TY - GEN
T1 - A Multi-LOD Model for Visualizing Building Information Models' Vagueness
AU - Abualdenien, Jimmy
AU - Borrmann, André
N1 - Publisher Copyright:
© 2019 American Society of Civil Engineers.
PY - 2019
Y1 - 2019
N2 - The decisions taken throughout a building's design stages steer a project's success and outcome. The early stages involve choosing between alternative designs and form the basis of the following stages. Therefore, managing the early stages is crucial in avoiding a substantial amount of rework and reduced productivity. However, the lack of adequate and accurate information impedes informed decision-making. At the same time, current model-based planning techniques require extensive input data and produce very detailed designs, which can lead to false assumptions and model evaluations. Hence, this paper discusses a meta-model approach to support a formal definition of the model information in multiple design stages, incorporating potential vagueness. Thereafter, multiple visualization techniques are proposed for conveying the specified vagueness. This approach facilitates performing subjective estimation of a building model's information at the early stages to support model analyses and decision-making.
AB - The decisions taken throughout a building's design stages steer a project's success and outcome. The early stages involve choosing between alternative designs and form the basis of the following stages. Therefore, managing the early stages is crucial in avoiding a substantial amount of rework and reduced productivity. However, the lack of adequate and accurate information impedes informed decision-making. At the same time, current model-based planning techniques require extensive input data and produce very detailed designs, which can lead to false assumptions and model evaluations. Hence, this paper discusses a meta-model approach to support a formal definition of the model information in multiple design stages, incorporating potential vagueness. Thereafter, multiple visualization techniques are proposed for conveying the specified vagueness. This approach facilitates performing subjective estimation of a building model's information at the early stages to support model analyses and decision-making.
UR - http://www.scopus.com/inward/record.url?scp=85068802876&partnerID=8YFLogxK
U2 - 10.1061/9780784482421.032
DO - 10.1061/9780784482421.032
M3 - Conference contribution
AN - SCOPUS:85068802876
T3 - Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
SP - 248
EP - 255
BT - Computing in Civil Engineering 2019
A2 - Cho, Yong K.
A2 - Leite, Fernanda
A2 - Behzadan, Amir
A2 - Wang, Chao
PB - American Society of Civil Engineers (ASCE)
T2 - ASCE International Conference on Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation, i3CE 2019
Y2 - 17 June 2019 through 19 June 2019
ER -