Malsane, S M (2015) The application of automated rule checking to existing UK building regulations using BIM technologies. PhD thesis, University of Northumbria at Newcastle, UK.
Abstract
Building designs in countries like the United Kingdom are currently checked manually against a frequently changing and increasingly complex set of building regulations. It is a major task for designers and those bodies that are charged with enforcing building regulations. As a result, there can often be ambiguity, inconsistency in assessments and delays in the overall construction process. This scenario indicates the need for automated building regulation compliance checking, which is an easier and valid option. As part of this, a critical review is carried out of the building code compliance checking related efforts undertaken in different countries, including Australia, Singapore, Australia, Norway and USA. Furthermore, it is determined that the use of Building Information Models (BIM) and the Industry Foundation Class (IFC) standard is imperative for automated compliance checking in England and Wales. Most of the initiatives mentioned above focuses on creating object based rules and mapping the entities encapsulated within them to the international building model schema. The schema is designed to support the needs of an international user and takes little consideration of national semantics (e.g.UK practice and culture). Hence, the research focuses on creating UK building regulation specific data model schema. The analysis of Part-B1 through knowledge formalisation has resulted in identification of over 120 semantic entities. Using the output, a Part-B1 data model schema has been developed using EXPRESS-G language. Thus, an England and Wales building regulation specific, semantically rich, object model schema appropriate for the requirements of automated compliance checking has been developed. The data model schema development results into a document modeling method. This method was developed in a manner such that it would be applicable to model any building regulation technical document. The development of a document modeling method acts as a contribution to the knowledge as building experts, rule authors and computer programmers can use it for data modeling. The said methodology was implemented on a sample legislative document to validate its usefulness. Also through the research work, concepts such as knowledge formalisation and a clause filter system were coined and successfully utilised to overcome the issues related to unsuitability of building regulations. This work accounts as a contribution to knowledge due to its novelty. A clause filter system was developed primarily to extract appropriate information suitable for automated compliance checking. On the basis of various key findings, a detailed framework for automated compliance checking of the UK building regulations is delivered through the research work.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Lockley, S and Matthews, J |
| Uncontrolled Keywords: | culture; building design; building information model; building regulation; compliance; regulation; designer; Australia; England; Norway; Singapore; UK; United Kingdom |
| Index terms: | Norway, United Kingdom, compliance, building code, Wales, regulation, methodology, data model, mapping, construction process, designer, Australia, semantics, Singapore, England, building regulation, building design, option, data modelling, modelling, industry foundation classes |
| Subjects: | profession, data science, political science, regulatory law, decision analysis, computational design, analytical methods, architectural design, health safety and environment, Geography, research methods, spatial and geospatial analysis, building construction |
| Topics: | Research Practice, Governance, Roles and Professions, Design Practice, Digital Applications, Site Management, Geographical Context, Engineering Principles, Health and Safety, Risk Management, Legal Issues |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here