HyperWorks shapeAI 使模型内的模式和形状识别自动化成为可能, 使用户能够选择所有相似的形状并同时编辑它们. 它使用集群对部件进行分组, allowing the user to model a small number of groups rather than a large number of individual parts.

shapeAI contains automatic feature extraction for the specified geometry itself without any additional input or intervention. Combining these features with ML algorithms in HyperWorks’ matching tools puts the power of geometric ML at the fingertips of every user. shapeAI can be used to organize components of complex models by geometric similarity so that modifications to one part can be synchronized to all.

Reduced-order models (ROMs) are useful for incorporating detailed 3D simulation into a more computationally efficient 1D environment for system-level study. 这样的仿真工具 巴黎人官方app®EDEM™ or 巴黎人官方appCFD™ 允许对时变非线性系统进行详细的研究, 但由于模拟运行时间较长, 分析通常集中在组件或子系统上. 然而，在一个完整的系统模拟的情况下, it is often sufficient to reduce component behavior to its interaction with the complete system, 改进求解器运行时间，同时仍然提供足够准确的结果.

利用巴黎人官方app的romAI人工智能工具, 三维模拟可以作为生成动态rom的训练数据. 只需要少量的3D模拟运行, 因为这种方法比传统的数据驱动方法需要更少的训练数据. romAI can work with any solver and produces highly accurate results when operating within the training space and is even stable and useful for extrapolation outside the space. The same ML technique can also be used for system identification purposes when starting from test data.

数字双胞胎帮助组织优化产品性能, 了解产品的使用寿命, 知道何时何地进行预测性维护, 了解如何延长产品的剩余使用寿命(RUL). The Altair digital twin integration platform blends physics- and data-driven twins to support optimization throughout the products lifecycle. 我们有一个完整的, 开放, 灵活的方法，使您的数字转型愿景符合您的条件.

物理基础, 模拟驱动的数字孪生杠杆标准化, 工具独立的接口，如功能模拟接口(FMI), 基于几何的三维CAE工具的联合仿真方法, and reduced order modeling approaches to derive low fidelity models from detailed simulations. 数据驱动的双胞胎使用ML算法和数据科学优化产品性能. 从这个角度看问题能让你更快, real-time insights about the status of the product then make the appropriate operational adjustments to improve the life of the product and avoid failures.