New data to the Nordic prediction model for train noise



Similar documents
Bergen, Norway BNAM May Modern passenger trains in Norway - are they as quiet as we think?

Difference in levels of groundborne noise and vibrations between the T-1300 and MX-3000 metro trains in Oslo

BNAM 2008 BERGEN BYBANE NOISE REDUCTION BY TRACK DESIGN. Reykjavik, august Arild Brekke, Brekke & Strand akustikk as, Norway

Dynamic sound source for simulating the Lombard effect in room acoustic modeling software

Rail Roughness Monitoring in the Netherlands

Conversion of existing road source data to use CNOSSOS-EU

TITLE Quiet City Transport Subproject 5 Noise propagation & receiver perception Work Package

Airborne Sound Insulation

Exhaust noise control case study for 2800 class locomotive

Schindler 3300 / Schindler 5300 Information on noise and vibration.

Functional noise specifications for purchasing green low noise vehicles

As a minimum, the report must include the following sections in the given sequence:

A COMPACT MODEL FOR PREDICTING ROAD TRAFFIC NOISE

How Noise is Generated by Wind Turbines The mechanisms of noise generation. Malcolm Hayes Hayes McKenzie Partnership Ltd Machynlleth & Salisbury

Patrick Vanhonacker André Marqueteeken

Active noise control in practice: transformer station

Noise from large wind turbines (with focus on low frequencies)

LJUD I BYGGNAD OCH SAMHÄLLE

Nordic Rail 6 oktober 2011

Trans Bay Cable Project (400 MW) Preliminary Audible Noise Study

The Norwegian high speed rail study

Acoustic Terms, Definitions and General Information

Improvements in noise mitigation of a postal delivery service: a comparison among hybrid, electric and conventional vehicles

Sound Power measurements according to IEC

High speed trains through a station hall => An acoustical challenge. (. Or «The Tunnel of Doom», as Jan Olav likes to call it.!

Sound Power Measurement

Simulation of modified timetables for high speed trains Stockholm Göteborg

VIPAC ENGINEERS & SCIENTISTS

Noise Design Advice. Noise can be a major factor to consider in any new development.

FÉDÉRATION EUROPÉENNE DE LA MANUTENTION Section Industrial Trucks. Information of the application of the EC Regulation on the noise of forklifts

High speed train vehicle dynamics. challenges and opportunities

KRUGER ENERGY CHATHAM WIND PROJECT ENVIRONMENTAL SCREENING REPORT / ENVIRONMENTAL IMPACT STATEMENT. Appendix E. Environmental Noise Impact Assessment

Alignment design for Citybanan in Stockholm

Noise. CIH Review PDC March 2012

Direct and Reflected: Understanding the Truth with Y-S 3

Characterization of acoustics in open offices - four case studies

MEASURES OF VARIATION

Sound Power Level determination of AEG KM880 electrically operated food preparation appliance

Mastering very high speed

Charlton Christian College, Fassifern Master Plan Acoustic Assessment for the Proposed Facilities Upgrade

Relationship between Sound Pressure and Sound Power Levels

LABORATORY MEASUREMENTS ON THE EFFICIENCY OF SOUND REDUCING FURNITURE PADS OF TYPE SILENT SOCKS

HEADQUARTERS: DK-2850

Noise impact assessment of mass rapid transit systems in Delhi city

Minimizing noise levels so future engineers can focus Classroom Acoustic Technical Reference Guide

The Regulation is established pursuant to 3 (4) and 6 (6) of the Occupational Health and Safety Act. Chapter 1 GENERAL PROVISIONS

Guideline for Design of Vehicles Generating Reduced Ground Vibration. Deliverable D5.5

Engineering Method of Sound Power Determination for Marine Engines

How To Reduce Noise From A Test Screen

ACOUSTICAL CONSIDERATIONS FOR EFFECTIVE EMERGENCY ALARM SYSTEMS IN AN INDUSTRIAL SETTING

ACCELERATION CHARACTERISTICS OF VEHICLES IN RURAL PENNSYLVANIA

BV has developed as well as initiated development of several simulation models. The models communicate with the Track Information System, BIS.

Hybrid shunter locomotive

Noise performance of the SRTT tyre compared to normal passenger car tyres

Comparison of predicted and measured wind farm noise levels and implications for assessments of new wind farms

Sound absorption and acoustic surface impedance

Gröna Tåget Technologies

Acoustics of indoor sports halls and gymnasia

Assessment of low-frequency noise due to windturbines in relation to low-frequency background

Table of contents. Screen walls. Glass walls. Counters A t t r a k t i v a r. l ö s n i n g a. Other products. Noise. Environment Ljud.

ASTM E 90: Laboratory Measurement of Airborne Sound Transmission of Building Partitions and Elements

The APT-WORM (Wheel flat and Out of Roundness Monitoring) system

Retrofit structural insulated panels (SIPs) increase sound transmission loss of existing single family houses impacted by highway noise

Sound Pressure Measurement

Fundamentals of Acoustics & Practical HVAC Design Considerations. Demir Doken Acoustic Engineer

Dynamiske støykart tilgang til real-time støyinformasjon fra trådløse sensorer

New Jersey Micro-Surface Pavement Noise Evaluation Submitted on: August 29, 2014

Interference to Hearing Aids by Digital Mobile Telephones Operating in the 1800 MHz Band.

Western University. Hearing Protection Program. Prepared by: Occupational Health and Safety

E R0 ACOUSTICAL PERFORMANCE TEST REPORT ASTM E90. Rendered to: TREX COMPANY, LLC. Series/Model: Trex Seclusion

Façade acoustic design strategy Proposed residential development Irvin Avenue, Saltburn

General Thoughts on Generator Set - Acoustic Solutions & Noise Control

Sound Attenuation INTRODUCTION

NOISE EVALUATION IN A RACE-TRACK: MEASUREMENTS, SOFTWARE ANALYSES AND NEED OF CONTINUOUS MONITORING. COMPARISON AMONG THE RESULTS.

Acoustic design with wall acoustic solutions

Automatic Wheel Profile Measuring Device for Tramway Vehicles

Measuring Sound Insulation using Deconvolution Techniques

GUIDELINE ON BOUNDARY NOISE LIMIT FOR AIR CONDITIONING AND MECHANICAL VENTILATION SYSTEMS IN NON-INDUSTRIAL BUILDINGS

MICROPHONE SPECIFICATIONS EXPLAINED

Noise attenuation directly under the flight path in varying atmospheric conditions

Recent Advances in Moving-Source Beamforming

Evaluating Field Measurements of Impact Sound. Klas G. Hagberg. Reprinted from JOURNAL OF BUILDING ACOUSTICS. Volume 17 Number

COMPATIBILITY AND SHARING ANALYSIS BETWEEN DVB T AND RADIO MICROPHONES IN BANDS IV AND V

Bandwidth-dependent transformation of noise data from frequency into time domain and vice versa

The Effects of Ultrasonic Sound Generated by Ultrasonic Cleaning Systems on Human Hearing and Physiology

Seminarium om tystare busstrafik

What you measure is what you get? a novel approach for specifying and controlling acoustic quality of road surfaces

User s Guide Nord2000 Road

Building Design for Advanced Technology Instruments Sensitive to Acoustical Noise

The BOMBARDIER* REGINA*

Noise. Patrick N. Breysse, PhD, CIH Peter S.J. Lees, PhD, CIH. Johns Hopkins University

Absorption mufflers in exhaust systems. Rolf Jebasinski. J. Eberspächer GmbH & Co. Abstract

Acoustic design according to room shape

Manual Analysis Software AFD 1201

Lightweight Partition Design for Residential and Commercial Buildings

HP switch LP switch Discharge thermo Comp. Surface thermo

Mark Bliss, BKL Consultants Ltd. # Lynn Valley Road, North Vancouver, BC, V7J 2A2 Canada

PVC Sound Barrier Wall Systems Lightweight and easy-to-install Lower installed costs

Development of mild hybrid system for diesel railcar

INTER-NOISE DECEMBER 2006 HONOLULU, HAWAII, USA

Transcription:

New data to the Nordic prediction model for train noise Tomas Jerson (f.d. Ström) WSP Akustik - Göteborg Sverige tomas.jerson@wspgroup.se ABSTRACT The analysis of new trains indicates relatively low noise emission levels. Surprisingly, the Y31 Itino diesel electric trains is the most silent among the tested train types. The X50/51 Regina trains and X31/32 trains is noisier and there is only a small noise difference between those train types. One explanation for the differences between the trains can be that the Y31 train is brand new and the other trains are the older and have been in intensive traffic for some year which probably has caused some damage on the wheels. 1. INTRODUCTION During the last years new types of trains have started to operate on the Swedish railways, and since some basis are missing in the Nordic prediction model, the trains noise emission is non predictable. The author was, in the former decade, employed at Swedish National Testing and Research Institute and at that time engaged in several train noise projects (ref 1, 2, 3, 4), which results served as basis for an earlier revision of the Nordic prediction model. WSP Acoustic has from Banverket (BV, the authority responsible for rail traffic in Sweden) received a research fee to carry out a project aiming to measure noise emission from new train types. The analyzed data will bee implemented in the prediction model. The new types of train which have been studied in this project is X31-32 Contessa, X50-54 Regina and Y31-32 Itino. Contessa and Regina are electrical trains and Itino is a diesel electric train. The project has been carried out on rail sections also operated by ordinary rail vehicles and therefore a lot of measurement results from older train vehicles are included. The noise emission from these train passages will be compared with results from the prediction model in a separate report to improve the knowledge concerning the model conformity with present train status. 2. METHOD The measurements were carried out according to ISO 3095. The measurement series were finished in December 2003. With the exception of fulfilling the acoustic requirements the measurement places were selected by considering the pass bye speed. The aim was to include a speed area as large as possible for different measurements. All the measurements were carried out at 10 m distance from the nearest center of track with the microphone at 1.5 m height above the railhead level. In several cases the measurements also have been carried out at 25 m distance from the nearest center of track with the microphone at 3.5 m height above the railhead level. At every individual passage the L AeqT, L AFmax and the frequency spectrum in third octave bands from 25 10000 Hz were stored. The train speed, train length and striking noise i.e. from uneven wheels, were also noticed. 3. RESULT Noise emission from totally 81 passages at 15 different sections was evaluated according to the Nordic Prediction Model. In order to make it possible to implement the results in the prediction model, the noise measurements and train data have been normalized to train length, measurement distance, measurement height, train speed and the ground damping.. The results for the new train types are divided in speed intervals. The logarithmic mean values for train passages have been calculated in each speed interval. 3.1 Electric train X31 / 32 Contessa In each case the measurements are carried out on units comprising three railcars. Diagram 1 shows the result as an A-weighted SEL-level (logaritmic mean in 20 km/h interval) for passages with 47 X31-32 trains in different speed. Diagram 1 shows that the Sound Exposure Level from train pass by in every speed interval differ from the regression line. These differences are probably caused by several reasons. It s well known that wear on wheels and rail has a big impact on the variations in noise emission. It has not been possible to receive a large number of passages at many sites. The noise level from separate trains and sites hackneyed to various extents therefore has

big impact on regression line when the numbers of measurements are few. In low speeds constant noise from sources on the trains as fans, motors, gearboxes etc. can also be important factors for the total noise emission. 115 A-Weigthed Sound Exposure Level (db) 110 105 100 95 90 85 y = 0.1051x + 82.281 R 2 = 0.8446 80 75 25 45 65 85 105 125 145 165 185 205 Diagram 1. Correlation between A-Weighted Sound Exposure Level and speed for X31/32 trains Diagram 2 shows octave band levels for X31/32 trains in different speed areas. 110,0 105,0 100,0 SEL (db) 95,0 90,0 85,0 80,0 75,0 45 km/h 65 km/h 85 km/h 105 km/h 125 km/h 145 km/h 165 km/h 185 km/h 70,0 65,0 Oktavbandsfrekvens (Hz) Diagram 2. Logarithmic mean of Sound Exposure Level in octave band for X31/32 trains in speed interval 45 185 km/h normalized to 10 m distance from the track middle 3:2 Electric train X50 54 Regina Measurements have in the most cases been carried out on trains with 3 (rail cars) vehicles but in some few cases also on trains with 2 (rail cars) vehicles. Diagram 3 shows the result as an A-weighted Sound Exposure Level for pas byes with X50-51 trains in different speeds. The total number of X50 51 train passages are limited to 22. In the diagram 3 one can se that the Sound Exposure Level from train passages in respektive speed interval differ from the regression line. The deviation might have many explanations. It s well known that damaged wheels and rails have influence on the noise emission level. At many sites it have not been possible to measure a great number of passages in a large number

of speed intervals. The noise level from each trains and sites hackneyed to various extent has therefore big impact on the statistic significance when then number of measurements is limited. 110.0 A-weighted Sound Exposure Level (db) y = 0.1018x + 82.654 R 2 = 0.8989 50 60 70 80 90 100 110 120 130 140 150 160 170 Diagram 3. Connection between A-weighted Sound Exposure Level and speed for X50-51 trains Diagram 4 shows octave band levels for X50/51 trains in different speed areas. 105,0 100,0 95,0 SEL (db) 90,0 85,0 80,0 70 km/h 90 km/h 100 km/h 120 km/h 130 km/h 140 km/h 150 km/h 75,0 70,0 65,0 Oktavbandsfrekvens (Hz) Diagram 4. Logarithmic mean of Sound Exposure Level in octave band for X50/51 trains in speed interval from 70 150 km/h normalized to 10 m distance from the track middle In the frequency spectrum from the train passage one can se that the highest Sound Exposure Level occurs in the 1000 Hz octave band and that the level will increase as the speed is raised. 3:3 Diesel train Y31/ 32 Itino The Y31/32 Itino is a modern diesel electrical train and it has in 2003 gradually been taken in regular traffic at many non-electrified distances. In diagram 5 results are presented as A-weighted Sound Exposure Level (logarithmic mean in 10 km/h intervals) with Y31 train passages in different speeds.

The total number of measured passages with Y31 trains is 12 st and they are carried out at 2 places. The good curve fit in the regression analysis might be explained by the fact that there are only 2 trains (brand new and therefore unworned wheels) that have passed the measurement site at all occasions. The deviations that still occur can eventually depend on differences in driving (non ore a little throttle on the diesel engines at the pass byes). A-Weighted Sound Exposure Level (db) y = 0.0896x + 81.583 R 2 = 0.9132 40 50 60 70 80 90 100 110 120 130 140 150 Diagram 5. Correlation between A-weighted Sound Exposure Level and speed for Y31-32 diesel electric train Diagram 6 shows the frequency spectrum for Y31 diesel train in different speed. Sound Exposure Level (db) 60 km/h 70 km/h 90 km/h 110 km/h 120 km/h 130 km/h 70.0 65.0 Octavband frequency (Hz) Diagram 6. Logarithmic mean for Sound Exposure Level in octave bands for X31trains in different speed intervals 60 130 km/h normalized to 10 m distance from track middle In the frequency spectrum one can se that the highest Sound Exposure Level occurs in the 125 Hz octave band. The high level in this low frequency region is probably caused by the two big diesel engines that operate the electric generators, which produce electricity for the electric engines in the bogies used for the traction.

4. CONCLUSION The analysis of new trains indicates relatively low noise emission levels. This is rather natural since the acoustic properties have become an important part, to reduce new rail vehicles influence on the surroundings. Surprisingly, the Y31 Itino diesel train is the most silent of the tested train types. The noise levels from X51 Regina and X31/32 Contessa are quite similar. One of the explanations for the differences between the train types can be that the Y31 are newer than the other two types of train vehicles. 4. REFERENCES 1. Nordiska Ministerrådet Railway Trafic Noise Nordic Prediction Method indata till nordiska beräkningsmodellen Tema Nord 1996:524 2. Clara Göransson, Tomas Ström Externt buller från svenska tågtyper Nya indata till nordiska beräkningsmodellen SP Rapport 1994:25. 3. Tomas Ström Buller från persontåg i låga hastigheter SP Rapport 1993:37 4. Tomas Ström Buller från persontåg i höga hastigheter SP Rapport 1992:01 5. Tomas Ström Buller från snabbtåg Resultat från fälmätningar utförda på västra stambanan SP Rapport 1991:43