Timezyx

Timezyx

Timezyx showcases Digital Twin Lab at IWSHM 2023

We are delighted to announce that we will be participating in the 14th International Workshop on Structural Health Monitoring (IWSHM 2023), a world-class event that showcases the latest advances and innovations in structural health monitoring. The workshop will take place on September 12-14, 2023, at Stanford University, CA, USA. At the workshop, we will present our latest development in Digital Twin Lab, a state-of-the-art technology platform that creates Structural Digital Twin of structures. Our Digital Twin Lab enables new applications in various domains, such as infrastructure, aerospace, and transportation. By connecting the real world to the digital world using digital twins, we facilitate deeper interaction with the structural models, enable real-time data analysis and anomaly detection, and provide predictive capabilities and preventive maintenance for optimal performance and reliability. We will also present a paper on our novel computation scheme based on the Physics-Informed Neural Networks (PINN) for analyzing reinforced concrete structures. This paper introduces a new, powerful, and efficient method for simulations of reinforced concrete structures using deep learning. We invite you to join us at the conference and learn more about how we are transforming the industry with digital twins. We look forward to seeing you there!

Timezyx showcases Digital Twin Lab at IWSHM 2023

Timezyx showcases Digital Twin Lab at IWSHM 2023

We are delighted to announce that we will be participating in the 14th International Workshop on Structural Health Monitoring (IWSHM 2023), a world-class event that showcases the latest advances and innovations in structural health monitoring. The workshop will take place on September 12-14, 2023, at Stanford University, CA, USA. At the workshop, we will present our latest development in Digital Twin Lab, a state-of-the-art technology platform that creates Structural Digital Twin of structures. Our Digital Twin Lab enables new applications in various domains, such as infrastructure, aerospace, and transportation. By connecting the real world to the digital world using digital twins, we facilitate deeper interaction with the structural models, enable real-time data analysis and anomaly detection, and provide predictive capabilities and preventive maintenance for optimal performance and reliability. We will also present a paper on our novel computation scheme based on the Physics-Informed Neural Networks (PINN) for analyzing reinforced concrete structures. This paper introduces a new, powerful, and efficient method for simulations of reinforced concrete structures using deep learning. We invite you to join us at the conference and learn more about how we are transforming the industry with digital twins. We look forward to seeing you there!

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