This thesis deals with asset management of structures through Building Information Modelling (BIM) and Digital Twins. Background: Current inspection and management processes for civil structures are time-consuming and can even be inaccurate. There is an increasingly high potential to improve these processes through recent advances in technology. Digital Twins offer a common platform to these technologies, so they can interact and be used to their optimal performance. Other industries have significantly advanced in the development of Digital Twins, however, in the construction industry there are still many gaps and room for improvement. Aim and objectives: The main aim of this project was to investigate the status of Digital Twins in the construction industry and propose a methodology for a Digital Twin for asset management of structures. The three immediate objectives sought are (i) Perform a literature review to establish the current practice with digital twins, in both construction and other industries, and what are the gaps for asset management of structures; (ii) Participate in a pilot experimental program that yields data to a potential digital twin prototype; and (iii) Define a methodology for a digital twin for asset management of structures which fills the identified gaps. Methods of investigation: A literature review was performed and served as basis for the development of a methodology for a digital twin. A pilot experimental program was defined and performed, and its results were used for BIM and Finite Element (FE) models. A webapp was also created using Autodesk Forge and Java programming language, andthe BIM model was uploaded into it. Results: The literature review provided insight into the maturity level of digital twins, as well as on bridge inspection, maintenance and monitoring, BIM, facility and asset management, and Bridge Management Systems (BMS). A methodology to achieve a digital twin for asset management was proposed, and the conducted experimental program yielded data results to be used in future research. Conclusion: There has been significant progress in technology to improve structural assessment and analysis, however, their full potential is still under-explored. A digital twin created in a common data environment can provide a platform for these technologies to improve efficiency of current practices. Nonetheless, the construction industry is still significantly behind other industries such as aerospace and automotive.

В работе поднимается проблема застройщика, заключающаяся в получении им некачественной цифровой информационной модели (ЦИМ) от подрядных организаций, которые разрабатывают документацию на все стадии жизненного цикла объекта с использованием технологий информационного моделирования. Настоящее исследование проведено с целью создания правил стандартизации и классификации ЦИМ. В ходе работы были проанализированы существующие бизнес-процессы строительной компании, собраны и формализованы требования к цифровым информационным моделям, разработаны классификаторы зданий и сооружений, элементов, материалов. Результатом работы являются документ «Информационные требования Заказчика к разработке BIM-модели (Employer’s Information Requirements)», библиотека элементов ЦИМ, разработанная в соответствии с системой классификации. Также проведено обучение сотрудников застройщика по работе с классификаторами. Это позволит застройщику получать корректные информационные модели, которые можно использовать на всех стадиях жизненного цикла объекта. / The paper raises the problem of the developer, which consists in obtaining a low-quality digital information model (BIM-models) from contractors who develop documentation for all stages of the object's life cycle using information modeling technologies. This study was conducted to create rules for standardization and classification of BIM-models. During the work, the existing business processes of the construction company were analyzed, the requirements for digital information models were collected and formalized, classifiers of buildings and structures, elements, materials were developed. The result of the work is the document "Information requirements of the Customer for the development of a BIM model (Employer's Information Requirements)", a library of BIM-model elements developed in accordance with the classification system. The developer's employees were also trained to work with classifiers. This will allow the developer to obtain correct information models that can be used at all stages of the object's life cycle.

Sustainable performance of buildings has become a major concern among construction industry professionals. However, sustainability considerations are often treated as an add-on to building design, following ad hoc processes for their implementation. As a result, the most common problem to achieve a sustainable building outcome is the absence of the right information at the right time to make critical decisions. For design team members to appreciate the requirements of multidisciplinary collaboration, there is a need for transparency and a shared understanding of the process. The aim of this study is to investigate, model, and facilitate the early stages of Building Information Modelling (BIM) enabled Sustainable Building Design (SBD) by formalising the ad hoc working relationships of the best practices in order to standardise the optimal collaboration workflows. Thus, this research strives to improve BIM maturity level for SBD, assisting in the transition from ad hoc to defined , and then, to managed . For this purpose, this study has adopted an abductive research approach (iterative process of induction and deduction) for theory building and testing. Four (4) stages of data collection have been conducted, which have resulted in a total of 32 semi-structured interviews with industry experts from 17 organisations. Fourteen (14) best practice case studies have been identified, and 20 incidents narratives have been collected applying the Critical Decision Method (CMD) to examine roles and responsibilities, resources, information exchanges, interdependencies, timing and sequence of events, and critical decisions. As a result, the research has classified the critical components of SBD into a framework utilising content and thematic analyses. These have included the definition of roles and competencies that are essential for SBD along with the existing opportunities, challenges, and limitations. Then, Schedules of Services for SBD have been developed for the following stages of the RIBA Plan of Work 2013: stage 0 (Strategic Definition), stage 1 (Preparation and Brief), and stage 2 (Concept Design). The abovementioned SBD components have been coordinated explicitly into a systematic process, which follows Concurrent Engineering (CE) principles utilising Integrated DEFinition (IDEF) structured diagramming techniques (IDEF0 and IDEF3). The results have identified the key players roles and responsibilities, tasks (BIM Uses), BIM-based deliverables, and critical decision points for SBD. Furthermore, Green BIM Box (GBB) workflow management prototype tool has been developed to analyse communication and delivery of BIM-enabled SBD in a centralised system (Common Data Environment, CDE). GBB s system architecture for SBD process automation is demonstrated through Use Case Scenarios utilising the OMG UML (Object Management Group s Unified Modelling Language) notation. The proposed solution facilitates the implementation of BIM, Information Communication Technology (ICT), and Building Performance Analysis (BPA) software to realise the benefits of combining distributed teams expertise holistically into a common process. Finally, the research outcomes have been validated through academic and industrial reviews that have led to the refinement of the IDEF process model and framework. It has been found that collaborative patterns are repeatable for a variety of different non-domestic building types such as education, healthcare, and offices. Therefore, the research findings support the idea that a detailed process, which follows specified communication patterns, can assist in achieving sustainability targets efficiently in terms of time, cost, and effort.