Mohamed, M and Tran, D Q (2021) Risk-based inspection model for hot mix asphalt pavement construction projects. Journal of Construction Engineering and Management, 147(6): 78622053, ISSN 0733-9364
Abstract
Hot mix asphalt (HMA) is a critical component in highway construction projects. There is a lack of studies that have investigated the causal relationship between inspection activities and quality of HMA pavement. This study addresses this knowledge gap by developing a risk-based analysis model. The model includes 14 HMA critical inspection activities. The fuzzy set theory (FS) was incorporated into the model to overcome the linguistic nature of the collected data. Bayesian belief networks (BBN) were used to investigate the causal relationship between the model variables. A case study was conducted to test and verify the model. The model is capable of calculating the probability of HMA risk levels, identifying the most likely potential causes of quality shortfall risk, and providing guidance to mitigate the risk via three risk scenarios. This study contributes to the construction engineering and management body of knowledge by proposing a risk-based inspection model to investigate the impact of risk on HMA pavement quality. The proposed model may help transportation agencies optimize inspection resources by updating probabilities based on actual inspection results.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Bayesian belief networks; fuzzy set; hot mix asphalt; quality assurance; risk-based inspection |
| Index terms: | asphalt pavement, inspection, bayesian belief network, fuzzy set, construction engineering, case study, construction project, body of knowledge, quality assurance, highway construction, transportation agency, fuzzy set theory |
| Subjects: | engineering methods, decision-making and optimization, production management, probabilistic model, civil engineering, transportation engineering, data collection methods, infrastructure and transport systems, quality assurance, knowledge management |
| Topics: | Quality Management, Project Management, Engineering Principles, Information Management, Digital Applications, Research Practice |
| Descriptive scope: | 5 PCTEA |
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