Architecture Engineers Award

The construction sector is under increasing pressure to reduce energy consumption and carbon emissions while continuing to support rapid urban development. Green building practices have emerged as a key response, but their effectiveness is often limited by fragmented workflows and insufficient integration of sustainability principles across project stages. This study investigates the role of Building Information Modelling (BIM) as an integrated platform for improving energy performance, resource efficiency, and lifecycle sustainability in green building design. BIM as an Integrated Platform for Sustainable Design Building Information Modelling (BIM) enables the creation of data-rich digital representations of buildings, facilitating collaboration among architects, engineers, and stakeholders. Unlike traditional design methods, BIM allows sustainability considerations to be embedded from early design stages through to operation. By integrating energy analysis, material data, and perfo...

Over the past decade, additive manufacturing has significantly transformed the construction industry, enabling the rapid development of 3D printing systems for building applications worldwide. Despite technological progress and increasing industry adoption, limited research has addressed the seismic behaviour of monolithic 3D-printed structures. This gap presents a critical challenge, particularly for regions exposed to seismic hazards. The present study responds to this need by conducting a systematic experimental investigation into the structural and dynamic performance of a full-scale 3D-printed housing unit, aiming to establish foundational knowledge and contribute to seismic design guidance for this emerging construction technology. Mechanical Characterisation of 3D-Printed Materials The research begins with an extensive mechanical characterisation of the printed material to understand its structural properties and anisotropic behaviour. Preliminary experimental tests, includin...

The construction sector continues to struggle with long-standing challenges related to low productivity, limited innovation, and fragmented organizational structures. While Artificial Intelligence (AI) presents significant opportunities for transformation under the paradigm of Smart Buildings and Construction 4.0 (SBC4.0), its implementation at the organizational level remains insufficiently understood. This study addresses this gap by examining how construction firms adopt AI and the organizational forces shaping these decisions. Theoretical Foundations for AI Implementation The research develops an integrated theoretical framework drawing on institutional theory, the resource-based view, and dynamic capabilities. Institutional theory explains how external pressures influence organizational behavior, while the resource-based view and dynamic capabilities highlight the internal assets and adaptive capacities required for AI adoption. Together, these perspectives provide a comprehens...