On-demand generation of as-built infrastructure information models for mechanised Tunnelling from TBM data: A computational design approach

Getuli, Vito; Capone, Pietro; Bruttini, Alessandro; Rahimian, Farzad Pour

doi:10.1016/j.autcon.2020.103434

Cited by 33 publications

(11 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A BIM is a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life cycle; defined as existing from earliest conception to demolition" [1]. BIM has been widely applied in the construction industry, and its established approaches and innovations showed tremendous potential to be highly recommended to the tunnel industry (Costin et al, 2018;Kontothanasis et al, 2019;Ninic et al, 2020;Ehrbar et al, 2020;Getuli et al, 2021).…”

Section: Building Information Model In Tunnellingmentioning

confidence: 99%

Optimisation of geotechnical surveys using a BIM-based geostatistical analysis

Mahmoudi

Stepien

König

2021

SASBE

View full text Add to dashboard Cite

PurposeA principle prerequisite for designing and constructing an underground structure is to estimate the subsurface's properties and obtain a realistic picture of stratigraphy. Obtaining direct measure of these values in any location of the built environment is not affordable. Therefore, any evaluation is afflicted with uncertainty, and we need to combine all available measurements, observations and previous knowledge to achieve an informed estimate and quantify the involved uncertainties. This study aims to enhance the geotechnical surveys based on a spatial estimation of subsoil to customised data structures and integrating the ground models into digital design environments.Design/methodology/approachThe present study's objective is to enhance the geotechnical surveys based on a spatial estimation of subsoil to customised data structures and integrating the ground models into digital design environments. A ground model consisting of voxels is developed via Revit-Dynamo to represent spatial uncertainties employing the kriging interpolation method. The local arrangement of new surveys are evaluated to be optimised.FindingsThe visualisation model's computational performance is modified by using an octree structure. The results show that it adapts the structure to be modelled more efficiently. The proposed concept can identify the geological models' risky locations for further geological investigations and reveal an optimised experimental design. The modifications criteria are defined in global and local considerations.Originality/valueIt provides a transparent and repeatable approach to construct a spatial ground model for subsequent experimental or numerical analysis. In the first attempt, the ground model was discretised by a grid of voxels. In general, the required computing time primarily depends on the size of the voxels. This issue is addressed by implementing octree voxels to reduce the computational efforts. This applies especially to the cases that a higher resolution is required. The investigations using a synthetic soil model showed that the developed methodology fulfilled the kriging method's requirements. The effects of variogram parameters, such as the range and the covariance function, were investigated based on some parameter studies. Moreover, a synthetic model is used to demonstrate the optimal experimental design concept. Through the implementation, alternative locations for new boreholes are generated, and their uncertainties are quantified. The impact of the new borehole on the uncertainty measures are quantified based on local and global approaches. For further research to identify the geological models' risky spots, the development of this approach with additional criteria regarding the search neighbourhood and consideration of barriers and trends in real cases (by employing different interpolation methodologies) should be considered.

show abstract

Section: Building Information Model In Tunnellingmentioning

confidence: 99%

Optimisation of geotechnical surveys using a BIM-based geostatistical analysis

Mahmoudi

Stepien

König

2021

SASBE

View full text Add to dashboard Cite

show abstract

“…The second significant cluster is related to the application of DTs on highways and bridges. As examples of citing studies that covered a considerable amount of nodes, we can note Jiang et al [78] study focused on developing highway digital twin from map data, DTs for operation and maintenance of tunnels [79], and the generation of as-built models from TBM data [80]. Studies in this cluster are more concerned with applications of IDTs for the O&M phase; however, the use of digital twins for the design and construction phase has remained less developed despite the recommendations of some experienced industry professionals [21] and authors [80] within the context of infrastructures (answer to RQ2).…”

Section: ) Cluster Analysismentioning

confidence: 99%

Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions

Naderi

Shojaei

2022

IEEE Access

View full text Add to dashboard Cite

Digital Twins (DTs) have received considerable attention as an emerging technology in recent years, which can offer advantages for improving the performance of infrastructures. However, the inherent complexity of infrastructures alongside the nascent nature of digital twins in the Architecture, Engineering, and Construction (AEC) industry hinders the adoption of infrastructure digital twins (IDTs). The lack of common understanding among different stakeholders has been noted as one of the most significant roadblocks to implementing IDTs in practice. This study is a quantitative attempt to address this gap by providing different stakeholders with a multi-layer knowledge map by analyzing 139 identified IDTs in three levels of bibliometric and social network analyses. First, knowledge themes are extracted from the most-frequent journals to provide an overview of IDT knowledge. Second, a combination of co-citation analysis and social network theories illustrated six clusters of IDT knowledge and their relationships. Third, the co-occurrence network of keywords revealed where, why, and what enabling technologies have been employed so far. These findings were synthesized into a three-layer knowledge map to not only illustrate the maturity level and evolution potentials of each layer but also serve as a hierarchical strategic plan recommending future direction to decision-makers, researchers, and practitioners.INDEX TERMS Bibliometric analysis, civil infrastructures, digital twins, knowledge map, systematic review.

show abstract

“…Projects in construction and infrastructure have components with complex geometries and enormous data that will only be useful for the construction systems if completely applied and linked to analyse the system in real time. Getuli et al (2021), for example, integrated BIM models and computational design for the just-in-time generation of as-built BIM models in a tunnelling project to reduce time and errors. Although this study did not incorporate an extensive dataset, there is evidence of extracting the components information and connected to the computer system.…”

Section: Dynamic Planning and Scheduling In Constructionmentioning

confidence: 99%

Construction project planning and scheduling as a dynamic system: a content analysis of the current status, technologies and forward action

Nwadigo

Naismith

Ghaffarianhoseini

et al. 2021

SASBE

View full text Add to dashboard Cite

PurposeDynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.Design/methodology/approachThe authors searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of categories and conclusions about how the data relates to planning and scheduling to avoid the subjective responses from questionnaires and interviews. Then, applying inclusion and exclusion criteria, we selected one hundred and four articles. Finally, the study used a seven-step deductive content analysis to develop the categorisation matrix and sub-themes for describing the dynamic planning and scheduling categories. The authors used deductive analysis because of the secondary data and categories comparison. Using the event types represented in a quadrant mapping, authors delve into where, when, application and benefits of the classes.FindingsThe content analysis showed that all the accounts and descriptions of dynamic planning and scheduling are identifiable in an extensive research database. The content analysis reveals the need for multi-hybrid (4D BIM-Agent based-discrete event-discrete rate-system dynamics) simulation modelling and optimisation method for proffering solutions to scheduling and planning problems, its current status, tools and obstacles.Originality/valueThis research reveals the deductive content analysis talent in construction research. It also draws direction, focuses and raises a question on dynamic planning and scheduling research concerning the five-integrated model, an opportunity for their integration, models combined attributes and insight into its solution viability in construction.

show abstract

On-demand generation of as-built infrastructure information models for mechanised Tunnelling from TBM data: A computational design approach

Cited by 33 publications

References 71 publications

Optimisation of geotechnical surveys using a BIM-based geostatistical analysis

Optimisation of geotechnical surveys using a BIM-based geostatistical analysis

Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions

Construction project planning and scheduling as a dynamic system: a content analysis of the current status, technologies and forward action

Contact Info

Product

Resources

About