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实例探究 > Trek Bicycle Uses Rescale To Run Cutting Edge Coupled Optimization Analysis

Trek Bicycle Uses Rescale To Run Cutting Edge Coupled Optimization Analysis

技术
  • 分析与建模 - 计算机视觉软件
  • 基础设施即服务 (IaaS) - 云计算
适用行业
  • 消费品
适用功能
  • 产品研发
用例
  • 数字孪生
  • 预测性维护
服务
  • 云规划/设计/实施服务
  • 数据科学服务
挑战
Engineering world-renowned transportation requires high powered computing resources and access to industry-leading software. When internal capacity is reached, and there are tight project deadlines, Trek turns to Rescale to instantly expand their resources. In a recent analysis, Trek engineers ran a complex simulation using CFD tool Star-CCM+ by CD-adapco and optimizer HEEDS by Red Cedar Technology in a coupled analysis on Rescale’s cloud simulation platform. The goal was to study varying bicycle drafting methods to introduce new angles to the existing analysis method.
关于客户
For almost 40 years, Trek Bicycle has believed in a simple mission: build the best bikes in the world. An efficient form of travel, environmental green, and used by athletes, recreationists, and commuters alike, Trek carries a big responsibility to deliver the quality and durability that is associated with the name. Engineering the latest in transportation technology requires significant computing power. Trek leverages Rescale’s cloud simulation platform to build and design competitive and world-changing bicycles.
解决方案
Using Rescale’s predefined optimization workflow, Trek coupled Star-CCM+ and HEEDS software in one simulation and enabled the job to run on 64 high performance computing cores instantly. The initial simulation uses a steady-state Reynolds-averaged Navier-Stokes (RANS) turbulence model to study the aerodynamic impact between several riders. Accessing Rescale’s simulation environment, Trek Bicycle is able to significantly reduce simulation runtime by using the latest HPC resources available in Rescale’s 30+ advanced, global data centers. They can combine simulation software tools without wasting crucial IT personnel and resources, execute multiple simulations in parallel to gain important runtime advantages, and fully explore the experiment to make informed decisions about drafting techniques related to competitive bicycling.
运营影响
  • Instantly accessed over 2TB SSD disk storage using a high performance hardware configuration
  • Ran a complex coupled optimization analysis using Star-CCM+ and HEEDS software
  • Leveraged existing software licenses to reduce simulation costs
数量效益
  • Instantly accessed over 2TB SSD disk storage
  • Ran a complex coupled optimization analysis using Star-CCM+ and HEEDS software
  • Leveraged existing software licenses to reduce simulation costs

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