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检索条件"机构=Computational Modeling and Simulation"

共 354 条记录，以下是1-10 订阅

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Enhancing Design Coordination Across Disciplines Through Incremental Model Updates and Inter-Discipline Conjunction Graphs 20th

Enhancing Design Coordination Across Disciplines Through Inc...

引用

20th International Conference on Computing in Civil and Building Engineering, ICCCBE 2024

作者： Esser, Sebastian Borrmann, André Chair of Computational Modeling and Simulation Technical University of Munich Munich Germany

ISBN: (纸本)9783031842078

Model-based collaboration is well-established to exchange design information in the Architecture, Engineering, and Construction (AEC) sector. Even though various tools provide comprehensive means to author such models containing discipline-specific elements and semantic information, there is great potential to improve how multiple discipline models are coordinated in an integrated environment. Today, project coordination is carried out through model federation by uploading (discipline) models to Common Data Environments (CDE), which implement the concept of BIM Level 2 according to ISO 19650. This standard, however, handles discipline BIM models primarily as monolithic files and does not foresee any connection among the individual objects the models contain across different disciplines. Subsequently, detecting and negotiating potential impacts on foreign models caused by modifications in a specific discipline model remains a manual task that must be carried out every time a new model version is populated. Incremental version control of BIM models has recently gained increasing research interest. Such approaches aim to exchange only the modified parts of a model. Due to the missing references across discipline models, however, the potential of such methods leaves further potential unexploited. However, enhanced collaboration can be achieved if the actual model increment is exchanged, and its content is used to propose modifications to the other discipline models. This paper presents an approach to establishing additional references across distinct discipline models in the coordination environment to realize this concept. The proposed method helps assess the impact of model modifications across disciplines and allows for implementing automated reactions. The basis of the proposed concept is formed by an Inter-discipline Conjunction Graph, which provides graph-based representations of the different discipline models and several types of conjunction relationships that c

关键词： Building Information Model

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Optical Process Control for extrusion-based Additive Manufacturing methods in construction 40

Optical Process Control for extrusion-based Additive Manufac...

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40th International Symposium on Automation and Robotics in Construction, ISARC 2023

作者： Mohiuddin, Rafay Policroniades, Miranda Cruz Slepicka, Martin Borrmann, André Computational Modeling and Simulation Technical University of Munich Germany

ISBN: (纸本)9780645832204

Additive Manufacturing (AM) provides many advantages when applied to the field of construction. However, due to the large scale of construction projects, time requirements for the printing process are also large, making AM processes susceptible to the influence of external variables. Accordingly, it is advisable to employ methods that can ensure the stability of the extrusion process. This study demonstrates a method to increase the reliability of extrusion-based concrete 3D printing processes through automated monitoring and controlled material extrusion process. In order to maintain a consistent width of the extruded material, a closed-loop optical process control system capable of tracking extruded layers has been developed. It utilizes a mounting system for the monitoring system (RGB camera) that can automatically rotate and moves relative to the printing nozzle and tracks the extruded filament. A computer-vision-based algorithm monitors the filament’s width in real-time and continuously transmits the information to a PID controller regulating the material extrusion rate. Overall, the system can effectively track the extruded filament and adjust the extrusion rate based on the vision system, demonstrating significant potential in real-time process control applied in robotic construction. © ISARC 2023. All rights reserved.

关键词： Computer vision

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Digital twinning of bridges from point cloud data by deep learning and parametric models 14th

Digital twinning of bridges from point cloud data by deep le...

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14th European Conference on Product and Process Modelling, ECPPM 2022

作者： Mafipour, M.S. Vilgertshofer, S. Borrmann, A. Computational Modeling and Simulation Technical University of Munich Germany

ISBN: (纸本)9781032406732

The Digital Twin (DT) of a bridge is a geometric-semantic model that supports and facilitates the operation and maintenance process of the structure. For existing structures, the semantically enriched 3D model of the DT is typically created by processing point cloud data (PCD). Semantic segmentation and parametric modeling are two essential but laborious steps in the digital twinning of bridges. This paper contributes to automating these steps by applying deep learning and metaheuristic algorithms. Semantic features of points are extracted, and a deep learning model is trained. Subsequently, the segmented parts are parametrically modeled by applying a metaheuristic algorithm for model fitting. The presented results show that the DT of bridges can be created with a mean intersection over union (mIoU) of 88.45% and mean accuracy (mAcc) of 95.62% in semantic segmentation, as well as a mean absolute error (MAE) of 4 cm/m in parametric modeling. © 2023 the Author(s).

关键词： Semantics

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Real-time data exchange (RTDE) robot control integration for Fabrication Information modeling 40

Real-time data exchange (RTDE) robot control integration for...

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40th International Symposium on Automation and Robotics in Construction, ISARC 2023

作者： Slepicka, Martin Helou, Jalal Borrmann, André Computational Modeling and Simulation Technical University of Munich Germany

ISBN: (纸本)9780645832204

In response to its stagnating productivity and growing demand for sustainability, the architecture, engineering, and construction (AEC) industry is increasingly pushing ahead regarding digitization and automation. Building Information modeling (BIM) and Additive Manufacturing (AM) are two technologies that contribute significantly to this development. Although these technologies have similar basic principles — both are based on computer-aided methodologies and used for automation purposes — they have long been developed independently in the construction industry. However, recently, studies on integrating AM into BIM methodology have gained momentum. One approach is the Fabrication Information modeling (FIM) methodology which aims at interfacing digital design with automated manufacturing by providing a fabrication-aware intermediate layer, a digital model that contains all the information necessary for automated fabrication. This study focuses on extending FIM by providing a new robot control methodology that can directly utilize FIM data to control an AM system and is better suited to extrusion-based concrete 3D printing needs. The proposed robot control method aims to be more flexible regarding the recalibration of printing parameters and prepares the basis for developing systems for automated quality control. © ISARC 2023. All rights reserved.

关键词： Construction industry

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Automated deterministic model-based indoor scan planning 14th

Automated deterministic model-based indoor scan planning

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14th European Conference on Product and Process Modelling, ECPPM 2022

作者： Noichl, F. Borrmann, A. Computational Modeling and Simulation Technical University of Munich Munich Germany

ISBN: (纸本)9781032406732

Scan planning describes the process of choosing equipment and locations for reality capture with laser scanners. By contrast to the traditional, expert-based method usually conducted in the field, automated approaches aim to solve this task exclusively with pre-existing data in the form of plans or 3D models of the scene. Existing approaches for automation are mostly either limited to 2D or based on simulations of laser scans, which oversimplifies respectively complicates the process to the degree that makes them inapplicable for practitioners. We aim to solve both problems by basing our solution on a 3D representation of the target scene and a deterministic approach. Thus, the workflow remains computationally feasible while the complexity of real-world scenes is sufficiently represented. We present a literature review on related research and technical guidelines for scan planning to define realistic requirements for scan planning, including point density, field of view, and depth of field limitations. To develop valuable strategies, we create a static set of candidate locations on a grid in the scene. We then perform visibility and coverage analysis and evaluate each candidate’s fitness for the overall strategy based on its contribution to our pre-defined scan requirements. Finally, selected locations are combined to form an optimized strategy to fulfill these requirements following two versions. We apply two basic methods for candidate selection and investigate their implications in a descriptive experiment. © 2023 the Author(s).

关键词： Location

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Predicting occupant evacuation times to improve building design 14th

Predicting occupant evacuation times to improve building des...

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14th European Conference on Product and Process Modelling, ECPPM 2022

作者： Clever, J. Abualdenien, J. Dubey, R.K. Borrmann, A. Computational Modeling and Simulation Technical University of Munich Munich Germany

ISBN: (纸本)9781032406732

Building design requires considering multiple requirements and must fulfill diverse regulations. Therefore, model analysis and simulations are fundamental parts of the design process to find the optimal solution for a given problem. Important decisions are based on a building’s assessed final performance in the early design phases. In particular, the analysis of pedestrian flow dynamics is paramount for public facilities like train stations concerning occupants’ comfort and evacuation behavior. Currently, it requires multiple steps, from preparing the BIM model to performing pedestrian flow analysis, including semi-automated, often manual work that demands high computation times. Therefore, to improve the building design efficiency in terms of time and pedestrian circulation, this paper proposes a framework applying Deep Learning methods. We propose a real-time pedestrian evacuation prediction to replace time-consuming pedestrian dynamics simulations. More precisely, a modular neural network architecture is designed, including a Convolutional Neural Network and a Multilayer Perceptron, that takes floorplan images and building and simulation parameters as input and predicts the crowd evacuation time for a given building model. As a result, a mean prediction accuracy of 15% could be achieved. © 2023 the Author(s).

关键词： Forecasting

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A hybrid top-down, bottom-up approach for 3D space parsing using dense RGB point clouds 14th

A hybrid top-down, bottom-up approach for 3D space parsing u...

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14th European Conference on Product and Process Modelling, ECPPM 2022

作者： Mehranfar, M. Braun, A. Borrmann, A. Computational Modeling and Simulation Technical University of Munich Munich Germany

ISBN: (纸本)9781032406732

Nowadays, despite the advanced developments in engineering, automatic large-scale point cloud processing is still one of the challenging topics in many applications. In this regard, segmentation of the indoor point clouds into partitioned spaces is highly demanded in building information modeling (BIM) and robotic society. This paper proposes a novel automatic hybrid top-down, bottom-up approach for the 3D space parsing in the building environment and inferring relations between spaces. The proposed method is based on applying a deep convolutional neural network (CNN) for semantic segmentation of main elements and the use of existing knowledge in the construction of buildings. Unlike the existing methods, the proposed approach does not require pre-knowledge about the space layout. The results of evaluating the proposed method on two datasets with different designs highlight the capability of the proposed approach in 3D space parsing, extracting wall footprints, and particularly finding the topological relation between them. © 2023 the Author(s).

关键词： Semantic Segmentation

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OGM2PGBM: Robust BIM-based 2D-LiDAR localization for lifelong indoor navigation 14th

OGM2PGBM: Robust BIM-based 2D-LiDAR localization for lifelon...

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14th European Conference on Product and Process Modelling, ECPPM 2022

作者： Torres, M.A. Vega Braun, A. Borrmann, A. Computational Modeling and Simulation Technical University of Munich Munich Germany

ISBN: (纸本)9781032406732

Several studies rely on particle filter (PF) algorithms for robot localization in Occupancy Grid Maps (OGMs) extracted from building information models (BIM models). However, most ignore the possible discrepancies between the reference model and the real world (Scan-BIM deviations). These deviations affect the accuracy of PF drastically. This paper proposes an open-source method to generate appropriate Pose Graph-based maps from BIM models for robust 2D-LiDAR localization in changing and dynamic environments. First, 2D OGMs are generated from complex BIM models allowing autonomous navigation. Then, a technique converts these maps into Pose Graph-based maps enabling accurate pose tracking. Finally, a robust localization is proposed with a combination of state-of-the-art algorithms. We found that Pose Graph-based algorithms are four times more accurate than PF algorithms by tracking the robot’s pose in a real environment. The proposed method contributes to a robust localization with a BIM model in changing and dynamic environments. © 2023 the Author(s).

关键词： Indoor positioning systems

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BIM-SLAM: Integrating BIM Models in Multi-session SLAM for Lifelong Mapping using 3D LiDAR 40

BIM-SLAM: Integrating BIM Models in Multi-session SLAM for L...

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40th International Symposium on Automation and Robotics in Construction, ISARC 2023

作者： Vega Torres, M.A. Braun, A. Borrmann, A. Computational Modeling and Simulation Technical University of Munich Munich Germany

ISBN: (纸本)9780645832204

While 3D Light Detection and Ranging (LiDAR) sensor technology is becoming more advanced and cheaper every day, the growth of digitalization in the Architecture, Engineering and Construction (AEC) industry contributes to the fact that 3D building information models (BIM models) are now available for a large part of the built environment. These two facts open the question of how 3D models can support 3D LiDAR long-term Simultaneous Localization and Mapping (SLAM) in indoor, Global Positioning System (GPS)-denied environments. This paper proposes a methodology that leverages BIM models to create an updated map of indoor environments with sequential LiDAR measurements. Session data (pose graph-based map and descriptors) are initially generated from BIM models. Then, real-world data is aligned with the session data from the model using multi-session anchoring while minimizing the drift on the real-world data. Finally, the new elements not present in the BIM model are identified, grouped, and reconstructed in a surface representation, allowing a better visualization next to the BIM model. The framework enables the creation of a coherent map aligned with the BIM model that does not require prior knowledge of the initial pose of the robot, and it does not need to be inside the map. © ISARC 2023. All rights reserved.

关键词： Mapping

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Model healing: Toward a framework for building designs to achieve code compliance 14th

Model healing: Toward a framework for building designs to ac...

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14th European Conference on Product and Process Modelling, ECPPM 2022

作者： Wu, Jiabin Dubey, Rohit K. Abualdenien, Jimmy Borrmann, André Computational Modeling and Simulation Technical University of Munich Munich Germany

ISBN: (纸本)9781032406732

When non-compliance against building regulations occurs in construction projects, architects and engineers analyze the design and iteratively revise the model to overcome those violations. With the help of state-of-the-art code compliance checkers, practitioners interpret the results and adjust the design manually based on their expertise. Currently, no methodology is available to automatically connect the compliance violations to solving the related design issues. To address this gap, a generalized framework, Model Healing, is introduced for adjusting BIM models to overcome non-compliance. Violation-related parameters are selected to create comparable variants. We define metric indices representing the checking conformance and the difference to the initial design to support the search toward Model Healing. Finally, valid design variants close to the initial design are elected. The paper concludes with a case study indicating the applicability and limitations of the proposed workflow. This framework will facilitate building design adjustments and error correction with higher efficiency. © 2023 the Author(s).

关键词： Error correction

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