Building Information Modeling

Building Information Modelling (BIM) concepts and workflows continue to proliferate within organisations, through project teams, and across the whole construction industry. However, both BIM implementation and BIM diffusion are yet to be reliably assessed at market scale. Insufficient research has been conducted to date towards identifying the conceptual structures that would explain and encourage large-scale BIM adoption. This paper introduces a number of macro-adoption models, matrices and charts (Fig. 1). These models can be used to systematically assess BIM adoption across markets, and inform the structured development of country-specific BIM adoption policies.

This research is published in two complementary papers combining conceptual structures with data collected from experts across a number of countries. The first paper “Macro-BIM adoption: conceptual structures” delimits the terms used, reviews applicable diffusion models, and clarifies the research methodology. It then introduces five new conceptual constructs for assessing macro-BIM adoption and informing the development of market-scale BIM diffusion policies. The second paper “Macro-BIM adoption: comparative market analysis” employs these concepts and tools to evaluate BIM adoption and analyse BIM diffusion policies across a number of countries. Using online questionnaires and structured interviews, it applies the models, refines the conceptual tools and develops additional assessment metrics. The two papers are complementary and primarily intended to assist policy makers and domain researchers to analyse, develop and improve BIM diffusion policies.

Building Information Modeling (BIM) tools and workflows have the potential to significantly improve the efficiency of design, construction and operation activities. Numerous BIM deliverables and their respective requirements have been widely discussed by industry stakeholders. This is evidenced by the intensity of online communications surrounding BIM topics and the accelerating availability of noteworthy BIM publications (NBP)s. NBPs are publically-available industry documents incorporating guidelines, protocols and requirements focusing on BIM deliverables and workflows. These publications are the product of various governmental bodies, industry associations, communities of practice and research institutions, intended to facilitate BIM adoption, and realize BIM’s value-adding potential.
A specialized taxonomy is employed to analyze 57 noteworthy BIM publications from across eight countries selected for their active BIM scene. The BIM knowledge content (BKC) taxonomy includes three knowledge content clusters (guides, protocols and mandates) subdivided into 18 knowledge content labels (e.g. report, manual, and contract). Ten of these content labels are used to analyze and compare publications from Australia, Denmark, Finland, the Netherlands, Norway, Singapore, the United Kingdom, and the United States. Preliminary content analysis is then performed which provides insight into the availability and distribution of BIM knowledge within noteworthy BIM publications. The analysis identifies knowledge gaps within publications and highlights opportunities for future research and complementary publication efforts.
This chapter contributes to organizing BIM knowledge as contained within numerous noteworthy BIM publications and – by that - facilitates targeted access to their content. It provides a knowledge repository for construction industry stakeholder’s to utilize during BIM implementation and a research base for investigators seeking to identify and address knowledge gaps across the BIM domain.

The term Building Information Modelling (BIM) refers to an expansive knowledge domain within the design, construction and operation (DCO) industry. The voluminous possibilities attributed to BIM represent an array of challenges that can be met through a systematic research and delivery framework spawning a set of performance assessment and improvement metrics. This article identifies five complementary components specifically developed to enable such assessment: (i) BIM capability stages representing transformational milestones along the implementation continuum; (ii) BIM maturity levels representing the quality, predictability and variability within BIM stages; (iii) BIM competencies representing incremental progressions towards and improvements within BIM stages; (iv) Organizational Scales representing the diversity of markets, disciplines and company sizes; and (v) Granularity Levels enabling highly targeted yet flexible performance analyses ranging from informal self-assessment to high-detail, formal organizational audits. This article explores these complementary components and positions them as a systematic method to understand BIM performance and to enable its assessment and improvement. A flowchart of the contents of this article is provided.

Building Information Modelling (BIM) is a set of technologies, processes and policies enabling multiple stakeholders to collaboratively design, construct and operate a facility.
There are numerous challenges attributed to BIM adoption by industry and academia. These represent a number of knowledge gaps each warranting a focused investigation by domain researchers. This study does not isolate a single gap to address but espouses a holistic view of the knowledge problem at hand. It contributes to the discussion a set of conceptual constructs that clarify the knowledge structures underlying the BIM domain. It also introduces a number of practicable knowledge tools to facilitate BIM learning, assessment and performance improvement.
This study is delivered through complementary papers and appendices to answer two primary research questions. The first explores the knowledge structures underlying the BIM domain whilst the second probes how these knowledge structures can be used to facilitate the measurement and improvement of BIM performance across the construction industry.
To address the first question, the study identifies conceptual clusters underlying the BIM domain, develops descriptive taxonomies of these clusters, exposes some of their conceptual relationships, and then delivers a representative BIM framework. The BIM framework is composed of three-axes which represent the main knowledge structures underlying the BIM domain and support the development of functional conceptual models.
To address the second question, BIM framework structures are extended through additional concepts and tools to facilitate BIM performance assessment and development of individuals, organizations and teams. These additional concepts include competency sets, assessment workflows and measurement tools which can be used to assess and improve the BIM performance of industry stakeholders.
In addressing these research questions, a pragmatic approach to research design based on available literature and applicable theories has been adopted. By combining several research strategies, paradigms and methods, this study (1) generates several new conceptual structures (e.g. frameworks, models and taxonomies) which collectively clarify the knowledge structures underlying the BIM domain; and (2) develops a set of workflows and tools that facilitate BIM assessment, learning and performance improvement.
This study delivers an extendable knowledge structure upon which to build a host of BIM performance improvement initiatives and tools. As a set of complementary papers and appendices, the study presents a rich, unified yet multi-layered environment of conceptual constructs and practicable tools; supported by a common framework, a domain ontology and simplified visual representations. Individually, each paper introduces a new framework part or solidifies a previous one. Collectively, the papers form a cohesive knowledge engine that generates assessment systems, learning modules and performance improvement tools.

This article presents the development of an Augmented Reality (AR) application to assist in the assembly of a precast wood-frame wall, based on the BIM model of the wall execution sequence. The research study used the Design Science Research approach and its aim was to develop an AR application named “montAR” (version 2.0). This application offers a tutorial that combines a wall model visualized in AR in actual scale, followed by an audio with step-by-step instructions of the assembly process. Its applicability was simulated in a laboratory with the participation of volunteers (architecture and engineering students). Two visualization gadgets were used and compared: smartphones and smart glasses. The potentialities and difficulties of the use of the AR system were assessed through a questionnaire answered by the participants and through direct observation and result analysis by the researchers. The results demonstrated the potential of using AR for precast wall assembly. From a technological innovation perspective, this study emphasizes the potential use of AR as a technology suitable for training and for construction quality control.

The light pipes are innovative devices able to transport and distribute natural light without heat transfer in dark rooms. There are a lot of natural lighting applications able to predict the behaviour of light in a room through a traditional opening. Only few of them are able to model complex systems such as daylight guidance systems. Added to this, they seem to provide disparate and inconsistent results with respect to the actual performance of light pipes. The purpose of this publication is to present the approach undertaken and the results obtained to highlight the problem. To do this, a survey of the different programs has been carried out internationally to model tubular devices. Then, an inter-software comparative analysis was implemented for some of the applications listed. In order to assess the accuracy of numerical results, the results of an experiment - 1:1 scale and in real weather conditions - were used as references to evaluate the chosen applications. We saw that the various selected programs tend to overestimate or underestimate the real phenomenon. The use of an experimental database permitted to put forward the most efficient applications. These results support the future goal to develop a new model. Future prospects of our study that can emerge are mainly based on the introduction of a new model for predicting the performance of light pipes and its integration in two software products developed within laboratory: CODYRUN (a multi-zone software integrating thermal building simulation, airflow transfers, lighting and pollutants) and HEMERA (a daylighting analysis software).

Las zonas urbanas se han convertido hoy en día en entidades complejas multidimensionales donde habita más del 50% de la población mundial (UN-Habitat WCR, 2016). Paralelamente, el desarrollo de las ciudades presenta un aumento considerable en el rol de los datos y la información, por lo que el establecimiento de vínculos – apoyados en Big Data – entre la escala edificatoria y los modelos urbanos puede proporcionar a las administraciones un marco sólido en el que planear el crecimiento sostenible de las ciudades para las próximas décadas. Así, la recopilación de datos, su conversión a información útil y la aplicación inteligente de ésta a través del conocimiento permitirá que futuras acciones urbanas se cimienten sobre las bases más sólidas de las que podamos disponer.

The main objectives of this paper are to evaluate the modeling effort associated with generating building information modeling (BIM) at different levels of detail (LoD) and the impact of LoD in a project in supporting mechanical, electrical and plumbing (MEP) design coordination. Results show an increase in total modeling time ranging from doubling the modeling effort to eleven folding it, when going from one LoD to another. When comparing modeling time per object, rates ranged from 0.2 (decreased modeling time) to 1.56 (increased modeling time). Based on the experiments done in MEP design coordination, it was observed that the automatic clash detection process using BIMs, with its consistently higher recall rate, provides a more complete identification of clashes, with the cost of false positives (low precision). This study showed that additional modeling effort can lead to more comprehensive analyses and better decision support during design and construction.

Computer Aided Design software and their kind are generally considered as Building Information Modelling (BIM) tools; moreover the sophistication level of one determines its maturity level. Education and research are the background to innovation while training is a window to continuity in skills transfer. The BIM uptake in the developing countries is significantly lagging behind; amongst various reasons is the lack of trained professionals. Experts are evolving from the industry professionals who are first trained in the university. This study determined the capacity of Nigerian universities in providing BIM tools training for BIM adoption in Architecture, Engineering and Construction (AEC). The study is quantitative in nature, with the primary data collected through a structured questionnaire survey within the built environment and engineering schools of Nigerian universities. The collected data were analysed using descriptive statistics. The institutions are physically ready with ...