Welcome
Digital library of construction informatics
and information technology in civil engineering and construction
 

Works 

Paper lc3-2017-257:
Post-Earthquake Damage Assessment of Buildings: An Overall Overview

Facilitated by the SciX project

Hamidreza Rashidi, Javad Majrouhi Sardroud and Ioannis Brilakis

Post-Earthquake Damage Assessment of Buildings: An Overall Overview

Abstract: Present act of post-earthquake damage assessment mainly depends on visual inspections. This paper aims to introduce the application of advanced field data acquisition technologies (e.g. Laser Scanning and Radio Frequency Identification) instead of time consuming and error-prone reports produced as a result of inspections. First, an overview of the past researches is presented in the area and outlines the processes required to implement these tools. It provides a discussion on information about damage, and how it could be captured using laser scanners and processed for a more objective and information-driven damage assessment practice. In addition to damage information, the paper suggests an outlook for integrating these systems and Building Information Modeling (BIM) for real-time project information management to streamline the damage assessment process. Aim of this research based on representing crack information. Compiling this information with BIM approach and a damage modeling software, results as-damaged instance models using Industry Foundation Class (IFC) exchange schema. In order to support damage assessment, three activities have to be taken into account: I) necessities recognized based on accepted damage assessment specifications; II) abilities of IFC explored for expressing crack parameters; III) recommendations provided for using existing concepts in IFCs for representing cracks.

Keywords: Earthquake Damage Assessment, Building Information Modeling, Industry Foundation Classes, Crack

DOI: https://doi.org/10.24928/JC3-2017/0257

Full text: content.pdf (302,620 bytes) (available to registered users only)

Series: jc3:2017 (browse)
Cluster:
Class:
Similar papers:
Sound: N/A.

 

hosted by University of Ljubljana



includes

W78




© itc.scix.net 2003
Home page of this database login Powered by SciX Open Publishing Services 1.002 February 16, 2003