This document presents the elasticity solution for a cantilever beam with a rectangular cross-section loaded by a concentrated force at its free end. It derives expressions for the stresses, strains, and displacements using the Airy stress function. Three different boundary conditions at the fixed end are considered, resulting in slightly different expressions for the displacements and elastic curve. Shear deformations are found to be more significant for short, deep beams, causing greater transverse deflections than classical beam theory predicts. For beams with span-to-depth ratios over 10, shear effects are negligible and classical theory is accurate.
The Wronskian of two functions y1 and y2, denoted W(y1,y2), determines whether y1 and y2 are linearly independent solutions to a differential equation. If W(y1,y2) is nonzero at some point in the interval, then y1 and y2 are linearly independent over that entire interval. Additionally, y1 and y2 are linearly dependent over an interval if and only if W(y1,y2) is zero for all points in that interval. The Wronskian also determines whether y1 and y2 form a fundamental set of solutions.
This chapter discusses the stability and behavior of columns under compressive loads. It begins by introducing columns and their goals of studying stability, critical load, effective length, and the secant formula. It then covers the stability of structures and Euler's formula for pin-ended columns. Subsequent sections extend Euler's formula to other end conditions, discuss eccentric loading and the secant formula, and address design of columns under centric and eccentric loads using empirical equations and allowable stress or load resistance factor approaches.
This document discusses the application of fixed-point theorems to solve ordinary differential equations. It begins by introducing the Banach contraction principle and proving it. It then states two other important fixed-point theorems - the Schauder-Tychonoff theorem and the Leray-Schauder theorem. The rest of the document focuses on proving the Schauder-Tychonoff theorem, which characterizes compact subsets of function spaces and shows that if an operator maps into a relatively compact subset, it has a fixed point. This allows the fixed-point theorems to be applied to finding solutions to differential equations.
This document discusses the application of fixed-point theorems to solve ordinary differential equations. It begins by introducing the Banach contraction principle and proving it. It then states two other important fixed-point theorems - the Schauder-Tychonoff theorem and the Leray-Schauder theorem. The rest of the document focuses on proving the Schauder-Tychonoff theorem, which characterizes compact subsets of function spaces and shows that if an operator maps into a relatively compact subset, it has a fixed point. This allows the fixed-point theorems to be applied to finding solutions to differential equations.
This document provides solutions to problems related to waves and diffraction in solids. It covers topics such as Fourier analysis, group velocity, dispersion, physical examples of waves including phonons and lattice vibrations, Maxwell's equations, x-ray scattering, experimental diffraction methods, quantum behavior of phonons, and statistical mechanics. The document contains detailed solutions to problems in each of these areas of waves and diffraction in solids.
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...BRNSS Publication Hub
We know that a large number of problems in differential equations can be reduced to finding the solution x to an equation of the form Tx=y. The operator T maps a subset of a Banach space X into another Banach space Y and y is a known element of Y. If y=0 and Tx=Ux−x, for another operator U, the equation Tx=y is equivalent to the equation Ux=x. Naturally, to solve Ux=x, we must assume that the range R (U) and the domain D (U) have points in common. Points x for which Ux=x are called fixed points of the operator U. In this work, we state the main fixed-point theorems that are most widely used in the field of differential equations. These are the Banach contraction principle, the Schauder–Tychonoff theorem, and the Leray–Schauder theorem. We will only prove the first theorem and then proceed.
This document summarizes Andrew Hone's talk on reductions of the discrete Hirota (discrete KP) equation. Plane wave reductions of the discrete Hirota equation yield Somos-type recurrence relations. Reductions of the discrete Hirota Lax pair give scalar Lax pairs with spectral parameters. Certain reductions produce periodic coefficients, leading to cluster algebra structures. Reductions of the discrete KdV equation are also considered, giving bi-Hamiltonian structures.
The Wronskian of two functions y1 and y2, denoted W(y1,y2), determines whether y1 and y2 are linearly independent solutions to a differential equation. If W(y1,y2) is nonzero at some point in the interval, then y1 and y2 are linearly independent over that entire interval. Additionally, y1 and y2 are linearly dependent over an interval if and only if W(y1,y2) is zero for all points in that interval. The Wronskian also determines whether y1 and y2 form a fundamental set of solutions.
This chapter discusses the stability and behavior of columns under compressive loads. It begins by introducing columns and their goals of studying stability, critical load, effective length, and the secant formula. It then covers the stability of structures and Euler's formula for pin-ended columns. Subsequent sections extend Euler's formula to other end conditions, discuss eccentric loading and the secant formula, and address design of columns under centric and eccentric loads using empirical equations and allowable stress or load resistance factor approaches.
This document discusses the application of fixed-point theorems to solve ordinary differential equations. It begins by introducing the Banach contraction principle and proving it. It then states two other important fixed-point theorems - the Schauder-Tychonoff theorem and the Leray-Schauder theorem. The rest of the document focuses on proving the Schauder-Tychonoff theorem, which characterizes compact subsets of function spaces and shows that if an operator maps into a relatively compact subset, it has a fixed point. This allows the fixed-point theorems to be applied to finding solutions to differential equations.
This document discusses the application of fixed-point theorems to solve ordinary differential equations. It begins by introducing the Banach contraction principle and proving it. It then states two other important fixed-point theorems - the Schauder-Tychonoff theorem and the Leray-Schauder theorem. The rest of the document focuses on proving the Schauder-Tychonoff theorem, which characterizes compact subsets of function spaces and shows that if an operator maps into a relatively compact subset, it has a fixed point. This allows the fixed-point theorems to be applied to finding solutions to differential equations.
This document provides solutions to problems related to waves and diffraction in solids. It covers topics such as Fourier analysis, group velocity, dispersion, physical examples of waves including phonons and lattice vibrations, Maxwell's equations, x-ray scattering, experimental diffraction methods, quantum behavior of phonons, and statistical mechanics. The document contains detailed solutions to problems in each of these areas of waves and diffraction in solids.
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...BRNSS Publication Hub
We know that a large number of problems in differential equations can be reduced to finding the solution x to an equation of the form Tx=y. The operator T maps a subset of a Banach space X into another Banach space Y and y is a known element of Y. If y=0 and Tx=Ux−x, for another operator U, the equation Tx=y is equivalent to the equation Ux=x. Naturally, to solve Ux=x, we must assume that the range R (U) and the domain D (U) have points in common. Points x for which Ux=x are called fixed points of the operator U. In this work, we state the main fixed-point theorems that are most widely used in the field of differential equations. These are the Banach contraction principle, the Schauder–Tychonoff theorem, and the Leray–Schauder theorem. We will only prove the first theorem and then proceed.
This document summarizes Andrew Hone's talk on reductions of the discrete Hirota (discrete KP) equation. Plane wave reductions of the discrete Hirota equation yield Somos-type recurrence relations. Reductions of the discrete Hirota Lax pair give scalar Lax pairs with spectral parameters. Certain reductions produce periodic coefficients, leading to cluster algebra structures. Reductions of the discrete KdV equation are also considered, giving bi-Hamiltonian structures.
The document summarizes the solution process for determining the deflection, bending moment, and stress of a simply supported beam subjected to an external forcing function. Natural frequencies are calculated as ωn = n^2π^2/L^2(EI/ρA). Mode shapes are sinusoidal functions of nπx/L. Forced response is determined using mode superposition, yielding a deflection proportional to sin(Ωt) and sin(ω1t) with spatial dependence of sin(πx/L). Bending moment and stress are derived from deflection and have the same functional forms.
This document discusses improving the continuous operation of Vasilescu-Karpen's concentration pile, which produces electricity while lowering the temperature of the electrolyte and environment. It presents the historical context of electrochemistry and outlines a two-dimensional mathematical model and equation transformations for numerically analyzing the pile's electric, magnetic, temperature, velocity, and density fields. The model considers heat transfer effects and variable liquid density. Specific boundary conditions are defined for steady-state operation. Stable and unstable operating regimes are identified based on the pile's heating and cooling energy functions.
The document discusses wave propagation in diffraction gratings and crystal lattices. It contains solutions to the equations of motion for 1D lattices with periodic boundary conditions.
In 3 sentences:
1) Vector diagrams are used to derive an expression for the intensity of light from multiple slits in a diffraction grating as a function of the number of slits and their spacing.
2) Snell's law and trigonometric relationships give the angular dependence of refracted seismic waves propagating through an inner solid core surrounded by liquid in terms of material properties.
3) The equations of motion for particles in 1D lattices with periodic boundary conditions yield standing wave solutions where the displacement of each particle is a superposition
This document discusses the vibration of continuous systems such as beams. It shows that a continuous system can be modeled as having an infinite number of masses. The governing differential equation is derived and solved using normal mode analysis. Normal modes and natural frequencies are determined by applying boundary conditions. The total response is the sum of responses from each normal mode, allowing a continuous system to be treated as uncoupled single-degree-of-freedom systems. Examples are given for a simply supported beam under free and forced vibration.
Computing f-Divergences and Distances of\\ High-Dimensional Probability Densi...Alexander Litvinenko
Talk presented on SIAM IS 2022 conference.
Very often, in the course of uncertainty quantification tasks or
data analysis, one has to deal with high-dimensional random variables (RVs)
(with values in $\Rd$). Just like any other RV,
a high-dimensional RV can be described by its probability density (\pdf) and/or
by the corresponding probability characteristic functions (\pcf),
or a more general representation as
a function of other, known, random variables.
Here the interest is mainly to compute characterisations like the entropy, the Kullback-Leibler, or more general
$f$-divergences. These are all computed from the \pdf, which is often not available directly,
and it is a computational challenge to even represent it in a numerically
feasible fashion in case the dimension $d$ is even moderately large. It
is an even stronger numerical challenge to then actually compute said characterisations
in the high-dimensional case.
In this regard, in order to achieve a computationally feasible task, we propose
to approximate density by a low-rank tensor.
1) The document presents Von Karman 3D procedures as a generalization of Westergaard 2D formulae for estimating hydrodynamic forces on dams during earthquakes.
2) Westergaard's 2D formulae have limitations and can produce singularities, while Von Karman's approach is non-periodic and non-singular with easier generalization to 3D.
3) Numerical examples show that accounting for 3D effects through Von Karman procedures can increase estimated overturning moments on dams by up to 7% compared to 2D Westergaard formulae.
Kittel c. introduction to solid state physics 8 th edition - solution manualamnahnura
1. The document discusses crystallographic planes and directions in a cube, the Miller indices of planes with respect to primitive axes, and the spacing between dots projected onto different planes of a crystal structure.
2. Key concepts from crystallography such as Miller indices, primitive lattice vectors, reciprocal lattice vectors, and the first Brillouin zone are defined. Calculations of interplanar spacing and lattice parameters are shown for simple cubic and face-centered cubic lattices.
3. Binding energies, cohesive energies, and equilibrium properties are calculated and compared for body-centered cubic and face-centered cubic crystal structures. Approximations made in describing crystal binding using Madelung energies and pair potentials are
- The document provides the solution to problem 25.72 from the textbook, which asks to derive an expression for the total electric potential energy of a solid sphere with uniform charge density.
- The sphere is modeled as being built up of concentric spherical shells, with each shell carrying a small charge dq.
- The expression derived for the total potential energy is Ue = (3/5)kεQ2/R, where Q is the total charge on the sphere, R is the radius, and kε is the Coulomb's constant.
- The derivation involves integrating the electric potential energy dUe = Vdq over the volume of the sphere, where V is the potential and dq is the charge
The document summarizes Fourier transform techniques. It begins by defining the Fourier transform and inverse Fourier transform, and provides some examples of calculating transforms. It then discusses properties like convolutions and transforms of derivatives. Finally, it gives examples of using Fourier transforms to solve ordinary and partial differential equations, transforming the equations to eliminate derivatives in one variable and solving the resulting equations.
Coincidence points for mappings under generalized contractionAlexander Decker
1. The document presents a theorem that establishes conditions for the existence of coincidence points between multi-valued and single-valued mappings.
2. It generalizes previous results by Feng and Liu (2004) and Liu et al. (2005) by relaxing the contraction conditions.
3. The main theorem proves that if mappings T and f satisfy generalized contraction conditions involving α and β functions, and the space is orbitally complete, then the mappings have a coincidence point.
Torsional vibrations and buckling of thin WALLED BEAMSSRINIVASULU N V
The document discusses the torsional vibrations and buckling of thin-walled beams on elastic foundation using a dynamic stiffness matrix method. It develops analytical equations to model the behavior of clamped-simply supported beams under an axial load and resting on an elastic foundation. Numerical results are presented for natural frequencies and buckling loads for different values of warping and foundation parameters. The dynamic stiffness matrix approach can accurately analyze beams with non-uniform cross-sections and complex boundary conditions.
Non equilibrium thermodynamics in multiphase flowsSpringer
This chapter discusses the principle of microscopic reversibility and its implications. It can be summarized as follows:
1) The principle of microscopic reversibility states that the probability of a molecular process occurring is equal to the probability of the reverse process at equilibrium.
2) This leads to the rule of detailed balances and Onsager's reciprocity relations, which relate the linear response of a system to external perturbations to its intrinsic fluctuation properties.
3) The reciprocity relations require that the Onsager coefficients relating fluxes to forces be symmetric. Various formulations of the fluctuation-dissipation theorem are also derived from microscopic reversibility.
Non equilibrium thermodynamics in multiphase flowsSpringer
This chapter discusses the principle of microscopic reversibility and its implications. It can be summarized as follows:
1) The principle of microscopic reversibility states that the probability of a molecular process occurring is equal to the probability of the reverse process at equilibrium.
2) This leads to the rule of detailed balances and Onsager's reciprocity relations, which relate the linear response of a system to external perturbations to its intrinsic fluctuation properties.
3) The reciprocity relations require that the Onsager coefficients relating fluxes to forces be symmetric. Various formulations of the fluctuation-dissipation theorem are also derived from microscopic reversibility.
The purpose of this note is to elaborate in how far a 4 factor affine model can generate an incomplete bond market together with the flexibility of a 3 factor flexible affine cascade structure model.
This document discusses fluid flow in pipes under pressure. It presents equations to describe laminar and turbulent flow. For laminar flow, the Hagen-Poiseuille equation gives the relationship between pressure drop and flow rate. For turbulent flow, the velocity profile consists of a thin viscous sublayer near the wall and a fully turbulent center zone. Equations are derived to describe velocity profiles in both the sublayer and center zone based on viscosity and turbulence effects. Pipes are classified as smooth or rough depending on roughness size compared to the sublayer thickness.
This document summarizes numerical studies of line soliton solutions to the Kadomtsev-Petviashvili (KP) equation. The KP equation models nonlinear shallow water waves and admits exact solitary wave solutions called line solitons. The document presents pseudospectral schemes for numerically solving the KP equation with initial conditions formed from pieces of exact one-soliton solutions. It demonstrates convergence of the numerical solutions to three types of exact two-soliton solutions: a (3142)-soliton, a Y-shaped soliton, and an O-shaped soliton. Parameters in the exact solutions are optimized to minimize the error between numerical and exact solutions.
The document contains 10 problems involving electromagnetic induction and Maxwell's equations. Problem 10.1 involves calculating the voltage and current in a circuit with a changing magnetic flux. Problem 10.2 replaces a voltmeter with a resistor and calculates the resulting current. Problem 10.3 calculates the emf induced in closed paths with changing magnetic fluxes.
The document contains 10 problems involving electromagnetic induction and Maxwell's equations. Problem 10.1 involves calculating the voltage and current in a circuit with a changing magnetic flux. Problem 10.2 replaces a voltmeter with a resistor and calculates the resulting current. Problem 10.3 calculates the emf induced in two different rectangular paths with a given magnetic field.
This document provides an introduction and solutions to problems in Modern Particle Physics. It contains 18 chapters covering topics in particle physics like the Dirac equation, decay rates, scattering processes, and the Standard Model. The preface explains that the guide gives numerical solutions and hints to help understand questions from the first edition of the textbook. Instructors can obtain fully worked solutions from the publisher.
1) The document analyzes particle collisions near the horizon of 1+1 dimensional Hořava-Lifshitz black holes.
2) It finds that for particles moving in opposite directions, the center-of-mass energy becomes arbitrarily high as one particle approaches the horizon, similar to the Banados-Silk-West effect found in higher dimensions.
3) Several examples are examined, including Schwarzschild-like and Reissner-Nordström-like black hole solutions, and all are found to produce infinite center-of-mass energy near the horizon.
U2 Thyristor open circuit troubleshooting 23_Jan_2019.pptxasprilla mangombe
The document summarizes troubleshooting done for a thyristor open circuit alarm on a power station unit. Actions taken included monitoring the exciter PLC and collecting raw data. Findings showed the alarm was occurring when either converter was in use, currents were balanced, and signals from two analogue input modules were lower. It was recommended to check the functionality of the DCCTs with a process calibrator.
The document discusses the Motorola HC11 microcontroller. It provides an overview of microcontrollers in general and describes some key features of the HC11, including its CPU core, addressing modes, instruction set, and programming. The HC11 has an 8-bit CPU, on-chip memory and peripherals, and supports various addressing modes and instruction types for arithmetic, logical, and program control operations. It is commonly used in embedded systems and products like appliances, thermostats, and industrial equipment.
The document summarizes the solution process for determining the deflection, bending moment, and stress of a simply supported beam subjected to an external forcing function. Natural frequencies are calculated as ωn = n^2π^2/L^2(EI/ρA). Mode shapes are sinusoidal functions of nπx/L. Forced response is determined using mode superposition, yielding a deflection proportional to sin(Ωt) and sin(ω1t) with spatial dependence of sin(πx/L). Bending moment and stress are derived from deflection and have the same functional forms.
This document discusses improving the continuous operation of Vasilescu-Karpen's concentration pile, which produces electricity while lowering the temperature of the electrolyte and environment. It presents the historical context of electrochemistry and outlines a two-dimensional mathematical model and equation transformations for numerically analyzing the pile's electric, magnetic, temperature, velocity, and density fields. The model considers heat transfer effects and variable liquid density. Specific boundary conditions are defined for steady-state operation. Stable and unstable operating regimes are identified based on the pile's heating and cooling energy functions.
The document discusses wave propagation in diffraction gratings and crystal lattices. It contains solutions to the equations of motion for 1D lattices with periodic boundary conditions.
In 3 sentences:
1) Vector diagrams are used to derive an expression for the intensity of light from multiple slits in a diffraction grating as a function of the number of slits and their spacing.
2) Snell's law and trigonometric relationships give the angular dependence of refracted seismic waves propagating through an inner solid core surrounded by liquid in terms of material properties.
3) The equations of motion for particles in 1D lattices with periodic boundary conditions yield standing wave solutions where the displacement of each particle is a superposition
This document discusses the vibration of continuous systems such as beams. It shows that a continuous system can be modeled as having an infinite number of masses. The governing differential equation is derived and solved using normal mode analysis. Normal modes and natural frequencies are determined by applying boundary conditions. The total response is the sum of responses from each normal mode, allowing a continuous system to be treated as uncoupled single-degree-of-freedom systems. Examples are given for a simply supported beam under free and forced vibration.
Computing f-Divergences and Distances of\\ High-Dimensional Probability Densi...Alexander Litvinenko
Talk presented on SIAM IS 2022 conference.
Very often, in the course of uncertainty quantification tasks or
data analysis, one has to deal with high-dimensional random variables (RVs)
(with values in $\Rd$). Just like any other RV,
a high-dimensional RV can be described by its probability density (\pdf) and/or
by the corresponding probability characteristic functions (\pcf),
or a more general representation as
a function of other, known, random variables.
Here the interest is mainly to compute characterisations like the entropy, the Kullback-Leibler, or more general
$f$-divergences. These are all computed from the \pdf, which is often not available directly,
and it is a computational challenge to even represent it in a numerically
feasible fashion in case the dimension $d$ is even moderately large. It
is an even stronger numerical challenge to then actually compute said characterisations
in the high-dimensional case.
In this regard, in order to achieve a computationally feasible task, we propose
to approximate density by a low-rank tensor.
1) The document presents Von Karman 3D procedures as a generalization of Westergaard 2D formulae for estimating hydrodynamic forces on dams during earthquakes.
2) Westergaard's 2D formulae have limitations and can produce singularities, while Von Karman's approach is non-periodic and non-singular with easier generalization to 3D.
3) Numerical examples show that accounting for 3D effects through Von Karman procedures can increase estimated overturning moments on dams by up to 7% compared to 2D Westergaard formulae.
Kittel c. introduction to solid state physics 8 th edition - solution manualamnahnura
1. The document discusses crystallographic planes and directions in a cube, the Miller indices of planes with respect to primitive axes, and the spacing between dots projected onto different planes of a crystal structure.
2. Key concepts from crystallography such as Miller indices, primitive lattice vectors, reciprocal lattice vectors, and the first Brillouin zone are defined. Calculations of interplanar spacing and lattice parameters are shown for simple cubic and face-centered cubic lattices.
3. Binding energies, cohesive energies, and equilibrium properties are calculated and compared for body-centered cubic and face-centered cubic crystal structures. Approximations made in describing crystal binding using Madelung energies and pair potentials are
- The document provides the solution to problem 25.72 from the textbook, which asks to derive an expression for the total electric potential energy of a solid sphere with uniform charge density.
- The sphere is modeled as being built up of concentric spherical shells, with each shell carrying a small charge dq.
- The expression derived for the total potential energy is Ue = (3/5)kεQ2/R, where Q is the total charge on the sphere, R is the radius, and kε is the Coulomb's constant.
- The derivation involves integrating the electric potential energy dUe = Vdq over the volume of the sphere, where V is the potential and dq is the charge
The document summarizes Fourier transform techniques. It begins by defining the Fourier transform and inverse Fourier transform, and provides some examples of calculating transforms. It then discusses properties like convolutions and transforms of derivatives. Finally, it gives examples of using Fourier transforms to solve ordinary and partial differential equations, transforming the equations to eliminate derivatives in one variable and solving the resulting equations.
Coincidence points for mappings under generalized contractionAlexander Decker
1. The document presents a theorem that establishes conditions for the existence of coincidence points between multi-valued and single-valued mappings.
2. It generalizes previous results by Feng and Liu (2004) and Liu et al. (2005) by relaxing the contraction conditions.
3. The main theorem proves that if mappings T and f satisfy generalized contraction conditions involving α and β functions, and the space is orbitally complete, then the mappings have a coincidence point.
Torsional vibrations and buckling of thin WALLED BEAMSSRINIVASULU N V
The document discusses the torsional vibrations and buckling of thin-walled beams on elastic foundation using a dynamic stiffness matrix method. It develops analytical equations to model the behavior of clamped-simply supported beams under an axial load and resting on an elastic foundation. Numerical results are presented for natural frequencies and buckling loads for different values of warping and foundation parameters. The dynamic stiffness matrix approach can accurately analyze beams with non-uniform cross-sections and complex boundary conditions.
Non equilibrium thermodynamics in multiphase flowsSpringer
This chapter discusses the principle of microscopic reversibility and its implications. It can be summarized as follows:
1) The principle of microscopic reversibility states that the probability of a molecular process occurring is equal to the probability of the reverse process at equilibrium.
2) This leads to the rule of detailed balances and Onsager's reciprocity relations, which relate the linear response of a system to external perturbations to its intrinsic fluctuation properties.
3) The reciprocity relations require that the Onsager coefficients relating fluxes to forces be symmetric. Various formulations of the fluctuation-dissipation theorem are also derived from microscopic reversibility.
Non equilibrium thermodynamics in multiphase flowsSpringer
This chapter discusses the principle of microscopic reversibility and its implications. It can be summarized as follows:
1) The principle of microscopic reversibility states that the probability of a molecular process occurring is equal to the probability of the reverse process at equilibrium.
2) This leads to the rule of detailed balances and Onsager's reciprocity relations, which relate the linear response of a system to external perturbations to its intrinsic fluctuation properties.
3) The reciprocity relations require that the Onsager coefficients relating fluxes to forces be symmetric. Various formulations of the fluctuation-dissipation theorem are also derived from microscopic reversibility.
The purpose of this note is to elaborate in how far a 4 factor affine model can generate an incomplete bond market together with the flexibility of a 3 factor flexible affine cascade structure model.
This document discusses fluid flow in pipes under pressure. It presents equations to describe laminar and turbulent flow. For laminar flow, the Hagen-Poiseuille equation gives the relationship between pressure drop and flow rate. For turbulent flow, the velocity profile consists of a thin viscous sublayer near the wall and a fully turbulent center zone. Equations are derived to describe velocity profiles in both the sublayer and center zone based on viscosity and turbulence effects. Pipes are classified as smooth or rough depending on roughness size compared to the sublayer thickness.
This document summarizes numerical studies of line soliton solutions to the Kadomtsev-Petviashvili (KP) equation. The KP equation models nonlinear shallow water waves and admits exact solitary wave solutions called line solitons. The document presents pseudospectral schemes for numerically solving the KP equation with initial conditions formed from pieces of exact one-soliton solutions. It demonstrates convergence of the numerical solutions to three types of exact two-soliton solutions: a (3142)-soliton, a Y-shaped soliton, and an O-shaped soliton. Parameters in the exact solutions are optimized to minimize the error between numerical and exact solutions.
The document contains 10 problems involving electromagnetic induction and Maxwell's equations. Problem 10.1 involves calculating the voltage and current in a circuit with a changing magnetic flux. Problem 10.2 replaces a voltmeter with a resistor and calculates the resulting current. Problem 10.3 calculates the emf induced in closed paths with changing magnetic fluxes.
The document contains 10 problems involving electromagnetic induction and Maxwell's equations. Problem 10.1 involves calculating the voltage and current in a circuit with a changing magnetic flux. Problem 10.2 replaces a voltmeter with a resistor and calculates the resulting current. Problem 10.3 calculates the emf induced in two different rectangular paths with a given magnetic field.
This document provides an introduction and solutions to problems in Modern Particle Physics. It contains 18 chapters covering topics in particle physics like the Dirac equation, decay rates, scattering processes, and the Standard Model. The preface explains that the guide gives numerical solutions and hints to help understand questions from the first edition of the textbook. Instructors can obtain fully worked solutions from the publisher.
1) The document analyzes particle collisions near the horizon of 1+1 dimensional Hořava-Lifshitz black holes.
2) It finds that for particles moving in opposite directions, the center-of-mass energy becomes arbitrarily high as one particle approaches the horizon, similar to the Banados-Silk-West effect found in higher dimensions.
3) Several examples are examined, including Schwarzschild-like and Reissner-Nordström-like black hole solutions, and all are found to produce infinite center-of-mass energy near the horizon.
U2 Thyristor open circuit troubleshooting 23_Jan_2019.pptxasprilla mangombe
The document summarizes troubleshooting done for a thyristor open circuit alarm on a power station unit. Actions taken included monitoring the exciter PLC and collecting raw data. Findings showed the alarm was occurring when either converter was in use, currents were balanced, and signals from two analogue input modules were lower. It was recommended to check the functionality of the DCCTs with a process calibrator.
The document discusses the Motorola HC11 microcontroller. It provides an overview of microcontrollers in general and describes some key features of the HC11, including its CPU core, addressing modes, instruction set, and programming. The HC11 has an 8-bit CPU, on-chip memory and peripherals, and supports various addressing modes and instruction types for arithmetic, logical, and program control operations. It is commonly used in embedded systems and products like appliances, thermostats, and industrial equipment.
This document discusses solution procedures for elasticity problems, specifically the use of stress functions. It introduces the inverse method where a stress function is assumed that satisfies equilibrium, then the stresses are determined from the function. This yields an exact solution. The semi-inverse method is similar but makes simplifying assumptions based on physical intuition to obtain solvable equations. Stress functions are presented for examples of uniaxial loading and stress around a hole to illustrate the methods.
This document discusses power factor correction, which is a process that improves the efficiency of electrical power systems by reducing reactive power. Inductive loads like motors cause current to lag voltage, reducing the power factor. Power factor correction involves adding capacitors, which create a leading current to compensate for the lagging current from inductive loads. This brings the power factor closer to 1, reducing losses and improving efficiency for both the power supplier and consumer.
This document provides information on B-Tech's drives and softstarters product catalogue. It includes summaries of their BT8 series V/f control frequency inverters and BT-GJ3 series soft starters. The BT8 inverters are available in single or three phase models from 0.75KW to 630KW for applications like general use, pumps, fans or heavy loads. The BT-GJ3 soft starters are available from 5.5KW to 630KW to smoothly start motors and protect other equipment. The document promotes B-Tech's competitive pricing and quality products and services.
This document discusses testing, efficiency, and regulation of transformers. It describes how open circuit and short circuit tests are used to determine the parameters of an equivalent circuit model for a transformer. The open circuit test provides the magnetizing reactance and core loss resistance, while the short circuit test provides the winding resistance and leakage reactance. Transformer efficiency is defined and an expression is derived showing it depends on loading level and power factor. Maximum efficiency occurs when loading equals the ratio of core to copper losses. Regulation is also introduced but not defined. All-day efficiency accounts for varying loads over time to assess overall transformer performance.
This document provides instructions for an embedded systems lab experiment involving controlling LED lights using a light dependent resistor (LDR) sensor and a PIC18F4550 microcontroller. The objectives are to learn how to design embedded systems circuits, initialize a microcontroller, and program the PIC18F4550 to control LEDs based on light intensity readings from the LDR sensor. Students will write a program to read analog voltage values from the LDR, map those values to 3 modes of LED operation, and switch the LEDs accordingly. They will test their designed circuit and program, and answer questions about varying the light intensity, measuring resistances and voltages for each mode.
The pulse accumulator on the HC12 microcontroller can operate in two modes: event-count mode and gated time accumulation mode. In event-count mode, it counts the number of rising or falling edges on a pin and stores the count in a 16-bit register. In gated time accumulation mode, it counts clock cycles while the pin is high or low. The pulse accumulator uses three registers to control its operation and store counts. A C program example is provided to demonstrate how to set up and use the pulse accumulator to count rising edges on a pin.
The document discusses various types of phase-controlled converters including single-phase and three-phase semiconverters, full converters, and dual converters. It provides details on their operating characteristics, modes, and derivations of output voltages and currents. Specifically, it describes a three-phase half-wave converter with an RL load and derives an expression for the average output voltage under continuous load current conditions. Trigonometric relationships between the three-phase supply voltages are used in the derivation.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...amsjournal
The Fourth Industrial Revolution is transforming industries, including healthcare, by integrating digital,
physical, and biological technologies. This study examines the integration of 4.0 technologies into
healthcare, identifying success factors and challenges through interviews with 70 stakeholders from 33
countries. Healthcare is evolving significantly, with varied objectives across nations aiming to improve
population health. The study explores stakeholders' perceptions on critical success factors, identifying
challenges such as insufficiently trained personnel, organizational silos, and structural barriers to data
exchange. Facilitators for integration include cost reduction initiatives and interoperability policies.
Technologies like IoT, Big Data, AI, Machine Learning, and robotics enhance diagnostics, treatment
precision, and real-time monitoring, reducing errors and optimizing resource utilization. Automation
improves employee satisfaction and patient care, while Blockchain and telemedicine drive cost reductions.
Successful integration requires skilled professionals and supportive policies, promising efficient resource
use, lower error rates, and accelerated processes, leading to optimized global healthcare outcomes.
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scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
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solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
1. 10.1 Bending of a Cantilever Loaded at its End
Consider a cantilever beam with rectangular cross-section of unit width. The beam
is loaded by a concentrated force P applied at its tip in the manner shown in Figure 10.1.
c
c
P
y
x
L
1
Figure 10.1: Cantilever Beam Loaded by Concentrated Load
• Elasticity Solution
The elasticity solution for this problem is again obtained using a Airy stress func-
tion [1]. In this case,
Φ = b2xy −
d4
6
xy3
(10.1)
where b2 and d4 are constants. Recalling the relation between stresses in the x−y plane and
Φ, it follows that
σ11 =
∂2
Φ
∂y2
= −d4xy , σ22 =
∂2
Φ
∂x2
= 0 , σ12 = −
∂2
Φ
∂x∂y
= −b2 +
d4
2
y2
(10.2)
The constants b2 and d4 are evaluated by first noting that the longitudinal sides
y = ±c are free from force, implying that σ12 = 0. It therefore follows that
−b2 +
d4
2
y2
= 0 ⇒ b2 =
d4
2
c2
(10.3)
1
2. Thus, equations (10.2) become
σ11 = −d4xy , σ22 = 0 , σ12 =
d4
2
(
y2
− c2
)
(10.4)
To evaluate d4 we note that at the loaded end the shearing forces must sum to P.
Thus, accounting for the proper sign for σ12, leads to
−
∫
A
σ12 dA = P (10.5)
Specializing this equation for the cantilever beam under consideration and integrating
the resulting expression gives
−
∫ c
−c
d4
2
(
y2
− c2
)
(1)dy = −d4
(
1
3
y3
− c2
y
)
3.
4.
5.
6. c
0
=
2
3
d4c3
= P (10.6)
But 2c3
/3 is equal to the moment of inertia I of the cross-section, thus d4 = P/I.
The stress state in the beam is thus described by
σ11 = −
P
I
xy (10.7)
σ22 = 0 (10.8)
σ12 =
P
2I
(
y2
− c2
)
(10.9)
Remark: These expressions for stress are identical to those associated with the ele-
mentary solution given in strength of materials textbooks; i.e., with standard
Bernoulli-Euler beam theory.
Remark: The present solution is an exact one only if the shearing forces are distributed
according to the same parabolic law as assumed herein. If the distribution of
forces is different from this parabolic law but is equivalent statically, then the
above expressions for σ11 and σ12 do not represent a correct solution at the ends
2
7. of the beam. Away from the ends (say a distance on the order of the depth of the
beam), Saint-Venant’s principle1
assures that the solution will be satisfactory.
The strains associated with the problem are are related to the stresses through the
constitutive relations. Assuming a linear, isotropic elastic material gives
ε11 =
1
E
(σ11 − νσ22) = −
Pxy
EI
(10.10)
ε22 =
1
E
(σ22 − νσ11) =
νPxy
EI
(10.11)
γ12 =
σ12
G
=
P
2IG
(
y2
− c2
)
(10.12)
The strains are next related to the displacements through the kinematic relations.
Assuming that the displacements and displacement gradients are infinitesimal, it follows
that
ε11 =
∂u
∂x
= −
Pxy
EI
(10.13)
ε22 =
∂v
∂y
=
νPxy
EI
(10.14)
γ12 =
∂u
∂y
+
∂v
∂x
=
P
2GI
(
y2
− c2
)
(10.15)
1
Saint-Venant’s principle states that the stresses some distance from the point of appli-
cation of the load are not affected by the precise behavior of the body close to the point
of application of the load. This principle is named in recognition of the French engineer
and mechanician Adhémar Jean Claude Barré de Saint-Venant (1797-1886). The original
statement of this principle was published in French by Saint-Venant in 1855 [2]. Begin-
ning with the work of von Mises in 1945 [3], the mathematical literature gives a more
rigorous interpretation of Saint-Venant’s principle in the context of partial differential
equations.
3
8. The displacements u and v are obtained by suitably integrating equations (10.13) and
(10.14), subjected to appropriate boundary conditions. In particular,
u = −
Px2
y
2EI
+ f1(y) (10.16)
v =
νPxy2
2EI
+ f2(x) (10.17)
where f1(y) and f2(x) are as yet unknown functions of y and x, respectively.
Differentiating equations (10.16) and (10.17) with respect to y and x, respectively,
gives
∂u
∂y
= −
Px2
2EI
+
df1(y)
dy
(10.18)
∂v
∂x
=
νPy2
2EI
+
df2(x)
dx
(10.19)
Substituting equations (10.18) and (10.19) into equation (10.15) gives
−
Px2
2EI
+
df2(x)
dx
+
νPy2
2EI
+
df1(y)
dy
=
P
2GI
(
y2
− c2
)
(10.20)
Equation (10.20) contains terms that are functions of x only and of y only, and one
term that is independent of both x and y. It is thus re-written as
F(x) + G(y) = H (10.21)
where
F(x) = −
Px2
2EI
+
df2(x)
dx
(10.22)
G(y) =
νPy2
2EI
−
Py2
2GI
+
df1(y)
dy
(10.23)
H = −
Pc2
2GI
(10.24)
4
9. The form of equation (10.21) means that F(x) must be some constant C1 and G(y)
must be some constant C2. Equations (10.22) and (10.23) are thus re-written as
df1(y)
dy
=
Py2
2GI
−
νPy2
2EI
+ C2 (10.25)
df2(x)
dx
=
Px2
2EI
+ C1 (10.26)
Integrating equations (10.25) and (10.26) gives
f1(y) =
Py3
6GI
−
νPy3
6EI
+ C2y + C3 (10.27)
f2(x) =
Px3
6EI
+ C1x + C4 (10.28)
where C3 and C4 are constants of integration. Substituting equations (10.27) and (10.28)
into equations (10.16) and (10.17) gives
u = −
Px2
y
2EI
+
Py3
6GI
−
νPy3
6EI
+ C2y + C3 (10.29)
v =
νPxy2
2EI
+
Px3
6EI
+ C1x + C4 (10.30)
The constants C1 to C4 are determined from equation (10.21) and from three boundary
conditions that prevent the beam from moving as a rigid body in the x − y plane. Assuming
that the centroid of the cross-section is fixed, it follows that for all boundary conditions
u = v = 0 at x = L and y = 0. It follows from equations (10.29) and (10.30) that
C3 = 0 , C4 = −
PL3
6EI
− C1L (10.31)
Equations (10.29) and (10.30) thus reduce to
u = −
Py
6EI
(
3x2
+ νy2
)
+
Py3
6GI
+ C2y (10.32)
5
10. v =
P
6EI
(
x3
+ 3νxy2
− L3
)
− C1(L − x) (10.33)
The general expression for the elastic curve is obtained by setting y = 0 in equa-
tion (10.33). This gives
v|y=0 =
P
6EI
(
x3
− L3
)
− C1(L − x) (10.34)
For determining the constant C1, at least three sets of boundary condition are possible
at the built-in end [1]. In particular,
• Boundary Condition 1: The first possible constraint condition assumes that an element
of the longitudinal beam axis is fixed; i.e.,
∂v
∂x
= 0 at x = L and y = 0. Differentiating
equation (10.33) and evaluating it at x = L and y = 0 gives
∂v
∂x
11.
12.
13.
14. x=L, y=0
=
PL2
2EI
+ C1 = 0 ⇒ C1 = −
PL2
2EI
(10.35)
From equation (10.21) it follows that
C2 = H − C1 =
P
2I
(
L2
E
−
c2
G
)
(10.36)
where equation (10.24) has been used. Equations (10.32) and (10.33) thus become
u = −
Px2
y
2EI
+
Py3
6I
(
1
G
−
ν
E
)
+
Py
2I
(
L2
E
−
c2
G
)
(10.37)
v =
P
6EI
(
3νxy2
+ x3
− 3L2
x + 2L3
)
(10.38)
The general equation for the elastic curve (equation 10.34) becomes
v|y=0 =
P
6EI
(
x3
− 3L2
x + 2L3
)
(10.39)
which is identical to the Bernoulli-Euler beam theory solution. The corresponding tip de-
flection is
6
15. v|x=0, y=0 =
PL3
3EI
(10.40)
• Boundary Condition 2: The second possible constraint condition at the fixed end
assumes that a vertical element of the cross-section is fixed; i.e.,
∂u
∂y
= 0 at x = L and y = 0.
Differentiating equation (10.32) and evaluating it at x = L and y = 0 gives
∂u
∂y
16.
17.
18.
19. x=L, y=0
= −
PL2
2EI
+ C2 = 0 ⇒ C2 =
PL2
2EI
(10.41)
From equation (10.21) it follows that
C1 = H − C2 = −
P
2I
(
L2
E
+
c2
G
)
(10.42)
where equation (10.24) has again been used. Equations (10.32) and (10.33) thus become
u =
Py
2EI
(
L2
− x2
)
+
Py3
6I
(
1
G
−
ν
E
)
(10.43)
v =
P
6EI
(
3νxy2
+ x3
− 3L2
x + 2L3
)
+
Pc2
2IG
(L − x) (10.44)
The corresponding equation of the elastic curve (equation 10.34) and the tip deflection
are thus
v|y=0 =
P
6EI
(
x3
− 3L2
x + 2L3
)
+
Pc2
2IG
(L − x) (10.45)
v|x=0, y=0 =
PL3
3EI
+
Pc2
L
2GI
(10.46)
The latter is seen to differ from equation (10.40) because of the presence of the shear term
Pc2
L/2IG.
• Boundary Condition 3: The third possible constraint condition at the fixed end assumes
that three points of the boundary lie on a vertical line. As such, in addition to the common
condition of u = v = 0 at x = L and y = 0, u = v = 0 at x = L and y = ±c.
7
20. Evaluating equation (10.32) at x = L and y = c gives
u = −
Pc
6EI
(
3L2
+ νc2
)
+
Pc3
6GI
+ C2c = 0 (10.47)
which leads to
C2 =
Pc
6EI
(
3L2
+ νc2
)
−
Pc3
6GI
(10.48)
From equation (10.21) it follows that
C1 = H − C2 = −
Pc2
3EI
−
P
6EI
(
3L2
+ νc2
)
(10.49)
where equation (10.24) has again been used. Equations (10.32) and (10.33) thus become
u = −
Px2
y
2EI
+
Py3
6I
(
1
G
−
ν
E
)
+
Py
6I
(
3L2
E
+ ν
c2
E
−
c2
G
)
(10.50)
v =
P
6EI
(
3νxy2
+ x3
− 3L2
x + 2L3
)
+
Pc2
6I
(L − x)
(
ν
E
+
2
G
)
(10.51)
The corresponding equation of the elastic curve is thus
v|y=0 =
P
6EI
(
x3
− 3L2
x + 2L3
)
+
Pc2
6I
(L − x)
(
ν
E
+
2
G
)
(10.52)
Finally, the tip deflection is given by
v|x=0, y=0 =
PL3
3EI
+
Pc2
L
6I
(
ν
E
+
2
G
)
(10.53)
The tip deflection is seen to differ from equation (10.40) because of the presence of the term
Pc2
L (ν/E + 2/G) /6I, which contains both bending and shear contributions.
10.1.1 Insight Into Shear Deformations
To gain some insight into the role and importance of shear deformations, recall that
for the cross-section in question I = 2c3
/3. Equation (10.46) is thus re-written as
8
21. v|x=0, y=0 =
PL3
2Ec3
+
3PL(1 + ν)
2Ec
(10.54)
where the relation G = E/2(1 + ν) has been used. Based on equation (10.54) we make the
following observations:
• For given values of P, L, E and ν, increases in c decrease the flexural contribution to
v by c−3
; the shear contribution is reduced only by c−1
.
• For given values of P, c, E and ν, decreases in L decrease the flexural contribution to
v by L3
; the shear contribution is reduced only by L.
The following conclusions can thus be drawn:
1. The effect of shear deformations tends to be more pronounced for short, deep beams.
Transverse displacements in such beams will thus be greater than those predicted using
standard Bernoulli-Euler beam theory.
2. For “usual” beams with span-to-depth ratios greater than approximately 10, shear
deformations will be negligible. Use of standard Bernoulli-Euler beam theory is thus
appropriate in such cases.
Consider a specific example with E = 30 x 106
, ν = 0.30 and P = 1000.The following
cases are next investigated:
• For c = 1 and L = 40: The span-to-depth ratio is 20:1. The associated tip displacement
is v|x=0, y=0 = 1.067 + 0.0026 = 1.069. The shear deformation thus comprises only
approximately 0.24 % of the total tip displacement.
• For c = 1 and L = 20: The span-to-depth ratio is now 10:1. The associated tip
displacement is v|x=0, y=0 = 0.1333 + 0.0013 = 0.1346. The shear deformation thus
comprises only approximately 1.0 % of the total tip displacement.
9
22. • For c = 1 and L = 5: The span-to-depth ratio is 2.5:1. The associated tip displacement
is v|x=0, y=0 = 0.00208 + 0.00033 = 0.00241. The shear deformation now comprises
13.7 % of the total tip displacement.
• For c = 5 and L = 20: The span-to-depth ratio is 2:1. The associated tip displacement
is v|x=0, y=0 = 0.00107 + 0.00026 = 0.00133. The shear deformation thus comprises
19.6 % of the total tip displacement.
10
23. BIBLIOGRAPHY
[1] Timoshenko, S. P. and J. N. Goodier, Theory of Elasticity, Third Edition. New York:
McGraw-Hill Book Co (1970).
[2] Timoshenko, S. P., History of Strength of Materials. New York: Dover Publications, Inc.
(1983). Original publication by McGraw-Hill Book Co. (1953).
11