Segmentation and Analysis of a Sketched Truss Frame Using Morphological Image Processing Techniques
Development of computational tools to analyze and assess the building capacities has had a major impact in civil engineering. The interaction with the structural software packages is becoming easier and the modeling tools are becoming smarter by automating the users role during their interaction with the software. One of the difficulties and the most time consuming steps involved in the structural modeling is defining the geometry of the structure to provide the analysis. This paper is dedicated to the development of a methodology to automate analysis of a hand sketched or computer generated truss frame drawn on a piece of paper. First, we focus on the segmentation methodologies for hand sketched truss components using the morphological image processing techniques, and then we provide a real time analysis of the truss. We visualize and augment the results on the input image to facilitate the public understanding of the truss geometry and internal forces. MATLAB is used as the programming language for the image processing purposes, and the truss is analyzed using Sap2000 API to integrate with MATLAB to provide a convenient structural analysis. This paper highlights the potential of the automation of the structural analysis using image processing to quickly assess the efficiency of structural systems. Further development of this framework is likely to revolutionize the way that structures are modeled and analyzed.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Optimization for truss design using Bayesian optimization
In this work, geometry optimization of mechanical truss using computer-aided finite element analysis is presented. The shape of the truss is a dominant factor in determining the capacity of load it can bear. At a given p…
Bayesian OptimizationMethods for the Segmentation of Reticular Structures Using 3D LiDAR Data: A Comparative Evaluation
Reticular structures form the backbone of major infrastructure like bridges, pylons, and airports, but their inspection and maintenance are costly and hazardous, often requiring human intervention. While prior research h…
Computational EfficiencyPoint CloudsAutomatic Truss Design with Reinforcement Learning
Truss layout design, namely finding a lightweight truss layout satisfying all the physical constraints, is a fundamental problem in the building industry. Generating the optimal layout is a challenging combinatorial opti…
Combinatorial OptimizationLayout Designreinforcement-learningReinforcement Learning+2Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs
Over the last decade, there has been an increasing interest in temporal graphs, pushed by a growing availability of temporally-annotated network data coming from social, biological and financial networks. Despite the imp…
Deep Learning approach for Classifying Trusses and Runners of Strawberries
The use of artificial intelligence in the agricultural sector has been growing at a rapid rate to automate farming activities. Emergent farming technologies focus on mapping and classification of plants, fruits, diseases…
ClassificationDeep LearningSemantic Segmentation