CHECKWIND v8.0.0 released

CHECKWIND v8.0.0 is now live and can be downloaded here. New features and enhancements include:

  • STRUCTURE: BUILDING and TOWER structure types can now be oriented in 11.25 degree increments.
  • SITE: Basic Wind Speeds to ASCE 7-16, ASCE 7-22LRFD LTS-1, TIA-222-H and TIA-222-I are now sourced directly from ASCE 7 Hazard Tool.
  • SITE: Introduction of automated wind analysis to MS 1553-2002 (Malaysia).
  • SITE: Introduction of automated wind analysis to Telecommunications Industry Association Standard TIA-222-I.
  • SITE: Introduction of automated wind speeds to CIRSOC 102-05 (Argentina).
  • SITE: Introduction of automated wind speeds to NBR 6123 (Brazil).
  • SITE: Introduction of automated wind speeds to NCH 432-2010 (Chile).
  • SITE: Introduction of automated wind speeds to NBC-2006 (Nigeria).
  • SITE: Introduction of automated wind speeds to SBC 301 (Saudi Arabia).
  • SITE: Introduction of automated wind speeds to UNIT 50:84 (Uruguay).
  • SITE: Introduction of a brand new Terrain Class detection algorithm utilising machine learning to AS 4055-2012 and AS 4055-2021.
  • SITE: Introduction of a brand new Terrain Category detection algorithm utilising machine learning to AS/NZS 1170.2-2011, AS/NZS 1170.2-2021 and MS 1553-2002 (refer Image 1).
  • SITE: Improved Topographic Multiplier (Mt) detection to AS/NZS 1170.2-2011 and AS/NZS 1170.2-2021.
  • SITE: Introduction of a brand new Terrain Category (Ce) detection algorithm utilising machine learning to CSA S37-18.
  • SITE: Introduction of a brand new Exposure Coefficient (ce) detection algorithm utilising machine learning to EN 40.
  • SITE: Introduction of a brand new Exposure Category detection algorithm (including open patches) utilising machine learning to ASCE 7-16, ASCE 7-22LRFD LTS-1, NSCP 2015, TIA-222-H and TIA-222-I (refer Image 2).
  • SITE: Introduction of automatic directional Velocity Pressure Coefficient (Kz) averaging and transition zone analysis to ASCE 7 Section C26.10.
  • SITE: Specify shielding structures of any shape to AS 4055-2012, AS 4055-2021, AS/NZS 1170.2-2011, AS/NZS 1170.2-2021 and MS 1553-2002.
  • SITE: Improved Topographic Factor (Kzt) detection to ASCE 7-16, ASCE 7-22LRFD LTS-1, NSCP 2015 and TIA-222-H.
  • ANALYSIS: Specify RL maximum increment spacing for returned wind parameters to provide more granularity.

2 comments

  1. Sam says:

    Hi Chris,

    Are you able to shed some light on the representation of the colours as shown in Image 1? Where can we find more information on Machine Learning, and how does it impact on the wind speed design etc. for this update (V8.0.0).

    Thanks.

  2. Hi Sam,

    Thanks for getting in touch. There colours represents the types of terrain detected by the algorithm. This isn’t a complete list, but they vary from blue (water), brown (sand), light green (open space), yellow (crops), dark green (woodland), purple (suburban), and through to red (city centre).

    The machine learning functionality is intended to generate more accurate wind assessments, particularly in regional locations where our previous detection algorithm would sometimes come unstuck as we were dependent on third-party data sources.

    Cheers,
    Chris

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