BIM-based Applications of Metaheuristic Algorithms to Support the Decision-making Process: Uses in the Planning of Construction Site Layout

Amiri, Roya; Sardroud, Javad Majrouhi; Soto, Borja García de

doi:10.1016/j.proeng.2017.08.030

Cited by 25 publications

(16 citation statements)

References 33 publications

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“…Hence, it is imperative to create a suitable algorithm to achieve the highest possible case [94]. It has been reported that the optimization process is a complex method, due to the limited number of feasible configurations that lead to obtaining exact methods [95].…”

Section: Bim-based Algorithmmentioning

confidence: 99%

“…As examples, genetic algorithm (GA) and particle swarm optimization (PSO) were among metaheuristic algorithms. The applications targeted the period during planning to support the decision-making process for construction projects [95]. Achieving this algorithm application implies that the site layout is considered in two fashions: a static and a dynamic model.…”

Section: Algorithm Roles In Bimmentioning

confidence: 99%

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The Role of the Interface and Interface Management in the Optimization of BIM Multi-Model Applications: A Review

et al. 2022

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This review targets the BIM interface, the BIM multi-model approach, and the role of employing algorithms in BIM optimization to introduce the need for automation in the BIM technique, instead of complicating manual procedures in order to reduce possible errors. The challenge with adopting BIM lies in the limiting ability of computer-aided design (CAD) to generate a read-able and straightforward Revit by BIM, requiring the homogeneous data format to be generalized better and maintain a super data mod. Furthermore, the communication and management inter-face (CMI) faces some shortcomings due to limitations in its ability to recognize the role of the interface during the project construction phase. This review demonstrates several proposals to simplify the interface, in order to facilitate better communication amongst participants. The industry foundation class (IFC) model requires a new technique to unlock the potential future of intelligent buildings using the BIM multi-model approach integrated with the Internet of Things (IoT). Trials conducted to enhance the BIM model lack advanced methods for optimizing cost, energy consumption, labor, material movement, and the size of layout of the project, by utilizing heuristic, metaheuristic, and k-mean algorithms. The enhancement of BIM could involve algorithms to achieve better productivity, safety, cost, time, and construction frameworks. The review shows that some gaps and limitations still exist, especially considering the potential link between BIM and building management system (BMS) and the level of influence of the BIM-IoT prototype. Future work should find the best approach to solve facility management within the dynamic model, which is still under investigation.

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Section: Bim-based Algorithmmentioning

confidence: 99%

Section: Algorithm Roles In Bimmentioning

confidence: 99%

The Role of the Interface and Interface Management in the Optimization of BIM Multi-Model Applications: A Review

et al. 2022

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“…More than the fuzzy-logic dataset was possible usages in GA for construction scheduling [41]. Other applications of BIM-based optimization were used for the construction assembly line [42], building energy performance evaluation [43] and planning of construction site layout [44].…”

Section: Construction Planning and Scheduling Optimizationmentioning

confidence: 99%

Construction Planning and Scheduling of a Renovation Project Using BIM-Based Multi-Objective Genetic Algorithm

et al. 2021

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Renovation is known to be a complicated type of construction project and prone to errors compared to new constructions. The need to carry out renovation work while keeping normal business activities running, coupled with strict governmental building renovation regulations, presents an important challenge affecting construction performance. Given the current availability of robust hardware and software, building information modeling (BIM) and optimization tools have become essential tools in improving construction planning, scheduling, and resource management. This study explored opportunities to develop a multi-objective genetic algorithm (MOGA) on existing BIM. The data were retrieved from a renovation project over the 2018–2020 period. Direct and indirect project costs, actual schedule, and resource usage were tracked and retrieved to create a BIM-based MOGA model. After 500 generations, optimal results were provided as a Pareto front with 70 combinations among total cost, time usage, and resource allocation. The BIM-MOGA can be used as an efficient tool for construction planning and scheduling using a combination of existing BIM along with MOGA into professional practices. This approach would help improve decision-making during the construction process based on the Pareto front data provided.

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“…Building information modelling (BIM) is an intelligent process that provides information about the construction and management of building infrastructures. BIM includes a complex multiphase process that gathers information from multiple sources to model the components and tools used during the construction process [1][2][3]. BIM adoption in the construction process can help achieve greater building construction efficiency [4].…”

Section: Introductionmentioning

confidence: 99%

Sensor Fusion Based Pipeline Inspection for the Augmented Reality System

et al. 2019

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Augmented reality (AR) systems are becoming next-generation technologies to intelligently visualize the real world in 3D. This research proposes a sensor fusion based pipeline inspection and retrofitting for the AR system, which can be used in pipeline inspection and retrofitting processes in industrial plants. The proposed methodology utilizes a prebuilt 3D point cloud data of the environment, real-time Light Detection and Ranging (LiDAR) scan and image sequence from the camera. First, we estimate the current pose of the sensors platform by matching the LiDAR scan and the prebuilt point cloud data from the current pose prebuilt point cloud data augmented on to the camera image by utilizing the LiDAR and camera calibration parameters. Next, based on the user selection in the augmented view, geometric parameters of a pipe are estimated. In addition to pipe parameter estimation, retrofitting in the existing plant using augmented scene are illustrated. Finally, step-by-step procedure of the proposed method was experimentally verified at a water treatment plant. Result shows that the integration of AR with building information modelling (BIM) greatly benefits the post-occupancy evaluation process or pre-retrofitting and renovation process for identifying, evaluating, and updating the geometric specifications of a construction environment.

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BIM-based Applications of Metaheuristic Algorithms to Support the Decision-making Process: Uses in the Planning of Construction Site Layout

Cited by 25 publications

References 33 publications

The Role of the Interface and Interface Management in the Optimization of BIM Multi-Model Applications: A Review

The Role of the Interface and Interface Management in the Optimization of BIM Multi-Model Applications: A Review

Construction Planning and Scheduling of a Renovation Project Using BIM-Based Multi-Objective Genetic Algorithm

Sensor Fusion Based Pipeline Inspection for the Augmented Reality System

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