Residential Noise Control Guidance Sheet 6/29/16
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Significance of Beating Observed in Earthquake Responses of Buildings
SIGNIFICANCE OF BEATING OBSERVED IN EARTHQUAKE RESPONSES OF BUILDINGS Mehmet Çelebi1, S. Farid Ghahari2, and Ertuğrul Taciroǧlu2 U.S. Geological Survey1 and University of California, Los Angeles2 Menlo Park, California, USA1 and Los Angeles, California, USA2 Abstract The beating phenomenon observed in the recorded responses of a tall building in Japan and another in the U.S. are examined in this paper. Beating is a periodic vibrational behavior caused by distinctive coupling between translational and torsional modes that typically have close frequencies. Beating is prominent in the prolonged resonant responses of lightly damped structures. Resonances caused by site effects also contribute to accentuating the beating effect. Spectral analyses and system identification techniques are used herein to quantify the periods and amplitudes of the beating effects from the strong motion recordings of the two buildings. Quantification of beating effects is a first step towards determining remedial actions to improve resilient building performance to strong earthquake induced shaking. Introduction In a cursory survey of several textbooks on structural dynamics, it can be seen that beating effects have not been included in their scopes. On the other hand, as more earthquake response records from instrumented buildings became available, it also became evident that the beating phenomenon is common. As modern digital equipment routinely provide recordings of prolonged responses of structures, we were prompted to visit the subject of beating, since such response characteristics may impact the instantaneous and long-term shaking performances of buildings during large or small earthquakes. The main purpose in deploying seismic instruments in buildings (and other structures) is to record their responses during seismic events to facilitate studies understanding and assessing their behavior and performances during and future strong shaking events. -
All You Need to Know About SINAD Measurements Using the 2023
applicationapplication notenote All you need to know about SINAD and its measurement using 2023 signal generators The 2023A, 2023B and 2025 can be supplied with an optional SINAD measuring capability. This article explains what SINAD measurements are, when they are used and how the SINAD option on 2023A, 2023B and 2025 performs this important task. www.ifrsys.com SINAD and its measurements using the 2023 What is SINAD? C-MESSAGE filter used in North America SINAD is a parameter which provides a quantitative Psophometric filter specified in ITU-T Recommendation measurement of the quality of an audio signal from a O.41, more commonly known from its original description as a communication device. For the purpose of this article the CCITT filter (also often referred to as a P53 filter) device is a radio receiver. The definition of SINAD is very simple A third type of filter is also sometimes used which is - its the ratio of the total signal power level (wanted Signal + unweighted (i.e. flat) over a broader bandwidth. Noise + Distortion or SND) to unwanted signal power (Noise + The telephony filter responses are tabulated in Figure 2. The Distortion or ND). It follows that the higher the figure the better differences in frequency response result in different SINAD the quality of the audio signal. The ratio is expressed as a values for the same signal. The C-MES signal uses a reference logarithmic value (in dB) from the formulae 10Log (SND/ND). frequency of 1 kHz while the CCITT filter uses a reference of Remember that this a power ratio, not a voltage ratio, so a 800 Hz, which results in the filter having "gain" at 1 kHz. -
Echo Eliminator Ceiling & Wall Panels
Echo Eliminator Ceiling & Wall Panels Echo Eliminator, or Bonded Acoustical Cotton (B.A.C.), is the most cost-effective acoustical absorbing material on the market. It is a high-performance panel manufactured from recycled cotton, and is ideal for noise control applications. Echo Eliminator can easily be installed as acoustical wall panels or hanging baffles. • No VOCs (Volatile Organic Compounds) • No formaldehyde, requires no warning labels • Fungi-, mold-, and mildew-resistant • Class A Fire Rated (Non-flammable per ASTM E-84) ACOUSTICAL SURFACES, INC. CELEBRATING 35 YEARS – SOUNDPROOFING, ACOUSTICS, NOISE & VIBRATION SPECIALISTS! ™ 952.448.5300 • 800.448.0121 • [email protected] • www.acousticalsurfaces.com Echo Eliminator APPLICATIONS Residential, commercial, industrial; schools, restaurants, classrooms, Ceiling & Wall Panels houses of worship, community centers, offices, conference rooms, music rooms, recording studios, theaters, public spaces, medical facilities, audi- toriums, arenas/stadiums, warehouses, manufacturing plants, and more. Acoustics and Expected Performance: Absorbing sound and reducing echo / reverberation can be challeng- ing. Echo Eliminator offers a high Noise Reduction Coefficient (NRC) to reduce the amount of sound within a room. One-inch thick panels are appropriate for areas wher e the main issue is understanding speech. Rooms with more mid-and-low frequency noise, or where music is present, benefit from using two-inch thick panels. SIZES & OPTIONS Standard Size: 24" x 48" (minimum quantities apply, call for details); options: 12" x 12", 24" x 24", 48" x 48", 48" x 96". Note: All sizes are nominal and subject to manufacturing tolerances that may vary +/- 1/8". Thickness/Density: 1" thick / 3 lb. per cubic foot (pcf); 1" thick/6 lb. -
New ELBRIGHT TOSHIBA HIGH SPEED ELEVATORS Concept of New ELBRIGHT
New ELBRIGHT TOSHIBA HIGH SPEED ELEVATORS Concept of New ELBRIGHT New ELBRIGHT CONTENTS ●New ELBRIGHT Machine-Room TOSHIBA HIGH SPEED ELEVATORS PRODUCT CONCEPT New technology planning/Group control system Traffic New ELBRIGHT A new concept in high-speed elevators. Elevator technology ·· ❸~❹ Toshiba never stops introducing the latest tech- nologies and polishing its high-speed elevator expertise. Toshiba proves this again with THE GUIDE LINE-1 New ELBRIGHT : a new elevator for a new age. Traffic planning / Group control system ·· ❺~❽ Toshiba engineering has combined to produce the 1-1 Deciding speed ········ ❻ world’s first inverter-control high-speed elevator, SPACE SAVING 1-2 Deciding number of cars ········ ❻ 1-3 Deciding passenger capacity ········ ❼ with the high-efficiency control, energy efficiency, ●Conventional type up to 50% reduction 1-4 Deciding service floors ········ ❼ elevator machine-room in machine room space and quiet operation demanded by today’s society. 1-5 Deciding the layout ········ ❼ 1-6 Operating system ········ ❽ 1-7 Group control system (EJ-1000series) ········ ❽ Soundproofing and harmonic distortion measures THE GUIDE LINE-2 Providing environmentally conscious products (New ELBRIGHT) Toshiba elevator group is promoting the development of environmentally Soundproofing and conscious products, which involves environmentally conscious product design, harmonic distortion the assessment of environmental impact of products and disclosure of the measures ·· 10~14 environmental performance of products. Products are developed -
AN279: Estimating Period Jitter from Phase Noise
AN279 ESTIMATING PERIOD JITTER FROM PHASE NOISE 1. Introduction This application note reviews how RMS period jitter may be estimated from phase noise data. This approach is useful for estimating period jitter when sufficiently accurate time domain instruments, such as jitter measuring oscilloscopes or Time Interval Analyzers (TIAs), are unavailable. 2. Terminology In this application note, the following definitions apply: Cycle-to-cycle jitter—The short-term variation in clock period between adjacent clock cycles. This jitter measure, abbreviated here as JCC, may be specified as either an RMS or peak-to-peak quantity. Jitter—Short-term variations of the significant instants of a digital signal from their ideal positions in time (Ref: Telcordia GR-499-CORE). In this application note, the digital signal is a clock source or oscillator. Short- term here means phase noise contributions are restricted to frequencies greater than or equal to 10 Hz (Ref: Telcordia GR-1244-CORE). Period jitter—The short-term variation in clock period over all measured clock cycles, compared to the average clock period. This jitter measure, abbreviated here as JPER, may be specified as either an RMS or peak-to-peak quantity. This application note will concentrate on estimating the RMS value of this jitter parameter. The illustration in Figure 1 suggests how one might measure the RMS period jitter in the time domain. The first edge is the reference edge or trigger edge as if we were using an oscilloscope. Clock Period Distribution J PER(RMS) = T = 0 T = TPER Figure 1. RMS Period Jitter Example Phase jitter—The integrated jitter (area under the curve) of a phase noise plot over a particular jitter bandwidth. -
How to Soundproof Light Aircraft
1 October 2004 Introduction We first put these ideas down in 1990, in the form of an instruction sheet that we handed out with Super Sound Proofing foam mat. Over the years we’ve expanded them, mostly by feedback from users of the product and have printed thousands of these little booklets. You are invited to pass back your experiences‘ with this and the other products that have been added to our arsenal in the fight against noise. We now have acoustical foam materials to be used in Boats, Trucks and Cars as well as new materials used in Architectural applications for home wall a& ceilings, sound studios, gyms, industrial as well as for band practice in the garage! Our specialty is aircraft applications as it is the most challenging! We are always available for free consulting at anytime for any application, to help you with what we know about methods and materials for sound- proofing. We’ll provide free copies of this booklet to groups and Associations; just let us know how many you need. The latest version of this manual is available from our website at http://soundproofing.org/infopages/soundprf.html © Copyright 1998/2002/2004 by Bill Nash - all rights reserved. Reprint rights granted when full credit is given. 2 Logbook Certification letter: SUPER SOUNDPROOFING CO P.O. Box 985 Vista CA 92085 (760) 752-3030 October I3, 2004 RE: FAA CERTIFICATION OF “SUPER SOUNDPROOFING” MATERIAL To Whom it May Concern: This letter provides information regarding Super Soundproofing Material for which we are the mill distributors. This letter is to certify the material has FAA approval obtained by testing at a FAA approved lab. -
Can You Reflect Sound? ECHO TUBE
Exhibit Sheet Can you reflect sound? ECHO TUBE (Type) Ages Topic Time Science 7-14 Sound <10 mins background Skills used Observation, Curiosity Overview for adults Echo Tube is a 15 metre hollow tube. When you shout or make a sound into the tube, it is reflected off the end of the tube and comes back to you. You hear this as an echo. The tube has two flaps within it that you can open or close, changing the length of the tube and the length of time it takes the echo to bounce back to you. What’s the science? Sound travels through the air as sound waves. When these sound waves meet a surface, they are reflected back to where they came from. Sound travels at 330 meters per second in air, which is much slower than light. This means that when light is reflected, we see its reflection instantly but when sound is reflected, we can hear the delay as an echo. The surface that the sound bounces off doesn’t have to be solid. The echo tube is open at both ends. The air pressure inside the tube is higher than the air pressure outside. When the sound wave meets the open end of the tube, this change in pressure causes a wave to be reflected down the tube from the open end. Science in your world Echoes from the open ends of tubes are what make musical instruments such as horns and trumpets work. The sound wave reflects up and down the tube from the open ends. -
Recent Advances in the Sound Insulation Properties of Bio-Based Materials
PEER-REVIEWED REVIEW ARTICLE bioresources.com Recent Advances in the Sound Insulation Properties of Bio-based Materials Xiaodong Zhu,a,b Birm-June Kim,c Qingwen Wang,a and Qinglin Wu b,* Many bio-based materials, which have lower environmental impact than traditional synthetic materials, show good sound absorbing and sound insulation performances. This review highlights progress in sound transmission properties of bio-based materials and provides a comprehensive account of various multiporous bio-based materials and multilayered structures used in sound absorption and insulation products. Furthermore, principal models of sound transmission are discussed in order to aid in an understanding of sound transmission properties of bio-based materials. In addition, the review presents discussions on the composite structure optimization and future research in using co-extruded wood plastic composite for sound insulation control. This review contributes to the body of knowledge on the sound transmission properties of bio-based materials, provides a better understanding of the models of some multiporous bio-based materials and multilayered structures, and contributes to the wider adoption of bio-based materials as sound absorbers. Keywords: Bio-based material; Acoustic properties; Sound transmission; Transmission loss; Sound absorbing; Sound insulation Contact information: a: Key Laboratory of Bio-based Material Science and Technology (Ministry of Education), Northeast Forestry University, Harbin 150040, China; b: School of Renewable Natural Resources, LSU AgCenter, Baton Rouge, Louisiana; c: Department of Forest Products and Biotechnology, Kookmin University, Seoul 136-702, Korea. * Corresponding author: [email protected] (Qinglin Wu) INTRODUCTION Noise reduction is a must, as noise has negative effects on physiological processes and human psychological health. -
Meeting Agenda 20-23 April 2004
ICES-Working Group on Fisheries Acoustics, Science and Technology Meeting Agenda 20-23 April 2004 DRAFT (8 April 2004) Sea Fisheries Institute (Demel Room) Gdynia, Poland Dr David Demer, USA, Chair April 20th 0900 Opening: host greeting, adoption of agenda, selection of rapporteur FAST Topic 1: Effectiveness of noise-reduced platforms (topic discussion leaders: Alex De Robertis and Ian H. McQuinn) 0930 Ron Mitson (presented by Paul G. Fernandes). “Underwater noise; a brief history of noise in fisheries.” (topic review) 1000 Paul G. Fernandes, Andrew S. Brierley, and F. Armstrong. “Examination of herring at the surface of the North Sea.” 1020 Coffee break 1040 Grazyna Grelowska and Ignacy Gloza. “The acoustic transmissions of a moving ship and a grey seal.” 1100 Pall Reynisson. “Noise reduced vessels; the Icelandic experience.” 1120 Janusz Burczynski. “New Deployment Options for Digital Sonar.” 1140 Martyn Simmons or Steve Goodwin. “TONES - an overview” 1200 Lunch 1330 Ron Mitson (presented by D. Van Holliday). “Does ICES CRR 209 need revision?” 1350 Discussion (topic discussion leaders: Alex De Robertis and Ian H. McQuinn) FAST Topic 2: Using acoustics for evaluating ecosystem structure, with emphasis on species identification (topic discussion leaders: Rudy Kloser and Rolf Korneliussen) 1430 John Horne. “Challenges and trends in acoustic species identification.” (topic review) 1500 Coffee break 1520 Michael Jech and William Michaels. “Multi-frequency analyses of acoustical survey data.” 1540 Paul G. Fernandes. “Determining the quality of a multifrequency identification algorithm.” 1600 A. Mair and Paul G. Fernandes. “Examination of plankton samples in relation to multifrequency echograms.” 1620 Valerie Mazauric and Laurent Berger. “The numerical tool OASIS for echograms simulation.” 1640 Valerie Mazauric and John Dalen. -
Signal-To-Noise Ratio and Dynamic Range Definitions
Signal-to-noise ratio and dynamic range definitions The Signal-to-Noise Ratio (SNR) and Dynamic Range (DR) are two common parameters used to specify the electrical performance of a spectrometer. This technical note will describe how they are defined and how to measure and calculate them. Figure 1: Definitions of SNR and SR. The signal out of the spectrometer is a digital signal between 0 and 2N-1, where N is the number of bits in the Analogue-to-Digital (A/D) converter on the electronics. Typical numbers for N range from 10 to 16 leading to maximum signal level between 1,023 and 65,535 counts. The Noise is the stochastic variation of the signal around a mean value. In Figure 1 we have shown a spectrum with a single peak in wavelength and time. As indicated on the figure the peak signal level will fluctuate a small amount around the mean value due to the noise of the electronics. Noise is measured by the Root-Mean-Squared (RMS) value of the fluctuations over time. The SNR is defined as the average over time of the peak signal divided by the RMS noise of the peak signal over the same time. In order to get an accurate result for the SNR it is generally required to measure over 25 -50 time samples of the spectrum. It is very important that your input to the spectrometer is constant during SNR measurements. Otherwise, you will be measuring other things like drift of you lamp power or time dependent signal levels from your sample. -
Image Denoising by Autoencoder: Learning Core Representations
Image Denoising by AutoEncoder: Learning Core Representations Zhenyu Zhao College of Engineering and Computer Science, The Australian National University, Australia, [email protected] Abstract. In this paper, we implement an image denoising method which can be generally used in all kinds of noisy images. We achieve denoising process by adding Gaussian noise to raw images and then feed them into AutoEncoder to learn its core representations(raw images itself or high-level representations).We use pre- trained classifier to test the quality of the representations with the classification accuracy. Our result shows that in task-specific classification neuron networks, the performance of the network with noisy input images is far below the preprocessing images that using denoising AutoEncoder. In the meanwhile, our experiments also show that the preprocessed images can achieve compatible result with the noiseless input images. Keywords: Image Denoising, Image Representations, Neuron Networks, Deep Learning, AutoEncoder. 1 Introduction 1.1 Image Denoising Image is the object that stores and reflects visual perception. Images are also important information carriers today. Acquisition channel and artificial editing are the two main ways that corrupt observed images. The goal of image restoration techniques [1] is to restore the original image from a noisy observation of it. Image denoising is common image restoration problems that are useful by to many industrial and scientific applications. Image denoising prob- lems arise when an image is corrupted by additive white Gaussian noise which is common result of many acquisition channels. The white Gaussian noise can be harmful to many image applications. Hence, it is of great importance to remove Gaussian noise from images. -
AN10062 Phase Noise Measurement Guide for Oscillators
Phase Noise Measurement Guide for Oscillators Contents 1 Introduction ............................................................................................................................................. 1 2 What is phase noise ................................................................................................................................. 2 3 Methods of phase noise measurement ................................................................................................... 3 4 Connecting the signal to a phase noise analyzer ..................................................................................... 4 4.1 Signal level and thermal noise ......................................................................................................... 4 4.2 Active amplifiers and probes ........................................................................................................... 4 4.3 Oscillator output signal types .......................................................................................................... 5 4.3.1 Single ended LVCMOS ........................................................................................................... 5 4.3.2 Single ended Clipped Sine ..................................................................................................... 5 4.3.3 Differential outputs ............................................................................................................... 6 5 Setting up a phase noise analyzer ...........................................................................................................