In My Own Words
Circularity in Civil Engineering
The Engineering and Construction (E&C) industry is the world's largest raw materials consumer, responsible for 36% of final energy use and 39% of energy and process-related carbon dioxide emissions in 2018. Keeping the current "design-construction-operation-demolition" linear life cycle is not environmentally sustainable and not financially feasible.
Dr. Cao has joined the Department of Engineering Structures, Faculty of Civil Engineering and Geosciences, TU Delft. She will lead in developing the fundamental understanding of circularity in the design, construction, operation, maintenance and repair cycle of civil infrastructure.
Cyber Civil Infrastructure
Data Interpretation for Infrastructure Systems Diagnosis and Prognosis
The evolution, miniaturization and cost reductions in sensors, data acquisition systems and digital computing hardware, offer new opportunities in the condition assessment of existing infrastructure systems. The increased accuracy and data volume also raises more complex scenarios yet more challenges in data integration, data selection and system identification methodologies.
Dr. Cao has worked on this research line during her Ph.D. research. The contributions include:
Data Integration: Enhancing static-load-test identification of bridge using dynamic data
Data Selection: Time-series data interpretation for "Wheel-flat identification"
Vibration serviceability assessment for pedestrian bridges
Smart city operation for toll highways using updated bridge loading capacity
Publication
Monograph & Book Chapters
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Wen-Jun Cao, C. G. Koh, I. F. C. Smith, "Data Interpretation for infrastructure system diagnosis and prognosis", Taylor & Francis, expected to be published in April 2022
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“Future Cities Laboratory Indicia 03”, Lars Müller Publishers, 2021
Journal Papers
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Wang-Sheng Liu, C. G. Koh, M. Raubal, Wen-Jun Cao*. “A convolutional autoencoder with downstream task awareness for data-driven inverse analysis”. In Preparation.
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Wen-Jun Cao*, “Circularity assessment for existing civil infrastructure”. In Preparation
* corresponding author
Conference Papers
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Wen-Jun Cao, “Train wheel flat detection based deep learning”, Joint International Resilience Conference 2020, Nov 23-27, 2020, online.
Honors & Awards
YONGNAM Medal and Prize, for PhD research. Department of Civil and Environmental Engineering, National University of Singapore (2021).
Singapore ETH Centre (SEC) - NUS Scholarship 2016
Third Award of Excellent Consulting Projects in Shanghai, 2013