Digital model data distribution in civil engineering contracts
MetadataShow full item record
Purpose – The use of digital-models to communicate civil-engineering design continues to generate debate; this pilot-work reviews technology uptake towards data repurposing and assesses digital (vs traditional) design-preparation timelines and fees for infrastructure. The paper aims to discuss these issues. Design/methodology/approach – Extending (building-information-modelling) literature, distribution-impact is investigated across: quality-management, technical-applications and contractual liability. Project case-study scenarios were developed and validated with resultant modelling-application timeline/fees examined, in conjunction with qualitative semi-structured interviews with 11 prominent stakeholder companies. Findings – Results generated to explore digital-model data-distribution/usage identify: an 8 per cent time/efficiency improvement at the design-phase, and a noteworthy cost-saving of 0.7 per cent overall. Fragmented opinion regarding modelling utilisation exists across supply-chains, with concerns over liability, quality-management and, the lack of Australian-Standard contract-clause(s) dealing directly with digital-model document hierarchy/clarification/reuse. Research limitations/implications – Representing a small-scale/snapshot industrial-study, findings suggest that (model-distribution) must emphasise checking-procedures within quality-systems and, seek precedence clarification for dimensioned documentation. Similarly, training in specific file-formatting (digital-model-addenda) techniques, CAD-file/hard-copy continuity, and digital-visualisation software, can better regulate model dissemination/reuse.Time/cost savings through digital-model data-distribution in civil-engineering contracts are available to enhance provision of society’s infrastructure. Originality/value – This work extends knowledge of 3D-model distribution for roads/earthworks/ drainage, and presents empirical evidence that (alongside appropriate consideration of general-conditions of- contract and specific training to address revision-document continuity), industry may achieve tangible benefits from digital-model data as a means to communicate civil-engineering design.
Showing items related by title, author, creator and subject.
Love, Peter; Lopez, R.; Kim, J.; Kim, M. (2014)The statistical characteristics of design error rectification costs experienced in 139 Australian construction projects are analyzed. Theoretical probability distributions are fitted to the design error cost data. A ...
Estimating construction contingency: Accommodating the potential for cost overruns in road construction projectsLove, Peter; Sing, C.; Carey, B.; Kim, J. (2015)© 2014 American Society of Civil Engineers. The determination of a project's cost contingency is a pervasive problem as the amount that is incorporated into an estimate is invariably insufficient to accommodate a project's ...
Chen, Q.; Xia, B.; Jin, Z.; Wu, Peng; Hu, Y. (2016)For design-build (DB) projects, owners normally use lump sum and guaranteed maximum price (GMP) as the major contract payment provisions. However, there was a lack of empirical studies to compare the project performance ...