Structural Building Condition Reviews: Beyond Distress

D’Aloisio, James A.

doi:10.1061/9780784480397.025

Cited by 3 publications

(5 citation statements)

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“…Therefore, a well trained and experienced professional is essential for correct building diagnosis, as an experienced professional will be able to interpret the test results more accurately. Every inspection technique has limitations that should also be understood by inspection personnel (D'Aloisio, 2017). Estimation of the extent and severity of defects based on test results of instruments and equipment will have an impact on the overall building assessment.…”

Section: Discussionmentioning

confidence: 99%

“…Visually inspecting spalling of concrete, cracks in beams, columns, and extensive deformation of beams, leakage, and dampness in the building is still one of the easiest and most reliable methods of assessing the condition of a building (D'Aloisio, 2017). Visual inspection is one of the quickest and cheapest non-destructive inspection techniques; however, it is also very subjective and highly dependent on the competency and experience of inspection personnel.…”

Section: Building Defects and Inspection Technologiesmentioning

confidence: 99%

“…The tapping hammer test is used to detect the spalled debonded concrete or tiles on walls. Defects can be identified by listening to the “void” sound created when tapping the hammer (D'Aloisio, 2017). The hammer tapping test is a comparatively cheaper alternative to other NDT tests.…”

Section: Building Defects and Inspection Technologiesmentioning

confidence: 99%

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Technology-based multi-tiered building diagnosis framework

Faqih

Zayed

Alfalah

2021

IJBPA

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PurposeA 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/approachA 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.FindingsProposed 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/valueThe 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.

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Section: Discussionmentioning

confidence: 99%

Section: Building Defects and Inspection Technologiesmentioning

confidence: 99%

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Technology-based multi-tiered building diagnosis framework

Faqih

Zayed

Alfalah

2021

IJBPA

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“…The IoU cost in SIoU is the same as the normal IoU and is calculated using (10). The overall loss calculation formula for SIoU is shown below.…”

Section: Iou Costmentioning

confidence: 99%

“…Visual inspection is an easy and trustworthy method to evaluate the condition of a building façade [10]. Conventional building façade inspection usually requires professionals with specialized tools to reach the inspection location, where visual observation, hammering, and other techniques are utilized for the assessment.…”

Section: Introductionmentioning

confidence: 99%

BFD-YOLO: A YOLOv7-Based Detection Method for Building Façade Defects

Wei,

Wan,

Zhou

et al. 2023

Electronics

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Façade defects not only detract from the building’s aesthetics but also compromise its performance. Furthermore, they potentially endanger pedestrians, occupants, and property. Existing deep-learning-based methodologies are facing some challenges in terms of recognition speed and model complexity. An improved YOLOv7 method, named BFD-YOLO, is proposed to ensure the accuracy and speed of building façade defects detection in this paper. Firstly, the original ELAN module in YOLOv7 was substituted with a lightweight MobileOne module to diminish the quantity of parameters and enhance the speed of inference. Secondly, the coordinate attention module was added to the model to enhance feature extraction capability. Next, the SCYLLA-IoU was used to expedite the rate of convergence and increase the recall of the model. Finally, we have extended the open datasets to construct a building façade damage dataset that includes three typical defects. BFD-YOLO demonstrates excellent accuracy and efficiency based on this dataset. Compared to YOLOv7, BFD-YOLO’s precision and mAP@.5 are improved by 2.2% and 2.9%, respectively, while maintaining comparable efficiency. The experimental results indicate that the proposed method obtained higher detection accuracy with guaranteed real-time performance.

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