The Physics of Sound 1
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Glossary Physics (I-Introduction)
1 Glossary Physics (I-introduction) - Efficiency: The percent of the work put into a machine that is converted into useful work output; = work done / energy used [-]. = eta In machines: The work output of any machine cannot exceed the work input (<=100%); in an ideal machine, where no energy is transformed into heat: work(input) = work(output), =100%. Energy: The property of a system that enables it to do work. Conservation o. E.: Energy cannot be created or destroyed; it may be transformed from one form into another, but the total amount of energy never changes. Equilibrium: The state of an object when not acted upon by a net force or net torque; an object in equilibrium may be at rest or moving at uniform velocity - not accelerating. Mechanical E.: The state of an object or system of objects for which any impressed forces cancels to zero and no acceleration occurs. Dynamic E.: Object is moving without experiencing acceleration. Static E.: Object is at rest.F Force: The influence that can cause an object to be accelerated or retarded; is always in the direction of the net force, hence a vector quantity; the four elementary forces are: Electromagnetic F.: Is an attraction or repulsion G, gravit. const.6.672E-11[Nm2/kg2] between electric charges: d, distance [m] 2 2 2 2 F = 1/(40) (q1q2/d ) [(CC/m )(Nm /C )] = [N] m,M, mass [kg] Gravitational F.: Is a mutual attraction between all masses: q, charge [As] [C] 2 2 2 2 F = GmM/d [Nm /kg kg 1/m ] = [N] 0, dielectric constant Strong F.: (nuclear force) Acts within the nuclei of atoms: 8.854E-12 [C2/Nm2] [F/m] 2 2 2 2 2 F = 1/(40) (e /d ) [(CC/m )(Nm /C )] = [N] , 3.14 [-] Weak F.: Manifests itself in special reactions among elementary e, 1.60210 E-19 [As] [C] particles, such as the reaction that occur in radioactive decay. -
Decoding Articulatory Features from Fmri Responses in Dorsal Speech Regions
The Journal of Neuroscience, November 11, 2015 • 35(45):15015–15025 • 15015 Behavioral/Cognitive Decoding Articulatory Features from fMRI Responses in Dorsal Speech Regions Joao M. Correia, Bernadette M.B. Jansma, and Milene Bonte Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, and Maastricht Brain Imaging Center, 6229 EV Maastricht, The Netherlands The brain’s circuitry for perceiving and producing speech may show a notable level of overlap that is crucial for normal development and behavior. The extent to which sensorimotor integration plays a role in speech perception remains highly controversial, however. Meth- odological constraints related to experimental designs and analysis methods have so far prevented the disentanglement of neural responses to acoustic versus articulatory speech features. Using a passive listening paradigm and multivariate decoding of single-trial fMRIresponsestospokensyllables,weinvestigatedbrain-basedgeneralizationofarticulatoryfeatures(placeandmannerofarticulation, and voicing) beyond their acoustic (surface) form in adult human listeners. For example, we trained a classifier to discriminate place of articulation within stop syllables (e.g., /pa/ vs /ta/) and tested whether this training generalizes to fricatives (e.g., /fa/ vs /sa/). This novel approach revealed generalization of place and manner of articulation at multiple cortical levels within the dorsal auditory pathway, including auditory, sensorimotor, motor, and somatosensory regions, suggesting -
Primary Mechanical Vibrators Mass-Spring System Equation Of
Primary Mechanical Vibrators Music 206: Mechanical Vibration Tamara Smyth, [email protected] • With a model of a wind instrument body, a model of Department of Music, the mechanical “primary” resonator is needed for a University of California, San Diego (UCSD) complete instrument. November 15, 2019 • Many sounds are produced by coupling the mechanical vibrations of a source to the resonance of an acoustic tube: – In vocal systems, air pressure from the lungs controls the oscillation of a membrane (vocal fold), creating a variable constriction through which air flows. – Similarly, blowing into the mouthpiece of a clarinet will cause the reed to vibrate, narrowing and widening the airflow aperture to the bore. 1 Music 206: Mechanical Vibration 2 Mass-spring System Equation of Motion • Before modeling this mechanical vibrating system, • The force on an object having mass m and let’s review some acoustics, and mechanical vibration. acceleration a may be determined using Newton’s second law of motion • The simplest oscillator is the mass-spring system: – a horizontal spring fixed at one end with a mass F = ma. connected to the other. • There is an elastic force restoring the mass to its equilibrium position, given by Hooke’s law m F = −Kx, K x where K is a constant describing the stiffness of the Figure 1: An ideal mass-spring system. spring. • The motion of an object can be describe in terms of • The spring force is equal and opposite to the force its due to acceleration, yielding the equation of motion: 2 1. displacement x(t) d x m 2 = −Kx. -
Free and Forced Vibration Modes of the Human Fingertip
applied sciences Article Free and Forced Vibration Modes of the Human Fingertip Gokhan Serhat * and Katherine J. Kuchenbecker Haptic Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany; [email protected] * Correspondence: [email protected] Abstract: Computational analysis of free and forced vibration responses provides crucial information on the dynamic characteristics of deformable bodies. Although such numerical techniques are prevalently used in many disciplines, they have been underutilized in the quest to understand the form and function of human fingers. We addressed this opportunity by building DigiTip, a detailed three-dimensional finite element model of a representative human fingertip that is based on prior anatomical and biomechanical studies. Using the developed model, we first performed modal analyses to determine the free vibration modes with associated frequencies up to about 250 Hz, the frequency at which humans are most sensitive to vibratory stimuli on the fingertip. The modal analysis results reveal that this typical human fingertip exhibits seven characteristic vibration patterns in the considered frequency range. Subsequently, we applied distributed harmonic forces at the fingerprint centroid in three principal directions to predict forced vibration responses through frequency-response analyses; these simulations demonstrate that certain vibration modes are excited significantly more efficiently than the others under the investigated conditions. The results illuminate the dynamic behavior of the human fingertip in haptic interactions involving oscillating stimuli, such as textures and vibratory alerts, and they show how the modal information can predict the forced vibration responses of the soft tissue. Citation: Serhat, G.; Kuchenbecker, Keywords: human fingertips; soft-tissue dynamics; natural vibration modes; frequency-response K.J. -
Sound and the Ear Chapter 2
© Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION Chapter© Jones & Bartlett 2 Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION Sound and the Ear © Jones Karen &J. Kushla,Bartlett ScD, Learning, CCC-A, FAAA LLC © Jones & Bartlett Learning, LLC Lecturer NOT School FOR of SALE Communication OR DISTRIBUTION Disorders and Deafness NOT FOR SALE OR DISTRIBUTION Kean University © Jones & Bartlett Key Learning, Terms LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR Acceleration DISTRIBUTION Incus NOT FOR SALE OR Saccule DISTRIBUTION Acoustics Inertia Scala media Auditory labyrinth Inner hair cells Scala tympani Basilar membrane Linear scale Scala vestibuli Bel Logarithmic scale Semicircular canals Boyle’s law Malleus Sensorineural hearing loss Broca’s area © Jones & Bartlett Mass Learning, LLC Simple harmonic© Jones motion (SHM) & Bartlett Learning, LLC Brownian motion Membranous labyrinth Sound Cochlea NOT FOR SALE OR Mixed DISTRIBUTION hearing loss Stapedius muscleNOT FOR SALE OR DISTRIBUTION Compression Organ of Corti Stapes Condensation Osseous labyrinth Tectorial membrane Conductive hearing loss Ossicular chain Tensor tympani muscle Decibel (dB) Ossicles Tonotopic organization © Jones Decibel & hearing Bartlett level (dB Learning, HL) LLC Outer ear © Jones Transducer & Bartlett Learning, LLC Decibel sensation level (dB SL) Outer hair cells Traveling wave theory NOT Decibel FOR sound SALE pressure OR level DISTRIBUTION -
Lab 12. Vibrating Strings
Lab 12. Vibrating Strings Goals • To experimentally determine the relationships between the fundamental resonant frequency of a vibrating string and its length, its mass per unit length, and the tension in the string. • To introduce a useful graphical method for testing whether the quantities x and y are related by a “simple power function” of the form y = axn. If so, the constants a and n can be determined from the graph. • To experimentally determine the relationship between resonant frequencies and higher order “mode” numbers. • To develop one general relationship/equation that relates the resonant frequency of a string to the four parameters: length, mass per unit length, tension, and mode number. Introduction Vibrating strings are part of our common experience. Which as you may have learned by now means that you have built up explanations in your subconscious about how they work, and that those explanations are sometimes self-contradictory, and rarely entirely correct. Musical instruments from all around the world employ vibrating strings to make musical sounds. Anyone who plays such an instrument knows that changing the tension in the string changes the pitch, which in physics terms means changing the resonant frequency of vibration. Similarly, changing the thickness (and thus the mass) of the string also affects its sound (frequency). String length must also have some effect, since a bass violin is much bigger than a normal violin and sounds much different. The interplay between these factors is explored in this laboratory experi- ment. You do not need to know physics to understand how instruments work. In fact, in the course of this lab alone you will engage with material which entire PhDs in music theory have been written. -
SIRT1 Protects Cochlear Hair Cell and Delays Age-Related Hearing Loss Via Autophagy
Neurobiology of Aging 80 (2019) 127e137 Contents lists available at ScienceDirect Neurobiology of Aging journal homepage: www.elsevier.com/locate/neuaging SIRT1 protects cochlear hair cell and delays age-related hearing loss via autophagy Jiaqi Pang a,b,c,d,1, Hao Xiong a,b,e,1, Yongkang Ou a,b,e, Haidi Yang a,b,e, Yaodong Xu a,b, Suijun Chen a,b,e, Lan Lai a,b,c, Yongyi Ye a,f, Zhongwu Su a,b, Hanqing Lin a,b, Qiuhong Huang a,b,e, Xiaoding Xu c,d,*, Yiqing Zheng a,b,e,** a Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou China b Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou, China c Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China d RNA Biomedical Institute, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China e Department of Hearing and Speech Science, Xinhua College, Sun Yat-sen University, Guangzhou, China f School of Public Health, Sun Yat-Sen University, Guangzhou, China article info abstract Article history: Age-related hearing loss (AHL) is typically caused by the irreversible death of hair cells (HCs). Autophagy Received 10 January 2019 is a constitutive pathway to strengthen cell survival under normal or stress condition. Our previous work Received in revised form 29 March 2019 suggested that impaired autophagy played an important role in the development of AHL in C57BL/6 mice, Accepted 4 April 2019 although the underlying mechanism of autophagy in AHL still needs to be investigated. -
Effect of Moisture Distribution on Velocity and Waveform of Ultrasonic-Wave Propagation in Mortar
materials Article Effect of Moisture Distribution on Velocity and Waveform of Ultrasonic-Wave Propagation in Mortar Shinichiro Okazaki 1,* , Hiroma Iwase 2, Hiroyuki Nakagawa 3, Hidenori Yoshida 1 and Ryosuke Hinei 4 1 Faculty of Engineering and Design, Kagawa University, 2217-20 Hayashi, Takamatsu, Kagawa 761-0396, Japan; [email protected] 2 Chuo Consultants, 2-11-23 Nakono, Nishi-ku, Nagoya, Aichi 451-0042, Japan; [email protected] 3 Shikoku Research Institute Inc., 2109-8 Yashima, Takamatsu, Kagawa 761-0113, Japan; [email protected] 4 Building Engineering Group, Civil Engineering and Construction Department, Shikoku Electric Power Co., Inc., 2-5 Marunouchi, Takamatsu, Kagawa 760-8573, Japan; [email protected] * Correspondence: [email protected] Abstract: Considering that the ultrasonic method is applied for the quality evaluation of concrete, this study experimentally and numerically investigates the effect of inhomogeneity caused by changes in the moisture content of concrete on ultrasonic wave propagation. The experimental results demonstrate that the propagation velocity and amplitude of the ultrasonic wave vary for different moisture content distributions in the specimens. In the analytical study, the characteristics obtained experimentally are reproduced by modeling a system in which the moisture content varies between the surface layer and interior of concrete. Keywords: concrete; ultrasonic; water content; elastic modulus Citation: Okazaki, S.; Iwase, H.; 1. Introduction Nakagawa, H.; Yoshida, H.; Hinei, R. Effect of Moisture Distribution on As many infrastructures deteriorate at an early stage, long-term structure management Velocity and Waveform of is required. If structural deterioration can be detected as early as possible, the scale of Ultrasonic-Wave Propagation in repair can be reduced, decreasing maintenance costs [1]. -
Introduction to Noise Radar and Its Waveforms
sensors Article Introduction to Noise Radar and Its Waveforms Francesco De Palo 1, Gaspare Galati 2 , Gabriele Pavan 2,* , Christoph Wasserzier 3 and Kubilay Savci 4 1 Department of Electronic Engineering, Tor Vergata University of Rome, now with Rheinmetall Italy, 00131 Rome, Italy; [email protected] 2 Department of Electronic Engineering, Tor Vergata University and CNIT-Consortium for Telecommunications, Research Unit of Tor Vergata University of Rome, 00133 Rome, Italy; [email protected] 3 Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, 53343 Wachtberg, Germany; [email protected] 4 Turkish Naval Research Center Command and Koc University, Istanbul, 34450 Istanbul,˙ Turkey; [email protected] * Correspondence: [email protected] Received: 31 July 2020; Accepted: 7 September 2020; Published: 11 September 2020 Abstract: In the system-level design for both conventional radars and noise radars, a fundamental element is the use of waveforms suited to the particular application. In the military arena, low probability of intercept (LPI) and of exploitation (LPE) by the enemy are required, while in the civil context, the spectrum occupancy is a more and more important requirement, because of the growing request by non-radar applications; hence, a plurality of nearby radars may be obliged to transmit in the same band. All these requirements are satisfied by noise radar technology. After an overview of the main noise radar features and design problems, this paper summarizes recent developments in “tailoring” pseudo-random sequences plus a novel tailoring method aiming for an increase of detection performance whilst enabling to produce a (virtually) unlimited number of noise-like waveforms usable in different applications. -
Using the Partial Wave Method for Wave Structure Calculation and the Conceptual Interpretation of Elastodynamic Guided Waves
applied sciences Article Using the Partial Wave Method for Wave Structure Calculation and the Conceptual Interpretation of Elastodynamic Guided Waves Christopher Hakoda and Cliff J. Lissenden * Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16802, USA; [email protected] * Correspondence: [email protected] Received: 8 May 2018; Accepted: 8 June 2018; Published: 12 June 2018 Featured Application: Shortcut to wave-structure calculation for elastodynamic guided waves and prediction of acoustic leakage behavior. Abstract: The partial-wave method takes advantage of the Christoffel equation’s generality to represent waves within a waveguide. More specifically, the partial-wave method is well known for its usefulness when calculating dispersion curves for multilayered and/or anisotropic plates. That is, it is a vital component of the transfer-matrix method and the global-matrix method, which are used for dispersion curve calculation. The literature suggests that the method is also exceptionally useful for conceptual interpretation, but gives very few examples or instruction on how this can be done. In this paper, we expand on this topic of conceptual interpretation by addressing Rayleigh waves, Stoneley waves, shear horizontal waves, and Lamb waves. We demonstrate that all of these guided waves can be described using the partial-wave method, which establishes a common foundation on which many elastodynamic guided waves can be compared, translated, and interpreted. For Lamb waves specifically, we identify the characteristics of guided wave modes that have not been formally discussed in the literature. Additionally, we use what is demonstrated in the body of the paper to investigate the leaky characteristics of Lamb waves, which eventually leads to finding a correlation between oblique bulk wave propagation in the waveguide and the transmission amplitude ratios found in the literature. -
Cell Phones Silent Clickers on Remember - Learning Team – You Can Email/Skype/Facetime/Zoom in Virtual Office Hours
This is PHYS 1240 - Sound and Music Lecture 11 Professor Patricia Rankin Cell Phones silent Clickers on Remember - Learning Team – you can email/skype/facetime/zoom in virtual office hours Graduate student Teaching Assistant Tyler C Mcmaken - online 10-11am Friday Undergraduate Learning Assistants Madeline Karr Online 6-7pm Monday Rishi Mayekar Online 11-12noon Thur Miles Warnke Online 3-4pm Wed Professor Patricia Rankin Online 2-3pm Wed Physics 1240 Lecture 11 Today: Timbre, Fourier, Sound Spectra, Sampling Size Next time: Sound Intensity, Intervals, Scales physicscourses.colorado.edu/phys1240 Canvas Site: assignments, administration, grades Homework – HW5 Due Wed February 19th 5pm Homelabs – Hlab3 Due Monday Feb 24th 5pm Debrief – Last Class(es) Waves in pipes Open-open n=1,2,3,4 Closed-open n = 1,3,5 Pressure nodes at open ends, pressure antinodes at closed ends Displacement nodes/antinodes opposite to pressure ones. Open-open 푓푛=푛∙푣푠/2퐿 So, fundamental doesn’t depend just on length of pipe Closed-open 푓푛=푛∙푣푠/4퐿 Homework hints Check your units You can use yx key to find 2n Be aware – you may need to do some manipulation e.g. Suppose question asks you to find the mass/unit length of a string given velocity, tension…. You know F 2 퐹 , 퐹 v 푠표, 푣푡 = 휇 = 2 t 휇 푣푡 Timbre – the tone color/voice of an instrument Timbre is why we can recognize different instruments from steady tones. Perception Physics Pitch Frequency Consonance Frequencies are ratios of small integers Loudness Overall amplitude Timbre Amplitudes of a harmonic series of notes Superposition We can add/superimpose sine waves to get a more complex wave profile Overall shape (Timbre) depends on the frequency spectra (the frequencies of waves added together), and the amplitudes of the waves Ohm's acoustic law, sometimes called the acoustic phase law or simply Ohm's law (but another Ohm’s law in Electricity and Magnetism), states that a musical sound is perceived by the ear as the fundamental note of a set of a number of constituent pure harmonic tones. -
Acoustics & Ultrasonics
Dr.R.Vasuki Associate professor & Head Department of Physics Thiagarajar College of Engineering Madurai-625015 Science of sound that deals with origin, propagation and auditory sensation of sound. Sound production Propagation by human beings/machines Reception Classification of Sound waves Infrasonic audible ultrasonic Inaudible Inaudible < 20 Hz 20 Hz to 20,000 Hz ˃20,000 Hz Music – The sound which produces rhythmic sensation on the ears Noise-The sound which produces jarring & unpleasant effect To differentiate sound & noise Regularity of vibration Degree of damping Ability of ear to recognize the components Sound is a form of energy Sound is produced by the vibration of the body Sound requires a material medium for its propagation. When sound is conveyed from one medium to another medium there is no bodily motion of the medium Sound can be transmitted through solids, liquids and gases. Velocity of sound is higher in solids and lower in gases. Sound travels with velocity less than the velocity 8 of light. c= 3x 10 V0 =330 m/s at 0° degree Lightning comes first than thunder VT= V0+0.6 T Sound may be reflected, refracted or scattered. It undergoes diffraction and interference. Pitch or frequency Quality or timbre Intensity or Loudness Pitch is defined as the no of vibrations/sec. Frequency is a physical quantity but pitch is a physiological quantity. Mosquito- high pitch Lion- low pitch Quality or timbre is the one which helps to distinguish between the musical notes emitted by the different instruments or voices even though they have the same pitch. Intensity or loudness It is the average rate of flow of acoustic energy (Q) per unit area(A) situated normally to the direction of propagation of sound waves.