This paper proposes a digitally twinned experimental analysis of a scale‐reduced laboratory‐sized steel cable net subjected to vertical loading. The test is aimed at establishing automated pipelines of information and analysis between the measurements (displacements of nodes) and the numerical model of the cable net, which are seamlessly interconnected through a BIM model. These automated pipelines erect the frame of the development of a digital twin of the cable net with structural analysis purposes. For the sake of measurements, a terrestrial laser scanner is used. Displacements of the nodes are extracted using computational geometry tools. For the sake of analysis, a data‐based numerical model is proposed to obtain the tensile state of the cables. Precisely understanding the force distribution along nets is a challenge at design, construction and operation stages. This research belongs to a vaster project related to the development of automated pipelines of information for European infrastructure in the form of digital twins. The outcome of this laboratory test results is of great use when developing similar automated pipelines of information in real sites including cable nets in roofs.

A composite bridge located in the Metropolitan Area of Barcelona represents one of the sites for demonstrating the capabilities of digital twins on maintenance of built assets. Digital twins can be deemed to as digital living replica of the physical one that provides real time information throughout adequate connectivity (sensors, images, remote sensing) and provides automated visualization of the asset for decision‐making purposes (performance indicators that are assessed regularly). This demonstrator is an 846 meters long composite bridge with plates and a concrete slab. The plates are tapered along a portion of its length. The bridge is horizontally curved with a bifurcation at its end. One of the challenges in this demonstrator is to reproduce realistically the “as built” shape of the plates using a terrestrial laser scanner for simulation purposes. The outcome of this specific side of the digital twinning (other sides also include many sensor‐ and image‐based methods) is of great interest for maintenance managers. Understanding the real configuration of the asset represents an accurate starting point for subsequent modelling.