Cao, W (2019) Data interpretation for infrastructure system diagnosis and prognosis based on model falsification. PhD thesis, National University of Singapore, Singapore.
Abstract
Measurements obtained from sensors enable engineers to evaluate the condition of existing infrastructure systems, thus providing valuable information for asset managers. With the evolution, miniaturization and cost reductions in sensors, data acquisition systems and digital computing hardware, various kinds of measurements and real time monitoring are available. However, interpreting the data that is collected from sensor networks remains a challenge. This thesis focuses on the data interpretation for infrastructure-system diagnosis and prognosis. The infrastructure systems examined in this thesis include train-track systems, vehicular bridges and footbridges. The author has contributed in four significant aspects: (1) enhancing static load test identification of bridges using dynamic data, (2) time-series data interpretation for wheel flat identification including uncertainties, (3) vibration serviceability assessment for pedestrian bridges, and (4) economic benefit of the updated bridge loading capacity in toll highways.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Koh, C G and Smith, I F C |
| Uncontrolled Keywords: | sensors; vibration; computing; monitoring; time series; measurement; bridge; footbridge; highway |
| Index terms: | evolution, computing, cost reduction, pedestrian, vibration, data acquisition system, time series, manager, toll, static load, monitoring, real time, hardware, loading, footbridge, engineer |
| Subjects: | practitioner, environmental science, construction operations, structural engineering, transportation engineering, profession, mechanical systems, computer hardware, computing systems, control systems, data science, economics, data management, project controls, sociology, infrastructure and transport systems |
| Topics: | Research Practice, Cost Management, Roles and Professions, Stakeholder Management, Digital Applications, Time Control, Site Management, Engineering Principles, Sustainability |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here