Information modeling of earthquake-damaged reinforced concrete structures

Ma, Ling; Sacks, Rafael; Zeibak-Shini, Reem

doi:10.1016/j.aei.2015.01.007

Cited by 31 publications

(13 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Institutional education is of key importance in BIM transition (Solnosky and Parfitt, 2015;Jäväjä and Salin, 2016). BIMpedagogy-based studies have been adopted in multiple AEC disciplines, such as architecture (Mathews, 2013), construction engineering (Kim, 2011), and civil engineering (Ma et al, 2015). More recent BIM education-based studies (e.g., Zhang et al, 2018) have adopted team-based and project-based learning approach stressing the project delivery process.…”

Section: Bim Pedagogy and Learningmentioning

confidence: 99%

Comparisons of students’ perceptions on BIM practice among Australia, China and UK

Jin¹,

Zou

et al. 2019

ECAM

View full text Add to dashboard Cite

Purpose University students are the future driving forces in and leaders of the architectural, engineering and construction (AEC) industry advancement. Although BIM pedagogical studies have been performed in different institutions, there has not been sufficient research providing a global perspective of BIM education and students’ perceptions toward BIM practice and application following their learning progress. The purpose of this paper is to adopt student samples from Swinburne University of Technology (SUT, Australia), Wenzhou University (WZU, China) and University of Brighton (UK) as three case studies to investigate the BIM practice and application-related perceptions and motivations. Design/methodology/approach Based on the thorough understanding of the BIM pedagogical delivery including teaching contents and assessment methods among the three institutions, a questionnaire survey approach was adopted to collect AEC students’ perceptions of BIM. Within each selected case, statistical analysis was conducted to investigate both the overall sample and subgroup differences regarding students’ opinions on BIM’s functions (e.g. as a 3D visualization tool) and BIM usefulness in various industry professions, their motivation in BIM-related jobs and their perceptions of challenges encountered in BIM practice and application. Multiple factors influencing BIM learners’ perceptions were discussed, such as pedagogical assessment approach, and individual factors (e.g. disciplines). Findings The results showed that students were able to discern the latest industry practices and critical thinking in BIM movements. For example, SUT students perceived more challenges from the government legislation or incentive policies, which was consistent with Australia’s BIM policy movement. WZU students tended to have less positive views on BIM usefulness. The results also indicated fewer differences regarding perceived challenges among students from these three institutions. Originality/value This study contributed to the body of knowledge in managerial BIM by focusing on learners’ perceptions from the perspective of students’ understanding, motivation and individual views of BIM, which were insightful to both BIM educators and employers. By initiating the framework of BIM learning process and its influence factors, the current study serves as a point of reference to continue the future work in strengthening the connection between institutional BIM education and industry practical needs worldwide.

show abstract

Section: Bim Pedagogy and Learningmentioning

confidence: 99%

Comparisons of students’ perceptions on BIM practice among Australia, China and UK

Jin¹,

Zou

et al. 2019

ECAM

View full text Add to dashboard Cite

show abstract

“…e BIM expresses the geometry of an object as a plane or a solid, which is a set of a number of planes [21]. It is determined in various expression methods, including "Body SweptSolid," "Body Brep (Boundary Representation)," and "Body CSG (Constructive Solid Geometry)" in IFC according to the geometry of the object [22]. In the case of the window set, a simple geometry such as a wood frame and glass as well as a complicated shape exists.…”

Section: Geometry Data Extraction From Bimmentioning

confidence: 99%

Automated Conversion of Building Information Modeling (BIM) Geometry Data for Window Thermal Performance Simulation

Kim¹,

Park²,

Choi

et al. 2019

Advances in Civil Engineering

View full text Add to dashboard Cite

A window set is defined as a window where the frame and the glass are combined and is used at the part that comes into contact with the air. As the performance evaluation of window sets has gained significance, the need for software that can simulate window set performance has also increased accordingly. However, the simulation of window sets is not carried out efficiently due to the difficulty in the window set modeling. Meanwhile, the design of building information modeling has recently proliferated so that the window set BIM library is distributed online. If such a window set BIM library is utilized in the window set simulation, it is expected that the productivity issue that occurs in the simulation process could be improved. Therefore, this study proposes a method to automatically convert the information required in the simulation of the window set heat transfer coefficient from the BIM. In order to achieve the purpose of this study, the following procedure is carried out. First, the framework for converting the information required in the simulation of the window set heat transfer coefficient from the BIM is suggested. Second, the method to extract and convert BIM data based on the suggested framework is proposed. Lastly, the BIM data conversion program is developed, and its performance is validated by applying the window set BIM case. The case study result showed that the information converted and entered from the window set data BIM conversion program coincided with the information entered in the window set BIM. It is expected that the result of this study will increase the productivity of window set simulations, which will lead to the increased use of certification through these simulations.

show abstract

“…This method identifies objects in an indoor environment, including walls, floors, ceilings, windows, and doorways, even in the presence of significant clutter and occlusion. Methods for exporting as‐damaged instance models using Industry Foundation Class (IFC) are also discussed in Ma et al 37 Ma et al 38 developed an approach for object classification that applies domain experts' knowledge of shape features and pairwise relationships of 3D objects to classify objects using a matching algorithm. Laefer and Truong‐Hong 39 developed a method to automatically identify structural steel members from a terrestrial laser scan point cloud and to generate that geometry in a BIM compatible format.…”

Section: Introductionmentioning

confidence: 99%

Using extracted member properties for laser‐based surface damage detection and quantification

Erkal

Hajjar

2020

Struct Control Health Monit

View full text Add to dashboard Cite

Many existing structures suffer from damage due to age or accumulated damage from hazards. It is important to accurately assess the present conditions of these aging, deteriorating, and damaged structures. In recent years, laser scanners have been increasingly used for capturing the in situ conditions of structures. They are used for collecting dense and high-resolution point clouds of scenes for structural engineering applications. However, automatically extracting meaningful information from the point clouds remains a challenge, and the current state-of-the-art requires significant user interaction. In this work, a process for automatically extracting information from laser datasets such as the location, orientation, and size of objects in a scanned region, and location of damaged regions on a structure is established. First, widely accepted point cloud processing steps are used to divide the collected laser scanner data into meaningful point clusters. A new graph-based object detection algorithm is then used to generate skeletons of the extracted point clusters in order to detect structural members by using a model library consisting of common structural shapes. The obtained member information is then used for developing a new graph-based damage detection method, which compares the fitted object model with the as-is point cloud of the investigated object for locating defects, detecting alignment issues and points of discontinuity, computing changes in the cross-section through area calculation, and determining the total volume change on the investigated member. The effectiveness of the developed graph-based object and damage detection algorithms are tested and validated on test specimens and test-bed bridges.

show abstract

Information modeling of earthquake-damaged reinforced concrete structures

Cited by 31 publications

References 23 publications

Comparisons of students’ perceptions on BIM practice among Australia, China and UK

Comparisons of students’ perceptions on BIM practice among Australia, China and UK

Automated Conversion of Building Information Modeling (BIM) Geometry Data for Window Thermal Performance Simulation

Using extracted member properties for laser‐based surface damage detection and quantification

Contact Info

Product

Resources

About