Model updating of a historic concrete bridge by sensitivity- and global optimization-based Latin Hypercube Sampling

Ferrari, Rosalba; Froio, Diego; Rizzi, Egidio; Gentile, Carmelo; Chatzi, Eleni

doi:10.1016/j.engstruct.2018.08.004

Cited by 82 publications

(56 citation statements)

References 51 publications

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“…Since it was proposed in 1979, LHS has been an important method in the field of the ''Filling a Space'' design, and it is also a widely used method at present [20]- [22]. The sampling…”

Section: A Optimal Latin Hypercube Sampling By the Quasi-optimizatiomentioning

confidence: 99%

Utilizing Statistical Information for Interval Analysis: A Method for Analyzing the Interval Uncertainty of Line-of-Sight Measurement Error of Space-Borne Observation Platforms

Ding

Yang

et al. 2020

IEEE Access

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Analyzing the space-borne observation platform's line-of-sight measurement error (SOPLME) is of great significance for the improvement of the space-borne optical tracking system. In this regard, we consider the space-borne observation platform (SOP) as a multi-body system and build both the target imaging model from the inertial space to the optical camera image plane and the line-of-sight measurement model. The relationship between the SOPLME and the satellite's orbit error, attitude error, platform angular vibration error, inner and outer frame rotation error, and position quantization error of target image point is deduced theoretically. However, since there are many error sources and the modeling process is highly nonlinear, the amplification of the output range caused by the ''wrapping effect'' may occur when using the interval calculation method to analyze the output range of the SOPLME. To solve this problem, we propose a novel method of interval analysis by using statistical information. This method combines the convenience of interval representation with the high accuracy of probability calculation, which can effectively avoid the overestimation problem caused by the inherent ''wrapping effect'' of the interval calculation method. Firstly, we describe the parameters of each error source with the interval constructed by upper and lower bounds. Secondly, the optimal Latin hypercube sampling (LHS) matrix of error source parameters is designed by the quasi-optimization method. Then we use the Gaussian mixture model (GMM) to approximate the distribution function of the SOPLME. Finally, the output range of the SOPLME is estimated by Taylor expansion. The simulation test verifies the reliability of the model and interval calculation method in this paper. The simulation example shows that the proposed method can get a more reliable error output interval with less sampling amount, which is suitable for analyzing the dynamic process of the output interval of the SOPLME. INDEX TERMS Space-borne observation platform, line-of-sight measurement error, interval analysis, Latin hypercube sampling, Gaussian mixture model.

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“…Since it was proposed in 1979, LHS has been an important method in the field of the ''Filling a Space'' design, and it is also a widely used method at present [20]- [22]. The sampling…”

Section: A Optimal Latin Hypercube Sampling By the Quasi-optimizatiomentioning

confidence: 99%

Utilizing Statistical Information for Interval Analysis: A Method for Analyzing the Interval Uncertainty of Line-of-Sight Measurement Error of Space-Borne Observation Platforms

Ding

Yang

et al. 2020

IEEE Access

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“…Dealing with the structural engineering context in general terms, virtuous examples in which SHM procedures have been successfully implemented, on different typologies of structures, may be found in the literature (e.g. Capellari et al [10], Chatzi and Smyth [12], Ferrari et al [26][27][28][29], Koo et al [41], Lee et al [42], Roberts and Dodson [63], and cited references). It is clear that the acquisition stage of signals, from which the current structural conditions may be detected, constitutes a crucial phase for the global success of such an analysis.…”

Section: Introductionmentioning

confidence: 99%

On the denoising of structural vibration response records from low-cost sensors: a critical comparison and assessment

Ravizza

Ferrari

Rizzi

et al. 2021

J Civil Struct Health Monit

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Due to the increasing quest of adopting low-cost sensors in structural health monitoring (SHM) processes, which may lead to detecting signals contaminated by significant levels of noise, the need to devise appropriate and effective denoising strategies, at the post-processing stage, is becoming more and more essential. Among several approaches proposed in the literature, it has been demonstrated that the employment of discrete wavelet transform (DWT) as a multi-rate filter bank, as well as the use of singular value decomposition (SVD), may result to be quite effective in signal denoising within various research fields, as biological, acoustic and mechanical. Here, DWT- and SVD-based denoising techniques are first independently reconsidered and reimplemented, aiming at exploring their optimal calibration in purifying noise-corrupted vibration response signals encountered in civil engineering applications. Then, a systematic performance evaluation is provided within a comparative framework, developed at an increasing level of noise affecting the measurements, in terms of noise-to-signal (N/S) ratio. In the study, two specific classes of synthetic response signals are first considered, namely earthquake and ambient vibration signals, since they may be assumed as representative of more general non-stationary and stationary signal typologies, respectively. To achieve a complete description of the clarified signal, strengths and weaknesses of the two denoising approaches are explored, in both time and frequency domains. The results prove the effectiveness of the analyzed implementations, especially in purifying seismic response signals, while some limitations may arise concerning the treatment of ambient vibration signals, in particular for the DWT-based denoising technique. Finally, a real case study is analyzed, where both denoising approaches are adapted and employed for clarifying acceleration signals detected on a modern short-span railway bridge, with rather satisfactory results, for both techniques.

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“…The procedure for updating the finite element model mostly involves finding the most suitable structural parameter that can minimize the error between the measurement and analysis results by solving the optimization problem. Various types of responses, such as displacement, natural frequency, and mode shape, can be considered as references in matching the actual structure and the finite element model [21][22][23][24][25]. Dynamic characteristics for the natural frequency and mode shape can be measured using the ambient vibration test.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Live Load Distribution Factor for a PSC I Girder Bridge in an Ambient Vibration Test

et al. 2021

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Maintenance of bridges in use is essential and measuring the live load distribution factor (LLDF) of a bridge to examine bridge integrity and safety is important. A vehicle loading test has been used to measure the LLDF of a bridge. To carry this out on a bridge in use, traffic control is required because loading must be performed at designated positions using vehicles whose details are known. This makes it difficult to measure LLDF. This study proposed a method of estimating the LLDF of a bridge using the vertical displacement response caused by traveling vehicles under ambient vibration conditions in the absence of vehicle control. Since the displacement response measured from a bridge included both static and dynamic components, the static component required for the estimation of LLDF was extracted using empirical mode decomposition (EMD). The vehicle loading and ambient vibration tests were conducted to verify the validity of the proposed method. It was confirmed that the proposed method can effectively estimate the LLDF of a bridge if the vehicle type and driving lane on the bridge are identified in the ambient vibration test.

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Model updating of a historic concrete bridge by sensitivity- and global optimization-based Latin Hypercube Sampling

Cited by 82 publications

References 51 publications

Utilizing Statistical Information for Interval Analysis: A Method for Analyzing the Interval Uncertainty of Line-of-Sight Measurement Error of Space-Borne Observation Platforms

Utilizing Statistical Information for Interval Analysis: A Method for Analyzing the Interval Uncertainty of Line-of-Sight Measurement Error of Space-Borne Observation Platforms

On the denoising of structural vibration response records from low-cost sensors: a critical comparison and assessment

Estimation of Live Load Distribution Factor for a PSC I Girder Bridge in an Ambient Vibration Test

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