Constructability Assessment of Climbing Formwork Systems Using Building Information Modeling

Kannan, Ramesh; Santhi, M. Helen

doi:10.1016/j.proeng.2013.09.191

Cited by 50 publications

(26 citation statements)

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“…Petri nets (Conner, 1990), (Gradišar & Mušič, 2012). Automation of model construction and adaptation can significantly facilitate the development of models of complex systems (Lattner, Bogon, Lorion, & Timm, 2010), (Kannan & Santhi, 2013) and generation of simulation scenarios. Optimisation through modification of model structure can be performed by constructing several versions of the model and input data (i.e.…”

Section: The Need For a New Simulation Modelling Paradigmmentioning

confidence: 99%

Industry 4.0 and the New Simulation Modelling Paradigm

Rodič¹

2017

Organizacija

249

112

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Background and Purpose:The aim of this paper is to present the influence of Industry 4.0 on the development of the new simulation modelling paradigm, embodied by the Digital Twin concept, and examine the adoption of the new paradigm via a multiple case study involving real-life R&D cases involving academia and industry. Design: We introduce the Industry 4.0 paradigm, presents its background, current state of development and its influence on the development of the simulation modelling paradigm. Further, we present the multiple case study methodology and examine several research and development projects involving automated industrial process modelling, presented in recent scientific publications and conclude with lessons learned. Results: We present the research problems and main results from five individual cases of adoption of the new simulation modelling paradigm. Main lesson learned is that while the new simulation modelling paradigm is being adopted by big companies and SMEs, there are significant differences depending on company size in problems that they face, and the methodologies and technologies they use to overcome the issues. Conclusion: While the examined cases indicate the acceptance of the new simulation modelling paradigm in the industrial and scientific communities, its adoption in academic environment requires close cooperation with industry partners and diversification of knowledge of researchers in order to build integrated, multi-level models of cyber-physical systems. As shown by the presented cases, lack of tools is not a problem, as the current generation of general purpose simulation modelling tools offers adequate integration options.

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Section: The Need For a New Simulation Modelling Paradigmmentioning

confidence: 99%

Industry 4.0 and the New Simulation Modelling Paradigm

Rodič¹

2017

Organizacija

249

112

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“…Real-time data collected in BIM can support project stakeholders' decision-making by controlling and interpreting data pattern changes and trends [44,[47][48][49]. Current research has focused on using BIM for concrete formwork planning and design rather than monitoring and calculating the maturity of concrete during the formwork process [44,[47][48][49][50]. Therefore, the present study expanded the interoperability of BIM for real-time monitoring of the maturity of concrete by using sensor data and calculations conducted through the API interface, in addition to conveying the possible formwork opening time that does not risk damage to the concrete's structural elements.…”

Section: Methodsmentioning

confidence: 99%

“…However, the end-users of such systems employ static data instead of real-time information collected by sensors or other information technologies during the construction process [48]. Real-time data collected in BIM can support project stakeholders' decision-making by controlling and interpreting data pattern changes and trends [44,[47][48][49]. Current research has focused on using BIM for concrete formwork planning and design rather than monitoring and calculating the maturity of concrete during the formwork process [44,[47][48][49][50].…”

Section: Concrete Formwork Applications In Bimmentioning

confidence: 99%

Extending BIM Interoperability for Real-Time Concrete Formwork Process Monitoring

et al. 2020

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The concrete formwork process is a critical component of construction project control because failing to gain the necessary concrete strength can lead to reworks and, consequently, project delays and cost overruns during the project’s execution. The goal of this study is to develop a novel method of monitoring the maturity of concrete and providing reduced formwork removal time with the strength ensured in real-time. This method addresses the wireless sensors and building information modeling (BIM) needed to help project management personnel monitor the concrete’s status and efficiently decide on the appropriate formwork removal timing. Previous studies have focused only on the monitoring of concrete’s status using sensor data or planning the formwork layout by integrating the BIM environment into the design process. This study contributes to extending BIM’s interoperability for monitoring concrete’s maturity in real-time during construction, as well as determining the formwork removal time for project control. A case study was conducted at a building construction project to validate the developed framework. It was concluded that BIM can interoperate with the data collected from sensors embedded in concrete, and that this system can reduce formwork removal time while retaining sufficient strength in the concrete, rather than adhering to the removal time given in building code standards.

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“…Constructability assessment criteria from these studies include standardization, minimizing the number of components variations, preassembly engineering, transportation, installation and reviews of specifications. Design constructability can also be assessed based on cost, time, sustainability, safety, and quality indexes [11]. Akinade et al, [2] on the other hand proposed the use of BIM for assessing waste associated with deconstruction.…”

Section: Literature Reviewmentioning

confidence: 99%

A BIM based approach for construction and assembly driven optimisation of building design

Gbadamosi¹,

Mahamadu²,

Manu

et al. 2018

Creative Construction Conference 2018 - Proceedings

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During the design phase of construction projects, professionals seldom consider implications of design choices in terms of the ease with which it can be constructed. This contributes to wastage when chosen design features and materials result in the use of inefficient construction production and assembly methods. In order to bridge this gap, this study provides an approach for incorporating production knowledge and data into Building Information Models (BIM) to support optimization of building designs in terms of the efficiencies associated with their onsite production. A building design assessment system is developed to aid selection of alternative building design elements and materials in a digital prototype before they are actually constructed. The assessment system relies on an index derived from production knowledge or data related to ease of assemble, speed of assemble and the waste associated with the assembly or construction of a building element or material. This paper presents the identification and prioritisation of criteria for the development of the index for optimal selection of building envelope systems. The criteria were reviewed by an expert panel (n=25) who provided weightings of criteria importance through a voting analytic hierarchy process (VAHP). A schema for implementation through the extension of BIM with external assessment index logic is also presented. The practicality of the system as an indicator of the efficiency with which a design can be built or constructed, provides a solution for leveraging production knowledge and data to improve design in terms of its buildability thereby reducing waste associated with inefficient construction and sometimes redesign or late substitution of materials.

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Constructability Assessment of Climbing Formwork Systems Using Building Information Modeling

Cited by 50 publications

References 0 publications

Industry 4.0 and the New Simulation Modelling Paradigm

Industry 4.0 and the New Simulation Modelling Paradigm

Extending BIM Interoperability for Real-Time Concrete Formwork Process Monitoring

A BIM based approach for construction and assembly driven optimisation of building design

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