School of Engineering Department of Civil and Environmental Engineering 93 On-Site Monitoring of Structural Dynamic Behavior with Accelerometers and Raspberry Pi Supervisor: ZHANG Shenghan / CIVL Student: CHAN Wai Kit / CIVL Course: UROP 1100, Spring This report investigates the dynamic behavior of buildings by analyzing vibrational acceleration data obtained from accelerometer sensors using existing data-driven methods. Time series acceleration data were collected and segmented to evaluate statistical parameters and dynamic properties by applying timedomain and frequency-domain analysis—including the Fast Fourier Transform (FFT) and Welch’s method. The study emphasizes the significance of data-driven analysis in detecting dynamic response, structural integrity, and performance. The results reveal our campus building’s mean, standard deviation, RMS, peak acceleration, dominant frequency, and damping ratio, establishing a quantitative baseline for monitoring and demonstrating the value of SHM in ensuring building safety and resilience. Project Financing Strategies for Major Infrastructure Projects Supervisor: ZHANG Xueqing / CIVL Student: HUI Tsun Ki / CIVL Course: UROP 1000, Summer Project finance is an important instrument for developing infrastructure projects via a special purpose vehicle. The key issues in project finance are to create a bankable business case for a mature project and formulate a workable multidisciplinary project execution mechanism to meet the interests of business and society. This project aims to develop useful strategies for developing major infrastructure projects through project finance. For my part of this project, I will only focus on the implementation of Public-Private Partnerships. Project Financing Strategies for Major Infrastructure Projects Supervisor: ZHANG Xueqing / CIVL Student: LEE Ching Wai / CIVL Course: UROP 2100, Fall UROP 3100, Spring This report reviews the major financial models currently used in Hong Kong, highlighting their limitations by comparing them with overseas practices. Key pitfalls identified include overly optimistic financial projections lacking sufficient support and inadequate consideration of macroeconomic and entity-specific factors, which can lead to inflated valuations. By examining these challenges in the context of international standards, the report aims to provide a critical assessment of Hong Kong’s modeling approaches. Building on this analysis, we propose the development of a robust financial model tailored to ongoing projects, incorporating best practices such as comprehensive data gathering, interconnected financial statements, and sensitivity analyses to enhance accuracy and decision-making reliability. This model will also consider Hong Kong’s unique regulatory, economic, and market environment to better support strategic planning and risk management.
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