Statistical Analysis on Belgian Building Defects

Vos, Jasmijn De; Blommaert, Anke; Bossche, Nathan Van Den

doi:10.23967/dbmc.2020.130

Cited by 4 publications

(17 citation statements)

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“…The papers of De Vos et al [8] and Van Deen Bossche et al [9] were based on a collection of building defects cases from 1991 to 2019, provided by the largest Belgian insurance company. The total amount of cases collected was 27,074, which were processed and filed by jurists or engineers.…”

Section: Insurance Company Databasementioning

confidence: 99%

“…The total amount of cases collected was 27,074, which were processed and filed by jurists or engineers. Of these cases, De Vos et al [8] selected four categories to analyse, which included problems with moisture, stability, cracking, and residential nuisance. These categories included 13,068 of the total number of cases.…”

Section: Insurance Company Databasementioning

confidence: 99%

“…Finding patterns by systematically collecting data was the main purpose of De Vos et al [8], who used the collected data from an insurance company to analyse the different types of defects and their frequency in relation to the construction time by systematically mapping the defects. The analysis found that 49% of all technical defects were moisture problems, and the roof (25%) and basement (21%) were the common locations for problems to occur.…”

Section: Systematization In Data Collectionmentioning

confidence: 99%

“…To reduce costs, time, and emissions related to buildings, building defects need proper attention so that the stakeholders can gain important knowledge about the issue [6]. A better understanding of defect causes will form a base for improving the quality of buildings [7], thus it is important to gather building defect information systematically and to identify patterns and relations [8][9][10]. Today it is 2 possible to gain insight from a range of different building defect information sources if provided access to them, for example, by using machine learning and artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

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Lessons Learned from Different Types of Building Defect Information Sources

Berg Oppedal,

Kvande

2024

Preprint

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Building defects are very prevalent and contribute significantly to a building's economic value. There are numerous information sources on building defects that have a lot potential for learning more about building defects. This study aimed to identify the information sources used in previous building defect studies and to identify the motivation for carrying out such studies. To fulfil this aim a scoping study was carried out. The information sources identified included insurance companies, private databases, questionnaire surveys, lawsuits, building surveys, client complaint forms, and maintenance reports. This study found that insurance company and client complaint forms include the largest collection of real building defect cases, but such databases may lack detailed descriptions of the causes of the defects. The main purposes of building defects studies identified here included design challenges, identification of defects, building maintenance management, quality management, systematization in data collection, providing an overview of typical defects, and classifying defects. Identification was found to be the most common purpose, indicating that the industry wants to learn more. This study identified research gaps in the climate perspective in relation to building defects. Most of the studies focused on the economical perspective, and none focused on the carbon footprint perspective.

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Section: Insurance Company Databasementioning

confidence: 99%

Section: Insurance Company Databasementioning

confidence: 99%

Section: Systematization In Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lessons Learned from Different Types of Building Defect Information Sources

Berg Oppedal,

Kvande

2024

Preprint

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“…Moisture is the most common cause of premature building deterioration with rainwater infiltration due to execution defects being the number one source of moisture in the building envelope [1][2][3][4][5]. Rainwater may infiltrate across the exterior cladding surface through intentional or unintentional openings.…”

Section: Introductionmentioning

confidence: 99%

Modelling Rain Water Ingress in Hygrothermal Simulations

Van Den Bossche,

Van Linden

2023

J. Phys.: Conf. Ser.

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The hygrothermal response of building envelope components is often studied by means of numerical Heat-Air-Moisture (HAM) simulation models. There models aim to capture the most important physics that affect the transport and storage of heat and moisture due to climatic excitations. For a lot of climates and components the wind driven rain load is the main driver for moisture uptake in the construction, and as well, the trigger of important degradation phenomena e.g., freeze-thaw damage, mold growth, wood decay, corrosion, salt transport, algae growth. When building components are subjected to wind driven rain loads and driving rain wind pressures, capillary uptake in porous materials is typically considered in models, but rain water often infiltrates directly into different layers of the construction and these infiltrations may have a significant impact on the hygrothermal behavior. This paper offers a straightforward methodology to take the rain water management of building envelope components into account in hygrothermal simulations. For different types of façade systems a categorical approach is presented to simulate rain water ingress into the different layers. Next to that, also the drainage and retention is discussed in detail. Finally, this methodological approach is embedded in the SAMiRA-framework, which comprises 3 performance levels for each input parameter of the simulations: (i) Superior, (ii) Advanced, (iii) Minimum Requirement Approach. Hence, 3 different levels are offered to implement rainwater infiltration in hygrothermal simulations.

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Review of rainwater infiltration rates in wall assemblies

Linden

Bossche

2022

Building and Environment

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Statistical Analysis on Belgian Building Defects

Cited by 4 publications

References 0 publications

Lessons Learned from Different Types of Building Defect Information Sources

Lessons Learned from Different Types of Building Defect Information Sources

Modelling Rain Water Ingress in Hygrothermal Simulations

Review of rainwater infiltration rates in wall assemblies

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