Critical review of data-driven decision-making in bridge operation and maintenance

C Wu, P Wu, J Wang, R Jiang, M Chen… - Structure and …, 2021 - Taylor & Francis
Bridges are critical infrastructure, and effective operation and maintenance (O&M) is
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …

A review of active structural control: challenges for engineering informatics

S Korkmaz - Computers & Structures, 2011 - Elsevier
An active structure is an engineering structure containing sensors and actuators that, when
active, modify the response of the structure to its environment. Research into active structural …

Toward data-driven structural health monitoring: Application of machine learning and signal processing to damage detection

Y Ying, JH Garrett Jr, IJ Oppenheim… - Journal of Computing …, 2013 - ascelibrary.org
A multilayer data-driven framework for robust structural health monitoring based on a
comprehensive application of machine learning and signal processing techniques is …

Temperature-based structural health monitoring baseline for long-span bridges

MT Yarnold, FL Moon - Engineering Structures, 2015 - Elsevier
A core prerequisite of an effective structural health monitoring (SHM) system is the
development and characterization of a baseline response that is sensitive to meaningful …

A distributed multi-model-based management information system for simulation and decision-making on construction projects

RJ Scherer, SE Schapke - Advanced Engineering Informatics, 2011 - Elsevier
The conceptual development of a Management Information System to support decision
making on construction projects across all management levels within the owner and the …

Predicting thermal response of bridges using regression models derived from measurement histories

R Kromanis, P Kripakaran - Computers & Structures, 2014 - Elsevier
This study investigates the application of novel computational techniques for structural
performance monitoring of bridges that enable quantification of temperature-induced …

[HTML][HTML] Data-driven modeling of long temperature time-series to capture the thermal behavior of bridges for SHM purposes

S Mariani, A Kalantari, R Kromanis… - Mechanical Systems and …, 2024 - Elsevier
Bridges experience complex heat propagation phenomena that are governed by external
thermal loads, such as solar radiation and air convection, as well as internal factors, such as …

Design and implementation of a new system for large bridge monitoring—GeoSHM

X Meng, DT Nguyen, Y Xie, JS Owen, P Psimoulis… - Sensors, 2018 - mdpi.com
Structural Health Monitoring (SHM) is a relatively new branch of civil engineering that
focuses on assessing the health status of infrastructure, such as long-span bridges. Using a …

[图书][B] Computer Applications in Engineering and Management

P Berwal, JS Dhatterwal, KS Kaswan, S Kant - 2022 - taylorfrancis.com
The book Computer Applications in Engineering and Management is about computer
applications in management, electrical engineering, electronics engineering, and civil …

Support vector regression for anomaly detection from measurement histories

R Kromanis, P Kripakaran - Advanced Engineering Informatics, 2013 - Elsevier
This research focuses on the analysis of measurements from distributed sensing of
structures. The premise is that ambient temperature variations, and hence the temperature …