Publications by Irwanda Laory | EPFL Graph Search

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Most civil engineering infrastructures, especially bridges worldwide, are approaching the end of their designed lifespan. They are continuously deteriorating due largely to material aging, excessive loads and changing environments. Therefore, it is crucial ...

In vibration-based structural health monitoring, changes in the natural frequency of a structure are used to identify changes in the structural conditions due to damage and deterioration. However, natural frequency values also vary with changes in environm ...

A hard challenge associated with infrastructure monitoring is to extract useful information from large amounts of measurement data in order to detect changes in structures. This paper presents a hybrid model-free approach that combines two model-free metho ...

Measurement system configuration is an important task in structural health monitoring in that decisions influence the performance of monitoring systems. This task is generally performed using only engineering judgment and experience. Such approach may resu ...

Interpreting measurement data from continuous monitoring of civil structures for structural health monitoring (SHM) is a challenging task. This task is even more difficult when measurement data are influenced by environmental variations, such as temperatur ...

Interpreting measurement data to extract meaningful information for damage detection is a challenge for continuous monitoring of structures. This paper presents an evaluation of two model-free data interpretation methods: moving principal component analysi ...

The aim of structural performance monitoring is to infer the state of a structure from measurements and thereby support decisions related to structural management. Complex structures may be equipped with hundreds of sensors that measure quantities such as ...

This paper presents a new model-free data-interpretation approach for damage detection of bridges using long-term monitoring data. The approach combines two model-free methods: Moving Principal Component Analysis (MPCA) and Robust Regression Analysis (RRA) ...

Despite the recent advances in sensor technologies and data-acquisition systems, interpreting measurement data for structural monitoring remains a challenge. Furthermore, because of the complexity of the structures, materials used, and uncertain environmen ...

Results of two doctoral theses, one using a model-based approach and the other using model-free methods, are summarized. Both included case studies of full-scale bridges. While model-based approaches are appropriate for individual infrastructure-management ...

In order to achieve reliable information about deterioration, it is important to differentiate between changes in structural behaviour due to service loading (temperature, wind and traffic) and changes resulting from damage when interpreting measurement da ...

Designing a measurement system is usually performed using only engineering judgment and experience. Thus, it may result in either a large amount of redundant data or insufficient data leading to ambiguous results. This paper presents a systematic approach ...

A good measurement system improves capability to identify the behavior of civil engineering structures. This paper presents a measurement-system design approach for continuous monitoring of structures. This approach performs two tasks: (1) determining the ...

Irwanda Laory

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Model-Free Methodologies for Data-Interpretation during Continuous Monitoring of Structures

Methodologies for predicting natural frequency variation of a suspension bridge

A Hybrid Model-Free Data-Interpretation Approach For Damage Detection During Continuous Civil-Infrastructure Monitoring

Measurement System Configuration for Damage Identification of Continuously Monitored Structures

Performance of two model-free data interpretation methods for continuous monitoring of structures under environmental variations

Evaluating two model-free data interpretation methods for measurements that are influenced by temperature

Structural identification through continuous monitoring: data cleansing using temperature variations

A model-free data-interpretation approach for long-term monitoring of bridges

Combined Model-Free Data-Interpretation Methodologies for Damage Detection during Continuous Monitoring of Structures

Structural identification methods for full-scale bridges

Effects of service loading on the behaviour of a suspension bridge

Measurement system design for damage detection using model-free data interpretation methods

Designing measurement systems for continuous monitoring of structures

Temperature Variations as Loads Cases for Structural Identification