ISAV K. N. Toosi University of Technology

7th International Conference on Acoustics and Vibration

 General Information
 Conference Topics
 Call For Papers
 Paper Submission
 KeyNote Speakers  NEW
 Registration  NEW
 Summary of ISAV2017 Program  NEW
 Conference Program Booklet  NEW
 Workshops  NEW
 Exhibit  NEW
 Best Student thesis  NEW
 Distinguished Engineer  NEW
 Student Competition  NEW
 Journal of TAVA
 Welcome to Tehran
 Contact Information
  KeyNote Speakers
Dr Hamed Haddad Khodaparast ,
College of Engineering at Swansea University

Dr Hamed Haddad Khodaparast is currently a Senior Lecturer (Assistant Professor) in the College of Engineering at Swansea University. He obtained his PhD degree from University of Liverpool in 2010. Between 2007 and 2010 he was a fellow of the Marie Curie Excellence team funded by European Research Council (ERC). From January 2011 to November 2012 he worked on another EU project (Future Fast Aeroelastic Simulation Technologies). His research interests include nonlinear structural dynamics, model updating/identification, uncertainty modelling, propagation and identification, morphing aircraft and aeroelasticity. Dr Khodaparast has been awarded the Royal Academy of Engineering Industrial Secondment and Sêr Cymru National Research Network (NRN) awards (September 2015-December 2018, £60k) to work with Airbus in the area of efficient aircraft design. His current work concerns development of methods for stochastic nonlinear model updating and stochastic nonlinear gust load predictions, a project funded by EPSRC. Dr Khodaparast has authored/co-authored 36 high-quality journal papers and about 50 conference papers. He is currently a subject editor of journal of Applied Mathematical Modelling. He has served as a reviewer for many prestigious journals in the field of vibration and aeroelasticity.

Model Updating in Structural Dynamics, From Deterministic Linear Towards Non-Deterministic Nonlinear Methods

Finite element model updating is a cornerstone of model validation and verification, its purpose being to adjust an analytical model such that its outputs, in a range of interest, agree with data obtained typically from a vibration test. Deterministic model updating is now a mature technology, widely applied to large scale industrial structures. In the last 10 years, a number of model updating methods [1-4] have been developed to take account of modelling and test-data variability. In these methods, much emphasis has been placed on what has become known as stochastic model updating. On the other hand, in practice, many structures are unlikely to behave perfectly linearly during vibration tests, especially when they respond at large amplitudes. Currently it is common to neglect such nonlinearities as they have marginal effects. However, with the drive towards more efficient and flexible structures, nonlinear dynamic behaviour is inevitably becoming more common. For such structures, linear models no longer achieve high-fidelity predictions and may, in some instances, fail to capture critical dynamic behaviours [5-6]. In this presentation, first the problem of deterministic linear model updating is introduced. Stochastic model updating using Bayesian inference is described and its application to the DLR AIRMOD structure will be demonstrated. The recent progress on developing deterministic nonlinear model updating methods will be also explained and the application in an illustrative beam example with geometric nonlinearity will be shown. Finally, future direction for stochastic nonlinear model updating will be briefly described.

Haris Trobradovic,

Qualification: Level 2 Ultrasound inspector
Level 1 and Lev2 instructor
Ultrasound in condition monitoring implementation trainer
Certified reliability leader

• Training Manager SDT, responsible for the development and correct delivery of training material associated with the application of Ultrasound to the field of Asset Condition Management.

• The development of sales and marketing strategies, developing advertising and exhibition presence, identifying, negotiating with, visiting, training and supporting prospective representatives throughout the European Community, Scandinavia, Switzerland, South Africa, The Middle East, Asia, Canada and The United States.

• Application of vibration, infrared and ultrasound measurement to predictive maintenance in the many industries including: Aviation, Power Generation, Nuclear, Steel, Offshore, Petrochemical, Textiles, Mining, Quarrying, Paper, Marine, Food Production, Automotive and Pharmaceuticals.

This work has involved:
• Development And implementation of predictive maintenance regimes and strategies for clients using multiple technologies; • Specification of instrumentation, installation, commissioning and fault-finding;
• Using portable data collection equipment and spectrum analysers for measurements and diagnostic analysis;
• Maintenance of predictive maintenance hard system;
• Predictive maintenance software database maintenance and repair;
• Provision of non-line help support for operators;
• Preparation and presentation of training courses on ultrasound theory, predictive maintenance and Maintenance Best Practice to industry throughout the World
• Noise and acoustic intensity analysis;

Modal Analysis
Operating Deflection Shape Analysis
Run-up and Coast-down transient analysis
AC induction motor rotor bar analysis
Transfer function analysis
Time waveform analysis on reciprocating compressors
Slow-speed vibration analysis

Keynote Speech Topic: Condition monitoring today

• Welcome to industry 4.0.. or
not • Main challenges; Technology & Culture
• Easy , or we accept half of the success ?
• Who´s problem is Reliability?

Dr. Hossein Shahverdi, Jaguar Land Rover Limited, UK,

Hossein Shahverdi received BSc in Mechanical Engineering (Solid Design) A.U.T. , Tehran, Iran in 1995, MSc (MEng) in Mechanical Engineering (Applied design) I.U.S.T. , Tehran, Iran in 2001, and PhD in Mechanical Engineering in 2005 from The University of Liverpool, UK. He has worked at Jaguar Land Rover (JLR) since 2006 and currently is Architecture Lead for Full Vehicle NVH – CAE for sedan and SUV platforms. He is a Chartered Engineer and member of Institute of Mechanical Engineering. His academic background is model updating of large structures and worked on several industrial aerospace and automotive applications. He has worked on many NVH problems in the premium sector from simulation and standard load definition to issue resolution as well as target settings. He has published several peer reviewed journal papers a well as technical reports at JLR.

Full Vehicle NVH – CAE Techniques for designing Premium Cars

More and more car companies and OEM use Finite Element simulation techniques to understand how to efficiently engineer to meet refinement expectations of high demanding customers. This is achieved by managing vibrational and acoustical responses in different conditions. Jaguar Land Rover (JLR) is built around two iconic brands with market- leading engineering and technologies Refinement standards are at the heart of this company as the largest premium car Company in the UK. A truly global brand - 80% of its products are exported - with 213 awards in 2016/17 alone. So at JLR noise and vibration attributes are not only related to quality of products but are also being used to define product DNA and to differentiate it from other brands. Vehicle level refinement is composed of several elements with different loading conditions. It could be defined as Road NVH, Powertrain NVH, Operational Sound quality, Squeaks and Rattles, Chassis Knocks and rattles, as well as Aeroacoustics. The main topic of this talk is about vehicle NVH CAE/FE analysis focusing on the road and powertrain driven elements. It is introduced to simulate different loading and driving conditions as well as a toolset to establish subsystem and component targets. Full Vehicle NVH – CAE analysis need to include suspensions and powertrain systems, drivelines, steering systems and body as well as different joints or coordinate systems. It also needs to consider multiple states for some subsystems. For example gear selections, or brake on/off. In this process reduction techniques play a major role in defining FE based subsystems as super elements. Mounts and bushes are typically non-linear, therefore a linear representation based on particular load case can be an appropriate way of simulating non-linearity. And finally defining standard load cases to define acceptable noise and vibration responses consistently across all products to enable comparisons to be made. A case study is also presented. An Engine mount dynamic stiffness shortfall which has resulted to combustion noise failures. An In-house modified mount shows potential improvements. Several CAE techniques such as Sensitivity study, Noise transfer functions, Transfer path Analysis, Topology optimizations are used. The final engine mount design is tested and it even outperforms heavily in-house modified engine mount by reducing combustion noise further yet incurring minimum weight and tooling cost. This final design is successfully introduced on time for production.

Martin Davy ,

Area Sales Manager of Brüel & Kjær Sound & Vibration Measurement
Born in 1985, France
2009 MSc Mech Engineer from Ecole Centrale Nantes, France
2009-2011 COWI, Denmark - Field worker and team leader for geophysical surveys
2011-2016 Dantec Dynamics, Denmark.
2016- Brüel & Kjær Sound & Vibration, Denmark

Smart setup and accelerometer mounting check for vibration measurements

This paper describes some of the challenges experienced by many experimentalists and presents new ways of overcoming these. the smart setup can dramatically reduce the time required for the test setup and the presented accelerometer mounting check procedure can check the transducer`s health and the integrity of the whole measurement channel. The goal is to get data right first time and in the shortest possible time.

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