Qingquan Li, Qin Zou, Jianghai Liao, Yuanhao Yue, Song Wang
{"title":"Deep Learning with Spatial Constraint for Tunnel Crack Detection","authors":"Qingquan Li, Qin Zou, Jianghai Liao, Yuanhao Yue, Song Wang","doi":"10.1061/9780784482438.050","DOIUrl":"https://doi.org/10.1061/9780784482438.050","url":null,"abstract":"Cracks are the most common defect on the surface of tunnels, which potentially brings threaten to the safety of the tunnel and the running vehicles. Timely repairing of the crack is of critical importance. In the past two decades, various vehicle platforms have been developed on the purpose of efficient crack detection and maintenance. With these platforms, images can be captured in a traffic speed, and automatic methods can be developed for fast crack localization. However, for image-based crack detection, traditional methods often meet difficulties in handling cracks with low contrast and poor continuity. In this paper, deep learning based techniques are exploited for feature learning and representation for crack detection. A novel deep neural network is presented for pixel-level crack recognition. Hierarchical features in different stages of the convolution are fused together to overcome the influence of noise and a spatial constraint placed on the target pixels is used to guarantee the crack continuity. In the experiment, a tunnel crack dataset is constructed for performance evaluation. Experimental results demonstrate the effectiveness of proposed method.","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132273890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Georeferencing within IFC: A Novel Approach for Infrastructure Objects","authors":"Š. Jaud, A. Donaubauer, André Borrmann","doi":"10.1061/9780784482421.048","DOIUrl":"https://doi.org/10.1061/9780784482421.048","url":null,"abstract":"The transfer of design data into nature is a necessary task during the construction process. For this, the geodetic Coordinate Reference System (gCRS) used during the design process needs to be accounted for and the distortions included need to be handled appropriately. In the context of Building Information Modelling (BIM) and the vendor-neutral data format Industry Foundation Classes (IFC), the gCRS represents an important metadata item of the model which is included and maintained throughout the project’s lifetime. Although the IFC4 supports gCRSs by providing the option to refer to an identifier of the European Petroleum Survey Group (EPSG) database, it is not able to handle custom gCRSs, which can be defined for large infrastructure projects, such as the Brenner Base Tunnel (BBT). We highlight these deficiencies of the schema and propose a novel approach by expanding the IFC schema with the Well-Known Text (WKT) notation.","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127823954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin Tasistro-Hart, T. Al-Haddad, L. Bank, R. Gentry
{"title":"Reconstruction of Wind Turbine Blade Geometry and Internal Structure from Point Cloud Data","authors":"Benjamin Tasistro-Hart, T. Al-Haddad, L. Bank, R. Gentry","doi":"10.1061/9780784482438.017","DOIUrl":"https://doi.org/10.1061/9780784482438.017","url":null,"abstract":"","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114334643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cast-in-Place Reinforced Concrete Project Model Exchange Standards: Technology Challenges and Process Automation","authors":"Leonardo Garcia, Daniel Castro-Lacouture","doi":"10.1061/9780784482421.037","DOIUrl":"https://doi.org/10.1061/9780784482421.037","url":null,"abstract":"","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123540051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Segmentation Approach to Detection of Discrepancy between As-Built and As-Planned Structure Images on a Construction Site","authors":"Juhyeon Bae, Sanguk Han","doi":"10.1061/9780784482438.023","DOIUrl":"https://doi.org/10.1061/9780784482438.023","url":null,"abstract":"","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122032462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Calderón-Hernández, Daniel Paes, J. Irizarry, X. Brioso
{"title":"Comparing Virtual Reality and 2-Dimensional Drawings for the Visualization of a Construction Project","authors":"C. Calderón-Hernández, Daniel Paes, J. Irizarry, X. Brioso","doi":"10.1061/9780784482421.003","DOIUrl":"https://doi.org/10.1061/9780784482421.003","url":null,"abstract":"","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122114685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Multi-LOD Model for Visualizing Building Information Models’ Vagueness","authors":"J. Abualdenien, André Borrmann","doi":"10.1061/9780784482421.032","DOIUrl":"https://doi.org/10.1061/9780784482421.032","url":null,"abstract":"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 metamodel 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.","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122121656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mapping Precast: Linking Global and Local Descriptions of Architectural Precast Concrete","authors":"","doi":"10.1061/9780784482421.031","DOIUrl":"https://doi.org/10.1061/9780784482421.031","url":null,"abstract":"","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124849197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Three-Tiered Simulation Framework for Modeling Bridge Girders Fabrication Processes in a Steel Fabrication Shop","authors":"Ming Lu, M. Hasan, Arash Mohsenijam","doi":"10.1061/9780784482421.070","DOIUrl":"https://doi.org/10.1061/9780784482421.070","url":null,"abstract":"","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131072391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Semantic Model for Wireless Sensor Networks in Cognitive Buildings","authors":"Stalin Ibáñez, Theresa Fitz, K. Smarsly","doi":"10.1061/9780784482445.030","DOIUrl":"https://doi.org/10.1061/9780784482445.030","url":null,"abstract":"Cognitive buildings, being aware of their own performance, actively learn and adapt to the environment, enhancing comfort and safety of occupants. While the integration of Internet of Things (IoT) technology, machine learning, reasoning, and augmented reality into cognitive building concepts has made substantial progress, the integration of structural health monitoring (SHM) and control systems into cognitive buildings has received little attention. In this paper, a semantic model for describing SHM and control systems associated with cognitive buildings is proposed. The semantic model, formally describing SHM and control systems components as well as interrelations between the components, serves as a basis to document, to manage, and to optimize cognitive buildings. Through the semantic model, a laboratory test structure, mimicking a cognitive building, and a prototype SHM and control system, which is installed on the laboratory test structure, are described using building information modeling (BIM). Both the cognitive building and the SHM and control system are physically implemented in the laboratory for validation tests. The results clearly demonstrate the ability of the semantic model to formally describe SHM and control systems associated with cognitive buildings.","PeriodicalId":288285,"journal":{"name":"Computing in Civil Engineering 2019","volume":"130 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130203817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}