Resilience Engineering Research Group
 

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Suci Primadiyanti

Postgraduate researchers,

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Biography

I am a Postgraduate Researcher (PhD candidate) in Civil Engineering at the University of Nottingham. My research focuses on the integration of structural health monitoring (SHM) data with risk-based asset management approaches for railway bridges.

I am particularly interested in the use of multi-sensor data, including acceleration, strain, displacement, and temperature measurements, to support condition assessment, predictive maintenance, and decision-making for ageing bridge infrastructure. My doctoral research aims to improve the reliability and practical application of SHM systems for infrastructure management, with a specific focus on railway bridges in Indonesia.

Expertise Summary

• Structural health monitoring (SHM) for bridge infrastructure • Railway bridge engineering and asset management • Multi-sensor data analysis (acceleration, strain, displacement, temperature) • Vibration-based structural assessment and natural frequency analysis • Risk-based maintenance and decision-support frameworks • Integration of monitoring data with numerical and analytical models

Research Summary

My current doctoral research focuses on the integration of structural health monitoring (SHM) data with risk-based asset management frameworks for railway bridges. The research uses long-term,… read more

Current Research

My current doctoral research focuses on the integration of structural health monitoring (SHM) data with risk-based asset management frameworks for railway bridges. The research uses long-term, in-service monitoring data collected from multiple sensors, including accelerometers, strain gauges, displacement sensors, and temperature sensors installed on a steel railway bridge.

The study investigates how vibration characteristics, structural response, and environmental effects can be combined to support condition assessment, damage detection, and predictive maintenance strategies. Numerical modelling is used to support the interpretation of monitoring data and to improve the reliability of decision-making for ageing railway bridge infrastructure.

Past Research

Prior to starting the PhD, my academic background was in civil and transportation engineering, with experience related to railway bridge engineering and infrastructure systems.

Future Research

Future research will explore the further integration of structural health monitoring data with decision-support tools for infrastructure asset management. This includes the development of indicators to support risk-based maintenance planning and the evaluation of monitoring data within digital and data-driven asset management frameworks.

The research aims to contribute to more practical and reliable applications of monitoring systems for railway bridges, particularly in supporting long-term maintenance strategies and infrastructure resilience.

Resilience Engineering Research Group

The University of Nottingham
Pavement Research Building
University Park
Nottingham, NG7 2RD


telephone: +44 (0)115 84 67366
email: r.remenyte-prescott@nottingham.ac.uk