Dionysius M. Siringoringo

IAS Assoc. Professor

Yokohama Kokuritsu Daigaku

Japan

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Dionysius M. Siringoringo is an Associate Professor at Yokohama Kokuritsu Daigaku in Japan. His research focuses on seismic safety and structural performance of bridges and buildings, with recent publications addressing topics such as seismic excitation impacts on highway bridges, vortex-induced vibration mitigation, and machine learning applications for bridge condition assessment. He contributes to advancing knowledge in structural engineering through data-driven approaches and innovative monitoring techniques.

Dionysius M. Siringoringo

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Articles (16)

Driving conditions and safety analyses of vehicles moving on highway bridges under seismic excitations

Seismic-induced damage and restoration of rigid-frame reinforced concrete abutments for high-speed trains

Identification of Vortex-Induced Vibration on the Osman Gazi Suspension Bridge Tower and Mitigation by an Active Mass Damper

Seismic evaluation and retrofit of a typical reinforced concrete hospital building in Indonesia with DCFP isolation system

Data-based feature representation of traffic flow for predicting bridge displacement responses with ensemble learning model

Interpretable machine learning methods for clarification of load-displacement effects on cable-stayed bridge

Predicting bridge longitudinal displacement from monitored operational loads with hierarchical CNN for condition assessment

Long-term continuous seismic monitoring of multi-span highway bridge and evaluation of bearing condition by wireless sensor network

Stereovision-based vibration measurement of stay cable using synchronized multi-camera setup and video motion magnification

Cumulative displacement-based detection of damper malfunction in bridges using data-driven isolation forest algorithm

Condition assessment of seismically isolated multi-span highway bridge bearings using recorded and simulated seismic responses

Seismic design and performance evaluation of typical lightweight and heavyweight RC girder bridges with friction pendulum bearing in Indonesia

Stay cable tension estimation of cable‐stayed bridge under limited information on cable properties using artificial neural networks

Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method

Wavelet-Based Analysis for Detection of Isolation Bearing Malfunction in a Continuous Multi-Span Girder Bridge

Simulations on Reliability-based Safety Assessment of Vehicles Crossing Highway Interchanges during Earthquakes

Collaborators (3)

Zhen Sun

Hiroshi Katsuchi

Yozo Fujino

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