Obayashi Corporation Begins Evaluating RICOS AI-CAE to Accelerate Building Wind Load Analysis
RICOS and Obayashi Corporation have started evaluating the 'RICOS Lightning' AI-CAE solution for predicting wind loads on buildings. Utilizing the 'IsoGCN' algorithm, the initiative aims to reduce simulation times from days to minutes.
📋 Article Processing Timeline
- 📰 Published: May 19, 2026 at 19:00
- 🔍 Collected: May 19, 2026 at 10:31
- 🤖 AI Analyzed: May 28, 2026 at 16:33 (222h 1m after Collected)
RICOS (Chiyoda-ku, Tokyo; CEO: Yu Ihara) announced today that it has begun a joint evaluation of its AI-CAE solution with Obayashi Corporation (Minato-ku, Tokyo; President and CEO: Toshimi Sato). Obayashi has started testing wind load predictions on buildings using RICOS's AI-CAE solution, 'RICOS Lightning,' which leverages advanced machine learning technology.
Traditionally, wind load evaluation involves wind tunnel experiments or Computational Fluid Dynamics (CFD), both of which face challenges with long analysis times when examining multiple wind directions and building shapes. This evaluation aims to utilize RICOS Lightning to enable multi-faceted condition studies in a short timeframe, streamlining the design process.
Key features of the proprietary 'IsoGCN' algorithm in RICOS Lightning include:
1. Speed: Significant reduction in computational load compared to traditional simulations.
2. 3D Data Handling: Ability to capture complex 3D shapes in detail.
3. Extrapolation Capability: Reliable results for entirely new product shapes by incorporating fluid, thermal, and structural analysis methods.
4. Ease of Use: Eliminates the need for strict meshing tasks, allowing non-experts like designers to utilize simulations effectively.
RICOS has a track record of reducing simulation times from several days to just a few minutes while maintaining accuracy. The technology is already being applied in automotive aerodynamics, thermal analysis of electronic components, and gas thermal-fluid analysis. RICOS aims to realize a world where optimal performance can be designed instantaneously across all manufacturing sectors.
Traditionally, wind load evaluation involves wind tunnel experiments or Computational Fluid Dynamics (CFD), both of which face challenges with long analysis times when examining multiple wind directions and building shapes. This evaluation aims to utilize RICOS Lightning to enable multi-faceted condition studies in a short timeframe, streamlining the design process.
Key features of the proprietary 'IsoGCN' algorithm in RICOS Lightning include:
1. Speed: Significant reduction in computational load compared to traditional simulations.
2. 3D Data Handling: Ability to capture complex 3D shapes in detail.
3. Extrapolation Capability: Reliable results for entirely new product shapes by incorporating fluid, thermal, and structural analysis methods.
4. Ease of Use: Eliminates the need for strict meshing tasks, allowing non-experts like designers to utilize simulations effectively.
RICOS has a track record of reducing simulation times from several days to just a few minutes while maintaining accuracy. The technology is already being applied in automotive aerodynamics, thermal analysis of electronic components, and gas thermal-fluid analysis. RICOS aims to realize a world where optimal performance can be designed instantaneously across all manufacturing sectors.
FAQ
RICOSと大林組の検証の目的は何ですか？
AI-CAEソリューション「RICOS Lightning」を用いて建物の風荷重を予測し、設計工程の効率化を目的とした多角的な条件検討を短時間で実現することを目指しています。
従来の風荷重評価方法にはどのような課題がありましたか？
風洞実験や数値流体解析（CFD）が主に用いられてきましたが、多数の風向や建物形状の検討に伴い、解析時間が長くなるという課題がありました。
RICOS Lightningに搭載されている「IsoGCN」の特長は何ですか？
計算量の削減による高速化、詳細な3Dデータの把握、新しい形状に対する外挿の可能性、および厳密なメッシング作業が不要な容易な操作性の4点が特長です。
シミュレーション時間はどの程度短縮される実績がありますか？
数日かかっていた計算時間を、十分な精度を保ったまま数分にまで短縮した実績があります。
RICOS Lightningは過去にどのような分野で活用されていますか？
自動車の空力特性解析、電子部品の熱解析、ガスの熱流体解析などの適用実績があります。