Non-contact structural health monitoring of a cable-stayed bridge: case study

Alamdari, Mehrisadat Makki; Liu, Ge; Kildashti, Kamyar; Zhou, Yuxuan; Harvey, Bruce; Du, Zheyuan

doi:10.1080/15732479.2019.1609529

Cited by 23 publications

(8 citation statements)

References 36 publications

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“…ML originated from artificial intelligence (AI) and has been used in recent years in various scientific areas. Increasing applications of RS [48][49][50][51][52][53][54] and ML [55][56][57][58][59] in structural health monitoring of infrastructures in recent years motivates the authors to conduct this idea. Second, the authors intend to extend the proposed methodology for other types of bridges, including steel and stone (old) bridges.…”

Section: Indexmentioning

confidence: 99%

Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran

et al. 2021

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This paper proposes a method for monitoring the structural health of concrete bridges in Iran. In this method, the bridge condition index (BCI) of bridges is determined by the analytical hierarchy process (AHP). BCI constitutes eight indices that are scored based on the experts’ views, including structural, hydrology and climate, safety, load impact, geotechnical and seismicity, strategic importance, facilities, and traffic and pavement. Experts’ views were analyzed by Expert Choice software, and the relative importance (weight) of all eight indices were determined using AHP. Moreover, the scores of indices for various conditions were extracted from experts’ standpoints. BCI defines as the sum of weighted scores of indices. Bridge inspectors can examine the bridge, determine the scores of indices, and compute BCI. Higher values of BCI indicate better conditions. Therefore, bridges with lower BCI take priority in maintenance activities. As the case studies, the authors selected five bridges in Iran. Successful implementation of the proposed method for these case studies verified that this method can be applied as an easy-to-use optimization tool in health monitoring and prioritizing programs.

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Section: Indexmentioning

confidence: 99%

Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran

et al. 2021

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“…Deformation measurement is focused on changes in the relative position of a structure, which requires the collection scanning data at a certain interval to maintain periodic monitoring of the structural response by comparing data at different time points. Various case studies have been carried out on the monitoring of engineering structures, including buildings [ 104 , 145 ], dams [ 113 , 122 , 126 , 130 ], bridges [ 59 , 100 , 105 , 106 , 108 , 109 , 110 , 116 , 118 , 119 , 121 , 123 , 124 , 128 , 137 , 144 ], tunnels [ 57 , 80 , 103 , 107 , 114 , 115 , 117 , 125 , 127 , 129 , 131 , 132 , 134 , 135 , 136 , 139 , 140 ], stations [ 99 , 143 ], foundation pits [ 186 ], pipe racks [ 52 ], towers [ 101 ], and many others. In addition, another main direction of studies for deformation measurement is to perform structural health monitoring of infrastructures that are in service for a long time, especially for masonry [ 99 , 1...…”

Section: Research Topics Related To Tls In the Aec Industrymentioning

confidence: 99%

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

Yuan

Yang

et al. 2021

Sensors

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As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and efficient large-scale sampling capability. TLS has extended a new approach to capturing extremely comprehensive data of the construction environment, providing detailed information for further analysis. This paper presents a systematic review based on scientometric and qualitative analysis to summarize the progress and the current status of the topic and to point out promising research efforts. To begin with, a brief understanding of TLS is provided. Following the selection of relevant papers through a literature search, a scientometric analysis of papers is carried out. Then, major applications are categorized and presented, including (1) 3D model reconstruction, (2) object recognition, (3) deformation measurement, (4) quality assessment, and (5) progress tracking. For widespread adoption and effective use of TLS, essential problems impacting working effects in application are summarized as follows: workflow, data quality, scan planning, and data processing. Finally, future research directions are suggested, including: (1) cost control of hardware and software, (2) improvement of data processing capability, (3) automatic scan planning, (4) integration of digital technologies, (5) adoption of artificial intelligence.

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“…In a study by Alamdari et al [108] three different non-contact sensing techniques were examined to monitor the integrity of a cable-stayed bridge. Namely laser scanning, robotic total station and digital levelling were deployed to acquire displacement profiles at four discrete points.…”

Section: Engineering Technology Open Access Journalmentioning

confidence: 99%

A Literature Review of Non-Contact Tools and Methods in Structural Health Monitoring

Vegas

2021

ETOAJ

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In this review paper, the methodology employed was undertaken according to the following steps. First, the literature was collected from the SCOPUS database due to it indexes the largest number of journals and is commonly used in engineering fields [12,13]. The initial search was performed on the 21st of January 2021 with the keywords "structural health monitoring" and with the aim of obtaining exclusively the non-contact literature, the specific query was: TITLE-ABS-KEY ("structural health monitoring" AND non-contact* OR noncontact* OR contactless). The boolean operators (AND, OR, *) are used to include entirely the non-contact literature and to incorporate potential literature with different spellings of non-contact. An initial 623 results were obtained, a further limit was imposed on only English language documents. The search was not limited to a time frame, resulting in 608 documents from 1994 to 2021 plotted in Figure 1. Then, the 608 articles were browsed and 92 irrelevant documents (e.g., medical fields) were excluded and subsequently were classified according to the main method/tool, Table 1 summarizes it. Figure 1: Research publications on the use of non-contact methods and tools in structural health monitoring.Table 1: Non-contact methods/tools in SHM. Methods Number of Articles Percentage Vision-based 146 28.29% Guided Waves 91 17.64% Ultrasound 49 9.50% Vibration 47 9.11% Magnetic Methods 33 6.40% Acoustic based 31 6.01% Displacement based 28 5.43% Thermal Inspection 18 3.49%

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Non-contact structural health monitoring of a cable-stayed bridge: case study

Cited by 23 publications

References 36 publications

Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran

Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

A Literature Review of Non-Contact Tools and Methods in Structural Health Monitoring

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