CAEfatigue VIBRATION is a second generation frequency domain random response and fatigue analysis solver that uses transfer functions from solvers like Nastran as input and outputs random response and fatigue damage results. It allows for more flexible loads like mixed random and deterministic loads and the ability to apply multiple simultaneous inputs. CAEfatigue VIBRATION provides a simpler implementation, more robust solutions, and is suitable for very large models compared to first generation tools.
Fatigue life prediction of structures whose natural frequencies lie near the frequencies of the input loading requires the stress results from dynamic analyses. These analyses can be performed in either the time or the frequency domains depending on the nature or the loading. This presentation will outline the approaches available for fatigue life prediction using Altair OptiStruct and APA product, nCode DesignLife for both time and frequency based dynamic analyses. The strengths, weaknesses and assumptions of each approach will be presented, along with typical applications enabling the user to select the proper technique for their particular use case.
Fatigue life prediction of structures whose natural frequencies lie near the frequencies of the input loading requires the stress results from dynamic analyses. These analyses can be performed in either the time or the frequency domains depending on the nature or the loading. This presentation will outline the approaches available for fatigue life prediction using Altair OptiStruct and APA product, nCode DesignLife for both time and frequency based dynamic analyses. The strengths, weaknesses and assumptions of each approach will be presented, along with typical applications enabling the user to select the proper technique for their particular use case.
CALIBRATION is a documented comparison of the measurement device to be calibrated against a traceable reference standard or device
Need of calibration:
Making sure that instrument making consistent measurement and displaying the correct readings
Establishing the instruments reliability
Maintaining adherence to industry standards , govt regulations , quality assurance norms like current good manufacturing practice
Determining the precision , deviation , and reliability of measurements
Wind tunnels are large tubes with air blowing through them
Need of wind tunnel:
tunnels are used to replicate the actions of an object flying through the air or moving along the ground
researchers use wind tunnels to learn more about how aircraft will fly
the wind tunnel moves air around an object making it seem as if the object is really flying
Laminar flow over backward-facing step (2D) simulationHayderJawadKadhim
Is to simulate a laminar flow over a backward-facing step and
Give some insight into the influence of the grid density and
Order of the spatial discretization.
Stress concentrations produced by discontinuities in structures such as holes, notches, and fillets will be introduced in this section. The stress concentration factor will be defined. The concept of fracture toughness will also be introduced.
This presentation gives an information about: photoelasticity, covering syllabus of Unit-3, of Experimental stress analysis subject for BE course under Visvesvaraya Technological University (VTU), Belgaum.
This Presentation explains about the introduction of Frequency Response Analysis. This video clearly shows advantages and disadvantages of Frequency Response Analysis and also explains frequency domain specifications and derivations of Resonant Peak, Resonant Frequency and Bandwidth.
What is a continuous structure?
How to analyse the vibration of string, bars and shafts?
How to analyse the vibration of beams?
#WikiCourses
https://wikicourses.wikispaces.com/Topic+Vibration+of+Continuous+Structures
https://eau-esa.wikispaces.com/Vibration+of+structures
건설산업의 End to-end 협업을 위한 선진 BIM 방법론 (다쏘시스템)다쏘시스템코리아
2015년 11월 17일에 코엑스에서 개최된 "대내외 협업 혁신을 위한 2015년 다쏘시스템 건설산업 세미나"에서 소개된 발표자료입니다. "건설산업의 End-to-End 협업을 위한 선진 BIM 방법론"을 위해 Akio Moriwaki (다쏘시스템 건설산업 부분 마케팅 디렉터)가 발표한 자료입니다.
CALIBRATION is a documented comparison of the measurement device to be calibrated against a traceable reference standard or device
Need of calibration:
Making sure that instrument making consistent measurement and displaying the correct readings
Establishing the instruments reliability
Maintaining adherence to industry standards , govt regulations , quality assurance norms like current good manufacturing practice
Determining the precision , deviation , and reliability of measurements
Wind tunnels are large tubes with air blowing through them
Need of wind tunnel:
tunnels are used to replicate the actions of an object flying through the air or moving along the ground
researchers use wind tunnels to learn more about how aircraft will fly
the wind tunnel moves air around an object making it seem as if the object is really flying
Laminar flow over backward-facing step (2D) simulationHayderJawadKadhim
Is to simulate a laminar flow over a backward-facing step and
Give some insight into the influence of the grid density and
Order of the spatial discretization.
Stress concentrations produced by discontinuities in structures such as holes, notches, and fillets will be introduced in this section. The stress concentration factor will be defined. The concept of fracture toughness will also be introduced.
This presentation gives an information about: photoelasticity, covering syllabus of Unit-3, of Experimental stress analysis subject for BE course under Visvesvaraya Technological University (VTU), Belgaum.
This Presentation explains about the introduction of Frequency Response Analysis. This video clearly shows advantages and disadvantages of Frequency Response Analysis and also explains frequency domain specifications and derivations of Resonant Peak, Resonant Frequency and Bandwidth.
What is a continuous structure?
How to analyse the vibration of string, bars and shafts?
How to analyse the vibration of beams?
#WikiCourses
https://wikicourses.wikispaces.com/Topic+Vibration+of+Continuous+Structures
https://eau-esa.wikispaces.com/Vibration+of+structures
건설산업의 End to-end 협업을 위한 선진 BIM 방법론 (다쏘시스템)다쏘시스템코리아
2015년 11월 17일에 코엑스에서 개최된 "대내외 협업 혁신을 위한 2015년 다쏘시스템 건설산업 세미나"에서 소개된 발표자료입니다. "건설산업의 End-to-End 협업을 위한 선진 BIM 방법론"을 위해 Akio Moriwaki (다쏘시스템 건설산업 부분 마케팅 디렉터)가 발표한 자료입니다.
Rotating machinery can be found in every industry: automotive, aerospace, energy, etc. The generated vibration environment is typically made of harmonic tones superimposed on background noise. Components mounted on rotating machinery must be designed to survive such mechanical environment over their entire service life. This presentation will concentrate on calculating the fatigue life from sine-on-random excitations using Finite Element Analysis (FEA). It is proposed to derive the statistical rainflow cycle histogram from a sine-on-random spectrum of stress or strain data and then use the appropriate material fatigue curve to obtain the estimated life. This new analysis is complementary to existing features such as SineDwell, SineSweep and (uni- or multi-axes) random PSD. It is part of extensive research work that includes the influence of sigma clipping or the effects of a high kurtosis.
Speakers
Frédéric Kihm, Application Engineer, HBM-nCode
ECG COMPRESSION USING
FFT
The electrocardiogram (ECG) is a diagnostic tool that is routinely used to assess the electrical and muscular functions of the heart. Sometimes it is required to send the ECG signals from one place to another place. The ECG signals are compressed at first to reduce the amplitude and frequency and then transferred. ECG signals are compressed by using many techniques. One of the most important technique is FFT.
FFT (Fast Fourier Transform) is a technique used to convert analog signal to digital signal.
In FFT, The total process takes five steps:-
1) Input signal
2) Compression (counter A)
3) Compression (counter B)
4) Recovery of the original signal by using IFFT
5) Error checking
Now the detailed explanation of the above steps is given below
At first the input signal (ECG signal) is taken.
There are two stages for compression. In first stage of compression there is a counter A. It identifies the non-zero values of the signal before compression. After compression if the length of the compressed signal is less than the length of the actual signal, then zero padding is done to make equal the lengths of compressed and actual signal.
Now the signal is passed through the counter B. It identifies the non-zero values after the compression of the signal. Now after compression if the length of the compressed signal is greater than the length of the actual signal, then TRUNCATION of the signal is done.
Now by applying IFFT (Inverse Fast Fourier Transform) the original ECG signal is recovered.
The Error is checked at the last stage.
Compression ratio is given by
CR=(B-A)/B *100
CR-Compression ratio
A-compression in counter A
B-compression in counter B
Compression ratio is a major factor to determine how much compression the signal undergoes.
The compressed signal contains only positive values.
Thus ECG signal is compressed by using FFT technique.
Applications:-
• It finds application in hospitals, when a patient’s report is to be send to another doctor in prenomial place.
Response of dynamic systems to harmonic excitation is discussed. Single degree of freedom systems are considered. For general damped multi degree of freedom systems, see my book Structural Dynamic Analysis with Generalized Damping Models: Analysis (e.g., in Amazon http://buff.ly/NqwHEE)
In this presentation we can get to know how we can construct a bode plot with suitable examples Of different -different orders.
Along with that a simulation model on MATLAB with graph.
And in this we have explained about the transfer function, poles & zeroes.And the basic concept of stability.
The discrete Fourier transform has many applications in science and engineering. For example, it is often used in digital signal processing applications such as voice recognition and image processing.
The Application Fault Tolerance (AFT) portion of the Jet Propulsion Laboratory-led Remote Exploration and Experimentation (REE) final review, May 2001, with references to REE-produced AFT papers added after the review (last three slides)
In this Dagstuhl talk, I presented my current research on cloud auto-scaling and component connector self-adaptation and how I employed type-2 fuzzy control to tame the uncertainty regarding knowledge specification.
Slides of a talk given at ERTS2008 in Toulouse. Abstract: with the increasing amount of electronics, making best usage of the bandwidth becomes of primary importance in automotive networks. One
solution that is being investigated by car manufacturers is to schedule the messages with offsets, which leads to a desynchronization of the message streams. As it will be shown, this “traffic shaping” strategy is very beneficial in terms of worst-case response times. In this slides, the problem of choosing the best offsets is addressed in the case of Controller Area Network, which is a de-facto standard in the automotive world. Comprehensive experiments shown give insight into the fundamental reasons why offsets are efficient, and demonstrate that offsets actually provide a major performance boost in terms of response times. These experimental results suggest that sound offset strategies may extend the lifespan of CAN further, and may defer the introduction of FlexRay and additional CAN networks.
byteLAKE's expertise across NVIDIA architectures and configurationsbyteLAKE
AI Solutions for Industries | Quality Inspection | Data Insights | AI-accelerated CFD | Self-Checkout | byteLAKE.com
byteLAKE: Empowering Industries with AI Solutions. Embrace cutting-edge technology for advanced quality inspection, data insights, and more. Harness the potential of our CFD Suite, accelerating Computational Fluid Dynamics for heightened productivity. Unlock new possibilities with Cognitive Services: image analytics for precise visual inspection for Manufacturing, sound analytics enabling proactive maintenance for Automotive, and wet line analytics for the Paper Industry. Seamlessly convert data into actionable insights using Data Insights' AI module, enabling advanced predictive maintenance and risk detection. Simplify Restaurant and Retail operations with our efficient self-checkout solution, recognizing meals and groceries and elevating customer satisfaction. Custom AI Development services available for tailored solutions. Discover more at www.byteLAKE.com.
High performance digital predistortion for wideband RF power amplifiersLei Guan (Phd, SM-IEEE)
Key points of Digital Predistortion (DPD) Technique for linearizing RF Power Amplifiers. Those work were done when I was in University College Dublin, Ireland.
It seems like you're providing information about the publication process of the International Journal of Advanced Publication Practices. This information outlines the fast publication schedule and peer-review process by the journal of the appears to prioritize a fast and efficient publication process while maintaining the quality and integrity of the research it publishes of the journal paper publication.
Altair offers a unique set of simulation tools to evaluate product feasibility, optimize the manufacturing process, and run virtual try-outs for many traditional, subtractive, and additive manufacturing processes.
Smart Product Development: Scalable Solutions for Your Entire Product LifecycleAltair
Being connected to your products opens doors to recurring and value-based revenue streams. It not only solves your customer's toughest challenges; it also helps build a sustainable future for your company. Try SmartWorks IoT today, for free trial .
An engineer working for Northrop Grumman Systems Corporation Marine Systems (NGSC-MS) was given a project to improve their teams’ current NASTRAN results post-processing workflow by writing a script to automate the task. They reached out to Altair for collaboration and Altair engineers were able to quickly determine that Altair’s mathematical modeling environment – “Altair Compose” – would be the ideal solution due to its ability to read, manipulate, and write NASTRAN results. Also, the Open Matrix Language is a scripting language that is familiar to the engineering community. Given sample NASTRAN results and requirements Altair engineers provided a “template” script. The NGSC-MS team was able to quickly understand and modify the script to their goals. The custom results were then viewable in HyperView as a contour plot, which saved a considerable amount of time during post-processing and documentation workflows.
Designing for Sustainability: Altair's Customer StoryAltair
Bush Bohlman was required to perform the structural analysis and timber design for the British Columbia Institute of Technology, (BCIT), student plaza, a pedestrian and public transport user gateway for the institute. The structure needed to establish a strong campus identity with a biophilic design and demonstrable support for sustainable building practices while ensuring structural safety according to local design codes. The hybrid mass timber structure consists of a Cross-Laminated Timber (CLT) canopy, CLT columns, and steel columns. By using S-TIMBER, the engineers were able to simulate the complex two-way bending behavior of the cantilevering roof panels and asymmetrical column layout. Having the model in S-TIMBER allowed for changes to be analyzed and re-designed, without the need to manually design individual timber and steel elements. S-TIMBER's design reports presented the design calculations concisely, yet transparently, for faster and easier reviews.
why digital twin adoption rates are skyrocketing.pdfAltair
Even though digital twin technology isn’t necessarily new, its adoption is sweeping regions and industries at astonishing rates. Organizations are rushing to adopt digital twins, learning how they can use it for different applications and purposes, and foresee even more growth in the coming few years. In this infographic, remember the big story about digital twin adoption and find out what companies worldwide have in store for their digital twin futures.
Digital twin technology has the potential to usher in unprecedented sustainability breakthroughs in industries around the world. As the world sprints toward a net zero future, organizations are rushing to adopt solutions that will create a more sustainable planet filled with technology that will enable people to minimize their impact on the people, wildlife, and environments around them. In this infographic, see how companies are flocking to digital twin technology to meet their sustainability objectives and where digital twin can have the greatest impact.
Altair’s industrial design tools allow designers, architects, and digital artists to create, evaluate, and visualize their vision faster than ever before. Focus on ideas instead of being hindered by shortcomings of the software tools and liberate creativity with design software that lets the user model freely, make changes effortlessly, and render beautifully.
Analyze performance and operations of truck fleets in real timeAltair
Altair’s event processing and data visualization tools enable fleet operators to analyze critical data streaming in from sensors and other sources. This real-time visibility into vehicle and driver performance helps reduce operating costs, improve driver safety, and increase fleet productivity. Analysts can display maps showing the current position of all assets, examine route deviations, program alerts on any set of parameters, and compare drivers’ behavior. Analysts can design and modify analytical dashboards as needed without writing a single line of code.
Knowledge Studio text analytics add-on is an industry-first application that combines visual text discovery and sentiment analysis with the power of predictive analytics. It delivers unparalleled voice of the customer insights to support customer experience management.
Altair’s Data Analytics solutions help reduce healthcare IT complexities and add efficiencies in areas like claims/reimbursement processing, revenue cycle management, interoperability, patient adherence and satisfaction analysis, and physician performance analysis.
Altair allows healthcare organizations to access, cleanse, and transform data—helping to break down data application silos and building automated workflows into standardized, shareable assets for optimizing strategic planning, streamlining operations, and maximizing resources.
Altair’s artificial intelligence (AI) and machine learning (ML) software helps materials scientists understand how to best fill gaps in their material databases, even when it’s impossible to test all possible variants. These advanced tools also optimize testing programs, improve efficiency, and reduce the time required to complete materials testing.
Altair High-performance Computing (HPC) and CloudAltair
Altair’s industry-leading HPC tools let you orchestrate, visualize, optimize, and analyze your most demanding workloads, easily migrating to the cloud and eliminating I/O bottlenecks. Top500 systems and small to mid-sized computing environments alike rely on Altair to keep infrastructure running smoothly. With longstanding hardware and cloud provider partnerships, we handle the integrations for you so your team can focus on moving business forward.
No Code Data Transformation for Insurance with Altair MonarchAltair
Altair Monarch is the fastest and easiest way to extract data from dark, semi-structured sources like PDFs, spreadsheets, and text files, as well as from Big Data and other structured sources. Monarch cleans, transforms, blends, and enriches data with an easy-to-use interface free of coding and scripting. For 30 years Monarch has helped insurers worldwide save time and money by enabling people of different skill sets to transform data quickly and precisely for efficient analysis around calculating premiums, identifying fraudulent claims, optimizing customer retention strategies, and more.
Altair Data analytics for Banking, Financial Services and Insurance Altair
Data is a significant asset for any organization. The older the data get, the more valuable it becomes. But the value of data doesn't lie in that you have it but in how you utilize it. Altair provides you the complete Data analytics, AI, and ML solutions across industries like manufacturing, insurance, finance, and government sectors to help you make smarter data decisions.
Altair data analytics and artificial intelligence solutionsAltair
Altair enables organisations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization, and more. With a no-code, cloud-ready interface, organisations can harness the full power of analytics and AI throughout their complete data lifecycle, driving next-level business results.
Are You Maximising the Potential of Composite Materials?Altair
This presentation provides a summary of the talks given at Altair's Composite Design ATCx seminar which took place in the UK on 26th June, 2018. The presentation includes input from Gordon Murray Design, McLaren, Simpact and many more, describing how they are using Altair technologies to reduce composite product weight, reduce time to market, improve impact performance and much more.
Lead time reduction in CAE: Automated FEM Description ReportAltair
For each deliverable FE-Model a FEM description report needs to be generated. Since this document contains always the same type of information, it is an ideal candidate to automate the creation of this report. Based on the Hyper Report Tool from Altair, RUAG Space and Altair developed a tool to automatically generate the FEM Description Report. The tool requires the HyperMesh data base and the output files from FEM checks as inputs. Together with the tool template, guidelines are provided on how the data base needs to be set up, such that the report can be created automatically. The main structure of the FEM Description Report is dependent on the assembly structure of the HM data base.
Car makers have to reduce consumption of vehicles and so, are continually looking for solutions to lighten components. For powertrain, components generally mean screwed assembly, contact and fitting interfaces, with different kind of loading to take into account (static and dynamic). Hence, we decided to apply with Altair assistance, a process of topology optimization on an assembly of gearbox housing in order to check its feasibility and efficiency. Several steps had to be solved from exhaustive identification of all mechanical constraints to execution of large models with Optistruct. By the end, the process has been defined and implemented on an existing gearbox and will be soon apply on the next one to design.
Speakers
Philippe Dausse, Modelization Specialist, PSA Peugeot Citroen Automobiles
The Team H2politO: vehicles for low consumption competitions using HyperWorks Altair
The Team H2politO is a group of students of the Politecnico di Torino. The student’s background and profiles are very diverse, everyone comes from a different discipline of engineering and together they compose a complete Team. The disciplines range from Automotive and Mechanical to Electronics, Aerospace, Energy, Mathematics, Computer Science, Mechatronics, Management, Cinema and Media and Industrial Design. The Team mission is to shape a new generation of engineers, leaders in their fields, who represent the educational excellence in regard of each of their competencies.
The results of Team passion and hard work are three low-energy consumption vehicles completely designed and made by the Team: IDRA - hydrogen powered prototype; XAM – bioethanol powered parallel hybrid urban concept; XAM 2.0 –EREV city vehicle.
The main goal is to take part and win in Shell Eco-marathon, a competition that every year involves more than one hundreds of students teams arriving from all over Europe. Especially we would like to spread the Shell Eco-marathon values through ours, combining the sustainable development with a vehicle that uses the least possible amount of energy.
H2politO is a different, innovative and somehow unique project, is not just a Team but something more: it is a new type of conceiving educational, professional and personal growth. Team members aim at being perceived as an experimental laboratory where competences, capabilities and potentialities of future’s engineers are fostered. Students strive to become not only solid and advanced technical experts but, equally important, down-to-earth managers having excellent communication, leadership and teamwork skills.
Practical and hands-on experiences are doubtlessly a complementary and enriching form of educational path where it is very important the use of simulation software like HyperWorks. Team members have a real opportunity to lead their educational path by building and crafting their own thesis. Final papers are indeed part of a cluster of thesis which combines all the technological and organizational areas of development H2politO has envisioned and embraced.
The Team believes in hard work as the basis of future success. Students crave for continuously improving and strive for exceeding expectations by nurturing the team spirit in order to create those synergies able to add value to individual performances and capabilities. As a consequence, passion and team-spirit are really the foundation of H2politO values.
Speakers
Prof. Massimiliana Carello, Politecnico di Milano
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...Altair
Better correlation of measurement data using Motion Solve and FEFMAT LAB virtual iteration Matching of locally measured data calculating excitations (input) based on MBS process (MotinSolve) to reach local measured data Using this process and the output of MotionSolve for a hybrid MBS- fatigue process
Speakers
Axel Werkhausen, Manager Sales & Support, MAGNA / Engineering Center Steyr GmbH & Co KG
Learn why monitoring your Mercedes' Exhaust Back Pressure (EBP) sensor is crucial. Understand its role in engine performance and emission reduction. Discover five warning signs of EBP sensor failure, from loss of power to increased emissions. Take action promptly to avoid costly repairs and maintain your Mercedes' reliability and efficiency.
𝘼𝙣𝙩𝙞𝙦𝙪𝙚 𝙋𝙡𝙖𝙨𝙩𝙞𝙘 𝙏𝙧𝙖𝙙𝙚𝙧𝙨 𝙞𝙨 𝙫𝙚𝙧𝙮 𝙛𝙖𝙢𝙤𝙪𝙨 𝙛𝙤𝙧 𝙢𝙖𝙣𝙪𝙛𝙖𝙘𝙩𝙪𝙧𝙞𝙣𝙜 𝙩𝙝𝙚𝙞𝙧 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨. 𝙒𝙚 𝙝𝙖𝙫𝙚 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙥𝙡𝙖𝙨𝙩𝙞𝙘 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙪𝙨𝙚𝙙 𝙞𝙣 𝙖𝙪𝙩𝙤𝙢𝙤𝙩𝙞𝙫𝙚 𝙖𝙣𝙙 𝙖𝙪𝙩𝙤 𝙥𝙖𝙧𝙩𝙨 𝙖𝙣𝙙 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙛𝙖𝙢𝙤𝙪𝙨 𝙘𝙤𝙢𝙥𝙖𝙣𝙞𝙚𝙨 𝙗𝙪𝙮 𝙩𝙝𝙚 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙛𝙧𝙤𝙢 𝙪𝙨.
Over the 10 years, we have gained a strong foothold in the market due to our range's high quality, competitive prices, and time-lined delivery schedules.
Your VW's camshaft position sensor is crucial for engine performance. Signs of failure include engine misfires, difficulty starting, stalling at low speeds, reduced fuel efficiency, and the check engine light. Prompt inspection and replacement can prevent further damage and keep your VW running smoothly.
Comprehensive program for Agricultural Finance, the Automotive Sector, and Empowerment . We will define the full scope and provide a detailed two-week plan for identifying strategic partners in each area within Limpopo, including target areas.:
1. Agricultural : Supporting Primary and Secondary Agriculture
• Scope: Provide support solutions to enhance agricultural productivity and sustainability.
• Target Areas: Polokwane, Tzaneen, Thohoyandou, Makhado, and Giyani.
2. Automotive Sector: Partnerships with Mechanics and Panel Beater Shops
• Scope: Develop collaborations with automotive service providers to improve service quality and business operations.
• Target Areas: Polokwane, Lephalale, Mokopane, Phalaborwa, and Bela-Bela.
3. Empowerment : Focusing on Women Empowerment
• Scope: Provide business support support and training to women-owned businesses, promoting economic inclusion.
• Target Areas: Polokwane, Thohoyandou, Musina, Burgersfort, and Louis Trichardt.
We will also prioritize Industrial Economic Zone areas and their priorities.
Sign up on https://profilesmes.online/welcome/
To be eligible:
1. You must have a registered business and operate in Limpopo
2. Generate revenue
3. Sectors : Agriculture ( primary and secondary) and Automative
Women and Youth are encouraged to apply even if you don't fall in those sectors.
Why Is Your BMW X3 Hood Not Responding To Release CommandsDart Auto
Experiencing difficulty opening your BMW X3's hood? This guide explores potential issues like mechanical obstruction, hood release mechanism failure, electrical problems, and emergency release malfunctions. Troubleshooting tips include basic checks, clearing obstructions, applying pressure, and using the emergency release.
5 Warning Signs Your BMW's Intelligent Battery Sensor Needs AttentionBertini's German Motors
IBS monitors and manages your BMW’s battery performance. If it malfunctions, you will have to deal with an array of electrical issues in your vehicle. Recognize warning signs like dimming headlights, frequent battery replacements, and electrical malfunctions to address potential IBS issues promptly.
What Are The Immediate Steps To Take When The VW Temperature Light Starts Fla...Import Motorworks
Learn how to respond when the red temperature light flashes in your VW with this presentation. From checking coolant levels to seeking professional help, follow these steps promptly to prevent engine damage and ensure safety on the road.
Fleet management these days is next to impossible without connected vehicle solutions. Why? Well, fleet trackers and accompanying connected vehicle management solutions tend to offer quite a few hard-to-ignore benefits to fleet managers and businesses alike. Let’s check them out!
In this presentation, we have discussed a very important feature of BMW X5 cars… the Comfort Access. Things that can significantly limit its functionality. And things that you can try to restore the functionality of such a convenient feature of your vehicle.
Symptoms like intermittent starting and key recognition errors signal potential problems with your Mercedes’ EIS. Use diagnostic steps like error code checks and spare key tests. Professional diagnosis and solutions like EIS replacement ensure safe driving. Consult a qualified technician for accurate diagnosis and repair.
What Does the PARKTRONIC Inoperative, See Owner's Manual Message Mean for You...Autohaus Service and Sales
Learn what "PARKTRONIC Inoperative, See Owner's Manual" means for your Mercedes-Benz. This message indicates a malfunction in the parking assistance system, potentially due to sensor issues or electrical faults. Prompt attention is crucial to ensure safety and functionality. Follow steps outlined for diagnosis and repair in the owner's manual.
The Octavia range embodies the design trend of the Škoda brand: a fusion of
aesthetics, safety and practicality. Whether you see the car as a whole or step
closer and explore its unique features, the Octavia range radiates with the
harmony of functionality and emotion
Time v Frequency Domain Analysis For Large Automotive Systems
1. 10/05/15%
1%
Neil Bishop§, Stuart Kerr§, Paresh Murthy§, and Karl Sweitzer§§
§CAEfatigue Limited, Farnham, Surrey, UK.
§§Booz Allen Hamilton, Herndon, VA, USA
Time v Frequency Domain Analysis For
Large Automotive Systems
CAEfatigue
Established in the United Kingdom and focused on frequency
domain response and fatigue analysis solutions. CEO of the
Company, and others in the company, have been pioneers in
the field for 30 years. Dr. Neil Bishop could be considered to
be the “inventor” of the 1st generation tools and is very well
known in the field.
CAEfatigue VIBRATION
Or CFV for short is a 2nd generation frequency domain random response and fatigue
solver - re-engineered from the ground up with all-new algorithms and technology. It
uses, as input, system transfer functions from solvers like Nastran, Ansys, Abaqus and
Optistruct, and outputs random response and fatigue damage results that can be
processed in post processors like Patran or Hyperview.
simple tools advanced features faster solutions!
Frequency Domain Response and Fatigue Analysis Solver
2
2. 10/05/15%
2%
Summary
Frequency domain is generally better for dynamics. Both quantitative
and qualitative advantages are well recognised.
Traditional fatigue was born in the time domain (mainly statics)
CAEfatigue VIBRATION is a 2nd generation frequency domain random
response and fatigue tool based on multiple new technology
developments.
Presentation Agenda
• Technology Overview (why we would want to work in the
frequency domain)
• Accuracy
• Improving the Management of Loads in the Frequency Domain
Transition From 1st to 2nd Generation Vibration Fatigue Solvers
• Automotive customers need to be able to apply multiple (eg 100 simultaneous) inputs
(Many automotive OEM’s are very keen to use these methods for large models)
4
NB PSD
Sine waves
Deterministic
Components
Random
PSD
Combined Loads –
Frequency Domain
Stress pdf
Fatigue Damage
Loads have to be combined
before calculation of the
stress pdf
Mean Load
Response
Parameters
(if Needed)
Time
Domain
Frequency
Domain
1st generation tools do not allow either
• Aerospace customers need to be able to apply mixed random and deterministic loads
(eg sine sweep + mean + random or random + narrow band + mean)
3. 10/05/15%
3%
What Is A PSD (What Is The Frequency Domain)
Power Spectral Density (PSD)
Random
(time domain)
=
4040
44
33
22
11
,
.
,
.
,
,
,
,
fa
fa
fa
fa
fa
fa
ii
Amplitudes - squared
5
Deterministic
(time)
a1, f1,ϕ1
a2, f2,ϕ2
a3, f3,ϕ3
a4, f4,ϕ4
.
ai, fi,ϕi
.
a40, f40,ϕ40
=
Why Work In Frequency Domain?
frequency
time
Windspeed
PSDStress
PSD
frequency
time
HubStress
Time Domain
SOL109 or SOL112
Direct or Modal Transient
(loads & system connected)
Frequency Domain
SOL108 or SOL111
Direct or Modal FRA
(loads & system not connected)
applied to
structure
applied to
structure
4. 10/05/15%
4%
Mode 1
Mode 2
Mode 200
Mode j
Modes (stress fields)
for weight condition i
Example: Modal Transient (Direct Not Possible)
Weight 1
Weight 2
Weight 5
Weight i
Fatigue life calculation for Weight i, and
Event k, using 200 Modes (stress fields) and
200 MPF’s (time histories)
Sum of all damages
SOL112SOL103
Event 1
Event 2
Event 40
Event k
PMF 1
MPF 2
MPF 200
MPF l
MPF’s for Weight
i and Event k
• The number of Nastran runs required for the example problem would be 5 x 40 = 200 Nastran runs.
• This example also has 200 modal stress fields for each weight condition, hence 200 x 5 = 1,000 modal
stress fields are required.
• Each modal stress field contains approx 4M x 10 (GID’s) x 1000 = 40,000,000,000 stress components.
• 200 x 200 = 40,000 MPF’s have to be generated. If we assume these are 1000 seconds at 2000Hz; then
80,000,000,000 MPF data points have to be managed.
• 4M elements (quads)
• 5 Weight Conditions
• 40 Events
• 200 Modes
Example: Frequency Based (Modal or Direct)
Weight 1
Weight 2
Weight 5
Weight i
Transfer
Function 1
Transfer
Function 2
Transfer
Function i
Transfer
Function 5
Nastran
SOL111/108 for
frequency j
Nastran
SOL103
Nastran
Database
Stress
recovery
module
Event 1
Event 2
Event 200
Event k
Fatigue life
calculation for
all Events for
Weight i
Sum of all
damages
Moment
set for
Transfer
Function i
Repeat for all
transfer functions
Complete Transfer
Function (all frequencies)
for weight i written to OP2
file i (for all subcases)
• In the frequency domain only 5 stress solver runs are needed (in current implementation these can
be very large but possibilities exist to minimise or even eliminate these OP2 files)
5. 10/05/15%
5%
User
Interface
(in V3.0)
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
9
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
CFV should be considered as an output request for the stress solver
User
Interface
(in V3.0)
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
10
• Non-linear rms strain and max strain
• displacement, velocity and acceleration,
force (R3.0)
• Composite layers (R4)
• Ansys support (R2.1)
• Abaqus support (R2.1)
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
6. 10/05/15%
6%
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
11
• Very easy template system
• Ideal for batch and solver integration
• easy pre processing of loads
User
Interface
(in V3.0)
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
11
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
• Complex principal stress
• Gershgorin Circle Theorem
(eigenvalue extraction)
• Strain-life solver
• Seam welds (R2.1)
• Temp dependant materials (R 2.1)
• Spot welds (R3.0)
User
Interface
(in V3.0)
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
12
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
7. 10/05/15%
7%
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
13
• “Running Sum” moment technology
• Fast OP2 stress file interrogation
• 1000+GB results files easily processed
User
Interface
(in V3.0)
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
13
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
14
• Mixed random plus harmonics
(MIL-STD-810G)
• New sine sweep technology
• Unique sine-on-random
• Unique narrow-band-on-random
• Embedding of MMPDS material data
User
Interface
(in V3.0)
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
14
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
8. 10/05/15%
8%
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
15
• Multiple correlated loads
(eg 100 inputs)
User
Interface
(in V3.0)
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
15
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
Conversion of Simultaneous Time Histories to PSD Matrix
time signal 1
time signal 2
time signal 3
time signal 4
time signal 5
time signal 6
time signal 7
time signal 8
time signal 9
time signal 10
time signal 11
time signal 12
PSD matrix for event 6Time signals for event 6
event 6 loading
Complete duty cycle
Complete duty cycle
PSD Matrix Event 1
152 seconds
PSD Matrix Event 2
42 seconds
PSD Matrix Event 3
18 seconds
PSD Matrix Event 4
18 seconds
PSD Matrix Event 5
480 seconds
PSD Matrix Event 6
1682 seconds
PSD Matrix Event 7
378 seconds
PSD Matrix Event 8
18 seconds
PSD Matrix Event 9
18 seconds
PSD Matrix Event 10
68 seconds
16
9. 10/05/15%
9%
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
17
Linked to any 3rd party optimisation code (eg
Mode Frontier) which connects ascii Control
file input (Nastran and/or CFV) to ascii CSV
output
User
Interface
(in V3.0)
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
17
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
18
TIME2PSD Expert System will make
conversion of test data to PSD format easier,
more accurate, and less prone to user
errors
User
Interface
(in V3.0)
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
18
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
10. 10/05/15%
10%
Model Used in For Accuracy Assessment.
This is a summary of a paper (2015-01-0535) that was presented last
week at the SAE2015 Congress.
This model contains 91,783 elements, 580,758 DOF, 12 load application
points (x, y, z at 4 locations) and 10 events (sets of loads in the form of
time histories).
FEM Groups
Steel Cab Frame
(critical element
1035259)
Main Cab Shell
(critical element
1057009
Doors (critical
element 8158502)
Front Strut (critical
element 1050094)
Glass Screen (critical
element 1068132)
11. 10/05/15%
11%
Statistical Analysis of Input Time Histories
Note that the max kurtosis is 12.438 and the average is 3.948,
compared with an idealized Gaussian value of 3.0
www.caefatigue.com
User
Interface
(in V3.0)
CAEfatigue VIBRATION (CFV) Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
22
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
CFV Process Is Defined Using “Control File”
12. 10/05/15%
12%
vibfat 777 csvfefetnastran center 0 Results56
vftgdef 777 Dirlik 100 60 16 99.9 16 64
elset 1 632 2 631 3 633
4 631 5
include Sets/1_40k_yield.txt
include Sets/2_50k_yield.txt
include Sets/3_A6_cab.txt
include Sets/4_A6_doors.txt
include Sets/5_glass_windshield.txt
vftgparm777 sn
stress sgvon swt
vftgseq 777 0 seconds 2874.0
101 152.0 102 42.0 103 18.0 104 18.0
105 480.0 106 1682.0 107 378.0 108 18.0
109 18.0 110 68.0
vftgevnt101 801 701
.
.
vftgevnt110 810 701
vftgload801 PSD 80001 1.0
multi "OP2_files/Truck_SOL111_cent.op2”
include AllEventPSDs/EA10bpsd.txt
.
.
vftgload810 PSD 80010 1.0
multi "OP2_files/Truck_SOL111_cent.op2”
include AllEventPSDs/LS20bpsd.txt
vftgload701 static 1.0
1 "OP2_files/truck_sol101_cent.op2”
Control File for CAEfatigue VIBRATION Analysis.
Summed Events – LOGLVL=0
Control File for CAEfatigue VIBRATION Analysis.
Summed Events – LOGLVL=0
$ Material 1 is Mild Steel EN
$------|-----MID--CNVRT2-------|-------|-------|-------|-------|-
VMATFTG 631 1.0
$------|--STATIC------YS-----UTS-------E-------|-------|-------|-
STATIC 358.5 2.0E5
$------|------EN------Sf-------b------Ef-------c-------K-------n
EN 560.8 -0.109 0.065 -0.39 461.7 0.12
$ Material 2 is assumed Manten Steel EN
VMATFTG 632 1.0
STATIC 560.0 2.0E5
EN 917.0 -0.095 0.260 -0.470 1103.0 0.19
$ Material 3 is RQC100 Steel SN
VMATFTG 633 1.0
STATIC 800.0 2.0E5
$------|------SN----SRI1------B1-----NC1------B2-----NFC-------
SN 13240.0 -0.216 1E8 0.0 1E18
13. 10/05/15%
13%
www.caefatigue.com
Fringe Data Output From CFV Analysis?
Response Statistics
• m0, m1, m2, m4
• Zero crossings
• Peaks per second
• Irregularity factor
• Mean stress
• Mean+P*rms stress
• Mean-P*rms stress
• Mean+P*rms strain
• Mean-P*rms strain
• RMS stress
• RMS strain
Fatigue Results
• Damage
• Log damage
• Life
• Log of life
• Margin of safety
Solids and shells, as well as nodes and
elements, all allowed at the same time
for specific layer or worst layer
25
P is a user definable
variable
Fatigue damage (log of damage) contour plot for all events for the steel
frame. A maximum of -0.921 means the damage is 0.1200, or the life (in
repeats of the complete duty cycle) is 8.34 repeats
14. 10/05/15%
14%
Fatigue damage (log of damage) contour plot for all events for the
cab doors. A maximum of -1.16 means the damage is 0.0692, or the
life (in repeats of the complete duty cycle) is 14.45 repeats
Fatigue damage (log of damage) contour plot for all events for the
front strut. A maximum of -0.848 means the damage is 0.142, or
the life (in repeats of the complete duty cycle) is 7.05 repeats
15. 10/05/15%
15%
Event 8: Maximum Root Mean Square strain (rms) = 0.000493
RMS Stress Responses
rms values calculated using CAEfatigue VIBRATION for each event and each critical
element
rms values calculated using the SOL112 von-Mises time histories for each event
and each critical element
16. 10/05/15%
16%
RMS Stress Response Comparison
Comparison of Damage Results
Fatigue damage increments calculated using the SOL112 von-Mises time histories
for each event and each critical element
Fatigue damage increments calculated using CAEfatigue VIBRATION
for each event and each critical element
17. 10/05/15%
17%
Comparison of Damage Results
Statistical Analysis of Response (von-Mises) Time
Histories
Responses'
from'SOL112 Period'(s)
01-EA10 38.0
02-EGV1 14.0
03-ER20 6.0
04-ER30 6.0
05-LP10 96.0
06-LP12 58.0
07-LP14 54.0
08-LR20 6.0
09-LR30 6.0
10-LS20 34.0
Overall
stdRatStd stdRatMin stdRatMax kurtStd kurtMin kurtMean kurtMax
0.127 0.684 1.333 0.636 2.132 2.921 5.646
0.255 0.573 1.521 1.426 2.186 3.725 8.732
0.172 0.665 1.141 1.488 1.800 3.707 6.372
0.120 0.811 1.179 0.980 2.841 3.651 5.427
0.216 0.124 1.749 0.821 1.883 2.873 8.608
0.156 0.580 1.430 0.457 2.053 2.780 4.674
0.155 0.658 1.473 0.428 2.106 2.776 4.484
0.033 0.899 1.015 1.567 2.494 3.974 7.196
0.040 0.853 0.987 0.421 3.518 4.263 4.830
0.297 0.413 1.644 1.290 1.847 3.300 8.304
0.124 1.749 1.800 3.397 8.732
Note that the max kurtosis has now reduced to 8.732 (from 12.438) and the average has
reduced to 3.397 (from 3.948), compared with an idealized Gaussian value of 3.0.
This apparent “cleaning” of the data is obviously beneficial
18. 10/05/15%
18%
Comparison of PSD Responses
Event 7: PSD’s calculated using CAEfatigue VIBRATION compared to the PSD’s calculated from
the SOL112 von-Mises time histories
Event 8: PSD’s calculated using CAEfatigue VIBRATION compared to the PSD’s calculated
from the SOL112 von-Mises time histories
• Concept – Random Response AND Fatigue Solver
• Simple Implementation (Easy to Adopt)
• More Robust Solutions
• Suitable for Very Large Models
• More Flexible Loads (Mixed Random & Deterministic)
• Can use Multiple Simultaneous Inputs for both direct
(SOL108) and modal (SOL111) analysis
• Elegant Connections to 3rd Party Optimisation Codes
• Test v Analysis Correlation Made Easier With TIME2PSD
Expert System
CAEfatigue VIBRATION Concept at High Level
(a 2nd Generation Frequency Based Fatigue Solver)
36
TIME2PSD Expert System will make
conversion of test data to PSD format easier,
more accurate, and less prone to user
errors
User
Interface
(in V3.0)
CAEfatigue
Vibration
Response
Statistics – FEF,
CSV, H3D
Fatigue Data -
FEF, CSV, H3D Results: Patran FEF,
Hyperview H3D,
Comma Separated CSV
input
Control
Control
File input
36
Nastran
(or other)
Random
Response
Static
Stress File
Dynamic
Stress File
19. 10/05/15%
19%
New Internal CAEFatigue VIBRATION process
Process for N events, each event containing X inputs (time histories)
RPC/text file 1 with
X time histories
RPC/text file 2 with
X time histories
RPC/text file 3 with
X time histories
RPC/text file N with
X time histories
TIME2PSD
Expert System
PSD matrix
file 1
PSD matrix
file 2
PSD matrix
file 3
PSD matrix
file N
TIME2PSD Expert System
Control File Entry
means file
(optional)
rms scaling file
(optional)
• Basic statistics (min, max, mean, std,
skew, kurtosis)
• Spectral moments
• Time period used in averaging (may
not be the same as the total period)
• Number of averages
38
TIME2PSD Control File Entries
SRATE Number of samples in 1 second (real) – then dt = 1/srate. (required).
EVIDST Start ID for events (required).
TABIDST Start ID for VTABRND tables (required).
EVENT_N Number of time history event files (integer > 0) (optional – default = 1).
WINDOW Window function to use (optional – choices Hanning or None - default – Hanning).
This is applied to the “block” of date extracted from the total time signal.
FORMAT Format of time signal files (RPC or CSV) (optional – default = CSV).
MEANS Used to decide if means to be calculated (yes/no) (default = no). Ignored if no
mean stress correction specified. (optional – default = no).
MAXF Max frequency in output (used to over ride the Nyquist frequency when outputting
PSD data) (optional - default = Nyquist).
“filedir” Used to specify the directory where all relevant time history files (of format RPC,
CSV or TXT are located (required).
TS_filedirectory This should correspond to the name of the directory containing the loads.
“mapping” Used to specify format and order of channel data.
skip Number of header lines to skip in an asci file. (optional – default = 0).
TIME2PSD SRATE EVIDST TABIDST EVENT_N WINDOW FORMAT MEANS MAXF
“filedir” TS_filedirectory
"mapping" skip CHAN_N T_UNITS chan1 chan2 chan3 chan4
chan5 chan6 chan7 chan8 chan9 chan10 chan11 cont
"EV_OPTS" EV_NUM NSI RMSI TSMOOTH SF T δ
Load_name
t1 t2 t3 t4 t5 t6 cont
20. 10/05/15%
20%
39
TIME2PSD Control File Entries
CHAN_N Number of channels in event file to use. (optional – needed if all channels are not
used or if mapping is not 1 to 1 etc).
T_UNITS Time units (optional - default = seconds).
chani location in asci input file for channel “i” of data (optional).
“EV_OPTS” Optional Event parameters (one set for each Event).
EV_NUM Number of this Event.
NSI Number of non-stationary intervals for this Event (optional - default = 1).
RMSI Number of rms scaling intervals for this Event (optional - default = 1).
TSMOOTH Number of adjacent time points to be used for temporal smoothing of response PSD
for this Event (optional – default = 1).
SF Scale factor to apply to time signals in this Event before FFT (optional - default = 1).
T Length of window function in time for this Event (real) (auto or T). (required).
δ Overlap or gap in time between windows for this Event (real) (+ means overlap)
(optional - default = 0).
Load_name Name of the loading file used for this event (eg “load.rsp”).
ti,tj Used to specify sections (defined by pairs of time values t1-t2, t3-t4, t5-t6, t7-t8) to
delete from Event files before FFT process is applied (optional – default = none).
TIME2PSD SRATE EVIDST TABIDST EVENT_N WINDOW FORMAT MEANS MAXF
“filedir” TS_filedirectory
"mapping" skip CHAN_N T_UNITS chan1 chan2 chan3 chan4
chan5 chan6 chan7 chan8 chan9 chan10 chan11 cont
"EV_OPTS" EV_NUM NSI RMSI TSMOOTH SF T δ
Load_name
t1 t2 t3 t4 t5 t6 cont
t1
t2
t3
t4
t5
t6
T δ
number of blocks determined by integer((Ttotal/(T-δ))
+1
Conventional example
need an automatic way to calculate T
If number of stationary intervals is greater than 1 then the original samples
would be split into NSI samples and then the whole of the above approach
would be applied independently to each sample.
21. 10/05/15%
21%
!200$
!150$
!100$
!50$
0$
50$
100$
150$
200$
1.99$ 2.09$ 2.19$ 2.29$ 2.39$ 2.49$
!200$
!150$
!100$
!50$
0$
50$
100$
150$
200$
1.99$ 2.09$ 2.19$ 2.29$ 2.39$ 2.49$
t1
t2
T
- δ
number of blocks determined by integer((Ttotal/(T-δ)) +1
SAE575 example
T
- δ
number of blocks determined by integer((Ttotal/(T-δ)) +1
Wrap Up
Frequency domain generally better for dynamics. Both quantitative and
qualitative advantages are well recognised, but until now computational
and technological limitations have restricted use.
New 2nd generation frequency domain random response and fatigue
technology now enables the analysis of large automotive systems to be
undertaken – with associated qualitative and quantitative performance
benefits.
Thank You!