CHAPTER 12 PROBLEMS AND EXERCISES

Size: px
Start display at page:

Download "CHAPTER 12 PROBLEMS AND EXERCISES"

Transcription

1 CHAPTER 1 PROBLEMS AND EXERCISES Problem 1: Consider a PWAS transducer of length l 7 mm, width b 1.65 mm, thickness t 0. mm, and material properties as given in Table 1.. The PWAS is bonded at one end of a 3 1-mm thick 00-mm long aluminum strip with E 70 GPa, 700 kg/m, The PWAS length is oriented along the strip. The PWAS is excited with a 3.5-counts tone burst. (i) Calculate the first frequency at which the S0 wave propagation is dominant. (ii) Assuming that the frequency is adjusted to the value at which the S0 wave propagation is predominant as calculated in part (i), calculate the time taken by the wave packet to travel to the other end of the strip specimen and come back. Sketch the wave pattern. (iii) Repeat part (ii) assuming that a through-the-thickness crack reflector is present at 400 mm from the PWAS. Sketch the wave pattern. (iv) Superpose the effects of (ii) and (iii) assuming that the energy is equally partitioned between the waves reflecting from the end and reflecting from the crack. Sketch the wave pattern. Discuss. Solution (i) To calculate the tuning frequencies, use the tuning theory developed in textbook Chapter 11. For rectangular PWAS, one refers to Section.4.5, specifically Eq. (.1), i.e., S S S A 0 0 A a ( 0 ) ( 0 ) ( 0 ) A a NS i x t aa NA i( 0 xt) x ( xt, ) i sin a e i sin a e S A DS( 0 ) DA( 0 ) (.1) (1) One could code Eq. (1) or could use the software programs posted on the LAMSS website In particular, download and activate the following program: After activating the program, one obtains the chart below. 1 1

2 Since the problem asks us to find the first tuning frequency, the chart is restricted to lower frequencies. In the considered frequency range, only two Lamb wave modes exist, S0 and. In the chart, the S0 mode is presented in solid line ( symmetric ), whereas the mode is presented in dashed line ( anti-symmetric ). Examination of this tuning chart indicates that the mode goes through a minimum (mode rejection) at 180 khz. When one mode is rejected, the other becomes dominant. Hence, the first frequency at which the S0 mode is dominant is S 0 f 1 =180 khz. ============= (ii) Assuming that the frequency is tuned at 180 khz (i.e., when S0 is dominant), we calculate the group velocity for this mode at this frequency. By plotting the group velocity, we obtain the chart below

3 The chart shows that, in this frequency range, the S0 group velocity (solid line) varies very S 0 slowly with frequency. The exact value is calculate separately as c 5387 m/s. For convenience, we express the speed in mm/μs, i.e., c S 0 g f 180 khz g f 180 khz mm/μs. Using group velocity, one calculates the round-trip time of flight (TOF) to the end of the strip as L 00 mm tend S s () cg mm/ s To calculate the wave reflection process, define the incident forward wave and the reflected backward wave as the following continuous waves (CWs: S 0 i( x t) u ( x, t) Ae incident forward wave (3) i S 0 i ( x xr ) t S 0 i ( x x ) it R ui ( x, t) Be Be e reflected backward wave (4) S0 where x R is the reflector position and is the frequency dependent wavenumber defined as S 0 frequency-dependent wavenumber (5) S 0 c S 0 where c is the phase velocity of the S0 mode. At this relatively low frequencies, the S0 mode is very slowly dispersive, hence we will take a linear approximation of its variation over the frequency range of interest. The total wave is the summation of the incident and reflected waves, i.e., S 0 S 0 i x i ( x x ) (, ) (, ) (, ) R it uxt u xtu xt Ae Be e complete wave (6) i r For a generic situation, we take A 1. Assuming perfect reflection at the x R L end of the strip, we take Ba 1. For a given excitation signal st (), e.g., a tone burst, the solution is obtained by performing the convolution between the excitation signal and the CW definition of Eq. (6). The convolution is performed in the frequency domain as a multiplication. The resulting wave pattern is shown below; the transmitted incident wave package and received reflected wave packet are clearly defined. The TOF can be easily estimated. The t 371 μs value calculated with Eq. () matches well the estimation obtained from the chart. end Initial bang End reflection

4 (iii) Assuming a through-the-thickness crack reflector at L c=400 mm, we calculate the time of flight from the crack reflector as Lc 400 mm tcrack S s (7) cg mm/ s The wave pattern of the transmitted and received wave packets is shown below. The t crack can be easily estimated. The value calculated with Eq. (7) matches well the estimations obtained from the chart. Crack Initial bang reflection (iv) Assuming equal partition of energy between the end reflection and crack reflection we take B B A/. The superposed plot of the two reflections is shown below. end crack Discussion: One sees the reflections from the crack and the reflection from the end. The t end and t crack can be easily estimated. The values calculated with Eqs. () and (7) match well the estimations obtained from the chart. Initial bang Crack reflection End reflection

5 PROBLEM 1.1 SOLUTION Units khz 00 Hz MHz 6 Hz krad 3 rad ms 3 s s 6 s pf 1 F nf 9 F m 6 m 6 MPa 6 Pa GPa 9 Pa TPa 1 Pa MN 6 N GN 9 N ms 3 S S 6 S ns 9 S k 3 M 6 G 9 SETTINGS AND CONTROLS fs 1.5 MHz dt 1 fs dt s s fnq fs tmax 5000 s log tmax log dt s s im ceil im 13 NN im NN 819 log( ) NN NQ Nt NN Nf NQ T NN dt T 5461 s 1 df df 183 Hz T Display controls: Tmax 6 6 T floor 00 Tmax 5000 s fmax 00 khz 00 Frequency range: nf 0 Nf f nf df f 750 khz nf Nf nf f nf Nf 471 krad s 5

6 definition of the space domain dx 1.0 m Nx nx 0 Nx 1 x nx dx nx x 00 mm 1 Specimen properties Aluminum strip E 70 GPa 700 kg m d 1 mm L 00 mm Lc 400 mm L L Lc Lc 6

7 Hanning smoothed tone burst Nc 3.5 fc 180 khz c fc Signal amplitude p0 Window size function of central frequency and Ncount 1 1 a Nc a 9.7 s fc Define time range t0 a nt 0 Nt 1 t t0 nt dt t nt Nt s Ht ( ) p0 if 0 t t0 a 0 otherwise Ht ( ) p0 sin t t0 if 0 t t0 a a 0 otherwise h Ht HH FFT ( h ) nt nt HS HH nf nf square window Hanning window and its FFT ct ( ) sin c ( t t0) sc ct SC FFT ( sc ) nt nt ss( t) sin c ( t t0) Ht () s_ ss t S FFT ( s_ ) nt nt carrier signal and its FFT tone burst signal and its FFT s_ nt t nt time, microsec 0.01 S nf f nf 7

8 S0 and axial wave speed in aluminum strip E c0 1 cs0g 5387 m s cs0_0khz 5393 m cs0_300khz 5387 m s s c m cs0 cs0_0khz s cs0g 5387 m nf s cs0_300khz cs0_0khz Nf nf Nf cs0 nf f nf khz 8

9 S0 waves analysis Basic wave propagation analysis nf wave numbers nf cs0 nf medium transfer function for the Nx locations x in space domain G e i nfx nx nf nx excitation spectrum x medium transfer function at all x locations U S G nf nx nf nf nx IFFT to return to the time domain u nx IFFT U nx plotting offset control End reflection analysis End reflection TOF estimate: cs0g mm L t_end t_end 371 s s cs0g End reflection mean the whole signal is returned, hence A=B A 1 B A U S G nf nx nf nf nx u nx IFFT U nx G nf nx A e i nfx nx B e i nf x nx L

10 Crack reflection analysis Crack reflection TOF estimate: t_crack Lc cs0g t_crack 149 s Ac A G nf nx A e i nfx nx Ac e i nf x nx Lc U S G nf nx nf nf nx u nx IFFT U nx G nf nx End reflection and crack reflection of axial wave (half-half energy split): B A Ac A A e i nfx nx B e i nf x nx L Ac e i nf x nx Lc U S G nf nx nf nf nx u nx IFFT U nx

11 Problem : Consider a PWAS transducer of length l 7 mm, width b 1.65 mm, thickness t 0. mm, and material properties as given in Table 1.. The PWAS is bonded at one end of a 1-mm thick 00-mm long aluminum strip with E = 70 GPa and =.7 g/cc. The PWAS length is oriented along the strip. The PWAS is excited with a 3.5-counts tone burst. (i) Calculate the first frequency at which the wave propagation is dominant. (ii) Assuming that the frequency is adjusted to the value at which the wave propagation is dominant as calculated in part (i), calculate the time taken by the wave packet to travel to the other end of the strip specimen and come back. Sketch the wave pattern. (iii) Repeat part (ii) assuming that a through-the-thickness crack reflector is present at 400 mm from the PWAS. Sketch the wave pattern. (iii) Repeat part (ii) assuming that a through-the-thickness crack reflector is present at 400 mm from the PWAS. Sketch the wave pattern. (iv) Superpose the effects of (ii) and (iii) assuming that the energy is equally partitioned between the waves reflecting from the end and reflecting from the crack. Sketch the wave pattern. Discuss. Solution (i) To calculate the tuning frequencies, use the tuning theory developed in textbook Chapter 11. For rectangular PWAS, one refers to Section.4.5, specifically Eq. (.1), i.e., S S S A 0 0 A a ( 0 ) ( 0 ) ( 0 ) A a NS i x t aa NA i( 0 xt) x ( xt, ) i sin a e i sin a e S A DS( 0 ) DA( 0 ) (.1) (1) One could code Eq. (1) or could use the software programs posted on the LAMSS website In particular, download and activate the following program: After activating the program, one obtains the chart below. 5 11

12 This chart indicates that the first maximum of the is obtained around ~50 khz. At this frequency, the S0 response is relatively weak. Hence, this is the first frequency at which the mode is dominant, i.e., f1 =50 khz 50 khz. (ii) Assuming that the frequency is tuned at 50 khz (i.e., when is dominant), we calculate the group velocity for this mode at this frequency. By plotting the group velocity, we obtain the chart below 6 1

13 The chart shows that, in this frequency range, the group velocity (dash line) varies very rapidly with frequency. The exact value is calculate as c 1355 m/s 1355 mm/μs. g f 50 khz Using group velocity, one calculates the round-trip time of flight (TOF) to the end of the strip as t end L 00 mm 1476 s () c mm/ s g To calculate the wave reflection process, define the incident forward wave and the reflected backward wave as the following continuous waves (CWs: i( x t) u ( x, t) Ae incident forward wave (3) i i ( x xr ) t i ( x x ) it R u ( x, t) Be Be e reflected backward wave (4) i where x R is the reflector position and is the frequency dependent wavenumber defined as frequency-dependent wavenumber (5) c where c is the phase velocity of the mode. At this relatively low frequencies, the a0 mode is very dispersive and varies like ; hence we will take a approximation of its variation over the frequency range of interest. The total wave is the summation of the incident and reflected waves, i.e., i x i ( x x ) (, ) (, ) (, ) R it uxt u xtu xt Ae Be e complete wave (6) i For a generic situation, we take A 1 r. Assuming perfect reflection at the x R L end of the strip, we take B a 1. For a given excitation signal st (), e.g., a tone burst, the solution is obtained by performing the convolution between the excitation signal and the CW definition of Eq. (6). The convolution is performed in the frequency domain as a multiplication. The resulting wave pattern is shown below. Initial bang 0 End reflection The transmitted incident wave package and received reflected wave packet are clearly defined. The TOF can be easily estimated. The tend 1476 μs value calculated in Eq. () matches with CG of the envelope of the plot of the squared dispersed wave signal shown on the graph. 7 13

14 (iii) Assuming a through-the-thickness crack reflector at L c =400 mm, we calculate the time of flight from the crack reflector as Lc 400 mm tcrack 590 s (7) cg mm/ s The wave pattern of the transmitted and received wave packets is shown below. The t crack can be easily estimated. The value calculated with Eq. (7) matches well with CG of the envelope of the plot of the squared dispersed wave signal shown on the graph. Initial bang Crack reflection (iv) Assuming equal partition of energy between the end reflection and crack reflection we take B B A/. The superposed plot of the two reflections is shown below. end crack Initial bang 0 Crack reflection End reflection Discussion: One sees the reflections from the crack and the reflection from the end. The t end and t crack can be easily estimated from the CG of the dispersed wave packets shown on the graph. The values calculated with Eqs. () and (7) match well the estimations obtained from the chart

15 PROBLEM 1. SOLUTION Units khz 00 Hz MHz 6 Hz krad 3 rad ms 3 s s 6 s pf 1 F nf 9 F m 6 m 6 MPa 6 Pa GPa 9 Pa TPa 1 Pa MN 6 N GN 9 N ms 3 S S 6 S ns 9 S k 3 M 6 G 9 SETTINGS AND CONTROLS fs 1.5 MHz 1 dt dt s fs fnq fs tmax 5000 s log tmax log dt s s im ceil im 13 NN im NN 819 log( ) NN NQ Nt NN Nf NQ T NN dt T 5461 s 1 df df 183 Hz T Display controls: Tmax 6 6 T floor 00 Tmax 5000 s 00 fmax 00 khz Frequency range: nf 0 Nf f nf df f 750 khz nf Nf nf f nf Nf 471 krad s 15

16 Definition of the space domain dx 1.0 m Nx nx 0 Nx 1 x nx dx nx x 00 mm 1 Specimen properties Aluminum strip E 70 GPa 700 kg m d 1 mm L 00 mm Lc 400 mm L L Lc Lc 16

17 Hanning smoothed tone burst Nc 3.5 fc 50 khz c fc Signal amplitude p0 Window size function of central frequency and Ncount 1 1 a Nc a 35s fc Define time range t0 a nt 0 Nt 1 t t0 nt dt t nt Nt s Ht ( ) p0 if 0 t t0 a 0 otherwise square window Ht ( ) p0 sin t t0 if 0 t t0 a a 0 otherwise h Ht HH FFT ( h ) HS HH nt nt nf nf ct ( ) sin c ( t t0) sc ct SC FFT ( sc ) nt nt ss( t) sin c ( t t0) Ht () s_ ss t S FFT ( s_ ) nt nt Hanning window and its FFT carrier signal and its FFT tone burst signal and its FFT s_ nt t nt time, microsec 0.04 S nf f nf 17

18 and flexural wave speeds in aluminum strip Group velocity at 50 khz Flexural wave approximation cg_50khz cg_50khz 1355 m s m s cf( f ) E d f Phase velocity interpolation using a square root rule c_0khz 954 m s fc 50 khz cf( fc) 699 m s cgf( f ) cf( f) cgf( fc) 1399 m s c c_0khz nf f nf 0 khz 00 c nf cff nf f nf khz 18

19 waves analysis Basic wave propagation analysis wave numbers nf nf c nf medium transfer function for the Nx locations x in space domain G e i nfx nx nf nx excitation spectrum x medium transfer function at all x locations U S G nf nx nf nf nx IFFT to return to the time domain u nx IFFT U nx plotting offset control

20 End reflection analysis End reflection TOF estimate: cg_50khz mm s L t_end t_end 1476 s cg_50khz End reflection mean the whole signal is returned, hence A=B A 1 B A U S G nf nx nf nf nx u nx IFFT U nx G nf nx A e i nfx nx B e i nf x nx L

21 Crack reflection analysis Crack reflection TOF estimate: G nf nx Ac A A e i nfx nx Ac e i nf x nx Lc Lc t_crack cg_50khz t_crack 590 s cg_50khz mm s U S G nf nx nf nf nx u nx IFFT U nx

22 G nf nx End reflection and crack reflection of axial wave (half-half energy split): B A Ac A A e i nfx nx B e i nf x nx L Ac e i nf x nx Lc U S G nf nx nf nf nx u nx IFFT U nx

23 Problem 3: (i) Explain the principles of the time reversal methods. (ii) What difficulties are encountered when the time reversal method is applied to Lamb waves and how they might be alleviated. Solution (i) The principles of the time reversal method are covered in some detail in the textbook Section and will not be repeated here. (ii) As explained in the textbook Section , the difficulties that are encountered when the time reversal method is applied to Lamb waves are related to the multi-modal character of the Lamb waves. Hence, when time reversal is applied, the reconstructed signal presents other wave packet besides the original wave packet. For example, if S0 and modes are simultaneously present in the Lamb wave, then the reconstructed signal will have three wave packets instead of the original one. These difficulties might be alleviated through Lamb wave tuning which may result in a single wave packet after time reversal reconstruction Problem 4: Describe how the wave propagation method and PWAS transducers can be used to detect the location of an impact on a plate. (i) Highlight the methodology. (ii) List the main difficulties to be overcome and explain how they might be alleviated. Solution (i) The principles of detecting an impact on a plate using the wave propagation method and PWAS transducers are covered in some detail in the textbook Section and will not be repeated here. (ii) The main difficulties to be overcome are related to the dispersive nature of the Lamb waves generated by the impact events. Being dispersive, the Lamb waves spread out and make difficult the correct time-of-flight (TOF) identification. These difficulties may be alleviated through the use of a different TOF criterion, e.g., the energy-peak arrival time. 9 3

Lamb Wave Behavior in Bridge Girder Geometries

Lamb Wave Behavior in Bridge Girder Geometries Lamb Wave Behavior in Bridge Girder Geometries I. J. Oppenheim a*, D. W. Greve b, N. L. Tyson a a Dept. of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 b Dept.

More information

DOING PHYSICS WITH MATLAB FOURIER ANALYSIS FOURIER TRANSFORMS

DOING PHYSICS WITH MATLAB FOURIER ANALYSIS FOURIER TRANSFORMS DOING PHYSICS WITH MATLAB FOURIER ANALYSIS FOURIER TRANSFORMS Ian Cooper School of Physics, University of Sydney ian.cooper@sydney.edu.au DOWNLOAD DIRECTORY FOR MATLAB SCRIPTS maths_ft_01.m mscript used

More information

E2.5 Signals & Linear Systems. Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & 2)

E2.5 Signals & Linear Systems. Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & 2) E.5 Signals & Linear Systems Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & ) 1. Sketch each of the following continuous-time signals, specify if the signal is periodic/non-periodic,

More information

Mobile Radio Communications

Mobile Radio Communications Course 3: Radio wave propagation Session 3, page 1 Propagation mechanisms free space propagation reflection diffraction scattering LARGE SCALE: average attenuation SMALL SCALE: short-term variations in

More information

Sound wave bends as it hits an interface at an oblique angle. 4. Reflection. Sound wave bounces back to probe

Sound wave bends as it hits an interface at an oblique angle. 4. Reflection. Sound wave bounces back to probe : Ultrasound imaging and x-rays 1. How does ultrasound imaging work?. What is ionizing electromagnetic radiation? Definition of ionizing radiation 3. How are x-rays produced? Bremsstrahlung Auger electron

More information

x(t+ δt) - x(t) = slope δt t+δt

x(t+ δt) - x(t) = slope δt t+δt Techniques of Physics Worksheet 2 Classical Vibrations and Waves Introduction You will have encountered many different examples of wave phenomena in your courses and should be familiar with most of the

More information

Attenuation and dispersion

Attenuation and dispersion Attenuation and dispersion! Mechanisms: Absorption (inelastic); Scattering (elastic).! Mathematical descriptions! Measurement! Frequency dependence! Dispersion, its relation to attenuation Reading: Sheriff

More information

Lamb Waves in Plate Girder Geometries

Lamb Waves in Plate Girder Geometries Lamb Waves in Plate Girder Geometries D.W. Greve, 1 N. L. Tyson 2, and I.J. Oppenheim 2 1 Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213 2 Civil and Environmental

More information

change in distance change in time

change in distance change in time M2.1 Lab M2. Ultrasound: Interference, Wavelength, and Velocity The purpose of this exercise is to become familiar with the properties of waves: frequency, wavelength, phase, and velocity. We use ultrasonic

More information

ECE 301 Fall 2011 Division 1. Homework 1 Solutions.

ECE 301 Fall 2011 Division 1. Homework 1 Solutions. ECE 3 Fall 2 Division. Homework Solutions. Reading: Course information handout on the course website; textbook sections.,.,.2,.3,.4; online review notes on complex numbers. Problem. For each discrete-time

More information

OPAC102. The Acoustic Wave Equation

OPAC102. The Acoustic Wave Equation OPAC102 The Acoustic Wave Equation Acoustic waves in fluid Acoustic waves constitute one kind of pressure fluctuation that can exist in a compressible fluid. The restoring forces responsible for propagating

More information

Sound radiation and sound insulation

Sound radiation and sound insulation 11.1 Sound radiation and sound insulation We actually do not need this chapter You have learned everything you need to know: When waves propagating from one medium to the next it is the change of impedance

More information

Physics 401. Fall 2018 Eugene V. Colla. 10/8/2018 Physics 401 1

Physics 401. Fall 2018 Eugene V. Colla. 10/8/2018 Physics 401 1 Physics 41. Fall 18 Eugene V. Colla 1/8/18 Physics 41 1 Electrical RLC circuits Torsional Oscillator Damping Data Analysis 1/8/18 Physics 41 V R +V L +V C =V(t) If V(t)= R d d q(t) q(t) dt dt C C L q(t)

More information

Physics 401. Fall 2017 Eugene V. Colla. 10/9/2017 Physics 401 1

Physics 401. Fall 2017 Eugene V. Colla. 10/9/2017 Physics 401 1 Physics 41. Fall 17 Eugene V. Colla 1/9/17 Physics 41 1 Electrical RLC circuits Torsional Oscillator Damping Data Analysis 1/9/17 Physics 41 V R +V L +V C =V(t) If V(t)= R d d q(t) q(t) dt dt C C L q(t)

More information

Experimental Fourier Transforms

Experimental Fourier Transforms Chapter 5 Experimental Fourier Transforms 5.1 Sampling and Aliasing Given x(t), we observe only sampled data x s (t) = x(t)s(t; T s ) (Fig. 5.1), where s is called sampling or comb function and can be

More information

The Physics of Doppler Ultrasound. HET408 Medical Imaging

The Physics of Doppler Ultrasound. HET408 Medical Imaging The Physics of Doppler Ultrasound HET408 Medical Imaging 1 The Doppler Principle The basis of Doppler ultrasonography is the fact that reflected/scattered ultrasonic waves from a moving interface will

More information

ELEG 3124 SYSTEMS AND SIGNALS Ch. 5 Fourier Transform

ELEG 3124 SYSTEMS AND SIGNALS Ch. 5 Fourier Transform Department of Electrical Engineering University of Arkansas ELEG 3124 SYSTEMS AND SIGNALS Ch. 5 Fourier Transform Dr. Jingxian Wu wuj@uark.edu OUTLINE 2 Introduction Fourier Transform Properties of Fourier

More information

ANALOG AND DIGITAL SIGNAL PROCESSING ADSP - Chapter 8

ANALOG AND DIGITAL SIGNAL PROCESSING ADSP - Chapter 8 ANALOG AND DIGITAL SIGNAL PROCESSING ADSP - Chapter 8 Fm n N fnt ( ) e j2mn N X() X() 2 X() X() 3 W Chap. 8 Discrete Fourier Transform (DFT), FFT Prof. J.-P. Sandoz, 2-2 W W 3 W W x () x () x () 2 x ()

More information

EE Experiment 11 The Laplace Transform and Control System Characteristics

EE Experiment 11 The Laplace Transform and Control System Characteristics EE216:11 1 EE 216 - Experiment 11 The Laplace Transform and Control System Characteristics Objectives: To illustrate computer usage in determining inverse Laplace transforms. Also to determine useful signal

More information

ME scope Application Note 28

ME scope Application Note 28 App Note 8 www.vibetech.com 3/7/17 ME scope Application Note 8 Mathematics of a Mass-Spring-Damper System INTRODUCTION In this note, the capabilities of ME scope will be used to build a model of the mass-spring-damper

More information

Fourier Transform Chapter 10 Sampling and Series

Fourier Transform Chapter 10 Sampling and Series Fourier Transform Chapter 0 Sampling and Series Sampling Theorem Sampling Theorem states that, under a certain condition, it is in fact possible to recover with full accuracy the values intervening between

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wave Phenomena Physics 5c Lecture Fourier Analysis (H&L Sections 3. 4) (Georgi Chapter ) What We Did Last ime Studied reflection of mechanical waves Similar to reflection of electromagnetic waves Mechanical

More information

Finite Element and Plate Theory Modeling of Acoustic Emission Waveforms. NASA Langley Research Center. Hampton, VA *University of Denver

Finite Element and Plate Theory Modeling of Acoustic Emission Waveforms. NASA Langley Research Center. Hampton, VA *University of Denver Finite Element and Plate Theory Modeling of Acoustic Emission Waveforms W. H. Prosser, M. A. Hamstad + *, J. Gary +, and A. O Gallagher + NASA Langley Research Center Hampton, VA 23681-1 *University of

More information

Introduction to Acoustics. Phil Joseph

Introduction to Acoustics. Phil Joseph Introduction to Acoustics Phil Joseph INTRODUCTION TO ACOUSTICS Sound and Noise Sound waves Frequency, wavelength and wavespeed Point sources Sound power and intensity Wave reflection Standing waves Measures

More information

Finite Element Simulation of Piezoelectric Wafer Active Sensors for Structural Health Monitoring with Coupled-Filed Elements

Finite Element Simulation of Piezoelectric Wafer Active Sensors for Structural Health Monitoring with Coupled-Filed Elements Finite Element Simulation of Piezoelectric Wafer Active Sensors for Structural Health Monitoring with Coupled-Filed Elements Weiping Liu, Victor Giurgiutiu Department of Mechanical Engineering, Univ. of

More information

General Appendix A Transmission Line Resonance due to Reflections (1-D Cavity Resonances)

General Appendix A Transmission Line Resonance due to Reflections (1-D Cavity Resonances) A 1 General Appendix A Transmission Line Resonance due to Reflections (1-D Cavity Resonances) 1. Waves Propagating on a Transmission Line General A transmission line is a 1-dimensional medium which can

More information

An Introduction to Control Systems

An Introduction to Control Systems An Introduction to Control Systems Signals and Systems: 3C1 Control Systems Handout 1 Dr. David Corrigan Electronic and Electrical Engineering corrigad@tcd.ie November 21, 2012 Recall the concept of a

More information

Extensional and Flexural Waves in a Thin-Walled Graphite/Epoxy Tube * William H. Prosser NASA Langley Research Center Hampton, VA 23665

Extensional and Flexural Waves in a Thin-Walled Graphite/Epoxy Tube * William H. Prosser NASA Langley Research Center Hampton, VA 23665 Extensional and Flexural Waves in a Thin-Walled Graphite/Epoxy Tube * William H. Prosser NASA Langley Research Center Hampton, VA 23665 Michael R. Gorman Aeronautics and Astronautics Naval Postgraduate

More information

Two Tier projects for students in ME 160 class

Two Tier projects for students in ME 160 class ME 160 Introduction to Finite Element Method Spring 2016 Topics for Term Projects by Teams of 2 Students Instructor: Tai Ran Hsu, Professor, Dept. of Mechanical engineering, San Jose State University,

More information

Discrete-Time Signals and Systems. Efficient Computation of the DFT: FFT Algorithms. Analog-to-Digital Conversion. Sampling Process.

Discrete-Time Signals and Systems. Efficient Computation of the DFT: FFT Algorithms. Analog-to-Digital Conversion. Sampling Process. iscrete-time Signals and Systems Efficient Computation of the FT: FFT Algorithms r. eepa Kundur University of Toronto Reference: Sections 6.1, 6., 6.4, 6.5 of John G. Proakis and imitris G. Manolakis,

More information

Let us consider a typical Michelson interferometer, where a broadband source is used for illumination (Fig. 1a).

Let us consider a typical Michelson interferometer, where a broadband source is used for illumination (Fig. 1a). 7.1. Low-Coherence Interferometry (LCI) Let us consider a typical Michelson interferometer, where a broadband source is used for illumination (Fig. 1a). The light is split by the beam splitter (BS) and

More information

NUMERICAL MODELLING OF RUBBER VIBRATION ISOLATORS

NUMERICAL MODELLING OF RUBBER VIBRATION ISOLATORS NUMERICAL MODELLING OF RUBBER VIBRATION ISOLATORS Clemens A.J. Beijers and André de Boer University of Twente P.O. Box 7, 75 AE Enschede, The Netherlands email: c.a.j.beijers@utwente.nl Abstract An important

More information

Chapter 33: ELECTROMAGNETIC WAVES 559

Chapter 33: ELECTROMAGNETIC WAVES 559 Chapter 33: ELECTROMAGNETIC WAVES 1 Select the correct statement: A ultraviolet light has a longer wavelength than infrared B blue light has a higher frequency than x rays C radio waves have higher frequency

More information

SIMULATION OF LAMB WAVE EXCITATION FOR DIFFERENT ELAS- TIC PROPERTIES AND ACOUSTIC EMISSION SOURCE GEOMETRIES

SIMULATION OF LAMB WAVE EXCITATION FOR DIFFERENT ELAS- TIC PROPERTIES AND ACOUSTIC EMISSION SOURCE GEOMETRIES SIMULATION OF LAMB WAVE EXCITATION FOR DIFFERENT ELAS- TIC PROPERTIES AND ACOUSTIC EMISSION SOURCE GEOMETRIES Abstract MARKUS G. R. SAUSE and SIEGFRIED HORN University of Augsburg, Institute for Physics,

More information

6. LIGHT SCATTERING 6.1 The first Born approximation

6. LIGHT SCATTERING 6.1 The first Born approximation 6. LIGHT SCATTERING 6.1 The first Born approximation In many situations, light interacts with inhomogeneous systems, in which case the generic light-matter interaction process is referred to as scattering

More information

31545 Medical Imaging systems

31545 Medical Imaging systems Simulation of ultrasound systems and non-linear imaging 545 Medical Imaging systems Lecture 9: Simulation of ultrasound systems and non-linear imaging Jørgen Arendt Jensen Department of Electrical Engineering

More information

A) n 1 > n 2 > n 3 B) n 1 > n 3 > n 2 C) n 2 > n 1 > n 3 D) n 2 > n 3 > n 1 E) n 3 > n 1 > n 2

A) n 1 > n 2 > n 3 B) n 1 > n 3 > n 2 C) n 2 > n 1 > n 3 D) n 2 > n 3 > n 1 E) n 3 > n 1 > n 2 55) The diagram shows the path of a light ray in three different materials. The index of refraction for each material is shown in the upper right portion of the material. What is the correct order for

More information

Fall 2010 RED barcode here Physics 123 section 2 Exam 2

Fall 2010 RED barcode here Physics 123 section 2 Exam 2 Fall 2010 RED barcode here Physics 123 section 2 Exam 2 Colton 2-3669 Please write your CID here No time limit. One 3 5 note card (handwritten, both sides). No books. Student calculators OK. Constants

More information

Phononic Crystals. J.H. Page

Phononic Crystals. J.H. Page Phononic Crystals J.H. Page University of Manitoba with Suxia Yang and M.L. Cowan at U of M, Ping Sheng and C.T. Chan at HKUST, & Zhengyou Liu at Wuhan University. We study ultrasonic waves in complex

More information

Topic 3: Fourier Series (FS)

Topic 3: Fourier Series (FS) ELEC264: Signals And Systems Topic 3: Fourier Series (FS) o o o o Introduction to frequency analysis of signals CT FS Fourier series of CT periodic signals Signal Symmetry and CT Fourier Series Properties

More information

4. Complex Oscillations

4. Complex Oscillations 4. Complex Oscillations The most common use of complex numbers in physics is for analyzing oscillations and waves. We will illustrate this with a simple but crucially important model, the damped harmonic

More information

Control Systems. Laplace domain analysis

Control Systems. Laplace domain analysis Control Systems Laplace domain analysis L. Lanari outline introduce the Laplace unilateral transform define its properties show its advantages in turning ODEs to algebraic equations define an Input/Output

More information

Determination of group velocity of propagation of Lamb waves in aluminium plate using piezoelectric transducers

Determination of group velocity of propagation of Lamb waves in aluminium plate using piezoelectric transducers ARTICLE IN PRESS Applied and Computational Mechanics 11 (2017) XXX YYY Determination of group velocity of propagation of Lamb waves in aluminium plate using piezoelectric transducers Z. Lašová a,,r.zemčík

More information

PHYSICS 4750 Physics of Modern Materials Chapter 5: The Band Theory of Solids

PHYSICS 4750 Physics of Modern Materials Chapter 5: The Band Theory of Solids PHYSICS 4750 Physics of Modern Materials Chapter 5: The Band Theory of Solids 1. Introduction We have seen that when the electrons in two hydrogen atoms interact, their energy levels will split, i.e.,

More information

Laboratory handout 5 Mode shapes and resonance

Laboratory handout 5 Mode shapes and resonance laboratory handouts, me 34 82 Laboratory handout 5 Mode shapes and resonance In this handout, material and assignments marked as optional can be skipped when preparing for the lab, but may provide a useful

More information

PDF Created with deskpdf PDF Writer - Trial ::

PDF Created with deskpdf PDF Writer - Trial :: y 3 5 Graph of f ' x 76. The graph of f ', the derivative f, is shown above for x 5. n what intervals is f increasing? (A) [, ] only (B) [, 3] (C) [3, 5] only (D) [0,.5] and [3, 5] (E) [, ], [, ], and

More information

Multiple Defect Detection by Applying the Time Reversal Principle on Dispersive Waves in Beams

Multiple Defect Detection by Applying the Time Reversal Principle on Dispersive Waves in Beams 18th World Conference on Nondestructive Testing, 16-20 April 2012, Durban, South Africa Multiple Defect Detection by Applying the Time Reversal Principle on Dispersive Waves in Beams Robert ERNST 1, Mario

More information

DYNAMICS AND DAMAGE ASSESSMENT IN IMPACTED CROSS-PLY CFRP PLATE UTILIZING THE WAVEFORM SIMULATION OF LAMB WAVE ACOUSTIC EMISSION

DYNAMICS AND DAMAGE ASSESSMENT IN IMPACTED CROSS-PLY CFRP PLATE UTILIZING THE WAVEFORM SIMULATION OF LAMB WAVE ACOUSTIC EMISSION DYNAMICS AND DAMAGE ASSESSMENT IN IMPACTED CROSS-PLY CFRP PLATE UTILIZING THE WAVEFORM SIMULATION OF LAMB WAVE ACOUSTIC EMISSION ABSTRACT Y. MIZUTAMI, H. NISHINO, M. TAKEMOTO and K. ONO* Aoyama Gakuin

More information

NIH Public Access Author Manuscript Ultrason Imaging. Author manuscript; available in PMC 2013 November 21.

NIH Public Access Author Manuscript Ultrason Imaging. Author manuscript; available in PMC 2013 November 21. NIH Public Access Author Manuscript Published in final edited form as: Ultrason Imaging. 2012 October ; 34(4):. doi:10.1177/0161734612463847. Rapid Transient Pressure Field Computations in the Nearfield

More information

Prüfung Regelungstechnik I (Control Systems I) Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam!

Prüfung Regelungstechnik I (Control Systems I) Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Prüfung Regelungstechnik I (Control Systems I) Prof. Dr. Lino Guzzella 29. 8. 2 Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam! Do not mark up this translation aid

More information

ANALOG AND DIGITAL SIGNAL PROCESSING CHAPTER 3 : LINEAR SYSTEM RESPONSE (GENERAL CASE)

ANALOG AND DIGITAL SIGNAL PROCESSING CHAPTER 3 : LINEAR SYSTEM RESPONSE (GENERAL CASE) 3. Linear System Response (general case) 3. INTRODUCTION In chapter 2, we determined that : a) If the system is linear (or operate in a linear domain) b) If the input signal can be assumed as periodic

More information

Physics in Faculty of

Physics in Faculty of Why we study Physics in Faculty of Engineering? Dimensional analysis Scalars and vector analysis Rotational of a rigid body about a fixed axis Rotational kinematics 1. Dimensional analysis The ward dimension

More information

Basic System. Basic System. Sonosite 180. Acuson Sequoia. Echo occurs at t=2z/c where c is approximately 1500 m/s or 1.5 mm/µs

Basic System. Basic System. Sonosite 180. Acuson Sequoia. Echo occurs at t=2z/c where c is approximately 1500 m/s or 1.5 mm/µs Bioengineering 280A Principles of Biomedical Imaging Fall Quarter 2007 Ultrasound Lecture Sonosite 80 From Suetens 2002 Acuson Sequoia Basic System Basic System Echo occurs at t=2/c where c is approximately

More information

Villa Galileo Firenze, 12 ottobre 2017 Antenna Pattern Measurement: Theory and Techniques

Villa Galileo Firenze, 12 ottobre 2017 Antenna Pattern Measurement: Theory and Techniques Villa Galileo Firenze, 12 ottobre 2017 Antenna Pattern Measurement: Theory and Techniques F. D Agostino, M. Migliozzi University of Salerno, Italy ANTENNAE REGIONS The REACTIVE NEAR-FIELD REGION is the

More information

Surface Waves and Free Oscillations. Surface Waves and Free Oscillations

Surface Waves and Free Oscillations. Surface Waves and Free Oscillations Surface waves in in an an elastic half spaces: Rayleigh waves -Potentials - Free surface boundary conditions - Solutions propagating along the surface, decaying with depth - Lamb s problem Surface waves

More information

Q. 1 Q. 25 carry one mark each.

Q. 1 Q. 25 carry one mark each. Q. Q. 5 carry one mark each. Q. Consider a system of linear equations: x y 3z =, x 3y 4z =, and x 4y 6 z = k. The value of k for which the system has infinitely many solutions is. Q. A function 3 = is

More information

CHAPTER 14. Based on the info about the scattering function we know that the multipath spread is T m =1ms, and the Doppler spread is B d =0.2 Hz.

CHAPTER 14. Based on the info about the scattering function we know that the multipath spread is T m =1ms, and the Doppler spread is B d =0.2 Hz. CHAPTER 4 Problem 4. : Based on the info about the scattering function we know that the multipath spread is T m =ms, and the Doppler spread is B d =. Hz. (a) (i) T m = 3 sec (ii) B d =. Hz (iii) ( t) c

More information

ULTRASONIC INSPECTION, MATERIAL NOISE AND. Mehmet Bilgen and James H. Center for NDE Iowa State University Ames, IA 50011

ULTRASONIC INSPECTION, MATERIAL NOISE AND. Mehmet Bilgen and James H. Center for NDE Iowa State University Ames, IA 50011 ULTRASONIC INSPECTION, MATERIAL NOISE AND SURFACE ROUGHNESS Mehmet Bilgen and James H. Center for NDE Iowa State University Ames, IA 511 Rose Peter B. Nagy Department of Welding Engineering Ohio State

More information

A model to predict modal radiation by finite-sized sources in semi-infinite isotropic plates

A model to predict modal radiation by finite-sized sources in semi-infinite isotropic plates Journal of Physics: Conference Series PAPER OPEN ACCESS A model to predict modal radiation by finite-sized sources in semi-infinite isotropic plates To cite this article: M Stévenin et al 207 J. Phys.:

More information

3.2 Complex Sinusoids and Frequency Response of LTI Systems

3.2 Complex Sinusoids and Frequency Response of LTI Systems 3. Introduction. A signal can be represented as a weighted superposition of complex sinusoids. x(t) or x[n]. LTI system: LTI System Output = A weighted superposition of the system response to each complex

More information

Mixed-Mode Fracture Toughness Determination USING NON-CONVENTIONAL TECHNIQUES

Mixed-Mode Fracture Toughness Determination USING NON-CONVENTIONAL TECHNIQUES Mixed-Mode Fracture Toughness Determination USING NON-CONVENTIONAL TECHNIQUES IDMEC- Pólo FEUP DEMec - FEUP ESM Virginia Tech motivation fracture modes conventional tests [mode I] conventional tests [mode

More information

LECTURE 12 Sections Introduction to the Fourier series of periodic signals

LECTURE 12 Sections Introduction to the Fourier series of periodic signals Signals and Systems I Wednesday, February 11, 29 LECURE 12 Sections 3.1-3.3 Introduction to the Fourier series of periodic signals Chapter 3: Fourier Series of periodic signals 3. Introduction 3.1 Historical

More information

Predictive modeling of piezoelectric wafer active sensors interaction with high-frequency structural waves and vibration

Predictive modeling of piezoelectric wafer active sensors interaction with high-frequency structural waves and vibration Acta Mech DOI 1.17/s77-12-633- Victor Giurgiutiu Matthieu Gresil Bin Lin Adrian Cuc Yanfeng Shen Catalin Roman Predictive modeling of piezoelectric wafer active sensors interaction with high-frequency

More information

Summary of lecture 1. E x = E x =T. X T (e i!t ) which motivates us to define the energy spectrum Φ xx (!) = jx (i!)j 2 Z 1 Z =T. 2 d!

Summary of lecture 1. E x = E x =T. X T (e i!t ) which motivates us to define the energy spectrum Φ xx (!) = jx (i!)j 2 Z 1 Z =T. 2 d! Summary of lecture I Continuous time: FS X FS [n] for periodic signals, FT X (i!) for non-periodic signals. II Discrete time: DTFT X T (e i!t ) III Poisson s summation formula: describes the relationship

More information

EWGAE 2010 Vienna, 8th to 10th September

EWGAE 2010 Vienna, 8th to 10th September EWGAE 21 Vienna, 8th to 1th September Influence of Specimen Geometry on Acoustic Emission Signals in Fiber Reinforced Composites: FEM-Simulations and Experiments Markus G. R. SAUSE, Siegfried HORN University

More information

The Discrete Fourier Transform

The Discrete Fourier Transform In [ ]: cd matlab pwd The Discrete Fourier Transform Scope and Background Reading This session introduces the z-transform which is used in the analysis of discrete time systems. As for the Fourier and

More information

Part 7. Nonlinearity

Part 7. Nonlinearity Part 7 Nonlinearity Linear System Superposition, Convolution re ( ) re ( ) = r 1 1 = r re ( 1 + e) = r1 + r e excitation r = r() e response In the time domain: t rt () = et () ht () = e( τ) ht ( τ) dτ

More information

DOING PHYSICS WITH MATLAB

DOING PHYSICS WITH MATLAB DOING PHYSICS WITH MATLAB ELECTROMAGNETISM USING THE FDTD METHOD [1D] Propagation of Electromagnetic Waves Matlab Download Director ft_3.m ft_sources.m Download and run the script ft_3.m. Carefull inspect

More information

CFRP Bonds Evaluation Using Piezoelectric Transducer

CFRP Bonds Evaluation Using Piezoelectric Transducer 4th International Symposium on NDT in Aerospace 2012 - Th.1.B.2 CFRP Bonds Evaluation Using Piezoelectric Transducer Paweł MALINOWSKI*, Łukasz SKARBEK*, Tomasz WANDOWSKI*, Wiesław OSTACHOWICZ* * Institute

More information

Wireless Communications

Wireless Communications NETW701 Wireless Communications Dr. Wassim Alexan Winter 2018 Lecture 2 NETW705 Mobile Communication Networks Dr. Wassim Alexan Winter 2018 Lecture 2 Wassim Alexan 2 Reflection When a radio wave propagating

More information

Introduction to Seismology Spring 2008

Introduction to Seismology Spring 2008 MIT OpenCourseWare http://ocw.mit.edu 12.510 Introduction to Seismology Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 12.510 Introduction

More information

Transform Representation of Signals

Transform Representation of Signals C H A P T E R 3 Transform Representation of Signals and LTI Systems As you have seen in your prior studies of signals and systems, and as emphasized in the review in Chapter 2, transforms play a central

More information

10. OPTICAL COHERENCE TOMOGRAPHY

10. OPTICAL COHERENCE TOMOGRAPHY 1. OPTICAL COHERENCE TOMOGRAPHY Optical coherence tomography (OCT) is a label-free (intrinsic contrast) technique that enables 3D imaging of tissues. The principle of its operation relies on low-coherence

More information

David Weenink. First semester 2007

David Weenink. First semester 2007 Institute of Phonetic Sciences University of Amsterdam First semester 2007 Definition (ANSI: In Psycho-acoustics) is that auditory attribute of sound according to which sounds can be ordered on a scale

More information

EE102 Homework 2, 3, and 4 Solutions

EE102 Homework 2, 3, and 4 Solutions EE12 Prof. S. Boyd EE12 Homework 2, 3, and 4 Solutions 7. Some convolution systems. Consider a convolution system, y(t) = + u(t τ)h(τ) dτ, where h is a function called the kernel or impulse response of

More information

Lecture #2: Split Hopkinson Bar Systems

Lecture #2: Split Hopkinson Bar Systems Lecture #2: Split Hopkinson Bar Systems by Dirk Mohr ETH Zurich, Department of Mechanical and Process Engineering, Chair of Computational Modeling of Materials in Manufacturing 2015 1 1 1 Uniaxial Compression

More information

EP225 Note No. 4 Wave Motion

EP225 Note No. 4 Wave Motion EP5 Note No. 4 Wave Motion 4. Sinusoidal Waves, Wave Number Waves propagate in space in contrast to oscillations which are con ned in limited regions. In describing wave motion, spatial coordinates enter

More information

Flow-Induced Vibration of Pipeline on Elastic Support

Flow-Induced Vibration of Pipeline on Elastic Support Available online at www.sciencedirect.com Procedia Engineering () 986 99 The Twelfth East Asia-Pacific Conference on Structural Engineering and Construction Flow-Induced Vibration of Pipeline on Elastic

More information

FROM NEAR FIELD TO FAR FIELD AND BEYOND

FROM NEAR FIELD TO FAR FIELD AND BEYOND More info about this article: h Czech Society for Nondestructive Testing 32 nd European Conference on Acoustic Emission Testing Prague, Czech Republic, September 07-09, 2016 FROM NEAR FIELD TO FAR FIELD

More information

Finite element modeling of pulsed spiral coil Electromagnetic Acoustic Transducer (EMAT) for testing of plate

Finite element modeling of pulsed spiral coil Electromagnetic Acoustic Transducer (EMAT) for testing of plate Finite element modeling of pulsed spiral coil Electromagnetic Acoustic Transducer (EMAT) for testing of plate R. Dhayalan, Anish Kumar, B. Purnachandra Rao and T. Jayakumar Ultrasonic Measurement Section

More information

Tailorable stimulated Brillouin scattering in nanoscale silicon waveguides.

Tailorable stimulated Brillouin scattering in nanoscale silicon waveguides. Tailorable stimulated Brillouin scattering in nanoscale silicon waveguides. Heedeuk Shin 1, Wenjun Qiu 2, Robert Jarecki 1, Jonathan A. Cox 1, Roy H. Olsson III 1, Andrew Starbuck 1, Zheng Wang 3, and

More information

B 2 P 2, which implies that g B should be

B 2 P 2, which implies that g B should be Enhanced Summary of G.P. Agrawal Nonlinear Fiber Optics (3rd ed) Chapter 9 on SBS Stimulated Brillouin scattering is a nonlinear three-wave interaction between a forward-going laser pump beam P, a forward-going

More information

THE PHYSICS OF WAVES CHAPTER 1. Problem 1.1 Show that Ψ(x, t) = (x vt) 2. is a traveling wave.

THE PHYSICS OF WAVES CHAPTER 1. Problem 1.1 Show that Ψ(x, t) = (x vt) 2. is a traveling wave. CHAPTER 1 THE PHYSICS OF WAVES Problem 1.1 Show that Ψ(x, t) = (x vt) is a traveling wave. Show thatψ(x, t) is a wave by substitutioninto Equation 1.1. Proceed as in Example 1.1. On line version uses Ψ(x,

More information

MATH 302 Partial Differential Equations Fall Density

MATH 302 Partial Differential Equations Fall Density MATH 3 Partial Differential Equations Fall 11 Density Most of us first learned about density as mass divided by volume. This made sense in considering a specific object of uniform composition. We can separately

More information

Lab Reports Due on Monday, 11/24/2014

Lab Reports Due on Monday, 11/24/2014 AE 3610 Aerodynamics I Wind Tunnel Laboratory: Lab 4 - Pressure distribution on the surface of a rotating circular cylinder Lab Reports Due on Monday, 11/24/2014 Objective In this lab, students will be

More information

A New Ultrasonic Immersion Technique to Retrieve Anisotropic Stiffness Matrix for Dispersion Curves Algorithms

A New Ultrasonic Immersion Technique to Retrieve Anisotropic Stiffness Matrix for Dispersion Curves Algorithms A New Ultrasonic Immersion Technique to Retrieve Anisotropic Stiffness Matrix for Dispersion Curves Algorithms DARUN BARAZANCHY 1, WILLIAM ROTH 2 and VICTOR GIURGIUTIU 3 ABSTRACT Dispersion curve algorithms

More information

ACOUSTIC EMISSION SOURCE DETECTION USING THE TIME REVERSAL PRINCIPLE ON DISPERSIVE WAVES IN BEAMS

ACOUSTIC EMISSION SOURCE DETECTION USING THE TIME REVERSAL PRINCIPLE ON DISPERSIVE WAVES IN BEAMS ACOUSTIC EMISSION SOURCE DETECTION USING THE TIME REVERSAL PRINCIPLE ON DISPERSIVE WAVES IN BEAMS ERNST ROBERT 1,DUAL JURG 1 1 Institute of Mechanical Systems, Swiss Federal Institute of Technology, ETH

More information

Why quantum field theory?

Why quantum field theory? Why quantum field theory? It is often said that quantum field theory is the natural marriage of Einstein s special theory of relativity and the quantum theory. The point of this section will be to motivate

More information

Acoustic Emission in Wide Composite Specimens

Acoustic Emission in Wide Composite Specimens Advanced Materials Research Vols. 13-14 (2006) pp. 325-332 online at http://www.scientific.net (2006) Trans Tech Publications, Switzerland Acoustic Emission in Wide Composite Specimens 1 Scholey, J. J.,

More information

Signals, Instruments, and Systems W5. Introduction to Signal Processing Sampling, Reconstruction, and Filters

Signals, Instruments, and Systems W5. Introduction to Signal Processing Sampling, Reconstruction, and Filters Signals, Instruments, and Systems W5 Introduction to Signal Processing Sampling, Reconstruction, and Filters Acknowledgments Recapitulation of Key Concepts from the Last Lecture Dirac delta function (

More information

Data-driven methods in application to flood defence systems monitoring and analysis Pyayt, A.

Data-driven methods in application to flood defence systems monitoring and analysis Pyayt, A. UvA-DARE (Digital Academic Repository) Data-driven methods in application to flood defence systems monitoring and analysis Pyayt, A. Link to publication Citation for published version (APA): Pyayt, A.

More information

4. EXPERIMENTS AND RESULTS

4. EXPERIMENTS AND RESULTS 4. EXPERIMENTS AND RESULTS 4.1 Three-dimensional vibrometer To perform a TRNS from an experiment, it is necessary to know the radial, tangential, and axial displacement histories in the recording points

More information

Predictive Simulation of Structural Sensing

Predictive Simulation of Structural Sensing Predictive imulation of tructural ensing Matthieu Gresil 1, Victor Giurgiutiu 2 and Yanfeng hen 3. LM, University of outh Carolina, Columbia, C, 2928, U This paper discusses the development of a methodology

More information

Experiment 0: Periodic Signals and the Fourier Series

Experiment 0: Periodic Signals and the Fourier Series University of Rhode Island Department of Electrical and Computer Engineering ELE : Communication Systems Experiment : Periodic Signals and the Fourier Series Introduction In this experiment, we will investigate

More information

Bending and Shear in Beams

Bending and Shear in Beams Bending and Shear in Beams Lecture 3 5 th October 017 Contents Lecture 3 What reinforcement is needed to resist M Ed? Bending/ Flexure Section analysis, singly and doubly reinforced Tension reinforcement,

More information

Monolithic N-Channel JFET Dual

Monolithic N-Channel JFET Dual N9 Monolithic N-Channel JFET Dual V GS(off) (V) V (BR)GSS Min (V) g fs Min (ms) I G Max (pa) V GS V GS Max (mv). to. Monolithic Design High Slew Rate Low Offset/Drift Voltage Low Gate Leakage: pa Low Noise:

More information

Problem Set 8 Mar 5, 2004 Due Mar 10, 2004 ACM 95b/100b 3pm at Firestone 303 E. Sterl Phinney (2 pts) Include grading section number

Problem Set 8 Mar 5, 2004 Due Mar 10, 2004 ACM 95b/100b 3pm at Firestone 303 E. Sterl Phinney (2 pts) Include grading section number Problem Set 8 Mar 5, 24 Due Mar 1, 24 ACM 95b/1b 3pm at Firestone 33 E. Sterl Phinney (2 pts) Include grading section number Useful Readings: For Green s functions, see class notes and refs on PS7 (esp

More information

Mandatory Assignment 2013 INF-GEO4310

Mandatory Assignment 2013 INF-GEO4310 Mandatory Assignment 2013 INF-GEO4310 Deadline for submission: 12-Nov-2013 e-mail the answers in one pdf file to vikashp@ifi.uio.no Part I: Multiple choice questions Multiple choice geometrical optics

More information

Sampling اهمتسیس و اهلانگیس یرهطم لضفلاوبا دیس فیرش یتعنص هاگشناد رتویپماک هدکشناد

Sampling اهمتسیس و اهلانگیس یرهطم لضفلاوبا دیس فیرش یتعنص هاگشناد رتویپماک هدکشناد Sampling سیگنالها و سیستمها سید ابوالفضل مطهری دانشکده کامپیوتر دانشگاه صنعتی شریف Sampling Conversion of a continuous-time signal to discrete time. x(t) x[n] 0 2 4 6 8 10 t 0 2 4 6 8 10 n Sampling Applications

More information