• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, February 7, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News

Understanding and predicting snow behavior

Bioengineer by Bioengineer
March 1, 2017
in Science News
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Engineers from the University of Luxembourg are working together with scientists from the WSL Institute for Snow and Avalanche Research SLF in Switzerland to better analyse mechanical properties of snow. The project has the goal to develop a computer model that can help solving typical snow-related engineering problems. The model could, for example, be used to anticipate avalanches, to determine the load on buildings caused by snow or calculate the traction of vehicles on snow-covered surfaces by predicting the behaviour of snow.

After having studied various flood scenarios, developed an innovative mathematical method to simulate the flow of debris and predicted its mechanical impact on buildings and structures, Bernhard Peters, professor of Thermo- and Fluiddynamics and head of the LuXDEM research team at the Faculty of Science, Technology and Communication (FSTC), has extended his research activities to snow simulations.

Prof. Peters with his research team are now developing a model that calculates the properties and behaviour of snow masses under high and low strain rates based on the structure of microscopic snow particles. "Such a model has several advantages compared to traditional snow models. First, our model can directly factor in microstructural information. Second, it includes contacts and bonding between the snow grains. Third, it can explicitly account for the large displacements and rearrangement of the snow grains during deformation. Hence, this particle model explicitly includes all the relevant physical micro-scale processes", explains Bernhard Peters.

In order to validate this new model, Professor Peters involved field experts from one of the world-renowned institutes in snow research, namely the WSL Institute for Snow and Avalanche Research SLF, based in Davos Dorf, Switzerland. "The project combines complementary expertise of the two involved research groups with Luxembourg being an expert in discrete element modelling and Switzerland in the tomographic investigation and experimental measurement of snow characteristics", adds Prof. Peters.

The bi-national project was officially launched at a kick-off meeting on 8 December 2016 and is funded by the Fond National de la Recherche Luxembourg (FNR) and the Swiss National Science Foundation (SNSF) for a period of 3 years.

###

Media Contact

Thomas Klein
[email protected]
352-466-644-5148
@uni_lu

http://www.uni.lu

############

Story Source: Materials provided by Scienmag

Share12Tweet8Share2ShareShareShare2

Related Posts

Boosting Remote Healthcare: Stepped-Wedge Trial Insights

February 7, 2026

Barriers and Boosters of Seniors’ Physical Activity in Karachi

February 7, 2026

Evaluating Pediatric Emergency Care Quality in Ethiopia

February 7, 2026

TPMT Expression Predictions Linked to Azathioprine Side Effects

February 7, 2026
Please login to join discussion

POPULAR NEWS

  • Robotic Ureteral Reconstruction: A Novel Approach

    Robotic Ureteral Reconstruction: A Novel Approach

    82 shares
    Share 33 Tweet 21
  • Digital Privacy: Health Data Control in Incarceration

    63 shares
    Share 25 Tweet 16
  • Study Reveals Lipid Accumulation in ME/CFS Cells

    57 shares
    Share 23 Tweet 14
  • Breakthrough in RNA Research Accelerates Medical Innovations Timeline

    53 shares
    Share 21 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Boosting Remote Healthcare: Stepped-Wedge Trial Insights

Barriers and Boosters of Seniors’ Physical Activity in Karachi

Evaluating Pediatric Emergency Care Quality in Ethiopia

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 73 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.