Tire Technology International
  • News
    • A-D
      • Appointments
      • Apps
      • Awards
      • Business
      • Certification
      • Components
      • Corporate Social Responsibility
      • Data management
      • Design
      • Distribution
    • E-N
      • Education
      • Factory logistics
      • Headquarters
      • Industry 4.0
      • Investments
      • Machine Vision & Inspection
      • Manufacturing Facilities
      • Materials
      • New tires
    • O-S
      • OE Fitments
      • Partnerships
      • People
      • Regulations
      • Research & Development
      • Retreading
      • Sales facilities
      • Show News
    • S-Z
      • Simulation
      • Sustainability
      • Testing & Analysis
      • Tire Building
      • Tire handling
      • Tire Modeling & Digital Tools
      • Tire Recycling
      • TPMS & Electronics
  • Features
  • Online Magazines
    • July 2023
    • March 2023
    • Annual Showcase 2022
    • November 2022
    • October 2022
    • 年国际轮胎技术年刊
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Events
LinkedIn Facebook Twitter
  • Automotive Interiors
  • Automotive Testing
  • Autonomous Vehicle
  • Automotive Powertrain
  • Professional Motorsport
  • Media Pack
LinkedIn Facebook
Subscribe
Tire Technology International
  • News
      • Appointments
      • Apps
      • Awards
      • Business
      • Certification
      • Components
      • Corporate Social Responsibility
      • Data management
      • Design
      • Distribution
      • Education
      • Factory logistics
      • Headquarters
      • Industry 4.0
      • Investments
      • Machine Vision & Inspection
      • Manufacturing Facilities
      • Materials
      • New tires
      • OE Fitments
      • Partnerships
      • People
      • Regulations
      • Research & Development
      • Retreading
      • Sales facilities
      • Show News
      • Simulation
      • Sustainability
      • Testing & Analysis
      • Tire Building
      • Tire handling
      • Tire Modeling & Digital Tools
      • Tire Recycling
      • TPMS & Electronics
  • Features
  • Online Magazines
    1. March/April 2025
    2. November 2024
    3. Annual Showcase 2024
    4. October 2024
    5. July 2024
    6. March 2024
    7. 年国际轮胎技术年刊
    8. Subscribe Free!
    Featured
    28th April 2025

    In this Issue – March/April 2025

    Online Magazines By Web Team
    Recent

    In this Issue – March/April 2025

    28th April 2025

    In this Issue – November 2024

    11th December 2024

    In this Issue – Annual Showcase 2024

    21st November 2024
  • Opinion
  • Videos
  • Awards
    • Tire Technology International Awards 2025
    • 2024 Winners
    • 2023 Winners
    • 2022 Winners
    • 2020 Winners
    • Previous Winners
  • Supplier Spotlight
  • Events
LinkedIn Facebook
Subscribe
Tire Technology International
Opinion

Why the tread pattern is one of the most difficult tire elements to model virtually

Matt PeskettBy Matt Peskett28th November 20194 Mins Read
Share LinkedIn Twitter Facebook Email
Gregory Smith

In previous columns I’ve discussed some of the challenges that come with modeling the behavior of tires. Expanding on that, one of the single most challenging areas to model is the tread pattern. It’s also one of the most critical areas, as it affects the tire’s handling ability – the single most important performance aspect to get right.

Ultimately, cars are machines for moving stuff about, which requires the generation and control of lateral force – exactly what handling is. Other performance factors are important, but they come afterward. Good ride characteristics, for example, are important in making the driver more comfortable, but that’s less important than actually getting them where they’re going. Other critical factors, including braking, accelerating and steering, all come under handling, since as far as a tire is concerned they are the same thing, just acting in different directions. A vehicle needs good handling characteristics not just in the dry, but also in the wet. This is challenging because predicting how a tire will behave in the wet is really hard.

One reason for this is that while ‘dry’ is clearly defined as a yes/no variable, ‘wet’ is harder to define, and the performance of any given tire in a wide range of conditions is equally variable. The tire could have adhesion, or it could not; it could be aquaplaning, or it could not. It’s all subject to the classic engineering get-out clause of ‘It depends’. It depends on the amount of rain, type of road surface, forward speed, and many other variables.

Ideally, tires would be tested in every one of these conditions and, indeed, tire and vehicle companies go to great expense to do exactly that. However, such ‘great expense’ is problematic when trying to run a business. So the complete tire assessment is usually run only at the end of a development program, to fully check and sign-off the final design. This means that, at final sign-off, the manufacturer must already be very confident that the tire will pass all the safety checks before spending the money to confirm it.

During the development program it would be useful to be able to accurately predict the wet weather performance of a tire without going through the great expense of having to build and test it. That’s where virtual design and simulation tools come in. It’s also where virtual design and simulation engineers age five years in five minutes just from thinking about it.

The reason for this reaction is that for dry handling there is usually no need to explicitly simulate the tread pattern – we don’t typically need to know how much grip each individual tread block is generating. It can be assumed that all the tread blocks are the same and simply model the net result of the whole tread pattern, dramatically reducing the complexity of the simulation.

But this assumption is not valid for wet handling. Aquaplaning is an example. At low speed, all the tread blocks are in contact with the road, but as speed increases, water starts to lift some of the blocks from the road. As speed increases further, all the blocks lift and the tire loses traction almost entirely. This makes it necessary to simulate the behavior of each individual tread block, which adds complexity. In addition to running an already highly complex rotating finite element model, it’s now necessary to run a full fluid dynamics model at the same time! That is really, really hard, so ultimately wet handling simulation remains heavily constrained by available computational resources. Even with advances in computing power we can expect this constraint to continue in the future.

Gregory Smith has worked extensively across the automotive and tire industries, while based in Europe and North America. More information can be found here.

 

Share. Twitter LinkedIn Facebook Email
Previous ArticleConstruction of Cimcorp’s new headquarters timelapse
Next Article JCB sets tractor world speed record with unique tire and wheel package

Related Posts

Opinion

OPINION: Extending tire life with smarter tech – a new chapter for SUVs

2nd May 20255 Mins Read
Opinion

OPINION: EU regulations boost demand for tire-derived pyrolysis oil in chemical recycling

13th March 20255 Mins Read
Opinion

OPINION: Joe Walter recalls his first encounter with TTI

12th December 20235 Mins Read
Latest News

USTMA welcomes move to overturn EPA’s revised NESHAP rules

13th May 2025

Bridgestone debuts 70% recycled and renewable demo tire

13th May 2025

Volkswagen chooses Vredestein winter tire as OE for Tiguan SUV

12th May 2025

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • LAWER S.p.A.
Getting in Touch
  • Contact Us
  • Meet The Editors
  • Download Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
RELATED UKI TOPICS
  • Automotive Interiors
  • Automotive Testing
  • Autonomous Vehicle
  • Automotive Powertrain
  • Professional Motorsport
  • Media Pack
© 2025 UKi Media & Events a division of UKIP Media & Events Ltd
  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy
  • Notice & Takedown Policy

Type above and press Enter to search. Press Esc to cancel.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Cookie settingsACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the ...
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checkbox-necessary1 yearSet by the GDPR Cookie Consent plugin, this cookie records the user consent for the cookies in the "Necessary" category.
elementorneverThe website's WordPress theme uses this cookie. It allows the website owner to implement or change the website's content in real-time.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

CookieDurationDescription
OAGEOsessionOpenX sets this cookie to avoid the repeated display of the same ad.
OAID1 yearCookie set to record whether the user has opted out of the collection of information by the AdsWizz Service Cookies.
test_cookie15 minutesdoubleclick.net sets this cookie to determine if the user's browser supports cookies.
VISITOR_INFO1_LIVE5 months 27 daysYouTube sets this cookie to measure bandwidth, determining whether the user gets the new or old player interface.
YSCsessionYoutube sets this cookie to track the views of embedded videos on Youtube pages.
yt-remote-connected-devicesneverYouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
yt-remote-device-idneverYouTube sets this cookie to store the user's video preferences using embedded YouTube videos.
yt.innertube::nextIdneverYouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.
yt.innertube::requestsneverYouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

CookieDurationDescription
CONSENT2 yearsYouTube sets this cookie via embedded YouTube videos and registers anonymous statistical data.
_ga1 year 1 month 4 daysGoogle Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors.
_ga_*1 year 1 month 4 daysGoogle Analytics sets this cookie to store and count page views.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

CookieDurationDescription
__cf_bm30 minutesCloudflare set the cookie to support Cloudflare Bot Management.

SAVE & ACCEPT
Powered by