Special Issue on Real-World Applications of Structural Identification and Health Monitoring Methodologies

Moaveni, Babak; Hurlebaus, Stefan; Moon, Franklin

doi:10.1061/(asce)st.1943-541x.0000779

Cited by 22 publications

(12 citation statements)

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“…However, the dynamic properties, that is, natural frequencies, mode shapes, and damping ratios, are vulnerable to the environmental loads such as wind, traffic, and temperature, which makes it prone to false diagnosis . Many researchers have been focusing on the relationships between the dynamic properties and the environmental loads especially for eliminating the temperature effects . For example, Sohn et al presented an adaptive filter for predicting changes in bridge modal parameters due to environmental temperature, and data from the Alamosa Canyon Bridge in New Mexico were employed to demonstrate the applicability of the adaptive filter.…”

Section: Introductionmentioning

confidence: 99%

Investigation of dynamic properties of long-span cable-stayed bridges based on one-year monitoring data under normal operating condition

Mao

Wang

Feng

et al. 2018

Struct Control Health Monit

136

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Environmental factors, such as temperature, traffic, and wind, play an important role on the variations of dynamic properties of long-span cable-stayed bridges. The dynamic characteristics of Sutong Cable-Stayed Bridge (SCB), including acceleration and strain responses as well as modal frequencies, are investigated using one-year continuous monitoring data under operating conditions by the structural health monitoring system. The in situ wind characteristics and structural temperature behavior of SCB are also analyzed.More than 99% of the wind speed values are smaller than 16 m/s; and the largest temperature variation of the main girder exceeds 60°C. Besides, acceleration and strain, root mean square (RMS) data are both normalized using the Z-score standardization method. Relation analysis between the normalized acceleration and strain RMS values is conducted based on the time-history comparison and linear least square fitting. Results show that both of the processed acceleration and strain RMS values could properly describe the variation trend of the traffic load, although variation amplitudes of the two normalized parameters differ from each other. In addition, one-year continuous modal frequencies of SCB are identified using Hilbert-Huang transform method.Variability analysis of the structural modal frequencies due to environmental temperature and operational traffics is then conducted. Results show that temperature is the most important environmental factor for vertical and torsional modal frequencies. The traffic load is the second critical factor especially for the fundamental vertical frequency of SCB. Research results could provide references for damage detection and safety evaluation for similar long-span cable-stayed bridges.

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Section: Introductionmentioning

confidence: 99%

Investigation of dynamic properties of long-span cable-stayed bridges based on one-year monitoring data under normal operating condition

Mao

Wang

Feng

et al. 2018

Struct Control Health Monit

136

View full text Add to dashboard Cite

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“…The single most important requirement is to make the model and simulations sufficiently complete, that is, incorporating all of the critical mechanisms that may govern the kinetics and kinematics as well as proper choice of the scenarios that will be simulated by the model given the drivers of the application. 24 The potential gains from this are very substantial since it is estimated that US$2.2 trillion investment is required to bring the infrastructure of the United States alone to a satisfactory standard, 1 and improved models of the existing structures would enable this work to be prioritised intelligently. The role of St-Id in decision-making can be seen as a reduction in the uncertainty premium; better understanding of the performance of constructed systems gives better estimates of vulnerability, and hence makes reduction in the uncertainty premium (safety factor) possible.…”

Section: Engineeringmentioning

confidence: 99%

“…Global monitoring of large structures-this started with attempts to detect localised damage from a small number of measurements, but is now often Structural Identification-developing a numerical model of a dynamic system based on its measured response, with emphasis on assessment of the health and performance of the structure, as well as decisionmaking regarding its maintenance and/or rehabilitation. 1 This is applied to large structures such as bridges and is unlikely to be sensitive enough to detect localised damage reliably, unless it is extremely severe. 3.…”

Section: Introductionmentioning

confidence: 99%

Structural health monitoring: Closing the gap between research and industrial deployment

Cawley

2018

Structural Health Monitoring

291

203

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There has been a large volume of research on structural health monitoring since the 1970s but this research effort has yielded relatively few routine industrial applications. Structural health monitoring can include applications on very different structures with very different requirements; this article splits the subject into four broad categories: rotating machine condition monitoring, global monitoring of large structures (structural identification), large area monitoring where the area covered is part of a larger structure, and local monitoring. The capabilities and potential applications of techniques in each category are discussed. Condition monitoring of rotating machine components is very different to the other categories since it is not strictly concerned with structural health. However, it is often linked with structural health monitoring and is a relatively mature field with many routine applications, so useful lessons can be read across to mainstream structural health monitoring where there are many fewer industrial applications. Reasons for the slow transfer from research to practical application of structural health monitoring include lack of attention to the business case for monitoring, insufficient attention to how the large data flows will be handled and the lack of performance validation on real structures in industrial environments. These issues are discussed and ways forward proposed; it is concluded that given better focused research and development considering the key factors identified here, structural health monitoring has the potential to follow the path of rotating machine condition monitoring and become a widely deployed technology.

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“…The objective of St‐Id is to realize an analytical model of a dynamic system based on measured responses for quantitative and mechanistic baseline characterizations. Recently, the need for St‐Id has been highlighted to close the gap of applications between small‐scale models in the laboratory and real‐world structures (Catbas and Kijewski‐Correa, ; Moaveni et al., ).…”

Section: Introductionmentioning

confidence: 99%

Seismic Data‐Driven Identification of Linear Models for Building Structures Using Performance and Stabilizing Objectives

Shan

Ouyang

Yuan

et al. 2016

Computer aided Civil Eng

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A two-stage dual-objective structural identification method is presented in this article. The complexity of the identification of story-level physical models for large-scale building structures is first addressed through a comparative study. A stiffness variation-based stabilizing objective is proposed to be necessarily incorporated into iterative optimization with the classical performance objectives to improve the model feasibility, and an area-type evaluation index is subsequently proposed for the stopping criteria. Accordingly, a two-stage differential evolution-based dual-objective optimization framework is presented for the computation of Pareto fronts for nondominated candidate solutions. Then, the proposed method is investigated using two illustrative examples, including a nine-story benchmark structure, and a real-world seven-story reinforced concrete structure. A series of condensed models are identified from the nondominated solutions on the Pareto front. The prediction performance of the single-objective optimal model and the dual-objective acceptable models is compared using the overall discrepancies of acceleration, interstory drift, and modal properties, within both estimation and

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Special Issue on Real-World Applications of Structural Identification and Health Monitoring Methodologies

Cited by 22 publications

References 0 publications

Investigation of dynamic properties of long-span cable-stayed bridges based on one-year monitoring data under normal operating condition

Investigation of dynamic properties of long-span cable-stayed bridges based on one-year monitoring data under normal operating condition

Structural health monitoring: Closing the gap between research and industrial deployment

Seismic Data‐Driven Identification of Linear Models for Building Structures Using Performance and Stabilizing Objectives

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