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Статті в журналах з теми "Vehicle acoustic":

1

LIU, Zhengqing, Jiangmei LIANG, Yujun ZHAO, Dawei GU, Mohammad FARD, and John Laurence DAVY. "Acoustic performance of a multi-layer vehicle interior trim sound-absorbing material." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 7 (November 30, 2023): 1799–808. http://dx.doi.org/10.3397/in_2023_0271.

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This paper investigated the acoustic properties of a multi-layer vehicle interior trim acoustic material. In this study, a thin fiber layer was inserted between the vehicle carpet and the porous sound-absorbing material layer, and backed by the vehicle floor. The theoretical prediction method was based on the Johnson-Champoux-Allard (JCA) model, and the sound absorption coefficient of the multi-layer vehicle interior trim acoustic material was calculated by using the transfer matrix method (TMM). An impedance tube was used to measure the normal incidence sound absorption coefficient of the vehicle interior trim with different combinations of acoustical materials. The comparison of the theoretical and the experimental results showed that the sound absorption coefficient curves predicted using the JCA model are consistent with the measurement data across the mid and high-frequency range (500-6400 Hz). In addition, a car cabin Statistical Energy Analysis (SEA) model was developed and used to predict the effect of the acoustic properties of the multi-layer vehicle interior trim acoustic material. The results presented in this paper, are useful for enhancing vehicle interior acoustic design and refining vehicle cabin sound quality in future vehicles.
2

Roan, Michael, Luke Neurauter, Michael Beard, and Marty Miller. "Electric vehicle warning sounds: On road and immersive audio detection results for 20 subjects." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A121. http://dx.doi.org/10.1121/10.0015747.

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The number of electric vehicles on the road is rapidly increasing. Due to the decreased sound produced by these vehicles at low speeds there is significant concern that pedestrians and bicyclists will be at increased risk of vehicle collisions. Because of this potential for collisions, govenrnemts have institutes regulations governing additive vehicle warning sounds for electric vehicles. This research presents results on the detectability of six electric vehicle acoustic warning sounds using two different hardware systems. Detectability was initially by on-road participant tests and replicated in an immersive reality lab. Results were analyzed through both mean detection distances and probability of detection. This research aims to verify the lab environment as it will allow for a broader range of potential test scenario’s, more repeatable tests, and faster test sessions. Along with pedestrian drive by tests, experiments were conducted to evaluate stationary vehicle acoustics, 10 and 20 km/h drive by acoustics, and interior acoustic impact of each warning sound.
3

Wang, Xiu Feng, and Jie Shi. "Acoustic Parts in Vehicle Sound Transmission Loss Test Method Research." Applied Mechanics and Materials 380-384 (August 2013): 73–76. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.73.

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The sound transmission loss (STL) of the acoustic parts in the vehicle was proposed to be computed using the Sound Pressure Level measured at the several locations inside the vehicle and the transmitted Sound Intensity Level on the vehicles exterior panel, which the acoustic treated vehicle passenger compartment is assumed as a small reverberation room. The necessary parts retrofits and acoustic treatments for Sound transmission loss tests of the acoustic parts in the vehicle were listed. The values of the appropriate number and positions of the loud speakers, microphones and sound intensity probes for Sound transmission loss of the acoustic parts in the vehicle were recommended. The in vehicle sound transmission loss tests of the acoustic parts such as the doors, carpets, wheel house etc. were achieved in the semi-anechoic room. Based on the door system, the correlation work has been done among the methods of the proposed in vehicle STL test, the reverberation - semi-anechoic chamber buck STL test and SEA analysis.
4

Song, Aijun, and Fumin Zhang. "Lake testbed for mobile acoustic communications and networking." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A346. http://dx.doi.org/10.1121/10.0019105.

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We present a lake testbed that can support mobile acoustic communications and networking research. The primary assets of the testbed are two autonomous underwater vehicles equipped with software-defined acoustic modems. The acoustic modems are integrated with the user-installed autonomy software on the vehicle, MOOS-IvP. Through this integration, vehicle information can be passed to the acoustic modem. Or the acoustic modem can receive remote instructions to modify vehicle missions. With additional stationary nodes, the testbed can support two types of acoustic experiments. First, it supports acoustic waveform transmissions from two synchronized mobile nodes. The acoustic transmissions can be recorded in a multi-element receiving array for offline data processing. Second, the testbed can perform real-time acoustic communication and networking tests for different vehicle trajectories. We will present the testbed instrument and capabilities, field deployments, sample acoustic data, and communication test results. [The research is supported by the national science foundation (NSF).]
5

Campbell, Michael T. "Vehicle acoustic barrier." Journal of the Acoustical Society of America 121, no. 1 (2007): 20. http://dx.doi.org/10.1121/1.2434289.

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6

Sai Sandeep.k, Sai Sandeep k., and P. Vijay Kumar. "Acoustic Signal Based Automatic Vehicle Detection System." International Journal of Scientific Research 2, no. 4 (June 1, 2012): 88–89. http://dx.doi.org/10.15373/22778179/apr2013/34.

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7

Singer, Jonah, and Eden Oelze. "In-water and in-air vehicle velocity estimation via harmonic and Doppler analysis." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A136. http://dx.doi.org/10.1121/10.0010902.

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Remotely-controlled (RC) vehicles, such as RC cars, boats, planes, and drones, use high energy-density lithium polymer batteries that enable powerful brushless DC motors to propel them at remarkable velocities. In prior work, measurements of the acoustic emissions from such motors on RC cars have been processed to estimate vehicle velocity, based on a spectral analysis of the emissions, together with a parametric model for the acoustic emissions, relating them to motor speed and vehicle velocity. This work builds on prior models for the acoustic emissions of the DC motors to estimate the motor speeds for in-water and in-air craft, including RC boats and drones. Spectrograms of the acoustic recordings of the vehicles at moving at constant velocity provide sufficient harmonic structure to effectively measure the Doppler shift at closest point of proximity, enabling vehicle velocity estimates. These, in turn, enable calibration of the harmonic structure for motor speed estimation. Preliminary results demonstrate the correlation between the speed profile of the vehicle, acoustic harmonic structure, and Doppler shift.
8

Hsieh, Yi-Hui, Wei-Chong Chang, Pei-Hsiou Ding, and Meng-Yu Tsai. "Using acoustic camera technology on inspection of noisy vehicles in Taiwan." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 4 (November 30, 2023): 4421–29. http://dx.doi.org/10.3397/in_2023_0630.

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In recent years, noise complaints on motor vehicles had shown an increasing trend and became an environmental concern issue in Taiwan. Since 2021, innovative acoustic camera technology used to inspect high-noise vehicles exceeding "Vehicle Noise Control Standard" would be fined. There are 111 sets of acoustic camera equipment using in 21 counties and cities in Taiwan, and local government issued 4,099 fines to violating vehicle owners. This environmental policy has been supported by people living near major road with ninety percent satisfaction. Currently, acoustic camera technology with sound radar adopted by some cities in France to locate noisy vehicles accurately and issue fines automatically. Array sound camera technology has been used to inspect noisy vehicles in Netherlands and Germany. Taiwan is the first country in Asia to use acoustic camera technology conducting inspections and law enforcement against noisy vehicles. The sound camera technology system is mainly composed of high-speed camera equipment, sound level meter and license plate recognition system. Fixed systems are prior to set on specific road in hot spots of public complaint to inspect and outlaw noisy vehicles. After implementation of acoustic camera technology in these years, some challenges need to overcome. First, people doubt with accuracy and fairness of law enforcement equipment. Second, noise judgment of multi-source vehicle with law enforcement. To improve accuracy of law enforcement and multi-sound source vehicle noise judgment, technology of combining sound photography with array microphones is developing in Taiwan. In the future, we plan to conduct research on multi-source vehicle noise judgment technology to improve inspection efficiency and ensure a peaceful environment.
9

NAGAMI, Tadashi, Takayuki MIYAKAWA, and Toshio ENOMOTO. "Acoustic Analysis and Experimental Validation of Acoustic Metamaterial." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 5 (November 30, 2023): 3015–24. http://dx.doi.org/10.3397/in_2023_0436.

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In this study, a unique sound insulation performance of a lightweight acoustic metamaterial consisting of a stiff honeycomb plate coated with a thin rubber membrane was experimentally demonstrated. An acoustic transmission measurement of the acoustic metamaterial showed that the sound insulation performance of the acoustic metamaterial exceeded the mass law predicted performance in three frequency ranges. An analysis of the acoustic-structure interaction revealed that these unique sound insulation phenomena were due to the cancellation between two high-order eigenmodes of the periodic structure or a high-order eigenmode of the periodic structure and an eigenmode of the membrane in each honeycomb cell. Subsequently, a prototype of this acoustic metamaterial was applied to a vehicle and its effectiveness on vehicle interior noise was investigated. The results show that such materials can further improve the level of quietness with weight reduction in vehicles and other transportation applications.
10

Popov, Pavel, Aleksandr Kuznetsov, Aleksandr Igolkin, and Kirill Afanasev. "THE LAUNCH VEHICLE VIBROACOUSTIC LOADS ASSESSMENT USING EXPERIMENTAL DATA AND FINITE ELEMENT MODELING." Akustika 34 (November 1, 2019): 132–35. http://dx.doi.org/10.36336/akustika201934132.

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The acoustic loads arising during the operation of the launch vehicle are sources of in-tense vibration of its components. Basically these loads are caused by such factors as the propulsion system operation during the launch vehicle start and by oscillatory processes in a turbulent boundary layer during the launch vehicle flight. In this regard, industry normative documentation prescribes evaluating dynamic tests of the launch vehicles and autonomous tests of rocket and space equipment.These tests confirm the dynamic strength and performance of launch vehicle components. This paper presents the results of the vibroacoustic loads analysis for the dry compartments of the mid-range launch vehicle currently being designed, depending on their construction, the attachments weight and the external load, which was set both in the form of acoustic load when solving a coherent elastic and acoustic task, and in the form of harmonic pressure, equivalent to acoustic.

Дисертації з теми "Vehicle acoustic":

1

Vejendla, Balaji. "Acoustic source strength determination of turbocharger in an unfavourable acoustic environment." Thesis, KTH, MWL Marcus Wallenberg Laboratoriet, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265645.

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The aim of the M.Sc thesis work is to specify a measurement method suitable for deter-mining the sound power levels and especially to quantifying the levels at the compressor blade pass frequency of a turbocharger in the new turbo performance rig located at Scania CV AB, Södertälje.Intensity and pressure based methods are widely used to determine the sound power levels. The thesis work focuses on pressure based methods since intensity measurements has a limitation in high frequencies and the intensity scanning in the rig is not allowed when the test rig is being operated. Unlike the intensity based methods the major drawback of using the pressure based methods is the influence of test environment on the sound pressure measurements. Since the room is not completely anechoic and reflections from various objects in the room may lead to wrong estimation of sound power levels. In order to understand the influence of test environment at the four chosen microphone positions several measurements were performed both in compliance with international standards and also to test assumptions on the acoustics characteristics of the room.Other than the turbocharger itself the test environment also includes three main auxiliary equipments; a cooling fan, a burner and an oil conditioning system which may contribute to the background noise at the microphone locations. A detailed study has been conducted to understand the influence from these additional sound sources during the measurements. It was concluded that the background sound do not a˙ect the measured results in the frequency range of interest. Measures were taken to isolate radiation from connecting pipes by shielding them with sound absorbing material.Based on the results from the test environment measurements and the background noise analysis the international standard ISO 3744 (Determination of sound power levels in an essentially free field over a reflecting plane) is recommended to determine the sound power levels of the turbocharger.For a constant shaft speed it was found that the highest A-weighted sound power levels were observed when the turbocharger was running close to surge followed by peak eÿciency and choke conditions on the compressor map. There is one limitation associated with the calculated sound power level and that is, the estimated sound power level is uncertain since it is based on only 4 microphone positions and thereby is not capturing the details of the compressor directivity.As future work, a setup with a large number of microphones surrounding the test speci-men is recommended which would help to determine the directivity hence improving the accuracy of the measurements. Also further studies on the sensitivity of the microphone positions, the arrangement of the auxiliary equipment in the room and the influence by the inlet and outlet pipes used in the real installation is recommended.Keywords: Turbocharger, surge, choke, peak eÿciency, compressor map, compressor blade pass frequency, sound power levels.
Syftet med M.Sc-avhandlingen är att specificera en mätmetod som är lämplig för att bestämma ljudeffektnivåerna och särskilt att kvantifiera nivåerna vid kompressorbladets passfrekvens för en turboladdare i den nya turbo-prestandariggen vid Scania CV AB, Södertälje .Intensitets- och tryckbaserade mätmetoder används ofta för att bestämma ljudeffektnivåerna. Avhandlingsarbetet fokuserar på tryckbaserade metoder eftersom intensitetsmät-ningar har en begränsning i höga frekvenser och intensitetsskanningen i riggen inte är tillåten när testriggen används. Till skillnad från de intensitetsbaserade metoderna är den största nackdelen med att använda de tryckbaserade metoderna påverkan från testmiljön på ljudtrycksmätningarna. Detta eftersom rummet inte är ekofritt och reflektioner från olika objekt i rummet kan leda till fel uppskattning av ljudeffektnivåerna. För att förstå testmiljöns inverkan vid de fyra valda mikrofonpositionerna utfördes flera mätningar både i överensstämmelse med internationella standarder och för att testa antaganden om rummets akustikegenskaper. Utöver själva turboladdaren innehåller testmiljön också tre hjälputrustningar; en kylfläkt, en brännare och ett oljekonditioneringssystem som kan bidra till bakgrundsljud i mikrofon-positionerna. En detaljerad studie har genomförts för att förstå påverkan från dessa ytterligare ljudkällor under mätningarna. Det konstaterades att bakgrundsljudet inte påverkar de uppmätta resultaten i frekvensområdet av intresse. Åtgärder vidtogs för att isolera strålning från anslutande rör genom att skydda dem med ljudabsorberande material. Baserat på resultaten från testmiljömätningarna och bakgrundsljudanalysen rekommenderas den internationella standarden ISO 3744 (Bestämning av ljudeffektnivåer i ett väsentligen fritt fält över ett reflekterande plan) för att bestämma ljudeffektnivåerna för turboladdaren. För en konstant axelhastighet konstaterades att de högsta ljudeffektnivåerna observerades när turboladdaren kördes nära pumplinjen, följt av området med högsta verkningsgrad och choke linjen i kompressor-mappen. De beräknade ljudeffektnivåerna har en begränsning eftersom turboladdare direktivitet är okänd på grund av det låga antalet mikrofoner i mikrofonarrangemang runt turboladdaren, men de erhållna resultaten är tillräckligt bra för att göra en jämförelse mellan olika turboladdare förutsatt att de har liknande direktivitet. Som framtida arbete rekommenderas en installation med ett större antal mikrofoner (säg c:a 10 stycken) som omger testobjektet vilket skulle hjälpa till att bestämma direktiviteten och därmed förbättra mätnoggrannheten. Vidare rekommenderas ytterligare studier om mikrofonpositionernas känslighet, arrangemanget av hjälputrustningen i rummet samt påverkan av ljudutstrålning från de anslutande rören mer lika de i den riktiga motorinstallationen.
2

Elwali, Wael. "Vehicle Vibro-Acoustic Response Computation and Control." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1382373197.

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3

Fulton, Thomas F. (Thomas Friedrich) 1970. "Acoustic navigation for the autonomous underwater vehicle REMUS." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/88342.

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4

Gutiérrez, Carlos 1974. "Unidirectional active acoustic control for launch vehicle fairings." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/89259.

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5

Sampan, Somkiat. "Neural Fuzzy Techniques in Vehicle Acoustic Signal Classification." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30612.

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Vehicle acoustic signals have long been considered as unwanted traffic noise. In this research acoustic signals generated by each vehicle will be used to detect its presence and classify its type. Circular arrays of microphones were designed and built to detect desired signals and suppress unwanted ones. Circular arrays with multiple rings have an interesting and important property that is constant sidelobe levels. A modified genetic algorithm that can work directly with real numbers is used in the circular array design. It offers more effective ways to solve numerical problems than a standard genetic algorithm. In classifier design two main paradigms are considered: multilayer perceptrons and adaptive fuzzy logic systems. A multilayer perceptron is a network inspired by biological neural systems. Even though it is far from a biological system, it possesses the capability to solve many interesting problems in variety fields. Fuzzy logic systems, on the other hand, were inspired by human capabilities to deal with fuzzy terms. Its structures and operations are based on fuzzy set theory and its operations. Adaptive fuzzy logic systems are fuzzy logic systems equipped with training algorithms so that its rules can be extracted or modified from available numerical data similar to neural networks. Both fuzzy logic systems and multilayer perceptrons have been proved to be universal function approximators. Since there are approximations in almost every stage, both of these system types are good candidates for classification systems. In classification problems unequal learning of each class is normally encountered. This unequal learning may come from different learning difficulties and/or unequal numbers of training data from each class. The classifier tends to classify better for a well-learned class while doing poorly for other classes. Classification costs that may be different from class to class can be used to train and test a classifier. An error backpropagation algorithm can be modified so that the classification costs along with unequal learning factors can be used to control classifier learning during its training phase.
Ph. D.
6

Cameron, Christopher John. "Design of Multifunctional Body Panels in Automotive Applications : Reducing the Ecological and Economical footprint of the vehicle industry." Licentiate thesis, Stockholm : Skolan för teknikvetenskap, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10661.

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7

Liu, Li. "Ground vehicle acoustic signal processing based on biological hearing models." College Park, Md. : University of Maryland, 1999. http://techreports.isr.umd.edu/reports/1999/MS%5F99-6.pdf.

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Thesis (M.S.) -- University of Maryland, College Park, 1999.
Thesis research directed by Institute for Systems Research. "M.S. 99-6." Includes bibliographical references (leaves 75-78). Available also online as a PDF file via the World Wide Web.
8

Evans, Naoko. "Automated vehicle detection and classification using acoustic and seismic signals." Thesis, University of York, 2010. http://etheses.whiterose.ac.uk/1151/.

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Security threats to important infrastructure cause problems to not only those who live nearby but also in a much wider sense. It is therefore desirable to consider the use of automated systems capable of detection and identification of potential threats. This thesis describes an investigation into acoustic and seismic methods for achieving such a system specifically for commercial road vehicles. Accurate algorithms have been developed for recognition of moving vehicles using fusion of acoustic and seismic signals. It has been found that seismic signals are less susceptible to interfering signals, making them optimal for detection of vehicles. Their much narrower bandwidth also increases processing efficiency and speed. Thus, the algorithm developed utilises firstly only seismic signals to detect vehicle presence, and then employs both acoustic and seismic signals for classifying type of the vehicle. The detection algorithm is purely time domain and uses seismic Log Energy together with a modification of Time Domain Signal Coding. The best detection accuracy obtained was 97.71 % with Support Vector Machine and 99.02 % with Learning Vector Quantisation Neural Networks. The classification algorithm to distinguish between trucks and cars utilises three relatively simple time domain methods: Zero-Crossing Rate, Log Energy and Autocorrelation of seismic signals; combined with LPC coefficients collected from acoustic signals. Classification with either SVM or LVQ reached 93.30 % or 80.80 % respectively. This study therefore has demonstrated it is possible to detect an approaching vehicle and classify its type by using acoustic and seismic signal processing.
9

Opinto, Alessandro <1991&gt. "Active Control of the Acoustic Field in a Vehicle Cabin." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10245/1/PhD_Thesis_AOpinto.pdf.

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In this thesis, a thorough investigation on acoustic noise control systems for realistic automotive scenarios is presented. The thesis is organized in two parts dealing with the main topics treated: Active Noise Control (ANC) systems and Virtual Microphone Technique (VMT), respectively. The technology of ANC allows to increase the driver's/passenger's comfort and safety exploiting the principle of mitigating the disturbing acoustic noise by the superposition of a secondary sound wave of equal amplitude but opposite phase. Performance analyses of both FeedForwrd (FF) and FeedBack (FB) ANC systems, in experimental scenarios, are presented. Since, environmental vibration noises within a car cabin are time-varying, most of the ANC solutions are adaptive. However, in this work, an effective fixed FB ANC system is proposed. Various ANC schemes are considered and compared with each other. In order to find the best possible ANC configuration which optimizes the performance in terms of disturbing noise attenuation, a thorough research of \gls{KPI}, system parameters and experimental setups design, is carried out. In the second part of this thesis, VMT, based on the estimation of specific acoustic channels, is investigated with the aim of generating a quiet acoustic zone around a confined area, e.g., the driver's ears. Performance analysis and comparison of various estimation approaches is presented. Several measurement campaigns were performed in order to acquire a sufficient duration and number of microphone signals in a significant variety of driving scenarios and employed cars. To do this, different experimental setups were designed and their performance compared. Design guidelines are given to obtain good trade-off between accuracy performance and equipment costs. Finally, a preliminary analysis with an innovative approach based on Neural Networks (NNs) to improve the current state of the art in microphone virtualization is proposed.
10

Rallabhandi, Sriram Kishore. "Sonic Boom Minimization through Vehicle Shape Optimization and Probabilistic Acoustic Propagation." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6937.

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Sonic boom annoyance is an important technical showstopper for commercial supersonic aircraft operations. It has been proposed that aircraft can be shaped to alleviate sonic boom. Choosing the right aircraft shape reflecting the design requirements is a fundamental and most important step that is usually over simplified in the conceptual stages of design by resorting to a qualitative selection of a baseline configuration based on historical designs and designers perspective. Final aircraft designs are attempted by minor shape modifications to this baseline configuration. This procedure may not yield large improvements in the objectives, especially when the baseline is chosen without a rigorous analysis procedure. Traditional analyses and implementations tend to have a complex algorithmic flow, tight coupling between tools used and computational limitations. Some of these shortcomings are overcome in this study and a diverse mix of tools is seamlessly integrated to provide a simple, yet powerful and automatic procedure for sonic boom minimization. A shape optimization procedure for supersonic aircraft design using better geometry generation and improved analysis tools has been successfully demonstrated. The geometry engine provides dynamic reconfiguration and efficient manipulation of various components to yield unstructured watertight geometries. The architecture supports an assimilation of different components and allows configuration changes to be made quickly and efficiently because changes are localized to each component. It also enables an automatic way to combine linear and non-linear analyses tools. It has been shown in this study that varying atmospheric conditions could have a huge impact on the sonic boom annoyance metrics and a quick way of obtaining probability estimates of relevant metrics was demonstrated. The well-accepted theoretical sonic boom minimization equations are generalized to a new form and the relevant equations are derived to yield increased flexibility in aircraft design process. Optimum aircraft shapes are obtained in the conceptual design stages weighing in various conflicting objectives. The unique shape optimization procedure in conjunction with parallel genetic algorithms improves the computational time of the analysis and allows quick exploration of the vast design space. The salient features of the final designs are explained. Future research recommendations are made.

Книги з теми "Vehicle acoustic":

1

Shippen, J. M. An investigation into a monocoque vehicle bodyshell acoustic behaviour using conceptual level information. Birmingham: University of Birmingham, 1988.

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2

M, McNelis Anne, and United States. National Aeronautics and Space Administration., eds. Acoustic testing of the Cassini spacecraft and Titan IV payload fairing. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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3

Center, Langley Research, ed. Development of metallic thermal protection systems for the reusable launch vehicle. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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4

Raimond, Alfier, ed. Ground vibration and acoustic waves produced by land vehicles of the Warsaw Treaty Organization: Results of the 1989 measurements at Doksy, CSFR. Bochum: Universitätsverlag Dr. N. Brockmeyer, 1990.

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5

Neta, Beny. Benefit of sound cueing in combat simulation. Monterey, Calif: Naval Postgraduate School, 1993.

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6

Nguyen-Schäfer, Hung. Aero and Vibroacoustics of Automotive Turbochargers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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7

L, Wood-Putnam Jody, and Society of Photo-optical Instrumentation Engineers., eds. Information systems for divers and autonomous underwater vehicles operating in very shallow water and surf zone regions II: 27 April 2000, Orlando, USA. Bellingham, Wash., USA: SPIE, 2000.

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8

R, Moes Timothy, Dryden Flight Research Facility, and AIAA Aerospace Sciences Meeting (29th : 1991 : Reno, Nevada), eds. The effects of pressure sensor acoustics on airdata derived from a high-angle-of-attack flush airdata sensing (HI-FADS) system. Edwards, Calif: NASA Ames Resarch Center, Dryden Flight Research Facility, 1991.

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Acoustic Underwater Navigation of the Phoenix Autonomous Underwater Vehicle Using The Divetracker System. Storming Media, 1996.

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Acoustic Based Tactical Control of Underwater Vehicles. Storming Media, 2003.

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Частини книг з теми "Vehicle acoustic":

1

Freymann, R. "Acoustic Applications in Vehicle Engineering." In Fluid-Structure Interactions in Acoustics, 261–304. Vienna: Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-2482-6_7.

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Wang, Yansong, Hui Guo, and Chao Yang. "Active Vibro-Acoustic Control of Sound Quality." In Vehicle Interior Sound Quality, 185–231. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5579-2_7.

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Beitelschmidt, Michael, Volker Quarz, and Dieter Stüwing. "Acoustic Optimization of Wheel Sets." In Non-smooth Problems in Vehicle Systems Dynamics, 67–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01356-0_6.

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Sivaraj, D., Shivam Dutta, S. Hemanth Kumar, and D. Venkata Sai Jogarao. "Design of Adaptive Artificial Vehicle Acoustic System (AVAS) for an Electric Vehicle." In Lecture Notes in Electrical Engineering, 559–67. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0588-9_55.

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Lu, Weijun, T. Vietor, R. Blumrich, and J. Wiedemann. "Innovative electric vehicle concepts with optimized acoustic performance." In Proceedings, 1305–20. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21194-3_103.

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Pascoal, A., M. João Rendas, V. Barroso, C. Silvestre, P. Oliveira, and Isabel Lourtie. "Simulation Study of an Integrated Guidance System for an Autonomous Underwater Vehicle." In Acoustic Signal Processing for Ocean Exploration, 587–92. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1604-6_54.

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Sunu, Justin, Allon G. Percus, and Blake Hunter. "Unsupervised Vehicle Recognition Using Incremental Reseeding of Acoustic Signatures." In Lecture Notes in Computer Science, 151–60. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01851-1_15.

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Lange, Christian. "The Porsche Taycan Acoustic Properties of An Electric Vehicle." In Proceedings, 1–10. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-41475-7_1.

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9

Akbacak, Murat, and John H. L. Hansen. "Advances in Acoustic Noise Tracking for Robust In-Vehicle Speech Systems." In Advances for In-Vehicle and Mobile Systems, 109–21. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-45976-9_10.

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Ortega, Alfonso, Eduardo Lleida, Enrique Masgrau, Luis Buera, and Antonio Miguel. "Acoustic Echo Reduction in a Two-Channel Speech Reinforcement System for Vehicles." In Advances for In-Vehicle and Mobile Systems, 177–88. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-45976-9_15.

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Тези доповідей конференцій з теми "Vehicle acoustic":

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Lilley, Kurt M., and Phil E. Weber. "Vehicle Acoustic Solutions." In SAE 2003 Noise & Vibration Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. http://dx.doi.org/10.4271/2003-01-1583.

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Fagerlönn, Johan, Anna Sirkka, Stefan Lindberg, and Roger Johnsson. "Acoustic Vehicle Alerting Systems." In AM'18: Sound in Immersion and Emotion. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3243274.3243305.

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Cleaver, Ryan, Richard Lawrence Brouckaert, and Andrew Skestone. "Automotive OEM Barrier Acoustical Performance – The Ideal Application for Carbon Neutral Materials." In Noise and Vibration Conference & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1049.

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<div class="section abstract"><div class="htmlview paragraph">The automotive acoustics arena is rich with application opportunities for carbon neutral or climate positive parts. The design of potential “green” NVH solutions however cannot compromise the intended acoustical performance of the vehicles. This paper investigates the acoustical needs of OEM vehicles with an emphasis to apply green solutions. The acoustic solutions proposal in this paper compares and contrasts barrier densities, sealing characteristics between traditional and carbon neutral acoustical barriers. It also compares important material properties. Furthermore, these comparisons demonstrate that vehicular acoustic performance need not be compromised as the industry moves towards more climate friendly initiatives. Lastly, the paper identifies an ideal application for planet friendly, carbon neutral NVH solutions. This is accomplished by using acoustical barrier applications that are production ready and commercially available today. None of these carbon neutral NVH solutions alter the anticipated acoustical performance of the target vehicle in a negative manner.</div></div>
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Uttarakumari, M., Anirudh S. Koushik, Anirudh S. Raghavendra, Akshay R. Adiga, and P. Harshita. "Vehicle detection using acoustic signatures." In 2017 International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2017. http://dx.doi.org/10.1109/ccaa.2017.8229975.

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Mgaya, Richard, Saleh Zein-Sabatto, Amir Shirkhodaie, and Wei Chen. "Vehicle identifications using acoustic sensing." In Proceedings 2007 IEEE SoutheastCon. IEEE, 2007. http://dx.doi.org/10.1109/secon.2007.342963.

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6

Nagy, L. I., M. Dede, G. C. Campbell, and S. G. Borders. "Acoustic Analysis of a Light Truck Cab." In International Conference on Vehicle Structural Mechanics. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1988. http://dx.doi.org/10.4271/880911.

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Hipp-Kalthoff, C., A. Eilemann, and J. Kilian. "Acoustic Optimization of HVAC Systems." In 1995 Vehicle Thermal Management Systems Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/971812.

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Eilker, Rudolf, Norbert Herzum, Wolfgang Keiner, and Albert Ulrich. "New Acoustic Test Facilities of BMW." In SAE Surface Vehicle Noise and Vibration Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1985. http://dx.doi.org/10.4271/850992.

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Moondra, Manmohan S., and Sean F. Wu. "Visualization of Sound Transmission Into a Vehicle Passenger Compartment." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/nca-23540.

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Abstract The paper examines the effectiveness of the Helmholtz equation least-squares (HELS) method (Wu and Yu, J. Acoust. Soc. Am., Vol. 104, 2054–2060, 1998; Wu, J. Acoust. Soc. Am., Vol. 107, 2511–2522, 2000) in visualizing the areas that are prone to noise transmission into a full-size vehicle passenger compartment due to exterior excitations such as the engine and turbulent flow. To simulate sound transmission, harmonic excitations are assumed to act on arbitrarily selected vehicle interior surfaces. The surface acoustic pressures are calculated using the boundary element method (BEM) based Helmholtz integral equation. A fine mesh for the interior cavity is generated so as to yield as accurate as possible the acoustic pressure distributions as benchmark using the BEM codes. The radiated acoustic pressures inside the vehicle compartment are calculated and taken as the input to the HELS formulation. Once the HELS formulation is established, the acoustic pressure anywhere including the vehicle interior surface is reconstructed. The normal component of the surface velocity can be reconstructed in a similar manner. Consequently, the normal component of the time-averaged acoustic intensity and acoustic energy flow inside a vehicle passenger compartment can be visualized. This three-dimensional acoustic image can provide valuable insight into vehicle interior noise reduction. The reconstructed acoustic pressures are compared with the benchmark values evaluated at the same locations. The effect of the measurement locations on the accuracy of reconstruction is investigated.
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MADEJ, W. "Measurements of Vehicle Azimuth Using Acoustic Signals." In Quality Production Improvement and System Safety. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902691-46.

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Abstract. The location of objects based on the analysis of acoustic signals is widely used in various civil and military systems. Applications that allow the users to determine the location of the sound source are used, for example, in conference rooms for automatic speaker location, enabling unattended camera control, detecting and tracking the movement of objects in area surveillance systems, etc. The paper presents a system for determining the azimuth of a moving motor vehicle developed at the Military Institute of Engineer Technology in cooperation with the Wroclaw University of Technology. The system is designed for the detection, identification and location of armored vehicles and trucks. The use of acoustic signal analysis methods to locate objects allowed for the construction of passive systems that are difficult to detect. This property is particularly important in area surveillance systems and military equipment designs.

Звіти організацій з теми "Vehicle acoustic":

1

Cernosek, R. W., J. H. Small, P. S. Sawyer, J. R. Bigbie, and M. T. Anderson. Vehicle exhaust gas chemical sensors using acoustic wave resonators. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/653969.

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Tuchiya, Masaki, Tsuyoshi Yamashita, Niels V. B\atgholm, Toshikazu Satoh, and Masateru Kimura. Aero-Acoustic Noise Measurement of Vehicle Using Surface Microphone in Wind Tunnel. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0170.

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Quinn, Meghan. Geotechnical effects on fiber optic distributed acoustic sensing performance. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41325.

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Distributed Acoustic Sensing (DAS) is a fiber optic sensing system that is used for vibration monitoring. At a minimum, DAS is composed of a fiber optic cable and an optic analyzer called an interrogator. The oil and gas industry has used DAS for over a decade to monitor infrastructure such as pipelines for leaks, and in recent years changes in DAS performance over time have been observed for DAS arrays that are buried in the ground. This dissertation investigates the effect that soil type, soil temperature, soil moisture, time in-situ, and vehicle loading have on DAS performance for fiber optic cables buried in soil. This was accomplished through a field testing program involving two newly installed DAS arrays. For the first installation, a new portion of DAS array was added to an existing DAS array installed a decade prior. The new portion of the DAS array was installed in four different soil types: native fill, sand, gravel, and an excavatable flowable fill. Soil moisture and temperature sensors were buried adjacent to the fiber optic cable to monitor seasonal environmental changes over time. Periodic impact testing was performed at set locations along the DAS array for over one year. A second, temporary DAS array was installed to test the effect of vehicle loading on DAS performance. Signal to Noise Ratio (SNR) of the DAS response was used for all the tests to evaluate the system performance. The results of the impact testing program indicated that the portions of the array in gravel performed more consistently over time. Changes in soil moisture or soil temperature did not appear to affect DAS performance. The results also indicated that time DAS performance does change somewhat over time. Performance variance increased in new portions of array in all material types through time. The SNR in portions of the DAS array in native silty sand material dropped slightly, while the SNR in portions of the array in sand fill and flowable fill material decreased significantly over time. This significant change in performance occurred while testing halted from March 2020 to August 2020 due to the Covid-19 pandemic. These significant changes in performance were observed in the new portion of test bed, while the performance of the prior installation remained consistent. It may be that, after some time in-situ, SNR in a DAS array will reach a steady state. Though it is unfortunate that testing was on pause while changes in DAS performance developed, the observed changes emphasize the potential of DAS to be used for infrastructure change-detection monitoring. In the temporary test bed, increasing vehicle loads were observed to increase DAS performance, although there was considerable variability in the measured SNR. The significant variation in DAS response is likely due to various industrial activities on-site and some disturbance to the array while on-boarding and off-boarding vehicles. The results of this experiment indicated that the presence of load on less than 10% of an array channel length may improve DAS performance. Overall, this dissertation provides guidance that can help inform the civil engineering community with respect to installation design recommendations related to DAS used for infrastructure monitoring.
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Hong, S. B., N. Vlahopoulos, R. Mantey, and D. Gorsich. A Computational Approach for Evaluating the Probability of Acoustic Detection of a Military Vehicle. Fort Belvoir, VA: Defense Technical Information Center, February 2004. http://dx.doi.org/10.21236/ada637003.

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Kilfoyle, Daniel B., and Lee Freitag. Application of Spatial Modulation to the Underwater Acoustic Communication Component of Autonomous Underwater Vehicle Networks. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada437524.

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Kilfoyle, Daniel B. Application of Spatial Modulation to the Underwater Acoustic Communication Component of Autonomous Underwater Vehicle Networks. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada633556.

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Job, Jacob. Mesa Verde National Park: Acoustic monitoring report. National Park Service, July 2021. http://dx.doi.org/10.36967/nrr-2286703.

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In 2015, the Natural Sounds and Night Skies Division (NSNSD) received a request to collect baseline acoustical data at Mesa Verde National Park (MEVE). Between July and August 2015, as well as February and March 2016, three acoustical monitoring systems were deployed throughout the park, however one site (MEVE002) stopped recording after a couple days during the summer due to wildlife interference. The goal of the study was to establish a baseline soundscape inventory of backcountry and frontcountry sites within the park. This inventory will be used to establish indicators and thresholds of soundscape quality that will support the park and NSNSD in developing a comprehensive approach to protecting the acoustic environment through soundscape management planning. Additionally, results of this study will help the park identify major sources of noise within the park, as well as provide a baseline understanding of the acoustical environment as a whole for use in potential future comparative studies. In this deployment, sound pressure level (SPL) was measured continuously every second by a calibrated sound level meter. Other equipment included an anemometer to collect wind speed and a digital audio recorder collecting continuous recordings to document sound sources. In this document, “sound pressure level” refers to broadband (12.5 Hz–20 kHz), A-weighted, 1-second time averaged sound level (LAeq, 1s), and hereafter referred to as “sound level.” Sound levels are measured on a logarithmic scale relative to the reference sound pressure for atmospheric sources, 20 μPa. The logarithmic scale is a useful way to express the wide range of sound pressures perceived by the human ear. Sound levels are reported in decibels (dB). A-weighting is applied to sound levels in order to account for the response of the human ear (Harris, 1998). To approximate human hearing sensitivity, A-weighting discounts sounds below 1 kHz and above 6 kHz. Trained technicians calculated time audible metrics after monitoring was complete. See Methods section for protocol details, equipment specifications, and metric calculations. Median existing (LA50) and natural ambient (LAnat) metrics are also reported for daytime (7:00–19:00) and nighttime (19:00–7:00). Prominent noise sources at the two backcountry sites (MEVE001 and MEVE002) included vehicles and aircraft, while building and vehicle predominated at the frontcountry site (MEVE003). Table 1 displays time audible values for each of these noise sources during the monitoring period, as well as ambient sound levels. In determining the current conditions of an acoustical environment, it is informative to examine how often sound levels exceed certain values. Table 2 reports the percent of time that measured levels at the three monitoring locations were above four key values.
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Barnes, B. L41025A PRCI Research Results on In-Line Inspection Technology Field Tests - Expanded. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1988. http://dx.doi.org/10.55274/r0011372.

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This report will briefly describe the performance of eddy current and magnetic flux leakage systems and the difficulties that have been recognized as impediments for stress corrosion crack detection on ILI vehicles. In addition, two promising systems, based on electromagnetic acoustic transducers (EMAT's) and piezoelectrics (elastic waves), have emerged from the PRCI research efforts. Results of field testing in Casa Grande, Arizona on an El Paso Natural Gas abandoned pipeline using these systems will be summarized and will show the state of development of both EMAT's and piezoelectrics (elastic waves) in detecting SCC in pipelines when integrated with an ILI inspection vehicle. Expanded from the public version to include additional data and details.
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Meyer, Erik. Craters of the Moon National Monument and Preserve: Acoustic monitoring report, 2017. National Park Service, 2024. http://dx.doi.org/10.36967/2303262.

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This study arose from the Craters of the Moon National Monument and Preserve (CRMO) Resource Stewardship Strategy (RSS), which identified the need for baseline acoustic surveys in the park. Short-term natural soundscape RSS goals were to identify the condition of the acoustic resource, and the high priority stewardship activity associated with this goal was to collect baseline acoustic data. Therefore, from June?September 2017, the Natural Sounds and Night Skies Division (NSNSD) gathered acoustical data at six sites in CRMO to provide park managers with information about the acoustical environment, sources of noise, and the natural and existing ambient sound levels within the park. On average, noise was present from 7 to 85 percent of the time across the six sites. The most common sources of noise were vehicles, aircraft, and people. The maximum percent time audible for any detailed noise source was people at site CRMO004, audible for 81% of a 24-hr period. Aircraft was most audible at site CRMO005 (15%), and vehicles were most audible at site CRMO001 (20%). Overall, existing median ambient sound levels (LA50) at sites within CRMO ranged from 17.8?31.1 dB during the day and 15.6?34.0 dB at night during the sampling period. Natural ambient sound levels (LAnat) at sites within CRMO ranged from 16.4?30.0 dB during the day and 15.1?33.0 dB at night. The median impact, defined as the difference in dB between the LA50 and LAnat, was 1.4 dB. Noise impacts ranged from 1.1 dB at CRMO006 to 8.3 dB at CRMO004, where noise was audible for 100% of the time from 07:00 to 10:00.
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Pham, Tien, and Leng Sim. Acoustic Data Collection of Tactical Unmanned Air Vehicles (TUAVs). Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada410088.

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