Timezyx

Timezyx

We are delighted to announce that we will be participating in the 77th RILEM Annual Week and the 1st Interdisciplinary Symposium on Smart & Sustainable Infrastructures (ISSSI 2023)  a world-class conference that consists of segments bringing together the latest developments in construction materials. It brings researchers and professionals together from the construction industry, to contribute towards the development of the scientific initiatives established within the six RILEM clusters. The conference will take place on September 4 – 8, 2023, in Vancouver, BC, Canada.

We will also present a paper on our latest developments on Structural Digital Twin of corroding concrete structures. This paper introduces a new, powerful, and efficient method for simulations of reinforced concrete structures using deep learning. This paper proposes a closed-loop cyber-physical system for the assessment of existing RC structures, and investigates structural modelling approaches and sensor data suitable for a digital twin of a corroding RC structure. The proposed method, implemented in a lab-scale case study, is discussed and future areas of research are outlined.

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 will be presenting a paper on Structural Digital Twin of concrete structures at RILEM 2023

We are delighted to announce that we will be participating in the 77th RILEM Annual Week and the 1st Interdisciplinary Symposium on Smart & Sustainable Infrastructures (ISSSI 2023)  a world-class conference that consists of segments bringing together the latest developments in construction materials. It brings researchers and professionals together from the construction industry, to contribute towards the development of the scientific initiatives established within the six RILEM clusters. The conference will take place on September 4 – 8, 2023, in Vancouver, BC, Canada.

We will also present a paper on our latest developments on Structural Digital Twin of corroding concrete structures. This paper introduces a new, powerful, and efficient method for simulations of reinforced concrete structures using deep learning. This paper proposes a closed-loop cyber-physical system for the assessment of existing RC structures, and investigates structural modelling approaches and sensor data suitable for a digital twin of a corroding RC structure. The proposed method, implemented in a lab-scale case study, is discussed and future areas of research are outlined.

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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