An Innovative Gradual De-Noising Method for Ground-Based Synthetic Aperture Radar Bridge Deflection Measurement DOI Creative Commons
Runjie Wang,

Haiqian Wu,

Songxue Zhao

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11871 - 11871

Published: Dec. 19, 2024

Effective noise reduction strategies are crucial for improving the precision of Ground-Based Synthetic Aperture Radar (GB-SAR) technology in bridge deflection measurement, particularly mitigating signal introduced by complex environmental factors, and thereby ensuring reliable structural health assessments. This study presents an innovative gradual de-noising method that integrates Improved Second-Order Blind Identification (I-SOBI) algorithm with Fast Fourier Transform (FFT) featuring Adaptive Cutoff Frequency Selection (A-CFS) reducing noises. The novel is a two-stage process. first stage employs proposed I-SOBI to preserve contribution effective information separated signals as much possible recover pure from noisy ones have nonlinear characteristics or non-Gaussian distribution. second utilizes FFT A-CFS further deal residual high-frequency noises still within signals, which conducted under proper cutoff frequency ensure quality de-noised outputs. Through meticulous simulation practical experiments, effectiveness has been comprehensively validated. experimental results state performs better than traditional (SOBI) terms capabilities, achieving higher accuracy measurement using GB-SAR. Additionally, time-series making it well-suited handling characteristics. It significantly contributes provision dynamic-behavior infrastructure assessment.

Language: Английский

Scan-to-BIM-to-Sim: Automated reconstruction of digital and simulation models from point clouds with applications on bridges DOI Creative Commons
Yihai Fang, Stergios Α. Mitoulis,

Daniel Boddice

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104289 - 104289

Published: Feb. 1, 2025

Language: Английский

Citations

1
Machine learning based eddy current testing: A review DOI Creative Commons
Nauman Munir, Jingyuan Huang, Chak‐Nam Wong

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 25, P. 103724 - 103724

Published: Dec. 10, 2024

Language: Английский

Citations

5
Moisture distribution in cross laminated timber (CLT) made from heat-treated wood DOI

Vahid Broushakian,

Behbood Mohebby

European Journal of Wood and Wood Products, Journal Year: 2025, Volume and Issue: 83(2)

Published: Feb. 5, 2025

Language: Английский

Citations

0
Self-repairing Wood-based Composites Enabled by Pressure-Sensitive Soy-Protein-based Adhesive Containing Microcapsules DOI Creative Commons

Yuelong Huang,

Yijing Tu,

Zhiqiang Zhu

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104433 - 104433

Published: Feb. 1, 2025

Language: Английский

Citations

0
Research on the influence laws of traffic and temperature loads on the strain responses of urban girder bridges DOI Creative Commons
Wenting Qiao, Yongcheng Qi, Yang Liu

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: 25, P. 104423 - 104423

Published: Feb. 21, 2025

Language: Английский

Citations

0
Basic evaluation and restoration process for the structural characteristics of historically significant timber bridges in Türkiye: case studies in Eastern Black Sea Region DOI

Zeliha Tonyalı,

Fatma Birinci Kayaalp,

Adnan Kıral

et al.

Wood Material Science and Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 29

Published: March 3, 2025

Language: Английский

Citations

0
Digital Twins in Structural Health Assessment and Monitoring: Applications in Historical Timber Buildings DOI
Mariapaola Riggio, Vahid Nasir

International Journal of Architectural Heritage, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: Dec. 12, 2024

This paper explores the application of Digital Twins (DTs) for supporting structural health monitoring (SHM) timber buildings, with a particular emphasis on historical structures. It reviews technologies and methods DT creation, examining how geospatial data Building Information Modeling (BIM) serves as foundational elements in developing digital twins. The discusses integrating these various models to enhance SHM tasks, detailing actionable approaches documenting, analyzing, simulating predicting behavior. study highlights that while high-fidelity geometric are well developed, their advanced tasks remains limited. Integration sensor into BIM frameworks is promising but still faces challenges such limited automation difficulties handling real-time long-term data. Additionally, notes implementation DTs simulation effects hygrothermal phenomena behavior durability structures underexplored. Multi-dimensional machine deep learning techniques data-driven, physics-based cultural heritage management beyond.

Language: Английский

Citations

1
An Innovative Gradual De-Noising Method for Ground-Based Synthetic Aperture Radar Bridge Deflection Measurement DOI Creative Commons
Runjie Wang,

Haiqian Wu,

Songxue Zhao

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11871 - 11871

Published: Dec. 19, 2024

Effective noise reduction strategies are crucial for improving the precision of Ground-Based Synthetic Aperture Radar (GB-SAR) technology in bridge deflection measurement, particularly mitigating signal introduced by complex environmental factors, and thereby ensuring reliable structural health assessments. This study presents an innovative gradual de-noising method that integrates Improved Second-Order Blind Identification (I-SOBI) algorithm with Fast Fourier Transform (FFT) featuring Adaptive Cutoff Frequency Selection (A-CFS) reducing noises. The novel is a two-stage process. first stage employs proposed I-SOBI to preserve contribution effective information separated signals as much possible recover pure from noisy ones have nonlinear characteristics or non-Gaussian distribution. second utilizes FFT A-CFS further deal residual high-frequency noises still within signals, which conducted under proper cutoff frequency ensure quality de-noised outputs. Through meticulous simulation practical experiments, effectiveness has been comprehensively validated. experimental results state performs better than traditional (SOBI) terms capabilities, achieving higher accuracy measurement using GB-SAR. Additionally, time-series making it well-suited handling characteristics. It significantly contributes provision dynamic-behavior infrastructure assessment.

Language: Английский

Citations

0