Implementation of PPP-GNSS measurement technology in the probabilistic SHM of bridge structures

Vázquez-Ontiveros, J. René; Vázquez-Becerra, G. Esteban; Quintana, Juan A.; Carrión, Francisco J.; Guzman-Acevedo, G. Michel; Gaxiola‐Camacho, J. Ramon

doi:10.1016/j.measurement.2020.108677

Cited by 30 publications

(7 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is widely known that the form of the selected PDF will depend on the stochastic behavior of the variable in study. Thus, in this paper 11 PDFs are integrated in the novel probabilistic approach presented in this paper: (1) Normal, (2) Lognormal, (3) BirnbaunSaunders, (4) Extreme Value (EV), (5) Gamma, (6) Generalized Extreme Value (GEV), (7) Logistic, (8) Log-logistic, (9) Stable, (10) t Location Scale (tLS), and (11) Weibull [23]. Hence, depending on the random variable and considering a Chi-squared test, the best-fitted PDF is selected to extract structural risk.…”

Section: Immediate Occupancy 50% In 50 Years 72mentioning

confidence: 99%

Structural reliability of steel buildings with X‐bracing systems considering the performance‐based seismic design philosophy

Gutierrez‐Lopez,

Alvarado‐Valle,

Tolentino

et al. 2023

Applied Research

View full text Add to dashboard Cite

The main objective of this paper is to study and compare the structural reliability of steel moment resisting frames (SMRFs) and steel frames with X‐bracing systems considering the performance‐based seismic design (PBSD) philosophy. In this sense, to accomplish such a study, nonlinear response history analysis is implemented. The buildings under consideration are designed to be located in Culiacan, Mexico. The results are presented in terms of overall displacements, rotations of connections, and interstory drifts, for three performance levels: (1) immediate occupancy, (2) life safety, and (3) collapse prevention, respectively. For each performance level, 11 ground motions were selected to study the response of the structures. Such responses were extracted by using the SAP2000 commercial software to perform structural analysis. It was demonstrated that the steel frame with X‐bracing systems developed a better seismic performance than SMRFs for all three variables under consideration. In addition, it was found that a reduction up to 70% in overall displacements and interstory drifts can be achieved when X‐bracing systems are used in steel structures. The risk of the structures was extracted in terms of reliability index and probability of failure considering probability density functions of interstory drifts. It was demonstrated that reliability index increased for structures with X‐bracing systems in comparison with SMRFs. Finally, in terms of costs, steel structures with X‐bracing systems are more expensive than SMRFs. However, its use is justified because serviceability conditions as overall displacement and interstory drift are considerably reduced.

show abstract

Section: Immediate Occupancy 50% In 50 Years 72mentioning

confidence: 99%

Structural reliability of steel buildings with X‐bracing systems considering the performance‐based seismic design philosophy

Gutierrez‐Lopez,

Alvarado‐Valle,

Tolentino

et al. 2023

Applied Research

View full text Add to dashboard Cite

show abstract

“…Their review revealed that new methods for inspecting and monitoring bridge safety are being made possible by advances in sensing systems, signal processing, communications, and data-mining technologies. In another study, Vazquez-Ontiveros et al [35] created a new SHM technique by combining the Precise Point Positioning GNSS-Global Navigation Satellite System (PPP-GNSS) measurement technology with a different probabilistic strategy. They used the El Carrizo Bridge as a case study, and their results showed the precision of PPP-GNSS measurement technology as well as the potential advantages of the alternative probabilistic SHM technique.…”

Section: The Importance Of Using the Shm Systemmentioning

confidence: 99%

The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges

et al. 2022

View full text Add to dashboard Cite

The challenges of urban administration are growing, as the population, automobiles, and cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A key feature of the “smart cities” of today is that they use cutting-edge technology in their infrastructure and services. With strategic planning, the smart city utilizes its resources in the most efficient manner. With reduced expenses and enhanced infrastructure, smart cities provide their residents with more and better services. One of these important urban services that can be very helpful in managing cities is structural health monitoring (SHM). By combining leading new technologies like the Internet of Things (IoT) with structural health monitoring, important urban infrastructure can last longer and work better. A thorough examination of recent advances in SHM for infrastructure is thus warranted. Bridges are one of the most important parts of a city’s infrastructure, and their building, development, and proper maintenance are some of the most important aspects of managing a city. The main goal of this study is to look at how artificial intelligence (AI) and some technologies, like drone technology and 3D printers, could be used to improve the current state of the art in SHM systems for bridges, including conceptual frameworks, benefits and problems, and existing methods. An outline of the role AI and other technologies will play in SHM systems of bridges in the future was provided in this study. Some novel technology-aided research opportunities are also highlighted, explained, and discussed.

show abstract

“…For example, conventional strain gauges are limited in their ability to realize large-area sensing due to their limited size and time-consuming and laborious surface preparation process. In addition to this, they require periodic calibration to collect an accurate response, and they are very sensitive and can be damaged by overloading and/or extreme temperatures [32]. Vibrating wire strain gauges, while robust, are difficult to replace in the event of failure because they need to be embedded in concrete for measurements.…”

Section: Introductionmentioning

confidence: 99%

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Zhao,

Bai,

Liang

et al. 2023

Buildings

View full text Add to dashboard Cite

Strain measurements have a significant role in evaluating the condition of various structural types and have become an essential component in the area of structural health monitoring. However, there are some limitations in the current means of strain measurement, and this study aims to improve these methods. We have designed a novel strain measurement method based on template matching algorithms and microscopic vision techniques, developed a new sliding strain sensor, and paired it with a new microscope to realize strain measurement. The method has the function of remote wireless acquisition with a cell phone, which is more widely applicable. In the laboratory performance testing, the zero drift of the sensor is mainly concentrated in the fluctuation range of ±2 με, and the effective range reaches nearly 40,000 με. In the comparison experiments with the linear variable differential transformer, the maximum error of the static loading is only 5 με, and the maximum error rate of the dynamic loading is less than 1%, which proves that it has a relatively high accuracy. Finally, the short-term real-time monitoring of the local structure of the footbridge was accomplished, and the strain changes on the surface of the structure were captured instantly, stably, and efficiently in the actual measurements. The proposed strain measurement system has the advantages of high accuracy, a low cost, convenient measurement, and wide applicability, and it provides a novel alternative means for strain measurement in the field of structural health monitoring.

show abstract

Implementation of PPP-GNSS measurement technology in the probabilistic SHM of bridge structures

Cited by 30 publications

References 30 publications

Structural reliability of steel buildings with X‐bracing systems considering the performance‐based seismic design philosophy

Structural reliability of steel buildings with X‐bracing systems considering the performance‐based seismic design philosophy

The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges

Design and Verification of a Novel Structural Strain Measuring Method Based on Template Matching and Microscopic Vision

Contact Info

Product

Resources

About