to be difficult despite many contributions in the past. The design of a machine foundation is generally made on the basis of limiting amplitude or resonant frequency. These parameters are in turn dependent on the dynamic characteristics of soil viz., the shear modulus/stiffness and damping. The work reported herein is an attempt to relate statistically the shear modulus of a soil to its resonant amplitude under a known set of static and dynamic loading conditions as well as wide ranging soil conditions. The two parameters have been statistically related with a good correlation coefficient and low standard error of estimate.

Análise vibratória de fundações de máquinas sobre estacas.

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.

Dynamic models of piled foundations

The vibration behavior of piled foundations is an important consideration in fields such as earthquake engineering, construction, machine-foundation design, offshore structures, nuclear energy, and road and rail development. This paper presents a review of the past 40 years' literature on modeling the frequency-dependent behavior of pile foundations. Beginning with the earliest model of a single pile, adapted from those for embedded footings, it charts the development of the four pile-modeling techniques: the "dynamic Winkler-foundation" approach that uses springs to represent the effect of the soil; elasticcontinuum-type formulations involving the analytical solutions for displacements due to a subsurface disk, cylinder, or other element; boundary element methods; and dynamic finite-element formulations with special nonreflecting boundaries. The modeling of pile groups involves accounting for pile-soil-pile interactions, and four such methods exist: interaction factors; complete pile models; the equivalent pier method; and periodic structure theory. Approaches for validating pile models are also explored. Copyright © 2013 by ASME.

Estudio de los riesgos técnicos aplicados al diseño y construcción de cimentaciones para máquinas

En el Código Técnico de la Edificación se define el riesgo como medida del alcance del peligro que representa un evento no deseado para las personas, expresado en términos de probabilidad vinculada a las consecuencias de un evento, también se expresa como Exigencia Básica de Resistencia y Estabilidad, que estas serán las adecuadas para que no se generen riesgos indebidos manteniendo la resistencia y estabilidad frente a las acciones e influencias previsibles durante la construcción y usos previstos de los edificios, y que además, los posibles eventos extraordinarios que puedan producirse no originen consecuencias desproporcionadas respecto a la causa original. Es ahora donde la gestión de riesgos juega un papel muy importante en la sociedad moderna, siendo esta cada vez más exigente con los resultados y calidad de productos y servicios, además de cumplir también con la responsabilidad jurídica que trae la concepción, diseño y construcción de proyectos de gran envergadura como los son la obra civil y edificación. La obra civil destinada al sector industrial debe ser ejecutada con la mayor precisión posible, pues requiere la instalación de complejos equipos y sistemas productivos que pueden producir esfuerzos dinámicos que muchas veces no se consideran en el diseño de los cimientos que lo soportan, razón por la cual interviene la gestión de riesgos para conocer y reducir los posibles riesgos de fallos que se puedan generar y así intentar aproximarse cada vez más al desarrollo de diseños eficientes y confiables, afianzando la exactitud y minimizando errores en la producción y elaboración de piezas, sistemas y equipos de las distintas áreas productivas de la industria. El presente trabajo de investigación se centra en el estudio de los riesgos técnicos existentes en el diseño y ejecución de cimentaciones para maquinarias, mediante la aplicación de varios métodos de investigación, a fin de intentar cubrir los aspectos más importantes que puedan incurrir en una posible causa de fallo de la estructura, evaluando el acoplamiento entre el sistema máquina-cimiento-suelo. Risk is defined, by the Technical Building Code (Código Técnico de la Edificación, CTE) as a measure of the scope of the hazard of an undesired event for people, expressed in terms of probability related to the consequences of an event, also is expressed as a Basic Requirement Strength and Stability these will be appropriate to not cause undue risk maintaining strength and stability against predictable actions and influences during construction and expected uses of the buildings. Nowadays, Risk Management is an important process in modern society, becoming ever more demanding about the results and quality of products and services, and also complies with the legal responsibility that brings the conception, design and construction of large projects as are civil engineering and construction projects. Civil work as a part of industry must be performed as accurately as possible, requiring the installation of sophisticated equipment and production systems which can produce dynamic forces that often are not considered in the design of the foundations, this is the reason why risk management is involved to understand and reduce the risks of failures that may arise and try to move closer to the development of efficient and reliable designs, strengthening the accuracy and minimizing errors in the production and processing of parts, systems and equipments from different production areas of the industry. This paper is a study of existing technical risks in the design and execution of foundations for machinery, through the application of various research methods, in order to try to cover the most important aspects that may produce the failure of the structure, evaluating the union between the machine-foundation system and soil.

The real-time refinement calculus: A foundation for machine-independent real-time programming

The real-time refinement calculus is an extension of the standard refinement calculus in which programs are developed from a precondition plus post-condition style of specification. In addition to adapting standard refinement rules to be valid in the real-time context, specific rules are required for the timing constructs such as delays and deadlines. Because many real-time programs may be nonterminating, a further extension is to allow nonterminating repetitions. A real-time specification constrains not only what values should be output, but when they should be output. Hence for a program to implement such a specification, it must guarantee to output values by the specified times. With standard programming languages such guarantees cannot be made without taking into account the timing characteristics of the implementation of the program on a particular machine. To avoid having to consider such details during the refinement process, we have extended our real-time programming language with a deadline command. The deadline command takes no time to execute and always guarantees to meet the specified time; if the deadline has already passed the deadline command is infeasible (miraculous in Dijkstra's terminology). When such a realtime program is compiled for a particular machine, one needs to ensure that all execution paths leading to a deadline are guaranteed to reach it by the specified time. We consider this checking as part of an extended compilation phase. The addition of the deadline command restores for the real-time language the advantage of machine independence enjoyed by non-real-time programming languages.

Lateralization of temporal lobe epilepsy based on resting-state functional magnetic resonance imaging and machine learning

Lateralization of temporal lobe epilepsy (TLE) is critical for successful outcome of surgery to relieve seizures. TLE affects brain regions beyond the temporal lobes and has been associated with aberrant brain networks, based on evidence from functional magnetic resonance imaging. We present here a machine learning-based method for determining the laterality of TLE, using features extracted from resting-state functional connectivity of the brain. A comprehensive feature space was constructed to include network properties within local brain regions, between brain regions, and across the whole network. Feature selection was performed based on random forest and a support vector machine was employed to train a linear model to predict the laterality of TLE on unseen patients. A leave-one-patient-out cross validation was carried out on 12 patients and a prediction accuracy of 83% was achieved. The importance of selected features was analyzed to demonstrate the contribution of resting-state connectivity attributes at voxel, region, and network levels to TLE lateralization.

Support vector machine applied to settlement of shallow foundations on cohesionless soils

The determination of settlement of shallow foundations on cohesionless soil is an important task in geotechnical engineering. Available methods for the determination of settlement are not reliable. In this study, the support vector machine (SVM), a novel type of learning algorithm based on statistical theory, has been used to predict the settlement of shallow foundations on cohesionless soil. SVM uses a regression technique by introducing an ε – insensitive loss function. A thorough sensitive analysis has been made to ascertain which parameters are having maximum influence on settlement. The study shows that SVM has the potential to be a useful and practical tool for prediction of settlement of shallow foundation on cohesionless soil.

Dynamic response of latex modified concrete machine foundations

New materials in concrete constructions have been widely used to improve various properties such as impact resistance, strength and durability. Polymer modified concrete is one of the new materials which has been developed for potential application in the construction industry. This Paper describes the use of polymer latex for foundation blocks subjected to dynamic loads. Experiments were conducted using ordinary concrete and latex modified concrete footings of three different thicknesses, for three static loads at four excitation levels. Experimental results have revealed that the amplitude of resonance is reduced considerably in the latex modified concrete footings.

Power system parameters forecasting using Hilbert-Huang transform and machine learning

A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and a feature analysis of initial retrospective data using the Hilbert-Huang transform and machine learning algorithms. The random forests and gradient boosting trees learning techniques were examined. The decision tree techniques were used to rank the importance of variables employed in the forecasting models. The Mean Decrease Gini index is employed as an impurity function. The resulting hybrid forecasting models employ the radial basis function neural network and support vector regression. A part from introduction and references the paper is organized as follows. The second section presents the background and the review of several approaches for short-term forecasting of power system parameters. In the third section a hybrid machine learningbased algorithm using Hilbert-Huang transform is developed for short-term forecasting of power system parameters. Fourth section describes the decision tree learning algorithms used for the issue of variables importance. Finally in section six the experimental results in the following electric power problems are presented: active power flow forecasting, electricity price forecasting and for the wind speed and direction forecasting.

Wave loads on the foundation of a bottom-hinged modular flap structure

Large loads result in expensive foundations which are a substantial proportion of the capital cost of flap-type Wave Energy Converters (WECs). Devices such as Oyster 800, currently deployed at the European Marine Energy Centre (EMEC), comprise a single flap for the full width of the machine. Splitting a flap-type device into smaller vertical flap modules, to make a ‘modular-flap’, might reduce the total foundation loads, whilst still providing acceptable performance in terms of energy conversion.
This paper investigates the foundation loads of an undamped modular-flap device, comparing them to those for a rigid flap of an equivalent width. Physical modelling in a wave tank is used, with loads recorded using a six degree of freedom (DoF) load cell. Both fatigue and extreme loading analysis was conducted. The rotations of the flaps were also recorded, using a motion-tracking system.

Uma arquitetura baseada em agentes para configuração dinâmica de aplicações inteligentes em ambiente foundation fieldbus

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

On Nonlinear Dynamics and Control of A Particular Portal Frame Foundation Model, Excited by a Non-Ideal Motor

The nonlinear dynamic response and a nonlinear control method of a particular portal frame foundation for an unbalanced rotating machine with limited power (non-ideal motor) are examined. Numerical simulations are performed for a set of control parameters (depending on the voltage of the motor) related to the static and dynamic characteristics of the motor. The interaction of the structure with the excitation source may lead to the occurrence of interesting phenomena during the forward passage through the several resonance states of the systems. A mathematical model having two degrees of freedom simplifies the non-ideal system. The study of controlling steady-state vibrations of the non-ideal system is based on the saturation phenomenon due to internal resonance.

The role of voice input for human-machine communication.

Optimism is growing that the near future will witness rapid growth in human-computer interaction using voice. System prototypes have recently been built that demonstrate speaker-independent real-time speech recognition, and understanding of naturally spoken utterances with vocabularies of 1000 to 2000 words, and larger. Already, computer manufacturers are building speech recognition subsystems into their new product lines. However, before this technology can be broadly useful, a substantial knowledge base is needed about human spoken language and performance during computer-based spoken interaction. This paper reviews application areas in which spoken interaction can play a significant role, assesses potential benefits of spoken interaction with machines, and compares voice with other modalities of human-computer interaction. It also discusses information that will be needed to build a firm empirical foundation for the design of future spoken and multimodal interfaces. Finally, it argues for a more systematic and scientific approach to investigating spoken input and performance with future language technology.