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Digitisation for the purposes of recording cultural heritage and its condition is conventionally associated with the task of documentation for conservation. Occasionally emergency recording will anticipate the potential imminent destruction of heritage at risk. By contrast here, although the heritage status of the site whilst proposed in the 1990s, it was never secured yet the closure and eventual dismemberment of the buildings is a plan that is already underway. The coal washeries of Onllwyn sit within a vast landscape that is now most widely recognised as a National Park. During the last century, however, it was a thriving industrial site. The assembly of buildings used to wash and sort coal prior to distribution were recorded using a terrestrial laser scanner and an aerial drone in August 2022 shortly prior to the closure of a site that had been part of a changing industrial landscape since the mid-nineteenth century. As part of a wide agreement to build a historic narrative for a once large industrial site with a planned closure a comprehensive historical review has been built. This included the acquisition of historic maps but also of numerous historical aerial and terrestrial photographs as well as the collation of films and oral histories. Here pointclouds generated from terrestrial laser scans, photogrammetry from drone imagery and photogrammetry from historical aerial images have been combined in an attempt to create a navigable digital backdrop to the decommissioning of a vast industrial landscape as it anticipates a new future. The aim of the models created is to provide a virtual spatial platform to co-locate memories of a community life that is left centred around a lost place of work.

This paper proposes a design for libraries of European Classical architectural elements based on shape grammars. This design is based on a workflow which develops library objects from 3D CAD primitives using architectural rules to construct parametric representations of architectural elements. In the case of Classical architecture, the design and detail for the parametric objects are based on manuscripts ranging from Vitruvius to Palladio to the architectural pattern books of the eighteenth century. The generation of 3D objects for virtual reconstruction necessitates the application of computer algorithms and rules introduced by the user to generate objects, buildings and spaces from a grammar and vocabulary of shapes. Both the use of graphicly constructed and coded parametric libraries in formal and open-source platforms will be considered here.

The driving forces behind the rapid development of accessible 3d modelling acquisition are generally economic. As the requirements for on-site data acquisition technology become cheaper and more user friendly, opportunities for the geographic dislocation of expertise become more viable. In effect, much of the diagnosis of a monuments’ morphology or condition can be made remotely, as a virtual model is constructed. This potential portability serves to reduce the impact, invasiveness and cost of survey and documentation processes. In cases of contested heritage conservation practices, the simple act of photographic recording can cause concern. However, photogrammetric recording is eminently advantageous for its capacity to provide non-destructive means to consider degradation and condition mapping as well as to record and monitor change over time. Here, two rapid surveys taken with portable 360° cameras a year apart, demonstrate the potential value and limitations of deploying recent techniques in order to deliver credible or useful survey data in a highly complex pillared hall that is intensively occupied.

Building on the richness of recent contributions in the field, this paper presents a state-of-the-art CNN analysis method for automating the recognition of standardised building components in modern heritage buildings. At the turn of the twentieth century manufactured building components became widely advertised for specification by architects. Consequently, a form of standardisation across various typologies began to take place. During this era of rapid economic and industrialised growth, many forms of public building were erected. This paper seeks to demonstrate a method for informing the recognition of such elements using deep learning to recognise ‘families’ of elements across a range of buildings in order to retrieve and recognise their technical specifications from the contemporary trade literature. The method is illustrated through the case of Carnegie Public Libraries in the UK, which provides a unique but ubiquitous platform from which to explore the potential for the automated recognition of manufactured standard architectural components. The aim of enhancing this knowledge base is to use the degree to which these were standardised originally as a means to inform and so support their ongoing care but also that of many other contemporary buildings. Although these libraries are numerous, they are maintained at a local level and as such, their shared challenges for maintenance remain unknown to one another. Additionally, this paper presents a methodology to indirectly retrieve useful indicators and semantics, relating to emerging HBIM families, by applying deep learning to a varied range of architectural imagery.

This paper explores the potential for digital surveys to mediate as tools in a complex arena. As increased wealth and continuous religious practice have supported the energetic maintenance and renovation of temple buildings in Tamil Nadu justified by reference to ancient texts, UNESCO commissioned a fact-finding mission regarding conservation practice there in 2016. As part of wider project to investigate the strands of inherited textual guidance in this sensitive area, digital documentation methods are being tested in terms of their capacity to provide a locus for discourse between divergent views at a time of rapid formulation of policy documents that seek to offer guidelines for the conservation of an estimated 38000 temple buildings in the state. This paper outlines some challenges and ambitions of creating digital platforms to serve such an endeavour through potential scenarios offered by two case studies. Specifically, it considers the merits of tools to read urban encroachment, to identify change over time and to explore a means to provide a hypothetical platform for discussion of potentially sensitive adjustments.

Caerphilly Castle (1268-70) is the first concentric castle in Britain and the second largest in the UK. The dramatic inclination of its ruinous south west tower has been noted since 1539. Comparing data from historical surveys and a terrestrial laser scan undertaken in 2015, this paper seeks to review evidence for the long-term stability of the tower. Digital documentation and archival research by architects is collated to provide data for structural analysis by engineers. A terrestrial laser scan was used to create a detailed three dimensional finite element model to enable structural analysis of the current shape of the tower made by tetrahedral elements. An automated strategy has been implemented for the transformation of the complex three dimensional point cloud into a three dimensional finite element model. Numerical analysis has been carried out aiming at understanding the main structural weaknesses of the tower in its present condition. Comparisons of four sets of data: 1539, 1830, 1870 and 2015 enabled us to determine change albeit between very different methods of measurement.