Real‐Time Frequency‐Domain Decomposition for Structural Health Monitoring Using General‐Purpose Graphic Processing Unit

Torbol, Marco

doi:10.1111/mice.12097

Cited by 28 publications

(17 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Čygas et al (2015) present health monitoring of pavement structures. Torbol (2014) presents real time frequency domain decomposition for structural health monitoring using general purpose graphic processing units. Story and Fry (2014) Fig.…”

Section: Discussionmentioning

confidence: 99%

New discrete-time robust H2/H∞ algorithm for vibration control of smart structures using linear matrix inequalities

Adeli

2016

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

New discrete-time robust H2/H∞ algorithm for vibration control of smart structures using linear matrix inequalities

Adeli

2016

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

“…Although the real‐time application is not within the scope of this study for crack width measurement, it is a desirable feature for large‐scale pavement crack evaluation. In the future implementation, optimization of the current algorithms and parallelization of the proposed method are recommended to take full advantage of the parallel computing (Tsai and Huang, ; Torbol, ) and large‐scale engineering computation capacities in pavement and structure engineering (Adeli and Vishnubhotla, ; Adeli and Kamal, ; Adeli and Kamal, ; Adeli and Kamal, ).…”

Section: Experimental Testsmentioning

confidence: 99%

Pavement Crack Width Measurement Based on Laplace's Equation for Continuity and Unambiguity

Wang

Zhang

Wang

et al. 2017

Computer aided Civil Eng

View full text Add to dashboard Cite

Crack is one of the most important pavement condition indicators that are immediately relevant to water ingress and pavement deterioration. In practices of pavement management, crack width has been extensively referenced by highway agencies to determine pavement crack severity. Accurate measurement of pavement crack width is meaningful for highway agencies in understanding the mechanism of crack formation, and in predicting crack propagation. This article presents a new automatic method for measuring crack width using the binary crack map images. The proposed method introduces a new crack width definition and formulates it using the Laplace's Equation so that crack width can be continuously and unambiguously measured. Two algorithms, including the crack blob extraction algorithm and the crack

show abstract

“…Parallel computing techniques were adopted to conduct large‐scale engineering computations (Adeli and Kamal, , ,b; Adeli and Hung, ; Adeli and Kumar, ,b; Torbol, ). The fundamental challenge of parallel computing is to reformulate the problem and develop parallel algorithms so that the parallel machines can be fully utilized (Adeli and Vishnubhotla, ).…”

Section: Introductionmentioning

confidence: 99%

The Fast Prefix Coding Algorithm (FPCA) for 3D Pavement Surface Data Compression

Zhang

Wang

2016

Computer aided Civil Eng

View full text Add to dashboard Cite

The enormous data inflow during three‐dimensional (3D) pavement surface data collection requires an efficient compression system for 3D data. However, with respect to the phase of lossless encoding, the commonly used Huffman Coding is inefficient in terms of speed and memory usage for encoding 3D pavement surfaces. The Fast Prefix Coding Algorithm (FPCA) is proposed in the article as an effective substitute of Huffman Coding at the stage of lossless encoding. It is demonstrated in the article that the FPCA is much faster and more memory efficient than Huffman Coding, while outperforming Shannon–Fano Coding in terms of both redundancy and time efficiency. The FPCA‐based coding approach is a modification of the baseline JPEG algorithm to support 3D pavement data whose dynamic range is more than 12 bits. The presented modifications include algorithms for Quantization, Run‐Length Encoding and Entropy Coding without limiting data depth in terms of dynamic range. Compared with the baseline JPEG approach, the proposed coding system is able to restrict the data loss more successfully and can achieve a significantly higher level of time efficiency and compression ratio (over than 30:1 for most of the evaluated 3D images). With parallel computing techniques, encoding full‐lane width pavement in 3D and at 1 mm resolution with an up‐to‐date desktop computer can be conducted at 150 MPH or even higher speed.

show abstract

Real‐Time Frequency‐Domain Decomposition for Structural Health Monitoring Using General‐Purpose Graphic Processing Unit

Abstract: Frequency-domain decomposition (FDD) is used in civil engineering

Cited by 28 publications

References 46 publications

New discrete-time robust H2/H∞ algorithm for vibration control of smart structures using linear matrix inequalities

New discrete-time robust H2/H∞ algorithm for vibration control of smart structures using linear matrix inequalities

Pavement Crack Width Measurement Based on Laplace's Equation for Continuity and Unambiguity

The Fast Prefix Coding Algorithm (FPCA) for 3D Pavement Surface Data Compression

Contact Info

Product

Resources

About