To read this content please select one of the options below:

Technology-based multi-tiered building diagnosis framework

Faisal Faqih (Department of Building and Real Estate, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)
Tarek Zayed (Department of Building and Real Estate, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)
Ghasan Alfalah (Department of Architecture and Building Sciences, College of Architecture and Planning, King Saud University, Riyadh, Saudi Arabia)

International Journal of Building Pathology and Adaptation

ISSN: 2398-4708

Article publication date: 4 January 2021

Issue publication date: 3 February 2022

402

Abstract

Purpose

A building deteriorates over time due to aging, wear and tear, and inadequate maintenance. Building diagnosis requires a sound knowledge of engineering, building defects, and detection tools to assess the condition of a building. The physical deterioration of a building reduces its ability to perform its intended function, while environmental deterioration influences the comfort and health of building occupants. This study presents a multi-tiered framework for the inspection of building elements and the environmental conditions of a building.

Design/methodology/approach

A three-tiered building inspection framework is proposed in this study, which consists of the following: Tier-I—a preliminary inspection, Tier-II—a detailed inspection, and Tier-III—an expert investigation. Each tier of inspection assesses the severity of building defects using different technologies for different levels of inspection.

Findings

Proposed multi-tier inspection framework is tested and implemented on a case study. Results were promising, with organized data management on a common platform for both physical and environmental condition inspection having the potential to save time.

Originality/value

The application program developed for the implementation of structured multi-tiered building inspection provides better documentation and data management for building inspection data that can save time involved in manual data operations in traditional paper-based processes.

Keywords

Acknowledgements

The authors would like to acknowledge and express their sincere gratitude to the Hong Kong Polytechnic University, Grant No. ZE92, for supporting this study.

Citation

Faqih, F., Zayed, T. and Alfalah, G. (2022), "Technology-based multi-tiered building diagnosis framework", International Journal of Building Pathology and Adaptation, Vol. 40 No. 1, pp. 101-133. https://doi.org/10.1108/IJBPA-10-2020-0088

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

Related articles