2017
DOI: 10.1016/j.autcon.2017.04.001
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Computationally efficient change analysis of piece-wise cylindrical building elements for proactive project control

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Cited by 14 publications
(6 citation statements)
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“…Other analytical systems comparisons have involved the use of graph theory to abstract and track the accumulation of error in pipes. This technique, as outlined by Kalasapudi et al [23], requires establishing a comprehensive tolerance network associated with each pipe element and subsequently quantifying and comparing the errors of each associated pipe element. In summary, while several innovative techniques can be used to abstract errors in pipe spool assemblies, oftentimes, these approaches are far too comprehensive to adopt for real-time DQA of termination points.…”
Section: Analytical System Comparisonmentioning
confidence: 99%
“…Other analytical systems comparisons have involved the use of graph theory to abstract and track the accumulation of error in pipes. This technique, as outlined by Kalasapudi et al [23], requires establishing a comprehensive tolerance network associated with each pipe element and subsequently quantifying and comparing the errors of each associated pipe element. In summary, while several innovative techniques can be used to abstract errors in pipe spool assemblies, oftentimes, these approaches are far too comprehensive to adopt for real-time DQA of termination points.…”
Section: Analytical System Comparisonmentioning
confidence: 99%
“…Since automation of analyzing as-built data and subsequent comparison with BIM requires developing bespoke algorithms for specific feature abstraction (i.e., planar features are extracted in a different manner than cylindrical features), most research is focused in key areas of construction objects. For instance, there are distinct workflows developed for automated extraction and evaluation of precast concrete elements [25], cylindrical objects such as pipes [31,32], steel structures [33], and architectural features such as doors, stairs, and walls [34]. Despite the growing availability of these approaches and integration into widely available commercial software, the current quantification process observed in industry is still reliant on manual methods and techniques [35].…”
Section: Quantifying Dimensional Qualitymentioning
confidence: 99%
“…For example, since the process in the design phase is iterative, the content and structure of design information is subject to continuous change [95]. Poor change coordination may interrupt the decision-making processes in other phases of construction projects [96]. Hence, openness to change is an essential management factor for different stakeholders when dealing with BIM-related issues [97], as Dulewicz and Higgs [13] claimed that dealing with different levels of change (low, moderate, or high change) can be done more satisfactorily by a specific leadership style.…”
Section: Effective Leadership Style For Bim Leadersmentioning
confidence: 99%