― Recognition technology of prognostic change in civil engineering
to respond to uncertain environment ―
Web page: https://phmap.jp/submission-os-list/
Outline
In this session, as an enabler of sustainable use in the civil engineering and architectural structures, we will address monitoring the state of structures and attempt to induce innovation in science and technology that focuses prognostic changes over time. For example, we should consider various structures such as buildings, bridges, tunnels, railways, dams, rivers, sewers, and landslides.
From a manager point of view, we aim to solve problems such as predictive maintenance and anomaly detection in daily inspections. In case of natural disaster, we would address earthquake/flood risk assessments, business continuity management and deterioration assessments.
Recent digital infrastructure has been required for the prognosis of deterioration of aging structures, inspections and forecasts. We will collaborate on practical methodology and share experimental empirics based on prognosis support technology and optimization of repair and renewal.
We discuss the deployment of digital infrastructure, practical technology that recognizes prognostic changes and anomalous deformation, visualization of damage scoring indicators for structural monitoring, and opportunities for research and development.
In detail to web page: https://phmap.jp/submission-os-list/
