2D CAD Drawings Research Articles

Automatic generation of pipelines from 2D CAD drawings to 3D IFC models using a parametric method

Creating 3D models of pipelines is essential for effective digital building management. However, generating 3D pipeline models from 2D CAD drawings still heavily depends on human-computer interaction at the design stage. This paper addresses this challenge by proposing a method to generate parametric 3D pipeline models from CAD drawings automatically. The framework includes three parts. Firstly, automatic layer recognition algorithms are used to extract data from CAD drawings, and algorithms are designed to match pipeline coordinates and diameters. Then, data on straight pipes is processed, including judging types of pipe fittings and calculating relevant parameters to realize the automatic generation of 3D BIM models. Finally, IFC is utilized to express the geometry and topology of models for BIM model generation. The process is implemented by writing a C++ program in Visio Studio 2019. Experimental results on a building water supply and drainage system demonstrate that the proposed method can significantly improve the generation efficiency and automation level of pipeline models.

Integration of Augmented Reality and Building Information Modeling for Enhanced Construction Inspection—A Case Study

This research addresses a significant challenge in the construction industry: the traditional reliance on CAD drawings and manual methods for building inspection and monitoring. This article presents a transformative proposal utilizing Augmented Reality (AR) to revolutionize these processes. The proposed model is based on an innovative integration of AR technology with Building Information Modeling (BIM), aiming to enhance data life-cycle management and improve the efficiency of construction management practices. The main goal of the article is to demonstrate the practical feasibility and benefits of this AR-BIM integration in construction management, particularly in the realms of inspection and monitoring. This involves developing and testing an accessible, user-friendly, and affordable AR application prototype for mobile devices, employing multiple markers, as a potential replacement for traditional methods. The research methodology comprises five phases, starting with the conversion of 2D CAD drawings into 3D BIM, followed by the simulation of AR-BIM integration at a construction site using a commercial AR application. This is succeeded by assessing the applicability of the commercial AR app and developing a multiple-marker AR application prototype suitable for general platforms. The final phase encompasses the testing and evaluation of this prototype. The findings suggest that the integration of 3D BIM with AR technology is not only feasible, but also beneficial in replacing paper-based processes, thereby enhancing information sharing, communication, and overall project execution efficiency. However, the accuracy of the superimposition between virtual and actual objects needs improvement to reduce discrepancies between as-built and as-planned scenarios. These results hold significant potential for transforming construction project execution by replacing traditional methods with more efficient digital solutions. Future research directions include extensive testing in various construction scenarios, improving model complexity handling, exploring the application of machine learning algorithms for data analysis, and expanding the study to encompass other stages of the construction lifecycle.

INCAD: 2D VECTOR DRAWINGS CREATION USING INSTANCE SEGMENTATION

Abstract. Orthoimages are a common product used as a base in CAD software for vectorization purposes. In fact, vectorization of orthoimages constitutes a tedious and labour-intensive process which should be supervised by experts e.g. architects, chemical engineers etc. On the one hand, deep learning algorithms are used extensively nowadays achieving high quality results. On the other hand, deep learning algorithms require a huge amount of manually annotated data to be trained on, which is a very difficult process especially at pixel level applications like semantic segmentation and instance segmentation. However, the transformation of 2D CAD drawings into a suitable deep learning dataset (CAD2DLD) is underexplored ignoring a large source of data, created by experts. In this effort, the InCAD algorithm is proposed, which aims to automatically create 2D vector drawings using the YOLOv8 instance segmentation algorithm which was trained on CAD2DLD data. Additionally, a methodology for transforming 2D CAD drawings into a suitable deep learning dataset for instance segmentation, is presented. Finally, the proposed workflow is evaluated on the creation of 2D vector drawings of stones of a fortification wall achieving promising results (78.34 mIoU).

Hash-Based Method for Generating Building Information Models From 2D CAD Drawings

Hash-Based Method for Generating Building Information Models From 2D CAD Drawings

Study on the application of deep learning technology and BIM model in the quality management of bridge design and construction stage

Abstract The development of the transportation industry can effectively accelerate the speed of economic development, in which bridges occupy an important position in transportation. The safety of the bridge design and construction process is a key part of bridge construction, and relying on human resources to investigate safety hazards greatly affects efficiency. In this paper, we combine deep learning technology and the BIM model to explore the synergistic effect of both on the quality management of the bridge construction phase and analyze the measured data. The results show that the application of the BIM model can improve efficiency by 35% compared with the traditional 2D CAD drawings, and the accuracy of data analysis can be improved by 12.51% and 14.26% for DNN and DBN models based on deep learning, respectively. The addition of the GSO algorithm leads to a further 19.19% improvement in the training accuracy of the coupled model. Finally, the optimization model was used to analyze the load factors and force majeure factors that affect the safety of the bridge, and to find the structural factors that affect the safety of the bridge design, which guides to ensure the quality of the bridge during the construction process.

Simulation of the Construction of a Swivel Bridge Using BIM 4D

The AEC (Architecture, Engineering, and Construction) industry is gradually shifting away from 2D CAD drawings and toward Building Information Modeling as a result of the fast development of science and technology (BIM). The BIM idea’s introduction emphasizes the need to specify a building in a single building model with adequate information to suit its different needs rather than defining it in fragmented documents. This research work aims to use the BIM 4D for the simulation of the construction sequence of a Swivel Bridge. For that, the software Revit was used to make the 3D model of the bridge, and the software Navisworks was used for the 4D construction simulation of the project. The results demonstrated that BIM technology could help reduce delays and problems with the schedule and improve communication among stakeholders, and BIM visualization and simulation features were very useful compared to traditional planning methods.

Evaluating the Effectiveness of BIM-based Virtual Reality for Coordinating the Design Disciplines in a Building Renovation Project

The coordination process plays a vital role in construction projects during the design phase when interferences and clashes between design systems are identified to reduce the risk of costly reworks. Despite the fact that coordination has been studied commonly in BIM research, limited research has explored the impact of virtual reality (VR) to understand how it can enhance the process. This research study examined the effectiveness of coordination processes in a building renovation project following an innovative approach based on virtual environments (3D-BIM VR) compared to the conventional approach (2D CAD). This research uses the Cyclotron Charette Test method to analyse both approaches in terms of accuracy, speed, and usability. Fifteen participants from engineering backgrounds participated in the prototype testing divided into two experiments. The first experiment involved visually identifying clashes from multiple 2D CAD drawings, while the second involved visually identifying clashes from 3D-BIM-based VR models. The results showed that the virtual reality environment not only helped uncover clashes quickly but also made it more accurate and helpful. A further finding from this research indicates that motion sickness hinders users’’ participation in VR environments. Finally, future research pathways are discussed to improve the coordination process using VR technology

STUDY ON BUILDING INFORMATION MODELING AND IMPLEMENTATION OF CLASH DETECTION TOOL IN BUILDING DESIGN

Building Information Modeling (BIM) is recently becoming popular and a extremely economical resolution for information management in Architecture, Engineering and Construction (AEC) industry. In Indian construction state of affairs most of the projects are still using 2D CAD drawing for his or her execution purpose. These 2D CAD drawings have lot of issues during execution like miscommunication, misunderstanding and time consuming process etc., This sort of errors and cost is reduced while using this BIM process Clash detection tool is an application of BIM which is employed for the coordination of building systems within 3D building models. This report gives a short introduction about Clash detection in BIM and it focus the methodology involved conducting clash detection analysis using building information modeling. This work involves searching for, how this clash detection tool helps to optimize of clashes in construction of particular building using BIM Coordination. The methodology involved in this report will be study of a G+3 residential building which consist of an architectural, structural and Mechanical, Electrical and Plumbing (MEP) BIM models and their subsequent clash detection analysis is done in this study, commercial software like as Autodesk Revit 2021, Autodesk Navisworks Manage 2022 are used. It also focuses on the methods of simplifying and standardizing the method of Clash Detection using Autodesk Navisworks. The entire cost of the project won't be increased and completion of the project on time and avoids overruns of budget. Key Words: BIM, Clash detection, Navisworks ,Revit etc

Blitz Vision: Development of a New Full-Electric Sports Sedan Using QFD, SDE and Virtual Prototyping

In this paper, industrial design structure (IDeS) is applied for the development of two new full-electric sports sedan car proposals that go by the names Blitz Vision AS and Retro. With a deep analysis of the trends dominating the automotive industry, a series of product requirements was identified using quality function deployment (QFD). The results of such analysis led to the definition of the technical specifications of the product via benchmarking (BM) and top-flop analysis (TFA). The product architecture was then defined by making use of a modular platform chassis capable of housing a variety of vehicle bodyworks. The structured methodology of stylistic design engineering (SDE) was used. This can be divided in six phases: (1) stylistic trends analysis; (2) sketches; (3) 2D CAD drawings; (4) 3D CAD models; (5) virtual prototyping; (6) solid stylistic model. The chassis of the CAD model was verified structurally by means of FEM analysis, whereas the drag coefficients of the two vehicle proposals were compared with one of the main competitor’s vehicles via CFD simulations. The resulting car models are both aesthetically appealing and can be further developed, leading eventually to the production stage. This proves the effectiveness of IDeS and SDE in car design.

The Evolution of Interactivity, Immersion and Interoperability in HBIM: Digital Model Uses, VR and AR for Built Cultural Heritage

Today, a building is not just a “body” or a “machine” as defined by modern architecture, but rather an immaterial entity immersed in a digital world where not only its components but also the information associated with it are accounted for. In recent decades, building information modelling (BIM) has made it possible to move from 2D CAD drawings to 3D models capable of supporting different processes and interacting with different disciplines in the AEC industry for storing, documenting and sharing heterogeneous content. It has thus become possible to direct these techniques towards built heritage to investigate new forms of communication and share heritage building information modelling (HBIM) models. This research investigates this evolution in both generative terms (scan-to-BIM process) and cultural and historical terms in order to orient BIM uses towards novel forms of interactivity and immersion between users and models. The author proposes the use of a digital process and the development of VR and AR environments based on a visual programming language (VPL) to improve access to a deeper knowledge of HBIM models and the artefacts and information contained therein.

Virtual Engineering Using Realistic Virtual Models in Brownfield Factory Layout Planning

As more pressure is put on manufacturing companies to increase productivity and reduce waste as a means to remain competitive due to increased globalization and digitalization, many companies find themselves investing in their production systems, leading to changes in their existing factories and production systems. This process is usually performed with 2D CAD drawings and data of varying quality, leading to several challenges along the way. This longitudinal research follows up on eight years of industrial studies where researchers have applied 3D laser scanning and immersive virtual reality to improve the brownfield factory layout planning processes in real industrial scenarios, a novel approach in the research field. By interviewing key stakeholders at each company and analyzing the findings, challenges in data availability and accuracy of existing data, grasping scale and perspective, and challenges gathering input and communicating around planned changes are identified and shown to be substantially alleviated by the application of the technological tools and allowing more people to be part of the factory layout planning process. By using virtual engineering, industries can improve their brownfield factory layout planning process and take well-informed decisions leading to sustainability benefits via fewer costly mistakes, improved employee engagement, and less need for travel.

PENERAPAN MODEL PEMBELAJARAN PROJECT BASED LEARNING (PJBL) MAPEL GAMBAR TEKNIK MANUFAKTUR

<p><em>This study aims to improve student activity and learning outcomes in the subject of Manufacturing Engineering Drawing class XI TPm 3. Observation Results In this subject the teacher is still actively involved in the learning process or commonly called teacher centered. In the learning process the teacher conveys learning using an LCD projector, the teacher gives instructions or examples then students imitate what is exemplified. But in the process students have difficulty following the instructions from the teacher, the teacher must repeat the instructions until the students understand. This takes up a lot of time during the learning process. So there are other topics that the teacher cannot convey to students. Teachers feel unable to deliver teaching materials optimally because of limited teaching hours.</em><em>The research method used is to apply the Project Based Learning (PjBL) learning model with the subjects of class XI TPm 3 students. Data collection techniques use evaluations in the form of LKPD in which there is an evaluation of knowledge and performance.</em><em>The results of the holding of students, pre-test before learning cycle 1 obtained results of 39, only a few students who mastered the function of making and modifying 2D CAD drawings. 9 students who are quite mastered and 30 students who have not mastered. After filling out the questionnaire, it turned out that the reason was that the majority of children did not know about 2D drawing with computer applications</em></p>

RegARD: Symmetry-Based Coarse Registration of Smartphone’s Colorful Point Clouds with CAD Drawings for Low-Cost Digital Twin Buildings

Coarse registration of 3D point clouds plays an indispensable role for parametric, semantically rich, and realistic digital twin buildings (DTBs) in the practice of GIScience, manufacturing, robotics, architecture, engineering, and construction. However, the existing methods have prominently been challenged by (i) the high cost of data collection for numerous existing buildings and (ii) the computational complexity from self-similar layout patterns. This paper studies the registration of two low-cost data sets, i.e., colorful 3D point clouds captured by smartphones and 2D CAD drawings, for resolving the first challenge. We propose a novel method named ‘Registration based on Architectural Reflection Detection’ (RegARD) for transforming the self-symmetries in the second challenge from a barrier of coarse registration to a facilitator. First, RegARD detects the innate architectural reflection symmetries to constrain the rotations and reduce degrees of freedom. Then, a nonlinear optimization formulation together with advanced optimization algorithms can overcome the second challenge. As a result, high-quality coarse registration and subsequent low-cost DTBs can be created with semantic components and realistic appearances. Experiments showed that the proposed method outperformed existing methods considerably in both effectiveness and efficiency, i.e., 49.88% less error and 73.13% less time, on average. The RegARD presented in this paper first contributes to coarse registration theories and exploitation of symmetries and textures in 3D point clouds and 2D CAD drawings. For practitioners in the industries, RegARD offers a new automatic solution to utilize ubiquitous smartphone sensors for massive low-cost DTBs.

Artificial and beneficial – Exploiting artificial images for aerial vehicle detection

Object detection in aerial images is an important task in environmental, economic, and infrastructure-related tasks. One of the most prominent applications is the detection of vehicles, for which deep learning approaches are increasingly used. A major challenge in such approaches is the limited amount of data that arises, for example, when more specialized and rarer vehicles such as agricultural machinery or construction vehicles are to be detected. This lack of data contrasts with the enormous data hunger of deep learning methods in general and object recognition in particular. In this article, we address this issue in the context of the detection of road vehicles in aerial images. To overcome the lack of annotated data, we propose a generative approach that generates top-down images by overlaying artificial vehicles created from 2D CAD drawings on artificial or real backgrounds. Our experiments with a modified RetinaNet object detection network show that adding these images to small real-world datasets significantly improves detection performance. In cases of very limited or even no real-world images, we observe an improvement in average precision of up to 0.70 points. We address the remaining performance gap to real-world datasets by analyzing the effect of the image composition of background and objects and give insights into the importance of background.

A BIM-DATABASE-INTEGRATED SYSTEM FOR CONSTRUCTION COST ESTIMATION

This paper presents a building information modeling (BIM)-database-integrated system for estimating the construction costs of building projects. The proposed system consists of four main modules: (1) the relational database management module, (2) the visualized BIM-integrated module, (3) the cost estimation module, and (4) the BIM-integrated report module. The relational database management module is designed to store and update the necessary data, which are extracted from BIM models. The visualized BIM-integrated module assists users in visualizing the complex building elements while performing cost estimating. The cost estimation module computes construction cost components. It can also automatically adjust to the change of the building element parameters while estimating costs. This module can minimize human errors associated with manual data input and calculation. The BIM-integrated report module allows users to access and comprehend the results conveniently. As compared to traditional 2D CAD drawings, the proposed system offers a more efficient methodology for construction cost estimating through 3D models. It can also minimize time, costs, and errors in the cost estimating process for building procurement.

BIM Adoption and Its Impact on Planning and Scheduling Influencing Mega Plan Projects‐ (CPEC‐) Quantitative Approach

The construction projects in Pakistan have inherent problems of erroneous planning and schedule development. This dilemma has led to the failure of the majority of construction projects in Pakistan. Earlier researches have tried to curtail the increasing spectrum of inaccurate planning and schedule development. But not many research studies have shed light on the major factor of 2D CAD drawings interpretation problems, which are playing a key role in defective planning and scheduling. Moreover, the role of BIM, i.e., Building Information Modeling with respect to efficient planning, has not been also discussed in detail. This study has concluded a positive impact of BIM on effective planning and scheduling in the construction industry of Pakistan. About 210 responses were obtained from experienced construction professionals of Pakistan and tested via regression analysis in order to validate this argument. It has been analyzed that 2D CAD drawings are now getting primitive and 3D technology BIM is taking its place. BIM is an efficient tool for planning and scheduling. With the start of CPEC and Multi‐Billion Dollar investment on infrastructure, construction industry of Pakistan needs to uplift its existing standard in order to meet with international requirements. For this purpose, BIM has been recommended. It will not only assist in attaining flawless planning but will also increase the success rate of CPEC projects in Pakistan.

Three-dimensional Visual System of Airport Site Selection based on SuperMap

Traditional airport location work mainly relies on 2D CAD drawing to draw and express the intersection relationship of multiple three-dimensional planes in space. In this way, the mapping speed and update are slow. And it involves more professional knowledge. It is difficult for non site professionals such as the planning department and the government to understand. They still use the method of manual on-site measurement points to calculate the excavation and filling volume, which makes the site selection work and earthwork volume calculation in the site selection stage time-consuming and laborious. In this paper, the airport model based on CAD design drawing and the three-dimensional real scene model of the site to be selected based on photogrammetry technology are established. The two-dimensional GIS analysis function and three-dimensional GIS visualization function of SuperMap are used to realize the high integration of two-dimensional data and three-dimensional GIS, and the three-dimensional real scene model of airport with superimposed design drawings is established, which is used for the evaluation and display of airport site selection.

Achieving the Benefits and Requirements of Integrated Project Delivery Method Using BIM

Through the last decade, Integrated Project Delivery (IPD) methodology considers one of the new contractual relations that are also on the way to further integrate the process of combining design and instruction. On the other hand, Building Information Modeling (BIM) made significant advancements in coordinating the planning and construction processes. It is being used more often in conjunction with traditional delivery methods. In this paper, the researcher will present the achievement of IPD methodology by using BIM through applying on the design of the financial commission building in Mayssan Oil Company in Iraq. The building has not been constructed yet and it was designed by using 2D CAD drawings. The researcher will redesign the project by using BIM to eliciting the abilities that are consistent with the requirements and benefits of integrated project delivery (IPD). The results show that BIM is an appropriate technology that can be used with the IPD method because it has achieved most of the requirements and benefits of IPD.

Laser Cutting as a Rapid Method for Fabricating Thin Soft Pneumatic Actuators and Robots.

Pneumatically actuated soft robots address many challenges with interfacing with delicate objects, but these actuators/robots are still bulky and require many hours to fabricate, limiting their widespread use. This article reports a novel design and manufacturing method for ultrathin soft robots and actuators (∼70 μm) using a laser-cutting machine that cuts/welds sheets of thermoplastic polyurethane (TPU) from a 2D CAD drawing. Using this method, five different soft actuators (e.g., bending, rotating, contracting) are designed, fabricated, and characterized with both planar and nonplanar motions. Furthermore, we show how stacking multiple sheets of TPU enables rapid fabrication of multifunctional actuators. Finally, a portable four-arm swimming robot is designed and fabricated without any assembly steps. This rapid fabrication method enables soft robots to go from concept to operational within minutes, and creates a new subclass of soft robots suitable for applications requiring a robot to be ultrathin, lightweight, and/or fit within small volumes.

THE EVALUATION AND JUSTIFICATION OF THE EFFECTIVENESS OF 4D CAD USING MULTI-CRITERIA ANALYSIS

The article presents the results of the analysis focused on the effectiveness of 4D CAD the phenomenon of which has been analysed by foreign scientists considering a number of different aspects. The conducted research differs from prior literature as the objective, in our case, was to evaluate effectiveness and justify results using multi-criteria analysis. Effectiveness has been investigated through the construction experiment observing group performances applying two different types of information – 2D CAD and 4D CAD drawings. Research findings have proved that the efficiency of using the 4D model has been doubled given the same time constraints when the evaluating the completeness of the construction object. Research results have also showed that the use of the 4D model helped with completing the construction of the object much faster. A comparison of the results of the participants of two groups has revealed that the use of the 4D CAD model has twice reduced the occurrence of mistakes in the construction process and helped the participants with faster detecting and fixing the errors they made. TOPSIS, SAW and CORPAS multifunctional solution making methods were employed for 2D and 4D ranking during the experiment on 4D efficiency. The findings confirm that the 4D model is more rational, more convenient and efficient than the 2D model regarding all results of statistical and multi criteria analysis.